Table of contents

• Message from the Canadian Statistics Advisory Council
• Executive summary
• 1. Introduction
• 2. National data strategy
  • 2.1. Critical data gaps
    • Data gaps on health and health care
    • Data gaps on racialized groups and Indigenous peoples
  • 2.2. Serious imbalances in funding statistical programs
• 3. Privacy and data sharing
  • 3.1. Provincial and territorial data sharing
• 4. Microdata access
  • 4.1 Modernizing the Microdata Access Program
• Definitions
• Endnotes

Executive summary

Statistics Canada's central role as an independent national statistical organization has never been more critical to meeting the need for timely and high-quality statistics in Canada. Having an independent and trusted source of official statistics provides a solid foundation for government accountability and evidence-based decision making by both the public and the private sectors for the benefit of all Canadians.

The fast pace of social and economic change is affecting the kinds of data and analyses Canadians need. There has also been a dramatic shift in how Canadians receive information, with a proliferation of information from new sources, such as social media. New tools are being used to collect, process, transform and visualize information. For Canada to succeed in this dynamic digital economy, Statistics Canada must play a central leadership role, coordinating with governments and organizations to produce coherent and trusted national statistical information.

Canadians have provided personal data to Statistics Canada for over 100 years. The confidentiality of their information is protected under the Statistics Act, and, under federal data protection laws, Statistics Canada must respect the privacy of Canadians. There should be no conflict between respect for the privacy of Canadians and the need for Canadians to provide data to Statistics Canada.

1. Introduction

Statistics Canada's central role as an independent national statistical organization has never been more critical to meeting the need for timely and high-quality statistics in Canada. Having an independent and trusted source of official statistics provides a solid foundation for government accountability and evidence-based decision making by both the public and the private sectors for the benefit of all Canadians. These decisions affect everybody's daily lives, including their health, where they live, where they work and their wages.

Fundamental to public trust is the clear independence of the country's national statistical office, where high-quality statistics and pertinent statistical analyses are produced with objective methods and with outputs that are accessible to everyone. The requirement that statistical information not be subject to political pressure and not serve special interests must be well recognized. This way, even people who may not trust their government can trust the statistical results and, just as importantly, entrust their information to Statistics Canada.

Canadians have provided personal data to Statistics Canada for over 100 years. The confidentiality of their information is protected under the Statistics Act, and, under federal data protection laws, Statistics Canada must also respect the privacy of Canadians. There should be no conflict between respect for the privacy of Canadians and the need for Canadians to provide data to Statistics Canada.

The fast pace of social and economic change is affecting the kinds of data and analyses Canadians need. For example, with the growth of online shopping, Statistics Canada requires new methods to measure consumer spending. Data on consumer spending are used to produce the Consumer Price Index, which Canadians depend on as a measure of inflation that affects wages, pensions, the cost of goods and interest rates. There has also been a dramatic shift in how Canadians receive information, with a proliferation of information from new sources, such as social media. New tools are being used to transform and visualize information, with significant increases in the flows of information, the extent of interconnectedness, and the development of increasingly powerful artificial intelligence software.

Not all available data sources are of good quality, nor do they all take measures to protect the privacy of personal information. Big datasets (usually characterized by their high volumes of data, speed of updates and variety of formats) and web-scraped data (data extracted from websites) are important new sources of data. However, their value for statistical analysis often has significant limitations, such as the underrepresentation of people with certain social or economic characteristics.

For Canada to succeed in this dynamic digital economy, Statistics Canada's role is key. The agency not only has the mandate to produce high-quality national social and economic measures, as well as more disaggregated statistical portraits, it also must play a central leadership role in coordinating data collection and integration with governments and organizations to produce coherent national statistical information for the benefit of all Canadians. This includes supporting leading-edge analysis of this statistical information.

Statistics Canada is responding to these challenges by developing, piloting and deploying new data sources, collection techniques and modelling to add depth and agility to its statistical programs. It has also engaged with Canadians in new ways—for example, using social media to encourage participation in web panel surveys and crowdsourcing surveys. At the same time, the federal government needs to seriously commit to starting a dialogue to address persistent, systemic data gaps. In some key sectors, fragmented data and an unwillingness to share data across jurisdictions have hampered Statistics Canada's ability to create needed nationwide datasets on a timely basis to address the country's most complex and dynamic challenges.

2. National data strategy

Nationwide data are a key strong foundation for decision makers and governments at all levels, as well as the general public, to understand and address important social, health, economic, environmental and energy issues facing Canadians.

Canada does not have a proactive national data strategy that considers the information needs of both today and the future and that puts in place new data sources to inform and anticipate emerging issues and concerns. Throughout its history, Statistics Canada has continually modernized its statistical programs to provide Canadians with the nationwide data and statistical information they need.

Its current modernization initiative is in response to a rapidly evolving digital economy and society. However, there are important data gaps in sectors such as health, energy and the environment, and a lack of sociodemographic detail, including about racialized and Indigenous groups, in social and economic indicators.

New governance mechanisms are required to formally open new dialogues on national data needs and how to best collect and share this information. This must be led by Statistics Canada, in accordance with its mandate, with the full support and funding of the federal government. It must also include all levels of government and statistical organizations. Without a national data strategy, bureaucratic inertia and other hindrances to collecting and sharing statistical information across jurisdictions will continue to outweigh efforts to develop needed nationwide data accessible to all Canadians.

A national data strategy could include First Nations, Inuit and Métis organizations that are planning, implementing and exercising control over the delivery of services to their communities. The nature of the data and analytical skills they require is changing and is more specific to regional and local issues that affect their peoples. Collection for new data needs could be done in partnership with Statistics Canada and other departments. This includes, for example, the need for data to support indicators of well-being, resiliency, understanding, and measurable progress on reconciliation and economic measures.

Statistics Canada is well positioned to lead the various dialogues on national data and information needs. Its proven operational infrastructure provides an essential foundation, given that the agency has developed statistical data from hundreds of federal, provincial and territorial administrative data files. Its expertise in developing high-quality data using standardized concepts and classifications is recognized internationally. Statistics Canada also has the ability, with the required confidentiality protections in place, to combine and link these data with data from other sources to produce the statistical information needed to address national data gaps.

Statistics Canada must build on the new avenues of collaboration created as governments and experts came together in response to the COVID-19 pandemic. This involves working with governments at all levels, other organizations, and new public and private sector partners to produce nationally comparable data that are representative of all Canadians. It also involves developing a close relationship with Canadians to better understand how to maintain their trust as an independent national statistical office and being transparent with regard to the privacy and confidentiality of Canadians' personal information.

Statistical data requirements and funding should be explicitly included in the planning for all federal government programs. There is presently no standard or coordinated way to assess priority data requirements within the federal government. Statistics Canada works closely with most federal departments and organizations in reviewing their data needs. However, these discussions tend to involve only one or two departments at a time, reducing the scope and richness of the information collected. Statistics Canada is also often not actively consulted in the planning of new federal programs, limiting the statistical measures that should be produced.

The federal government should enable Statistics Canada to work collectively with all departments to establish, maintain and act upon a national data strategy that recognizes the interactions between economic, social, health, environmental and energy issues. Data and statistical information should be formally integrated in federal planning processes to more aptly measure, monitor and evaluate federal program outcomes.

2.1 Critical data gaps

It is essential that the country's decision makers have high-quality data and statistical information that represent all regions of Canada and the full range of experiences of individual Canadians. Statistics Canada's current statistical output is vast. Users can access statistical tables, data files and analyses on just about any topic of interest.

At the same time, these data do not always tell the whole story. Information that spans the social, economic and geographic spectrum is often not available. The rapid rise of the digital economy and the impacts of climate change on the environment are examples of areas where new types of data are required to measure impacts on Canadian society and on the Canadian economy. Understanding the barriers faced by racialized groups and Indigenous Peoples also requires more detailed and disaggregated data on employment, income, health and justice.

This year's report focuses on two areas where critical data gaps have long existed. These have become especially evident recently, with the COVID-19 pandemic and increased global awareness of racial inequities.

Data gaps on health and health care

Experts have been saying for years that national health data in Canada are seriously deficient, resulting in inadequate measures of the population's health status and the functioning of the health care sector. Rectifying this situation must be a top national statistics priority. Federally, health data are collected primarily by Statistics Canada (health status and health care) and the Canadian Institute for Health Information (health system performance).

A substantial amount of health data presently exists within provincial and territorial jurisdictions, and it is increasing as hospitals and community clinics adopt new technologies to collect and use health information. This information has tremendous potential for national research on health care and population health. Yet Canada-wide health data are largely fragmented, often unavailable and inconsistent.

This became quickly apparent during the COVID-19 pandemic, when key health data were seriously lacking and inadequate for providing decision makers with the statistical indicators they needed. For example, basic information on COVID-19 confirmed cases and deaths, as well as more detailed information such as that found in hospital records, suffered from delays, incomplete and missing data, and inconsistent definitions across jurisdictions.

These data gaps and inconsistencies have led to serious shortcomings in the timeliness, completeness and quality of Canadian health care and health outcome data. In turn, this has greatly impaired the ability of governments at all levels to monitor and assess the evolution of the pandemic, let alone address serious health issues in Canada.

Barriers to national health data

Provincial, territorial and regional health authorities collect institution-specific health data primarily to administer health care services within their own jurisdictions. Consistency across regions in concepts, definitions, specific data elements collected and completeness of records is often not a priority. It takes months and sometimes longer for information as basic as that from death certificates to become part of the nationwide data that are needed to track deaths related to the pandemic. The methods used to collect medical records from hospitals and community clinics also range widely, from faxed documents to electronic records transferred directly to centralized health care databases. As well, the various software systems designed to collect and retain information such as medical records are often incompatible, limiting the information public health agencies have on important areas.

Some health authorities have invoked provincial data protection laws as barriers to sharing certain information outside their borders. However, the sharing of identifiable data with Statistics Canada is permitted under their data protection laws, in accordance with the Statistics Act. There is also a strong reticence on the part of many provincial and territorial health organizations and communities to share data across health care systems within Canada. Some health officials do not feel that their programs should be subject to scrutiny outside their jurisdiction.

A national health data infrastructure is essential both for supporting health policies and the health care Canadians receive and, more specifically, for managing emergencies such as the current pandemic. The federal government transfers billions of dollars annually to the provinces and territories to help fund health care services, with increases likely in the future for long-term care and possibly pharmacare. The funding of these services must include a provision for nationally comparable health data to measure the state of health and health care in Canada, and the functioning of the health care sector.

Data gaps on racialized groups and Indigenous peoples

The ability to address barriers faced by racialized groups and Indigenous peoples in Canada is seriously hampered by the lack of timely, consistent and disaggregated data.

While the data gaps are not new, recent events in Canada and the United States have brought them to the forefront. For example, the data needed to properly examine the impact of the COVID-19 pandemic on the health and well-being of racialized groups, particularly Black Canadians, and Indigenous communities have not been available. Public outcry has increased following the deaths of Black people at the hands of police officers in the United States and Canada. Supporters of movements such as Black Lives Matter and Indigenous Lives Matter are demanding reforms to address systemic discrimination in areas such as health, employment, housing and justice.

Canada is among the world's most ethnically diverse countries. More than one-fifth of Canadians identify as belonging to a visible minority group. This proportion is projected to increase, as they represent a large majority of new immigrants to Canada, particularly in large cities.

Despite their growing numbers, there have been relatively few national studies of how these groups are faring in Canada. With the census as the main source of information, reports tend to be descriptive profiles of immigrants, visible minorities and Indigenous groups, including general analyses of changes in housing, employment and income. Much of the information available to decision makers is highly aggregated, partial and anecdotal.

Canada needs much more comprehensive data to inform the current debates on the barriers many Canadians face to fully engage in all aspects of society and the economy. It is essential to look beyond the census for high-quality statistical information disaggregated by racialized and Indigenous groups that integrate elements such as family, housing, education, employment, income and well-being.

Surveys generally do not have a large enough sample size to produce detailed disaggregated data, though the Canadian Community Health Survey, the Indigenous Peoples Survey, and more recently, the Labour Force Survey do provide general trends for visible minorities and for Indigenous people living off reserve.

To make inroads in developing a national infrastructure for data by race and by Indigenous group, the focus must include governments' administrative data in areas such as labour, education, health, housing and justice. While a large number of federal, provincial and territorial government departments and organizations already share their administrative data with Statistics Canada, few of these sources include data by racialized and Indigenous groups.

There is pressure from many Canadians and decision makers for government departments to begin incorporating information on race and on Indigenous peoples into their datasets for statistical purposes. Some Canadians may hesitate to share this information with government authorities, but, at the same time, many within these groups have long called for authorities such as police forces to collect this information.

There have been encouraging initiatives. Statistics Canada is presently in discussions with the Public Health Agency of Canada and the Canadian Institute for Health Information on how nationally standardized concepts and definitions must be applied to their planned collection of race-based health data. Also, Statistics Canada and the country's police chiefs have agreed to collect this information when compiling information on victims and accused people to address data gaps for Indigenous peoples and other sociodemographic groups. Statistics Canada has also created the Advisory Committee on Ethnocultural and Immigration Statistics and the Working Group on Black Communities in Canada to counsel the agency.

Statistics Canada is engaging with national Indigenous organizations to provide statistical capacity building that is grounded in the needs of Indigenous peoples. Efforts are being made to identify where data gaps exist and how Statistics Canada data sources and expertise can help improve data quality and access, and support decision making. Statistics Canada's "Statistics on Indigenous peoples" web portal enables users to access data on Indigenous communities on topics such as children and families, health and well-being, education, and work.

Nevertheless, critical data gaps remain, and more needs to be done to address them.

2.2 Serious imbalances in funding statistical programs

It is important that public and private sector decision makers have high-quality data and statistical information that represent all regions of Canada and the full range of circumstances of individual Canadians. Stable core funding for Statistics Canada's programs is essential to having this information. Statistics Canada is given the resources to produce economic indicators for about 20 key areas of economic activity, such as the gross domestic product (GDP), consumer prices and employment. During the COVID-19 pandemic, the agency has been able to continue producing these data, which are critical for assessing the economic impact of the crisis. However, there is an increasing focus on social and environmental data, which measure other important contributors to well-being, beyond the traditional economic measures. This is reflected in a growing international consensus on the need to go beyond the GDP, recognizing that social, health, economic and environmental factors all affect people's well-being. How these various factors interact and affect each other also has significant impacts on individuals, as well as on national and regional economies.

Many of Statistics Canada's key social statistics programs, and certain economic, environmental and energy programs, are largely dependent on ad hoc funding and cost-recovery transfers from federal departments. Support for these programs is often based on the siloed needs of one or two departments. These programs' vulnerability to cuts can significantly affect important and more comprehensive data needs and areas of research. Stable core funding for these programs is essential to support a national data strategy that includes all factors affecting society and the economy.

3. Privacy and data sharing

Statistics Canada has the authority under the Statistics Act to collect personal data to produce the social and economic statistical information that forms the foundation for data-driven decision making for the well-being of all Canadians. For over 100 years, Canadians have provided this information to Statistics Canada, which has maintained the confidentiality of these data and produced statistics without revealing identifiable information about individuals, in accordance with the Statistics Act.

It is essential that citizens understand the importance of evidence-based decision making for Canada to succeed in the new data economy. Governments also need to recognize that traditional ways of collecting information are no longer sufficient. They must support Statistics Canada in its work to provide the key statistical information needed by governments and Canadians to address the increasingly complex and dynamic challenges they face.

There should be a more extensive conversation with Canadians about the alignment between privacy and the need for data for effective decision making. This discussion would facilitate mutual understanding by Canadians and governments of the issues at hand and provide a forum for the exchanges that need to occur for Canada to truly benefit from an independent and trusted source of official statistics. The country needs a solid foundation for government accountability and evidence-based decision making by both the public and the private sectors.

Statistics Canada has been working with expert groups in Canada and with national statistical offices from around the world to explore the possibility of producing high-quality statistics from digital administrative data—both data from governments (e.g., tax files, health care encounters, property tax assessments, driver's licences) and big data from the private sector (e.g., retail transactions, credit card transactions, mortgages, other debt). Being able to use these new, primarily electronic, sources of data will enable Statistics Canada to address the critical needs for new and more disaggregated data in Canada—data that are integrated across the social, health, economic, environmental and energy domains.

Many countries are reviewing their data protection laws, given both the dramatic increase in the prevalence and use of personal information from administrative data, and growing concerns about the data holdings of multinational social media companies. In doing so, they recognize the importance of collecting personal information for specific legitimate purposes, when done under the country's legal authority and in a transparent manner. For example, the European Union's General Data Protection Regulation recognizes the need for national statistical offices to access personal information, permitting the flow of the information for statistical research for the public good, without requiring consent.

In Canada, Statistics Canada's project to collect detailed data on banking and credit card transactions has drawn particular attention. These new sources of information are key to addressing emerging critical data gaps in Canada's economic and financial measures as a result of important changes to consumer patterns and debt. In response to concerns raised by some Canadians, Statistics Canada suspended its work to address them before proceeding with the project. The agency is also collaborating with the Office of the Privacy Commissioner to address concerns as a result of complaints it received about this project. After investigating these complaints, the Privacy Commissioner of Canada concluded that Statistics Canada was not in contravention of the Privacy Act.

The need for transparency on matters of privacy and confidentiality is essential to maintaining public trust. Statistics Canada must clearly inform Canadians why the information it collects is needed and explain the measures it takes to protect the confidentiality of Canadians' personal information. The need for transparency is especially heightened in this project, given the sensitivity of personal banking information and the volume and detail of information that may be collected.

Moving forward, the agency needs to engage with a focus on guiding principles to meet the rapidly changing data context. Statistics Canada is working in consultation with the Privacy Commissioner of Canada to develop a new methodology framework based on the principles of necessity and proportionality. This methodology framework, which the agency is sharing with the global statistical community, is a significant and thoughtful initiative.

The framework recognizes Statistics Canada's legal authority under the Statistics Act to collect personal information for statistical purposes, and Statistics Canada's legal obligation under the same act to ensure the confidentiality of this information. The framework also recognizes the country's data protection laws. These include the federal Privacy Act, which sets out how personal information held by the federal government and federal public sector institutions is used, stored and shared, and the Personal Information Protection and Electronic Documents Act, which sets out how organizations engaged in commercial activities must handle personal information.

3.1 Provincial and territorial data sharing

The provinces and territories have a long history of sharing administrative data with Statistics Canada in areas such as vital statistics, education and justice. Statistics Canada has the authority to collect these data under the Statistics Act, and most provinces and territories have provisions in their data protection laws to enable them to share data for statistical purposes for the public good.

For many years, some provincial and territorial health authorities have invoked provincial data protection laws as barriers to sharing certain health data. This has contributed in part to the poor state of national health data, as seen during the COVID-19 pandemic. In response to questions about privacy issues during the pandemic, the Privacy Commissioner of Canada stated that, "During a public health crisis, privacy laws still apply, but they are not a barrier to appropriate information sharing."

Discussions about data sharing must be broadened to include priority needs for national data. To make measurable progress, Statistics Canada must have federal government support to play a leadership role and build on the new avenues of government collaboration created in response to the pandemic.

Many provinces and territories are reviewing their data protection laws to take into account new technologies for collecting and sharing personal information. Statistics Canada must work with them to ensure that revisions to data protection laws recognize the importance of official national statistics and that there are no legislative ambiguities with regard to Statistics Canada's legal authority to collect data from their jurisdictions.

4. Microdata access

The need for a modern infrastructure to access Statistics Canada's microdata, including secure remote access, has never been greater, as duly authorized researchers look to inform governments and Canadians on issues such as the social and economic impacts of the COVID-19 pandemic.

To meet the specific information needs of Canadians, the agency has introduced web portals to transform complex data into easy-to-understand visuals. The "COVID-19: A data perspective" portal is a good example. Created in response to the pandemic, it provides governments and Canadians access in one place to a wide array of relevant health, social and economic statistical information with tables, infographics, interactive maps, data visualizations and statistical analyses.

For many years, Statistics Canada has provided students and researchers with a range of ways to access data, with strict security restrictions for access to confidential microdata. Non-confidential Public Use Microdata Files are used extensively by postsecondary students through the Data Liberation Initiative. Students and duly authorized researchers can also use the online Real Time Remote Access system available for most social surveys. The output is largely descriptive and useful for general findings and preliminary research activities. It presently requires knowledge of SAS programming, which limits access to the data for some researchers.

Confidential microdata can be accessed through Statistics Canada's Research Data Centres (RDCs). These are secure facilities located on university campuses that offer access to Statistics Canada's more detailed—and therefore most analytically powerful—data holdings. They include detailed microdata from Statistics Canada's household surveys, census data and an increasing number of administrative datasets such as the cancer registry. Since the opening of the first RDC in 2000, the Canadian Research Data Centre Network has expanded and now includes over 30 secure data laboratories in which over 2,000 duly authorized researchers across Canada conduct advanced quantitative social science and health research.

Secure access to anonymized business and economic microdata is provided to government researchers through the Canadian Centre for Data Development and Economic Research Program at Statistics Canada headquarters in Ottawa.

4.1 Modernizing the Microdata Access Program

The RDCs, with their physical data laboratories, have become outdated and are no longer able to adequately support Canada's research and analysis needs. The COVID-19 pandemic has made clear the need for Statistics Canada to transition from the RDCs' physical infrastructure to new distributed modes of access. Once a world leader, Statistics Canada has fallen behind. The agency is currently modernizing its microdata access infrastructure with more sophisticated datasets, secure remote access technologies and expansion of secure access to anonymized business data in the RDCs. This is a long-awaited initiative that will greatly improve the quality and depth of research and analysis in Canada across all sectors. However, the timeline of well into 2022 for full implementation of secure remote microdata access is too long and should be accelerated.

With the wealth of statistical information, data expertise and technical savvy found in public, academic and private institutions across the country, there are tremendous opportunities to transform how data are developed and used in Canada. Researchers in Canada currently have secure access to a vast amount of data from a wide range of sources, including from government administrative data sources, universities and the private sector. The explosion of big data and data analytics is also generating a growing pool of talented data scientists. A modernized research data access program will greatly facilitate and support the statistical research required to address the increasingly complex and multifaceted issues faced by Canadians.

Statistics Canada must also modernize and streamline its administrative processes, such as the authentication of researchers. Statistics Canada should look to international models such as that used in the Netherlands, where the authentication process includes a class of "duly authorized researchers" who may be required to take training on privacy and security and must be affiliated with a government department, university or institute for scientific research. As in Canada, research must be for statistical purposes as opposed to private commercial research.

There is also interest from national and regional Indigenous organizations in developing and implementing information and research data centres in their communities. This would provide Indigenous peoples with better access to Statistics Canada microdata and other Indigenous microdata on the health, social and economic well-being of Indigenous communities. Analytic capacity would also be expanded to include the use of new data, analytic techniques and technology to support research, planning and development and to build statistical capacity to assist vulnerable Indigenous communities.

Endnotes

1. "Factors associated with COVID-19-related death using OpenSAFELY," Nature, July 2020.
2. The Employment Equity Act defines members of visible minorities as "persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour." Many data users use visible minority as a proxy for race.
3. "Commissioner publishes framework to assessprivacy-impactful initiatives inresponse to COVID-19."
4. Statistics Netherlands, "Microdata: Conducting your own research."

Under the authority of the Statistics Act, Statistics Canada is hereby requesting the following information, which will be used solely for statistical and research purposes and will be protected in accordance with the provisions of the Statistics Act and any other applicable law. This is a mandatory request for data.

• Employment and remuneration
  • Gender of federally appointed judges
  • List of employees and work email addresses for Government employees working in Nunavut
• Revenue and expenditures
  • Data on support for businesses through the Business Innovation and Growth Support (BIGS) programs
• Other content related to Government
  • Data on capital projects and asset management

Employment and remuneration

Gender of federally appointed judges

What information is being requested?

Statistics Canada is requesting a list of federally appointed judges, including the following variables: first and last name (or a unique identifier), gender (or sex), type of court, location (of court), and appointment start date and appointment end date (or removal).

What personal information is included in this request?

This request contains personal information such as the first and last name (or unique personal identifier) and gender (or sex) of federally appointed judges. The personal identifiers are required to perform data processing activities only, such as removing duplicates from files, imputing missing values (if necessary) and tracking records over time. Only aggregate statistics will be disseminated.

What years of data will be requested?

Annual data as of 2018 is being requested.

From whom will the information be requested?

This information is being requested from the Office of the Commissioner for Federal Judicial Affairs Canada

Why is this information being requested?

Introduced in Budget 2018, the Gender Results Framework (GRF) represents the Government of Canada's vision for gender equality. The GRF contains 43 indicators designed to track how Canada is currently performing; define what is needed to achieve greater equality and determine how progress will be measured going forward.

Greater gender balance and diversity in the judicial system will enable the system to be more responsive to the differing needs and situations of all Canadians.

Statistics Canada is requesting this information to create and publish statistics on the gender distribution of federally appointed judges. These statistics will be used by policy makers and researchers to track the gender distribution of federally appointed judges over time.

Statistics Canada may also use the information for other statistical and research purposes.

Why were these organizations selected as data providers?

The Office of the Commissioner for Federal Judicial Affairs Canada (FJA) is responsible for collecting demographic information on judicial applicants and appointees based on voluntary disclosure by candidates through self-identification.

When will this information be requested?

December 2020 and onward (yearly)

What Statistics Canada programs will primarily use these data?

Gender Statistics Program

When was this request published?

December 3, 2020

List of employees and work email addresses for Government employees working in Nunavut

What information is being requested?

Statistics Canada is requesting employee information for government employees working in Nunavut to create the Nunavut Government Employee Survey (NGES) survey frame. The requested information includes employee lists containing their Personal Record Identifier (PRI), full name, sex, date of birth, department name, and work email addresses.

What personal information is included in this request?

This request contains personal information such as the employee's PRI, first name, last name, sex, date of birth, work email address, and department name.

Personal identifiers, including PRI, first name, last name, sex, date of birth and department name, are necessary to update the survey frame and facilitate data linkages for statistical purposes only. The data will be linked to federal employee payroll files, which are currently used by Statistics Canada, to create the NGES survey frame. Once the data are linked, all direct identifiers - such as names, addresses, telephone numbers, or any other identifying information - will be removed and the data will be anonymized.

What years of data will be requested?

The NGES is conducted every five years.

Data will be collected starting with the 2021 reference year.

From whom will the information be requested?

This information will be requested from government departments with employees located in Nunavut.

Why is this information being requested?

Article 23 of the Nunavut Agreement aims to increase Inuit participation in government employment to a representative level through an ongoing Nunavut Inuit Labour Force Analysis (NILFA). By strengthening Inuit representation in public institutions in Nunavut, the NILFA is supporting Inuit self-determination. As a signatory to the Nunavut Agreement, the NILFA is a federal government obligation.

Statistics Canada is requesting this data to verify and update employee payroll data (already held by Statistics Canada's Centre for Labour Market Information Division) which is used to create the Government of Canada component of the NGES frame. Work email address will also be used to send the electronic questionnaire link to Government employees in Nunavut.

As part of the NILFA, the NGES was designed to collect data on Inuit enrolled under the Nunavut Agreement regarding their availability, interest and level of preparedness for government employment. This data informs the development of Inuit Employment Plans and Pre-Employment Training Programs within both the Government of Nunavut, as well as the Government of Canada within Nunavut.

Nunavut Tunngavik Incorporated, which represents the interests of Inuit enrolled under the Nunavut Agreement, and a member of the NILFA Technical Working Group, supports this data acquisition. Without the acquisition of these data, Statistics Canada would not be able to ensure all individuals in the NGES target population are identified on the survey frame. Furthermore, the agency would not be able to send out the electronic questionnaire link to the survey sample of Government employees in Nunavut, ultimately excluding them from the survey.

Statistics Canada may also use the information for other statistical and research purposes.

Why were these organizations selected as data providers?

These organizations meet the definitions in Article 23 of the Nunavut Agreement because they are Federal departments that have offices in Nunavut, and Treasury Board is their employer.

When will this information be requested?

Starting in September 2020

What Statistics Canada programs will primarily use these data?

The Nunavut Government Employee Survey (NGES)

When was this request published?

February 10, 2025

Summary of Changes

Language has been updated to make it clear that this is an ongoing request as the NGES occurs every five years.

Revenue and expenditures

Data on support for businesses through the Business Innovation and Growth Support (BIGS) programs

What information is being requested?

Information on the support granted through the governmental BIGS programs. Such information includes the value of support, the transaction dates, the types of support, the names of the beneficiary enterprises, their business number, their contact information, the project numbers, the effective dates of the agreements, and the amounts of the agreements.

What personal information is included in this request?

This request does not contain any personal information.

What years of data will be requested?

Open-ended, data beginning with the 2007 reference year.

From whom will the information be requested?

From all federal departments or agencies that have Business Innovation and Growth Support (BIGS) programs.

Why is this information being requested?

Statistics Canada requires this information to produce and publish statistics on government programs that support business growth and innovation. These statistics will help Statistics Canada, together with the Treasury Board Secretariat, identify the impacts of business innovation and growth support programs. The data will also be used by policy makers, researchers and stakeholders to assess and measure the performance of these programs.

Statistics Canada may also use the information for other statistical and research purposes.

Why were these organizations selected as data providers?

These organizations collect information on the business innovation and growth programs they administer and keep that information up to date.

When will this information be requested?

Starting in April 2021

What Statistics Canada programs will primarily use these data?

Business Innovation and Growth Support (BIGS)

When was this request published?

March 26, 2021

Other content related to Government

Data on capital projects and asset management

What information is being requested?

Statistics Canada is requesting additional (new) data tables from the Integrated Capital Management System (ICMS) which is a web-based application that manages key ISC-funded First Nations community assets and all First Nation infrastructure investments projects. The ICMS includes organizational, funding, land, and financial data integrated for capital planning and oversight.

In addition to the information already held, Statistics Canada is formally requesting additional data tables on grants and contributions—including agreements, payments, and reports with Indigenous partners.

What personal information is included in this request?

No personal information is included in this request.

What years of data will be requested?

Annual data as of 2018, ongoing.

From whom will the information be requested?

Indigenous Services Canada

Why is this information being requested?

The information will be used by Statistics Canada solely for the purposes of the Act, that is, for statistical and research purposes only and not for administrative or regulatory purposes.

The Integrated Capital Management System (ICMS) data is being requested to support research projects aimed at validating findings from Statistics Canada's infrastructure surveys; supplementing survey results in reports; developing projections of on-reserve housing; testing methodologies—such as comparing infrastructure availability on and off reserve; contributing to the development of administrative data related to buildings; and identifying infrastructure gaps affecting Indigenous peoples.

Why were these organizations selected as data providers?

Indigenous Services Canada is the only organization that holds this data.

When will this information be requested?

August 2025

What Statistics Canada programs will primarily use these data?

Programs that have used the ICMS data include Demography, for projecting on-reserve housing; Canada's Core Infrastructure Survey, for validating findings; the Centre for Special Business Projects, for testing methodologies to compare infrastructure availability on and off reserve; and the Statistical Business Register, for developing an administrative dataset on buildings.

When was this request published?

September 17, 2025

Summaries of disseminated products

Dissemination Plan

CHMS Content summary for cycles 1 to 8

• The content summary document is divided into separate tables which list all of the content topics in the survey by age group of respondent. There are tables on the household questionnaire and specimen collection, mobile examination centre (MEC) physical measures and specimen collection, MEC questionnaire, laboratory biospecimen, laboratory indoor air sample tests and laboratory tap water sample tests. The laboratory tables also provide information on analytical ranges and conversion factors.

Data User Guide – Cycles 1 to 6

• The user guide includes information on survey content, sample design, data collection, data processing, weighting, data quality, file usage, as well as guidelines for tabulation, analysis and release.
• Cycle 6 release to start October 2020

Derived Variables (DVs) documentation – Cycles 1 to 6

• There are separate DV documents for the following types of DVs: household and mobile examination centre (MEC), medication, activity monitor, non-environmental laboratory measures, fluoride and volatile organic compounds, and other environmental laboratory measures.
• Cycle 6 release to start October 2020

Data Dictionaries – Cycles 1 to 6

• There are separate data dictionaries for the following data files: household full sample, mobile examination centre full sample, medication full sample, hearing full sample, activity monitor full sample, activity monitor subsample, indoor air subsample – household level, indoor air subsample – person level, fasting blood subsample, red blood cell fatty acids subsample, fluoride household level subsample – in tap water, VOC household level subsample – in tap water, fluoride person level subsample – in urine and tap water, VOC person level subsample – in blood and tap water, non-environmental lab data full sample, environment lab blood and urine full sample, acrylamide (environmental blood subsample), methyl mercury (environmental blood subsample), NNAL and glucoronides (environmental urine subsample), and environment urine main subsample. Note: not all subsamples are available in every cycle
• Cycle 6 release to start October 2020

Supporting documentation for the climate and air quality file – Cycle 3
Sampling Documentation – Cycle 1 to 5
Presentations on using CHMS data – Cycles 1 to 5

• CHMS Data User Workshop

Instructions for Combining Multiple Cycles of Canadian Health Measures Survey (CHMS) Data
Postal Code File – justification needed

• Contains postal code information for every respondent in the survey.

Relationship File – justification needed

• Identifies the relationship between 2 respondents in the same household (adult/child)

Relationship File – Feasibility Report

• Using the relationship files and paired respondent data in the CHMS: Feasibility study – an update

CHMS Errata – Cycles 1 to 6

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For more information or to obtain copies of the documents in the list above, please contact Statistics Canada's Statistical Information Service (toll-free 1-800-263-1136; 514-283-8300; infostats@statcan.gc.ca).

1.0 Description

The Canadian Perspectives Survey Series (CPSS) is a set of short, online surveys beginning in March 2020 that will be used to collect information on the knowledge and behaviours of residents of the 10 Canadian provinces. All surveys in the series will be asked of Statistics Canada's probability panel. The probability panel for the CPSS is a new pilot project initiated in 2019. An important goal of the CPSS is to directly collect data from Canadians in a timely manner in order to inform policy makers and be responsive to emerging data needs. The CPSS is designed to produce data at a national level (excluding the territories).

The survey program is sponsored by Statistics Canada. Each survey in the CPSS is cross sectional. Participating in the probability panel and the subsequent surveys of the CPSS is voluntary.

The fifth survey of the CPSS is CPSS5 – Technology Use and Cyber Security during the Pandemic. It was administered from September 14, 2020 until September 20, 2020.

Any questions about the survey, the survey series, the data or its use should be directed to:

Statistics Canada

Client Services
Centre for Social Data Integration and Development
Telephone: 613-951-3321 or call toll-free 1-800-461-9050
Fax: 613-951-4527
E-mail: statcan.csdidclientservice-ciddsservicealaclientele.statcan@statcan.gc.ca

2.0 Survey methodology

Target and survey population

The target population for the Canadian Perspectives Survey Series (CPSS) is residents of the 10 Canadian provinces 15 years of age or older.

The frame for surveys of the CPSS is Statistics Canada's pilot probability panel. The probability panel was created by randomly selecting a subset of the Labour Force Survey (LFS) respondents. Therefore the survey population is that of the LFS, with the exception that full-time members of the Canadian Armed Forces are included. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; the institutionalized population, and households in extremely remote areas with very low population density. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over.

The LFS sample is drawn from an area frame and is based on a stratified, multi-stage design that uses probability sampling. The LFS uses a rotating panel sample design. In the provinces, selected dwellings remain in the LFS sample for six consecutive months. Each month about one-sixth of the LFS sampled dwellings are in their first month of the survey, one-sixth are in their second month of the survey, and so on. These six independent samples are called rotation groups.

For the probability panel used for the CPSS, four rotation groups from the LFS were used from the provinces: the rotation groups answering the LFS for the last time in April, May, June and July of 2019. From these households, one person aged 15+ was selected at random to participate in the CPSS - Sign-Up. These individuals were invited to Sign-Up for the CPSS. Those agreeing to join the CPSS were asked to provide an email address. Participants from the Sign-Up that provided valid email addresses formed the probability panel. The participation rate for the panel was approximately 23%. The survey population for all surveys of the CPSS is the probability panel participants. Participants of the panel are 15 years or older as of July 31, 2019.

Sample Design and Size

The sample design for surveys of the CPSS is based on the sample design of the CPSS – Sign-Up, the method used to create the pilot probability panel. The raw sample for the CPSS – Sign-Up had 31,896 randomly selected people aged 15+ from responding LFS households completing their last interview of the LFS in April to July of 2019. Of these people, 31,626 were in-scope at the time of collection for the CPSS - Sign-Up in January to March 2020. Of people agreeing to participate in the CPSS, that is, those joining the panel, 7,242 had a valid email address. All panel participants are invited to complete the surveys of the CPSS.

Stages of the Sample	n
Raw sample for the CPSS – Sign-Up	31,896
In-scope Units from the CPSS – Sign-Up	31,628
Panelists for the CPSS (with valid email addresses)	7,242
Raw sample for surveys of the CPSS	7,242

3.0 Data collection

CPSS – Sign-Up

The CPSS- Sign-Up survey used to create Statistics Canada's probability panel was conducted from January 15th, 2020 until March 15th, 2020. Initial contact was made through a mailed letter to the selected sample. The letter explained the purpose of the CPSS and invited respondents to go online, using their Secure Access Code to complete the Sign-Up form. Respondents opting out of joining the panel were asked their main reason for not participating. Those joining the panel were asked to verify basic demographic information and to provide a valid email address. Nonresponse follow-up for the CPSS-Sign-Up had a mixed mode approach. Additional mailed reminders were sent to encourage sampled people to respond. As well, email reminders (where an email address was available) and Computer Assisted Telephone Interview (CATI) nonresponse follow-up was conducted.

The application included a standard set of response codes to identify all possible outcomes. The application was tested prior to use to ensure that only valid question responses could be entered and that all question flows would be correctly followed. These measures ensured that the response data were already "clean" at the end of the collection process.

Interviewers followed a standard approach used for many StatCan surveys in order to introduce the agency. Selected persons were told that their participation in the survey was voluntary, and that their information would remain strictly confidential.

CPSS5 – Technology Use and Cyber Security during the Pandemic

All participants of the pilot panel for the CPSS, minus those who opted out after previous iterations of CPSS, were sent an email invitation with a link to the CPSS5 and a Secure Access Code to complete the survey online. Collection for the survey began on September 14th, 2020. Reminder emails were sent on September 15, September 17 and September 19. On September 17 in the afternoon, SMS reminders were sent (where a phone number was available) to sampled people aged 18 to 24 to encourage them to respond. The application remained open until September 20, 2020.

3.1 Disclosure control

Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

4.0 Data quality

Survey errors come from a variety of different sources. They can be classified into two main categories: non-sampling errors and sampling errors.

4.1 Non-sampling errors

Non-sampling errors can be defined as errors arising during the course of virtually all survey activities, apart from sampling. They are present in both sample surveys and censuses (unlike sampling error, which is only present in sample surveys). Non-sampling errors arise primarily from the following sources: nonresponse, coverage, measurement and processing.

4.1.1 Nonresponse

Nonresponse errors result from a failure to collect complete information on all units in the selected sample.

Nonresponse produces errors in the survey estimates in two ways. Firstly, non-respondents often have different characteristics from respondents, which can result in biased survey estimates if nonresponse bias is not fully corrected through weighting. Secondly, it reduces the effective size of the sample, since fewer units than expected answered the survey. As a result, the sampling variance increases and the precision of the estimate decreases. The response rate is calculated as follows:

[ Responding units / (Selected units – out-of-scope units) ] x 100%

The following table summarizes the response rates experienced for the CPSS5 – Technology Use and Cyber Security during the Pandemic. Response rates are broken down into two stages. Table 4.1.1a shows the take-up rates to the panel in the CPSS- Sign-Up and Table 4.1.1b shows the collection response rates for the survey CPSS5 – Technology Use and Cyber Security during the Pandemic.

Table 4.1.1a Participation in the Pilot Probability Panel for the CPSS – Sign-Up

	Stages of the Sample for the CPSS – Sign-Up
	Raw sample for the CPSS – Sign-Up	In-scope Units from the CPSS – Sign-Up	Panelists for the CPSS (with valid email addresses)	Participation Rate for the Panel for CPSS
n	31,896	31,628	7,242	22.9%

Table 4.1.1b Response Rates to the CPSS5 – Technology Use and Cyber Security during the Pandemic

	Stages of the Sample for the CPSS5 – Technology Use and Cyber Security during the Pandemic
	Panelists for the CPSS (with valid email addresses)	Respondents of CPSS5 – Technology Use and Cyber Security during the Pandemic	Collection Response Rate for CPSS5 – Technology Use and Cyber Security during the Pandemic	Cumulative Response Rate
n	7,242	3,961	54.7%	12.5%

As shown in Table 4.1.1b, the collection response rate for the CPSS5 – Technology Use and Cyber Security during the Pandemic is 54.7%. However, when nonparticipation in the panel is factored in, the cumulative response rate to the survey is 12.5%. This cumulative response rate is lower than the typical response rates observed in social surveys conducted at Statistics Canada. This is due to the two stages of nonresponse (or participation) and other factors such as the single mode used for surveys of the CPSS (emailed survey invitations with a link to the survey for online self-completion), respondent fatigue from prior LFS response, the inability of the offline population to participate, etc.

Given the additional nonresponse experienced in the CPSS5 – Technology Use and Cyber Security during the Pandemic there is an increased risk of bias due to respondents being different than nonrespondents. For this reason, a small bias study was conducted. Please see Section 6.0 for the results of this validation.

4.1.2 Coverage errors

Coverage errors consist of omissions, erroneous inclusions, duplications and misclassifications of units in the survey frame. Since they affect every estimate produced by the survey, they are one of the most important types of error; in the case of a census they may be the main source of error. Coverage errors may cause a bias in the estimates and the effect can vary for different sub-groups of the population. This is a very difficult error to measure or quantify accurately.

For the CPSS, the population covered are those aged 15+ as of July 31, 2019. Since collection of the CPSS5 – Technology Use and Cyber Security during the Pandemic was conducted from September 14th-20th, 2020, there is an undercoverage of residents of the 10 provinces that turned 15 since July 31, 2019. There is also undercoverage of those without internet access. This undercoverage is greater amongst those age 65 years and older.

4.1.3 Measurement errors

Measurement errors (sometimes referred to as response errors) occur when the response provided differs from the real value; such errors may be attributable to the respondent, the questionnaire, the collection method or the respondent's record-keeping system. Such errors may be random or they may result in a systematic bias if they are not random. It is very costly to accurately measure the level of response error and very few surveys conduct a post-survey evaluation.

4.1.4 Processing errors

Processing errors are the errors associated with activities conducted once survey responses have been received. It includes all data handling activities after collection and prior to estimation. Like all other errors, they can be random in nature, and inflate the variance of the survey’s estimates, or systematic, and introduce bias. It is difficult to obtain direct measures of processing errors and their impact on data quality especially since they are mixed in with other types of errors (nonresponse, measurement and coverage).

4.2 Sampling errors

Sampling errors are defined as the errors that result from estimating a population characteristic by measuring a portion of the population rather than the entire population. For probability sample surveys, methods exist to calculate sampling error. These methods derive directly from the sample design and method of estimation used by the survey.

The most commonly used measure to quantify sampling error is sampling variance. Sampling variance measures the extent to which the estimate of a characteristic from different possible samples of the same size and the same design differ from one another. For sample designs that use probability sampling, the magnitude of an estimate's sampling variance can be estimated.

Factors affecting the magnitude of the sampling variance for a given sample size include:

1. The variability of the characteristic of interest in the population: the more variable the characteristic in the population, the larger the sampling variance.
2. The size of the population: in general, the size of the population only has an impact on the sampling variance for small to moderate sized populations.
3. The response rate: the sampling variance increases as the sample size decreases. Since non-respondents effectively decrease the size of the sample, nonresponse increases the sampling variance.
4. The sample design and method of estimation: some sample designs are more efficient than others in the sense that, for the same sample size and method of estimation, one design can lead to smaller sampling variance than another.

The standard error of an estimator is the square root of its sampling variance. This measure is easier to interpret since it provides an indication of sampling error using the same scale as the estimate whereas the variance is based on squared differences.

The coefficient of variation (CV) is a relative measure of the sampling error. It is defined as the estimate of the standard error divided by the estimate itself, usually expressed as a percentage (10% instead of 0.1). It is very useful for measuring and comparing the sampling error of quantitative variables with large positive values. However, it is not recommended for estimates such as proportions, estimates of change or differences, and variables that can have negative values.

It is considered a best practice at Statistics Canada to report the sampling error of an estimate through its 95% confidence interval. The 95% confidence interval of an estimate means that if the survey were repeated over and over again, then 95% of the time (or 19 times out of 20), the confidence interval would cover the true population value.

5.0 Weighting

The principle behind estimation in a probability sample such as those of the CPSS, is that each person in the sample "represents", besides himself or herself, several other persons not in the sample. For example, in a simple random 2% sample of the population, each person in the sample represents 50 persons in the population. In the terminology used here, it can be said that each person has a weight of 50.

The weighting phase is a step that calculates, for each person, his or her associated sampling weight. This weight appears on the microdata file, and must be used to derive estimates representative of the target population from the survey. For example, if the number of individuals who smoke daily is to be estimated, it is done by selecting the records referring to those individuals in the sample having that characteristic and summing the weights entered on those records. The weighting phase is a step which calculates, for each record, what this number is. This section provides the details of the method used to calculate sampling weights for the CPSS5 – Technology Use and Cyber Security during the Pandemic.

The weighting of the sample for the CPSS5 – Technology Use and Cyber Security during the Pandemic has multiple stages to reflect the stages of sampling, participation and response to get the final set of respondents. The following sections cover the weighting steps to first create the panel weights, then the weighting steps to create the survey weights for CPSS5 – Technology Use and Cyber Security during the Pandemic.

5.1 Creating the Panel Weights

Four consecutive rotate-out samples of households from the LFS were the starting point to form the panel sample of the CPSS. Since households selected from the LFS samples are the starting point, the household weights from the LFS are the first step to calculating the panel weights.

5.1.1 Household weights

Calculation of the Household Design Weights – HHLD_W0, HHLD_W1

The initial panel weights are the LFS subweights (SUBWT). These are the LFS design weights adjusted for nonresponse but not yet calibrated to population control totals. These weights form the household design weight for the panel survey (HHLD_W0).

Since only four rotate-outs were used, instead of the six used in a complete LFS sample, these weights were adjusted by a factor of 6/4 to be representative. The weights after this adjustment were called HHLD_W1.

Calibration of the Household Weights – HHLD_W2

Calibration is a step to ensure that the sum of weights within a certain domain match projected demographic totals. The SUBWT from the LFS are not calibrated, thus HHLD_W1 are also not calibrated. The next step is to make sure the household weights add up to the control totals by household size. Calibration was performed on HHLD_W1 to match control totals by province and household size using the size groupings of 1, 2, or 3+.

5.1.2 Person Panel weights

Calculate Person Design Weights – PERS_W0

One person aged 15 or older per household was selected for the CPSS – Sign-Up, the survey used to create the probability panel. The design person weight is obtained by multiplying HHLD_W2 by the number of eligible people in the dwelling (i.e. number of people aged 15 years and over).

Removal of Out of Scope Units – PERS_W1

Some units were identified as being out-of-scope during the CPSS – Sign-Up. These units were given a weight of PERS_W1 = 0. For all other units, PERS_W1 = PERS_W0. Persons with a weight of 0 are subsequently removed from future weight adjustments.

Nonresponse/Nonparticipation Adjustment – PERS_W2

During collection of the CPSS – Sign-Up, a certain proportion of sampled units inevitably resulted in nonresponse or nonparticipation in the panel. Weights of the nonresponding/nonparticipating units were redistributed to participating units. Units that did not participate in the panel had their weights redistributed to the participating units with similar characteristics within response homogeneity groups (RHGs).

Many variables from the LFS were available to build the RHG (such as employment status, education level, household composition) as well as information from the LFS collection process itself. The model was specified by province, as the variables chosen in the model could differ from one province to the other.

The following variables were kept in the final logistic regression model: education_lvl (education level variable with 10 categories), nameissueflag (a flag created to identify respondents not providing a valid name), elg_hhldsize (number of eligible people for selection in the household), age_grp (age group of the selected person), sex, kidsinhhld (an indicator to flag whether or not children are present in the household), marstat (marital status with 6 categories), cntrybth (an indicator if the respondent was born in Canada or not), lfsstat (labour force status of respondent with 3 categories), nocs1 (the first digit of National Occupational Classification code of the respondent if employed, with 10 categories), and dwelrent (an indicator of whether the respondent dwelling is owned or rented). RHGs were formed within provinces. An adjustment factor was calculated within each response group as follows:

$\frac{\text{Sum of weights of respondents and nonrespondents}}{\text{Sum of weights of respondents}}$

The weights of the respondents were multiplied by this factor to produce the PERS_W2 weights, adjusted for panel nonparticipation. The nonparticipating units were dropped from the panel.

5.2 Creating the CPSS5 weights

Surveys of the CPSS start with the sample created from the panel participants. The panel is comprised of 7,242 individuals, each with the nonresponse adjusted weight of PERS_W2.

Calculation of the Design Weights – WT_DSGN

The design weight is the person weight adjusted for nonresponse calculated for the panel participants (PERS_W2). No out-of-scope units were identified during the survey collection of CPSS5 – Technology Use and Cyber Security during the Pandemic. Since all units were in-scope, WT_DSGN =PERS_W2 and no units were dropped.

Nonresponse Adjustment – WT_NRA

Given that the sample for CPSS was formed by people having agreed to participate in a web panel, the response rates to the survey were relatively high. Additionally, the panel was designed to produce estimates at a national level, so sample sizes by province were not overly large. As a result, nonresponse was fairly uniform in many provinces. The RHGs were formed by some combination of age group, sex, education level, rental status, LFS status, whether or not children are present in the household, eligible household size, and the first digit of the National Occupational Classification (NOC) code for respondents who are employed. An adjustment factor was calculated within each response group as follows:

$\frac{\text{Sum of weights of respondents and nonrespondents}}{\text{Sum of weights of respondents}}$

The weights of the respondents were multiplied by this factor to produce the WT_NRA weights, adjusted for survey response. The nonresponding units were dropped from the survey.

Calibration of Person-Level Weights – WT_FINL

Control totals were computed using LFS demography projection data. During calibration, an adjustment factor is calculated and applied to the survey weights. This adjustment is made such that the weighted sums match the control totals. Most social surveys calibrate the person level weights to control totals by sex, age group and province. For CPSS5, calibration by province was not possible, since there were very few respondents in some categories in the Atlantic and Prairie Provinces. In addition, there were very small counts for male respondents aged 15 to 24 in the Atlantic Provinces. For this reason, the control totals used for CPSS5 – Technology Use and Cyber Security during the Pandemic were by age group and sex by geographic region, where the youngest age group for males in the Atlantic region, collapsed with the second youngest age group. The next section will include recommendations for analysis by geographic region and age group.

5.3  Bootstrap Weights

Bootstrap weights were created for the panel and the CPSS5 – Technology Use and Cyber Security during the Pandemic survey respondents. The LFS bootstrap weights were the initial weights and all weight adjustments applied to the survey weights were also applied to the bootstrap weights.

6.0 Quality of the CPSS and Survey Verifications

The probability panel created for the CPSS is a pilot project started in 2019 by Statistics Canada. While the panel offers the ability to collect data quickly, by leveraging a set of respondents that have previously agreed to participate in multiple short online surveys, and for whom an email address is available to expedite survey collection, some aspects of the CPSS design put the resulting data at a greater risk of bias. The participation rate for the panel is lower than typically experienced in social surveys conducted by Statistics Canada which increases the potential nonresponse bias. Furthermore, since the surveys of the CPSS are all self-complete online surveys, people without internet access do not have the means to participate in the CPSS and therefore are not covered.

When the unweighted panel was compared to the original sample targeted to join the panel, in particular there was an underrepresentation of those aged 15-24, those aged 65 and older, and those with less than a high school degree. These differences were expected due to the nature of the panel and the experience of international examples of probability panels. Using LFS responding households as the frame for the panel was by design in order to leverage the available LFS information to correct for the underrepresentation and overrepresentation experienced in the panel. The nonresponse adjustments performed in the weighting adjustments of the panel and the survey respondents utilised the available information to ensure the weights of nonresponding/nonparticipating units went to similar responding units. Furthermore, calibration to age and sex totals helped to adjust for the underrepresentation by age group.

Table 6.1 shows the slippage rates by certain domains post-calibration of CPSS5 – Technology Use and Cyber Security during the Pandemic. The slippage rate is calculated by comparing the sum of weights in the domain to that of the control total based off of demographic projections. A positive slippage rate means the sample has an over-count for that domain. A negative slippage rate means the survey has an under-count for that domain. Based on the results shown in Tables 6.1 and 6.2, it is recommended to only use the data at the geographical levels and age groups where there is no slippage. That is nationally, by geographic region (Maritime Provinces, Quebec, Ontario, Prairie Provinces, and British Columbia), and by the four oldest age groups.

Table 6.1 Slippage rates by geographic region

Area	Domain	n	Slippage Rate
Geography	CanadaFootnote 1	3,961	0%
	Newfoundland and Labrador	118	-7.3%
	Prince Edward Island	82	8.7%
	Nova Scotia	234	3.0%
	New Brunswick	174	-0.6%
	Quebec	664	0%
	Ontario	1,145	0%
	Manitoba	314	-3.7%
	Saskatchewan	273	7.4%
	Alberta	423	-0.8%
	British Columbia	534	0%
Footnote 1 Based on the 10 provinces; the territories are excluded Return to footnote 1 referrer

Table 6.2 Slippage rates by age group

Area	Domain	n	Slippage Rate
Age group	15-24	195	3.2%
	25-34	446	-2.7%
	35-44	643	0%
	45-54	624	0%
	55-64	925	0%
	65+	1,128	0%

After the collection of CPSS5 – Technology Use and Cyber Security during the Pandemic, a small study was conducted to assess the potential bias due to the lower response rates and the undercoverage of the population not online. The LFS data was used to produce weighted estimates for the in-scope sample targeted to join the probability panel (using the weights and sample from PERS_W1). The same data was used to produce weighted estimates based on the set of respondents from the CPSS5 survey and the weights WT_FINL. The two set of estimates were compared and are shown in Table 6.3. The significant differences are highlighted.

Table 6.3 Changes in estimates due to nonparticipation in the CPSS and the COVID-19 survey

Subject	Recoded variables from 2019 LFS	Estimate for in-scope population (n=31,628)	Estimate for W5 of CPSS (n=3,961)	% Point Difference
Education	Less than High SchoolTable 6.3 Footnote 11	15.5%	12.5%	2.9%
	High School no higher certification	25.9%	25.4%	0.5%
	Post-secondary certificationTable 6.3 Footnote 11	58.6%	62.0%	-3.4%
Labour Force Status	Employed	61.2%	62.7%	-1.5%
	Unemployed	3.4%	3.3%	0.1%
	Not in Labour Force	35.3%	34.0%	1.3%
Country of Birth	CanadaTable 6.3 Footnote 11	71.7%	76.2%	-4.5%
Marital Status	Married/Common-law	60.4%	61.2%	-0.8%
	Divorced, separated, widowed	12.8%	11.4%	1.3%
	Single, never married	26.9%	27.4%	-0.5%
Kids	Presence of childrenTable 6.3 Footnote 11	31.7%	34.6%	-2.9%
Household Size	Single person	14.4%	14.6%	-0.2%
	Two person HH	34.8%	36.4%	-1.6%
	Three or more people	18.4%	18.1%	0.2%
Eligible people for panel	One eligible person aged 15+	15.9%	16.1%	-0.2%
	Two eligible peopleTable 6.3 Footnote 11	49.3%	52.3%	-3.0%
	Three or more eligible peopleTable 6.3 Footnote 11	34.8%	31.7%	3.2%
Dwelling	Apartment	12.1%	12.0%	0.1%
	Rented	24.8%	24.9%	-0.1%
Occupational Code	Management occupations (NOC0)	6.0%	6.3%	-0.2%
	Business Finance and Administration (NOC1)	10.7%	11.2%	-0.5%
	Natural and Applied Sciences and related occupations (NOC2)Table 6.3 Footnote 11	5.2%	6.5%	-1.3%
	Health Occupations (NOC3)	4.7%	4.4%	0.4%
	Occupations in education, law and social, community and government services (NOC4)	7.6%	8.0%	-0.4%
	Occupations in art, culture, recreation and sports (NOC5)	2.5%	3.1%	-0.6%
	Sales and service occupations (NOC6)	16.6%	17.5%	-0.9%
	Trades, transport and equipment operators and related occupations (NOC7)	9.6%	9.3%	0.3%
	Natural resources, agriculture and related production occupations (NOC8)	1.6%	1.3%	0.4%
	Occupations in manufacturing and utilities (NOC9)	2.9%	2.3%	0.6%
Footnote 1 Estimates that are significantly different at α= 5%. Return to tablenote 1 referrer

While many estimates do not show significant change, the significant differences show that some bias remains in the CPSS5 – Technology Use and Cyber Security during the Pandemic. There is an underrepresentation of those where there were three or more eligible participants for the panel, and of people with less than a high school diploma. And there is an overrepresentation of those with a post-secondary certification, of people born in Canada, of people working in NOC2, of households where there were two eligible participants for the panel, and of households with children. These small differences should be kept in mind when using the CPSS5 – Technology Use and Cyber Security during the Pandemic survey data. Investigation about differences in estimates is ongoing, and as evidence of differences are identified, strategies are being tested to improve the methodology from one wave of the survey to the next.

Release date: November 5, 2020 Updated: September 21, 2021

The purpose of this notice is to advise all stakeholders and users of the National Occupational Classification (NOC) that the new 2021 classification's numbering system will be significantly modified as part of a major structural revision. The NOC 2021 is scheduled to be released in early 2021.

• Background
• Revising the NOC
• Impact on users
• Schedule A – NOC 2016
• Schedule B – NOC 2021

Background

Every ten years, the National Occupational Classification (NOC) undergoes a major structural revision whereby the existing occupational groups are reviewed alongside input collected from many relevant stakeholders through a consultation process. The NOC has been developed and is maintained as part of a collaborative partnership between Statistics Canada (STC) and Employment and Social Development Canada (ESDC). The release of the NOC 2021 will be the product of this 10-year cycle and will reflect changes in the economy and the nature of work. Input from the public, and particularly stakeholders has been a key part of the revision process.

The current NOC structure (NOC 2016) is categorized based on two major attributes of jobs, the "Broad Occupational Category" and the "Skill Level", as classification criteria. The former is defined as the type of work performed, with respect to the educational discipline or field of study for entry into an occupation and the industry of employment (e.g. health occupations or sales and service occupations). The "Skill Level" categorization is defined first by the amount and type of education and training usually required to enter and perform the duties of an occupation, but also considers experience, complexity and responsibilities. See Schedule A for details.

Revising the NOC

During consultation, it was suggested to add a new "Skill Level" to the current categorization, to clarify the distinction in formal training or education actually required among unit groups, especially in the current "Skill Level B", which has a wide range of formal training or educational requirements. The NOC 2016 "Skill Level B" includes all occupations usually requiring two to three years of post-secondary education at community college, institute of technology or CÉGEP or two to five years of apprenticeship training. In the NOC 2016, 211 occupations (42%) were classified under "Skill Level B", creating a disproportionately large group and thereby limiting the ability to analyze distinctions amongst a large percentage of occupations.

Another observation during the revision process was the use of the "Skill Level" categorization in the NOC as possibly being misleading because training and education, which are the main building blocks of the NOC's "Skill Level" categorization, are not considered as "skills" in the labour market. With regards to skills, many countries and organizations are currently developing their own skills taxonomy (which include concepts such as numeracy and literacy). Therefore, it was deemed appropriate for the NOC to move away from the "Skill Level" categorization.

The NOC 2021 revision will overhaul the "Skill Level" structure by introducing a new categorization representing the degree of Training, Education, Experience and Responsibilities (TEER) required for an occupation.

The new "TEER" categorization redefines the requirements of the occupation by reconsidering the type of education, training and experience required for entry, as well as the complexities and responsibilities typical of an occupation. In general, the greater the range and complexity of occupational tasks, the greater the amount of formal education and training, previous experience, on-the-job training, and in some instances responsibility, required to competently perform the set of tasks for that occupation.

Legislative and senior management occupations are classified in "TEER" 0 and defined as Management as they generally require and have a significant level of experience, knowledge and responsibilities related to resource planning and directing. Occupations classified under "TEER" 1 usually require university education or previous experience and expertise in subject matter knowledge from a related occupation found within TEER 2. Occupations usually requiring post-secondary education of two to three years, or apprenticeship training of at least two years, or occupations with supervisory or significant safety responsibilities are classified in "TEER" 2, and "TEER" 3 for those occupations requiring less than two years of post-secondary education or on-the-job training, training courses or specific work experience of more than six months. Occupations usually requiring a high-school diploma or no formal education are classified in "TEER" 4 or "TEER" 5. See Schedule B for the complete NOC 2021 restructure.

These changes significantly improve how the NOC classification takes into account the distinctions in formal training and educational requirements and better reflects skill and knowledge development occurring through on-the-job experience. At the same time, it increases the homogeneity of the distribution of unit groups within the classification, and addresses concerns about the "Skill Level" categorization and the distribution of unit groups among them.

The redesign of the NOC for 2021 moves away from the current NOC four "Skill Level" categories to an innovative six-grouping "TEER" categorization. This change is necessary for several reasons. First, the "Skill Level" terminology is often misleading for many stakeholders. This change will reduce confusion. Second, some NOC users artificially create or infer a low- and high-skill categorization. This redesign moves away from high/low skill categorization as the TEER more accurately captures differences in occupational requirements, which in turn will aid in the analysis of occupations.

The transition from the "Skill Level" to the "TEER" categorization makes the distribution of occupations across the "TEER categories" more balanced. The change in the distribution of unit groups is summarized in the tables below.

Distribution of NOC Unit Groups by Skill Level

Distribution of NOC Unit Groups by Skill Level

NOC 2016
Skill Level A	28%
Skill Level B	42%
Skill Level C	24%
Skill Level D	6%

Distribution of NOC Unit Groups by TEER

Distribution of NOC Unit Groups by TEER

NOC 2021
TEER Category 0	9%
TEER Category 1	19%
TEER Category 2	31%
TEER Category 3	14%
TEER Category 4	18%
TEER Category 5	9%

Note: The NOC 2021 final distribution may change when structure is finalized.

Impact on users

The structure and format of the current National Occupational Classification 2016 version are based on the four-tiered hierarchical arrangement of occupational groups with successive levels of disaggregation. It contains broad occupational categories, major, minor and unit groups.

The format of NOC 2021 will use a five-tiered hierarchical arrangement of occupational groups with successive levels of disaggregation and will contain broad, major, sub-major, minor and unit groupings. The structure of the National Occupational Classification 2021 is based on two key occupational categorizations: Occupational categories and TEER categories, which are identified in the first two digits of the NOC 2021 5-digit code. The 5-digit code will be structured as follows: XX.XXX. See Schedule B for details of the two important groupings.

It is important to note that the redesign of the NOC will have significant implications for several Statistics Canada (STC) Surveys, such as the Labour Force Survey (LFS), and ESDC programs such as the Temporary Foreign Worker Program and Employment Insurance program. This change may have significant impact on various programs throughout other federal departments, as well as provincial, territorial and municipal governments and many users of the NOC.

The NOC 2021 will be published in early 2021 and will become the departmental standard for data collection and dissemination for occupations at Statistics Canada. Implementation dates for the new classification version will vary based on when programs, entities, organizations or individuals decide to use it. For example, Immigration, Refugee and Citizenship Canada (IRCC), in conjunction with ESDC, is aiming to adopt the revised NOC structure in spring 2022 for the management of temporary and permanent resident programs. These dates will be confirmed on IRCC websites closer to the date of implementation.

As a normal practice, in advance of a full classification revision release, Statistics Canada will provide a spreadsheet of the actual structure of the classification, including the unit group numbers and corresponding titles. We will also provide a correspondence table between the NOC 2016 and the NOC 2021 unit groups and their corresponding titles. These products will be posted on our website by December 2020. This notice is being sent out now to inform all NOC users of the upcoming change which is currently being finalized. In early 2021, the full classification will be released, including the Leading Statements, Main Duties, Employment Requirements, Example Titles, Inclusions, Exclusions and Additional Information.

For additional questions, please contact the Statistics Canada NOC team at:
statcan.opmicquestionsmailbox-bgpvpcicourieldequestions.statcan@statcan.gc.ca

Schedule A – NOC 2016

NOC 2016

NOC 2016

The skill type category is…	when the first digit is…
Management occupations	0
Business, finance and administration occupations	1
Natural and applied sciences and related occupations	2
Health occupations	3
Occupations in education, law and social, community and government services	4
Occupations in art, culture, recreation and sport	5
Sales and service occupations	6
Trades, transport and equipment operators and related occupations	7
Natural resources, agriculture and related production occupations	8
Occupations in manufacturing and utilities	9

NOC 2016 skill level criteria - education/training and other criteria

NOC 2016 skill level criteria - education/training and other criteria

The Skill Level category is…	when the second digit is…
Skill Level A	0 or 1
Skill Level B	2 or 3
Skill Level C	4 or 5
Skill Level D	6 or 7

Skill Level A

• University degree (bachelor's, master's or doctorate)

Skill Level B

• Two to three years of post-secondary education at community college, institute of technology or CÉGEP
  or
• Two to five years of apprenticeship training
  or
• Three to four years of secondary school and more than two years of on-the-job training, occupation-specific training courses or specific work experience
• Occupations with supervisory responsibilities are also assigned to skill level B.
• Occupations with significant health and safety responsibilities (e.g., fire fighters, police officers and licensed practical nurses) are assigned to skill level B.

Skill Level C

• Completion of secondary school and some short-duration courses or training specific to the occupation
  or
• Some secondary school education, with up to two years of on-the-job training, training courses or specific work experience

Skill Level D

• Short work demonstration or on-the-job training
  or
• No formal educational requirements

Skill level is referenced in the code for all occupations with the exception of management occupations. For all non-management occupations, the second digit of the numerical code corresponds to skill level. Skill levels are identified as follows: level A – 0 or 1; level B – 2 or 3; level C – 4 or 5; and level D – 6 or 7.

Schedule B – NOC 2021

Schedule B – NOC 2021

Title of Hierarchy	Format	Digit	Represents:
Broad Category	X	First Digit – X	Occupational categorization
Major Group	XX	Second Digit xX	TEER categorization
Sub-major Group	XX.X	xx.X	Top level of the Sub-Major Group
Minor Group	XX.XX	xx.XX	Hierarchy within the Sub-Major Group
Unit Group	XX.XXX	xx.XXX	Hierarchy within the Minor Group

Note: The first digit identifies the Occupation, the second digit identifies the TEER. Therefore, the first 2 digits put together are identified as the Major Group. The next 3 digits identify their hierarchy within the groups.

Schedule B – NOC 2021

Broad Category - Occupation	when the first digit is…
Legislative and senior management occupations	0
Business, finance and administration occupations	1
Natural and applied sciences and related occupations	2
Health occupations	3
Occupations in education, law and social, community and government services	4
Occupations in art, culture, recreation and sport	5
Sales and service occupations	6
Trades, transport and equipment operators and related occupations	7
Natural resources, agriculture and related production occupations	8
Occupations in manufacturing and utilities	9

Schedule B – NOC 2021

The Training, Education, Experience and Responsibility (TEER)	when the second digit is…
Management - TEER	0
Completion of a university degree (bachelor's, master's or doctorate); or Previous experience and expertise in subject matter knowledge from a related occupation found in TEER 2 (when applicable).	1
Completion of a post-secondary education program of two to three years at community college, institute of technology or CÉGEP; or Completion of an apprenticeship training program of two to five years; or Occupations with supervisory or significant safety (e.g. police officers and firefighters) responsibilities; or Several years of experience in a related occupation from TEER 3 (when applicable).	2
Completion of a post-secondary education program of less than two years at community college, institute of technology or CÉGEP; or Completion of an apprenticeship training program of less than two years; or More than six months of on-the-job training, training courses or specific work experience with some secondary school education; or Several years of experience in a related occupation from TEER 4 (when applicable).	3
Completion of secondary school; or Several weeks of on-the-job training with some secondary school education; or Experience in a related occupation from TEER 5 (when applicable).	4
Short work demonstration and no formal educational requirements.	5

• Background documentation
• Preliminary releases, cycle 1
• Cycle 1 (2007 to 2009)
• Cycle 2 (2009 to 2011)
• Cycle 3 (2012 to 2013)
• Cycle 4 (2014 to 2015)
• Cycle 5 (2016 to 2017)
• Cycles 1 and 2 combined (2007 to 2011)
• Cycles 1 and 3 combined (2007 to 2009, 2012 to 2013)
• Cycles 1, 2 and 3 combined (2007 to 2013)
• Cycles 2 and 3 combined (2009 to 2013)
• Cycles 3 and 4 combined (2012 to 2015)
• Cycles 1, 2, 3 and 4 combined (2007 to 2013)
• Cycles 1, 2, 3, 4, and 5 combined (2007 to 2017)

Background documentation

Health Reports articles

Bryan, Shirley, Marc St-Denis and Dana Wojtas. 2007. "Canadian Health Measures Survey: Clinic operations and logistics." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 53 to 70.

Day, Brent, Renée Langlois, Mark Tremblay and Bartha-Maria Knoppers. 2007. "Canadian Health Measures Survey: Ethical, legal and social issues." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 37 to 51.

Garriguet, Didier. 2008. "Impact of identifying plausible respondents on the under-reporting of energy intake in the Canadian Community Health Survey." Health Reports. Vol. 19, no. 4. October. Statistics Canada Catalogue no. 82-003-X. pp. 47 to 55.

Giroux, Suzelle. 2007. "Canadian Health Measures Survey: Sampling strategy overview." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 31 to 36.

Shields, Margot, Sarah Conner Gorber and Mark S. Tremblay. 2008. "Estimates of obesity based on self-report versus direct measures." Health Reports. Vol. 19, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 61 to 76.

Tremblay, Mark S., Michael Wolfson and Sarah Connor Gorber. 2007. "Canadian Health Measures Survey: Rationale, background and overview." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003-SPE. pp. 7 to 20.

Tremblay, Mark, Renée Langlois, Shirley Bryan, Dale Esliger and Julienne Patterson. 2007. "Canadian Health Measures Survey Pre-test: Design, methods, results." Health Reports. Supplement to Vol. 18. December. Statistics Canada Catalogue no. 82-003- SPE. pp. 21 to 30.

External articles and publications

Canadian Institute for Health Information. 2004. "The Canadian Health Measures Survey." Health of the Nation. Vol. 1. Winter. p. 7.

Castle, David and Nola M. Ries. 2007. "Ethical, legal and social issues in nutrigenomics: the challenges of regulating service delivery and building health professional capacity." Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. Vol. 622, no. 1-2. September. pp. 138 to 143.

Connor Gorber, Sarah, Mark Tremblay, D. Moher and B. Gorber. 2007. "A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systemic review." Obesity Reviews. Vol. 8, no. 4. pp. 307 to 326.

Dietitians of Canada. 2006. "New Statistics Canada survey to take direct physical measures of nutritional health." Members in Action. November. pp. 4 to 5.

Équipe de l'Enquête canadienne sur les mesures de la santé. 2008. "Biosurveillance des substances chimiques de l'environnement." Bulletin d'information en santé environnementale. Vol. 19, no. 2. March-June. pp. 7 to 8.

Esliger, Dale W., Adam Probert, Sarah Connor Gorber, Shirley Bryan, Manon Laviolette and Mark S. Tremblay. 2007. "Validity of the Actical accelerometer step-count function." Medicine & Science in Sports & Exercise. Vol. 39, no. 7. pp. 1200 to 1204.

Journal of the Canadian Dental Association. 2007. "Canadian Health Measures Survey Gets Underway." Journal of the Canadian Dental Association. Vol. 73, no. 2. March. p. 116.

---. 2009. "The JCDA Interview: Dr. Peter Cooney: Canada's Chief Dental Officer." Journal of the Canadian Dental Association. Vol. 75, no. 1. February. pp. 29 to 31.

Office of the Chief Dental Officer. 2007. "Statistics Canada's Canadian Health Measures Survey (CHMS)." Canadian Journal of Dental Hygiene. Vol. 41, no. 3. May-June. pp. 151 to 153.

Probert, Adam W., Mark S. Tremblay and Sarah Conner Gorber. 2008. "Desk Potatoes—The Importance of Occupational Physical Activity on Health." Canadian Journal of Public Health. Vol. 99, no. 4. July-August. pp. 311 to 318.

Sommerfeld, J. and A. M. Oduola. 2007. "Health-related biotechnologies for infectious disease control in Africa: Ethical, Legal and Social Implications (ELSI) of transfer and development." African Journal of Medicine and Medical Sciences. Vol. 36, no. 1-5.

Spence, John C. 2004. "The Canadian Health Measures Survey: Introduction: Why Should We Give a Hoot about this Survey?" WellSpring. Vol. 15, no. 3. October. p. 1.

Tremblay, Mark. 2004a. "The Canadian Health Measures Survey: Background to the Canadian Health Measures Survey" WellSpring. Vol. 15, no. 3. October. pp. 2 to 4.

---. 2004b. "The Need for Directly Measured Health in Canada." Canadian Journal of Public Health. Vol. 95, no. 3. May-June. pp. 165 to 166.

Tremblay, Mark S. and Sarah Connor Gorber. 2007. "Canadian Health Measures Survey: Brief overview." Canadian Journal of Public Health. Vol. 98, no. 6. November- December. pp. 453 to 456.

Preliminary releases, cycle 1

Health Reports articles

Wong, Suzy and Ellen J.D. Lye. 2008. "Lead, mercury and cadmium levels in Canadians." Health Reports. Vol. 19, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 31 to 36.

The Daily releases

Statistics Canada. 2008. "Study: Lead, mercury and cadmium levels in Canadians." The Daily. November 19. Statistics Canada Catalogue no. 11-001-X.

---. 2009. "Canadian Health Measures Survey: Vitamin D blood plasma concentrations in the population." The Daily. July 2. Statistics Canada Catalogue no. 11-001-X.

Cycle 1 (2007 to 2009)

Health Reports articles

Bryan, Shirley, Mathieu Saint-Pierre Larose, Norm Campbell, Janine Clarke and Mark S. Tremblay. 2010. "Resting blood pressure and heart rate measurement in the Canadian Health Measures Survey, cycle 1." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 71 to 78.

Bushnik, Tracey, Douglas A. Haines, Patrick Levallois, Johanne Levesque, Jay Van Oostdam and Claude Viau. 2010. "Lead and bisphenol A concentrations in the Canadian population." Health Reports. Vol. 21, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 18.

Colapinto, Cynthia K., Deborah L. O'Connor, Lise Dubois and Mark S. Tremblay. 2012. "Prevalence and correlates of folic acid supplement use in Canada." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 39 to 44.

Colley, Rachel C., Didier Garriguet, Ian Janssen, Cora L. Craig, Janine Clarke and Mark S. Tremblay. 2011a. "Physical activity of Canadian adults: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 22, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 14.

---. 2011b. "Physical activity of Canadian children and youth: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 22, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 15 to 23.

Colley, Rachel C., Sarah Connor Gorber and Mark S. Tremblay. 2010. "Quality control and data reduction procedures for accelerometry-derived measures of physical activity." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 63 to 69.

Colley, Rachel C., Suzy L. Wong, Didier Garriguet, Ian Janssen, Sarah Connor Gorber and Mark S. Tremblay. 2012. "Physical activity, sedentary behaviour and sleep in Canadian children: Parent-report versus direct measures and relative associations with health risk." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 45 to 52.

Evans, Jessica, Yue Chen, Pat G. Camp, Dennis M. Bowie and Louise McRae. 2014. "Estimating the prevalence of COPD in Canada: Reported diagnosis versus measured airflow obstruction." Health Reports. Vol. 25, no. 3. March. Statistics Canada Catalogue no. 82-003-X. pp. 3 to 11.

Garriguet, Didier and Rachel C. Colley. 2012. "Daily patterns of physical activity among Canadians." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 27 to 32.

Langlois, Kellie, Linda Greene-Finestone, Julian Little, Nick Hidiroglou and Susan Whiting. 2010. "Vitamin D status of Canadians as measured in the 2007 to 2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 47 to 54.

Paradis, Gilles, Mark S. Tremblay, Ian Janssen, Arnaud Chiolero and Tracey Bushnik. 2010. "Blood pressure in Canadian children and adolescents." Health Reports. Vol. 21, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 15 to 22.

Shields, Margot, Mark S. Tremblay, Manon Laviolette, Cora L. Craig, Ian Janssen and

Sarah Connor Gorber. 2010. "Fitness of Canadian adults: Results from the 2007-2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 21 to 35.

Shields, Margot, Sarah Connor Gorber, Ian Janssen and Mark S. Tremblay. 2011a. "Bias in self-reported estimates of obesity in Canadian health surveys: An update on correction equations for adults." Health Reports. Vol. 22, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 35 to 45.

---. 2011b. "Obesity estimates for children based on parent-reported versus direct measures." Health Reports. Vol. 22, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 47 to 58.

---. 2012a. "Abdominal obesity and cardiovascular disease risk factors within body mass index categories." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 15.

---. 2012b. "Measures of abdominal obesity within body mass index categories, 1981 and 2007 to 2009." Health Reports. Vol. 23, no. 2. June. Statistics Canada Catalogue no. 82-003-X. pp. 33 to 38.

Tremblay, Mark S., Margot Shields, Manon Laviolette, Cora L. Craig, Ian Janssen and Sarah Connor Gorber. 2010. "Fitness of Canadian children and youth: Results from the 2007-2009 Canadian Health Measures Survey." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 7 to 20.

Wilkins, Kathryn, Marianne Gee and Norm Campbell. 2012. "The difference in hypertension control between older men and women." Health Reports. Vol. 23, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 33 to 40.

Wilkins, Kathryn, Norman Campbell, Michel R. Joffres, Finlay A. McAlister, Marianne Nichol, Susan Quach, Helen L. Johansen and Mark S. Tremblay. 2010. "Blood pressure in Canadian adults." Health Reports. Vol. 21, no. 1. March. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 46.

Wong, Suzy L., Margot Shields, Scott Leatherdale, Eric Malaison and David Hammond. 2012. "Assessment of validity of self-reported smoking status." Health Reports. Vol. 23, no. 1. February. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 46.

The Daily releases

Statistics Canada. 2010a. "Canadian Health Measures Survey: Body composition and fitness, 2007 to 2009." The Daily. January 13. Statistics Canada Catalogue no. 11-001- X.

---. 2010b. "Canadian Health Measures Survey: Blood pressure in adults, 2007 to 2009." The Daily. February 17. Statistics Canada Catalogue no. 11-001-X.

---. 2010c. "Canadian Health Measures Survey: Cholesterol and vitamin D levels, 2007 to 2009." The Daily. March 23. Statistics Canada Catalogue no. 11-001-X.

---. 2010d. "Canadian Health Measures Survey: Blood pressure in children and adolescents, 2007 to 2009." The Daily. May 19. Statistics Canada Catalogue no. 11-001-X.

---. 2010e. "Canadian Health Measures Survey: Lead, bisphenol A and mercury, 2007 to 2009." The Daily. August 16. Statistics Canada Catalogue no. 11-001-X.

---. 2010f. "Canadian Health Measures Survey: data on physical activity, 2007 to 2009." The Daily. November 23. Statistics Canada Catalogue no. 11-001-X.

---. 2011a. "Canadian Health Measures Survey: Physical activity of youth and adults, 2007 to 2009." The Daily. January 19. Statistics Canada Catalogue no. 11-001-X.

---. 2011b. "Canadian Health Measures Survey: Adult obesity prevalence in Canada and the United States, 2007 to 2009." The Daily. March 2. Statistics Canada Catalogue no. 11-001-X.

Health fact sheets

---. 2010g. "Aerobic fitness in Canada 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010h. "Body composition of Canadian adults 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010i. "Body mass index (BMI) for children and youth 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010j. "Lung function results 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010k. "Muskuloskeletal fitness in Canada 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010l. "Oral health: Edentulous people in Canada 2007 to 2009." Health Fact Sheets. January 13. Statistics Canada Catalogue no. 82-625-X.

---. 2010m. "Heart health and cholesterol levels of Canadians 2007 to 2009." Health Fact Sheets. March 23. Statistics Canada Catalogue no. 82-625-X.

---. 2010n. "Vitamin D status of Canadians 2007 to 2009." Health Fact Sheets. March 23. Statistics Canada Catalogue no. 82-625-X.

---. 2010o. "Bisphenol A concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.

---. 2010p. "Lead concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.

---. 2010q. "Mercury concentrations in the Canadian population, 2007 to 2009." Health Fact Sheets. August 16. Statistics Canada Catalogue no. 82-625-X.

---. 2011c. "Adult obesity prevalence in Canada and the United States." Health Fact Sheets. March 2. Statistics Canada Catalogue no. 82-625-X.

---. 2011d. "Physical activity levels of Canadian adults, 2007 to 2009." Health Fact Sheets. September 28. Statistics Canada Catalogue no. 82-625-X.

---. 2011e. "Physical activity levels of Canadian children and youth, 2007 to 2009." Health Fact Sheets. September 28. Statistics Canada Catalogue no. 82-625-X.

Data tables

---. 2010r. Canadian Health Measures Survey: Cycle 1 Data Tables, 2007 to 2009 (table). Statistics Canada Catalogue no. 82-623-X.Ottawa, Ontario. 70 p.

External articles and publications

Adamo, Kristi B., Kellie A. Langlois, Kendra E. Brett and Rachel C. Colley. 2012. "Young children and parental physical activity levels: Findings from the Canadian Health Measures Survey." American Journal of Preventive Medicine. Vol. 43, no. 2. August. pp. 168 to 175.

Allison, P. J., T. Bailey, L. Beattie, S. Birch, L. Dempster and N. Edwards. 2014. "Improving access to oral health care for vulnerable people living in Canada." Ottawa, ON: Canadian Academy of Health Sciences.

Angerer, Jurgen, Lesa L. Aylward, Sean M. Hays, Birger Heinzow and Michael Wilhelm. 2011. "Human biomonitoring assessment values: Apporaches and data requirements." International Journal of Hygiene and Environmental Health. Vol. 214, no. 5. September. pp. 348 to 360.

Arbuckle, TE., Davis, K., Boylan, K., Fisher, M., Fu, J. 2016 "Bisphenol A, phthalates and lead and learning and behavioral problems in Canadian children 6–11 years of age: CHMS 2007–2009" Elsevier, NeuroToxicology, Vol. 54, May 2016, pp. 89-98.

Arora, Paul, Priya Vasa, Darren Brenner, Karl Iglar, Phil McFarlane, Howard Morrison and Alaa Badawi. 2013. "Prevalence estimates of chronic kidney disease in Canada: Results of a nationally representative survey." Canadian Medical Association Journal. Vol. 185, no. 9. June. pp. E417 to E423.

Atwood, Kristin M., Cynthia J. Robitaille, Kim Reimer, Sulan Dai, Helen L. Johansen and Mark J. Smith. 2013. "Comparison of diagnosed, self-reported, and physically-measured hypertension in Canada." Canadian Journal of Cardiology. Vol. 29, no. 5. May. pp. 606 to 612.

Aylward, Lesa L., Evan Green, Miquel Porta, Leisa-Maree Toms, Elly Den Hond, Christine Schulz, Magda Gasull, Jose Pumarega, André Conrad, Marike Kolossa- Gehring, Greet Schoeters and Jochen F. Mueller. 2014. "Population variation in biomonitoring data for persistent organic pollutants (POPs): an examination of multiple population-based datasets for application to Australian pooled biomonitoring data." Environment International. Vol. 68. July. pp. 127 to 138.

Bonnet, Colin, Rasheda Rabbani, Michael E. K. Moffatt, Anastasia Kelekis-Cholakis and Robert Schroth. 2019. "The relation between periodontal disease and vitamin D." Journal of the Canadian Dental Association. Vol. 85. pp. 1 to 9.

Brenner, Darren R., Paul Arora, Bibiana García-Bailo, Howard Morrison, Ahmed El- Sohemy, Mohamed Karmali and Alaa Badawi. 2011. "The relationship between inflammation, metabolic syndrome and markers of cardiometabolic disease among Canadian adults." Journal of Diabetes & Metabolism. Vol. 2, no. 9. December.

Brenner, Darren R., Paul Arora, Bibiana García-Bailo, Thomas M.S. Wolever, Howard Morrison, Ahmed El-Sohemy, Mohamed Karmali and Alaa Badawi. 2011. "Plasma vitamin D levels and risk of metabolic syndrome in Canadians." Clinical and Investigative Medicine. Vol. 34, no. 6. December. pp. E377 to E384.

Cakmak, Sabit, Robert Dales, C. Hebbern and G. Saravanabhavan. 2014. "The association between urinary phthalates and lung function." Journal of Occupational and Environmental Medicine. Vol. 56, no. 4. April. pp. 376 to 381.

Cakmak, Sabit, Robert Dales, Judith Leech and Ling Liu. 2011. "The influence of air pollution on cardiovascular and pulmonary function and exercise capacity: Canadian Health Measures Survey (CHMS)." Environmental Research. Vol. 111, no. 8. November. pp. 1309 to 1312.

Clarke, Janine and Ian Janssen. 2014. "Sporadic and bouted physical activity and the metabolic syndrome in adults." Medicine & Science in Sports & Exercise. Vol. 46, no. 1. January. pp. 76 to 83.

Colapinto, Cynthia K., Deborah L. O'Connor and Mark S. Tremblay. 2011. "Folate status of the population in the Canadian Health Measures Survey." Canadian Medical Association Journal. Vol. 183, no. 2. February. pp. E100 to E106.

Colapinto, Cynthia K., Deborah L. O'Connor, L. Dubois and Mark S. Tremblay. 2012. "Folic acid supplement use is the most significant predictor of folate concentrations in Canadian women of childbearing age". Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 2. pp. 284 to 292.

Colapinto, Cynthia K., Mark S. Tremblay, Susanne Aufreiter, Tracey Bushnik, Christine M. Pfeiffer and Deborah L. O'Connor. 2014. "The direction of the difference between Canadian and American erythrocyte folate concentrations is dependent on the assay method employed: a comparison of the Canadian Health Measures Survey and National Health and Nutrition Examination Survey". British Journal of Nutrition. August. pp. 1 to 9.

Colley, Rachel C., Didier Garriguet, Ian Janssen, Suzy L. Wong, Travis J. Saunders, Valerie Carson and Mark S. Tremblay. 2013. "The association between accelerometer- measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey." BMC Public Health. Vol. 13, no. 200. March.

Colley, Rachel C., Didier Garriguet, Kristi B. Adamo, Valerie Carson, Ian Janssen, Brian W. Timmons and Mark S. Tremblay. 2013. "Physical activity and sedentary behavior during the early years in Canada: a cross-sectional study." International Journal of Behavioral Nutrition and Physical Activity. Vol. 10, no. 54.

Colley, Rachel C., Ian Janssen and Mark S. Tremblay. 2012. "Daily step target to measure adherence to physical activity guidelines in children." Medicine & Science in Sport & Exercise. Vol. 44, no. 5. May. pp. 977 to 982.

Colley, Rachel C. and Mark S. Tremblay. 2011. "Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer." Journal of Sports Sciences. Vol. 29, no. 8. May. pp. 783 to 789.

Collins, Kelsey H., Behnam Sharif, Claudia Sanmartin, Raylene A. Reimer, Walter Herzog, Rick Chin and Deborah A. Marshall. 2016. "Association of body mass index (BMI) and percent body fat among BMI-defined non-obese middle-aged individuals: Insights from a population-based Canadian sample." Canadian Journal of Public Health. Vol. 107, no. 6. November. pp. e520 to e525.

Craig, Cora L., Margot Shields, Allana G. Leblanc and Mark S. Tremblay. 2012. "Trends in aerobic fitness among Canadians, 1981 to 2007–2009." Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 3. pp. 511 to 519.

Crane, Connie Jeske. 2014. "Getting girls to stay in the game." Herizons. Vol. 27, no. 3. Winter. pp. 7 to 9.

Curren, Meredith. 2017. "Special analysis of metals in adults from Cycle 1 of the CHMS and which excludes children (18-79)". NCP CACAR IV Report. May.

Cushman, Reid, A. Michael Froomkinb, Anita Cavac, Patricia Abrilc and Kenneth W. Goodman. 2010. "Ethical, legal and social issues for personal health records and applications." Journal of Biomedical Informatics. Vol. 43, no. 5. October. pp. S51 to S55.

Czoli, Christine D. and David Hammond. 2014. "TSNA exposure: Levels of NNAL among Canadian tobacco users." Nicotine and Tobacco Research. Vol. 17, no. 7. July. pp. 825 to 830.

Da Costa, Laura A., Paul Arora, Bibiana García-Bailo, Mohamed Karmali, Ahmed El- Sohemy and Alaa Badewi. 2012. "The association between obesity, cardiometabolic disease biomarkers, and innate immunity-related inflammation in Canadian adults." Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. Vol. 2012, no. 5. October. pp. 347 to 355.

Dales, Robert E., Sabit Cakmak, Judith Leech and Ling Liu. 2013. "The association between personal care products and lung function." Annals of Epidemiology. Vol. 23, no. 2. February. pp. 49 to 53.

Duncan, L. and Ashley Bonner. 2014. "Effects of income and dental insurance coverage on need for dental care in Canada." Journal of Canadian Dental Association. Vol. 80, no. 6. pp. 1 to 9.

Elani, Hawazin W., Sam Harper, P.J. Allison, C. Bedos and J.S. Kaufman. 2012."Socio- economic inequalities and oral health in Canada and the United States." Journal of Dental Research. Vol. 9, no. 91. September. pp. 865 to 870.

Elani, Hawazin W., Sam Harper, William Murray Thomson, Iris L. Espinoza, Gloria C. Mejia, Xiangqun Ju, Lisa M. Jamieson, Ichiro Kawachi and Jay S. Kaufman. 2017. "Social inequalities in tooth loss: A multinational comparison." Community Dentistry and Oral Epidemiology. Vol. 45, no. 3. February. pp. 266 to 274.

Farmer, Julie. 2015. "Measuring the magnitude of oral health inequalities within and between Canada the United States from 1970 to 2009. Graduate Department of Dentistry." Toronto, ON: University of Toronto.

Fernandez, Lois, Penny Jee, Mari-Jill Klein, Peter Fischer, Sherry L. Perkins and Stephen P.J. Brooks. 2013. "A comparison of glucose concentration in paired specimens collected in serum separator and fluoride/potassium oxalate blood collection tubes under survey 'field' conditions." Clinical Biochemistry. Vol. 46, no. 4 to 5. March. pp. 285 to 288.

Fisher, Mandy, Tye E. Arbuckle, Mike Wade and Douglas A. Haines. 2013. "Do perfluoroalkyl substances affect metabolic function and serum lipids?—Analysis of the 2007–2009 Canadian Health Measures Survey (CHMS) Cycle 1." Environmental Research. Vol. 121. February. pp. 95 to 103.

Galloway, Tracey, Kue. Young and Grace M. Egeland. 2010. "Emerging obesity among preschool-aged Canadian Inuit children: results from the Nunavut Inuit Child Health Survey." International journal of circumpolar health. Vol. 69, no. 2. March. pp. 151 to 157.

García-Bailo, Bibiana, Laura Da Costa, Paul Arora, Mohamed Karmali, Ahmed El- Sohemy and Alaa Badewi. 2013. "Plasma vitamin D and biomarkers of cardiometabolic disease risk in adult Canadians, 2007-2009." Preventing Chronic Disease. Vol. 10.

Gee, Marianne E., Asako Bienek, Finlay A. McAlister, Cynthia Robitaille, Michel Joffres, Mark S. Tremblay, Helen Johansen and Norman R.C. Campbell. 2012. "Factors associated with lack of awareness and uncontrolled high blood pressure among Canadian adults with hypertension." Canadian Journal of Cardiology. Vol. 28, no. 3. May. pp. 375 to 382.

Gee, Marianne E., Ian Janssen, William Pickett, Finlay A. McAlister, Christina M. Bancej, Michel Joffres, Helen Johansen and Norman R.C. Campbell. 2012. "Prevalence, Awareness, Treatment, and Control of Hypertension Among Canadian Adults With Diabetes, 2007 to 2009." Canadian Journal of Cardiology. Vol. 28, no. 3. May. pp. 367 to 374.

Gibson, Lindsay Ellen. 2014. "Beverage consumption patterns and oral health outcomes: Do milk and water confer protective benefits against sugary- or acidic- beverage consumption?" Health Studies and Gerontology. Waterloo, ON: Waterloo University.

Gravel, Sabrina, Jérôme Lavoué and France Labrèche. 2017. "Workers' exposure to brominated flame retardants: A glance at American and Canadian population databases." Occupational and Environmental Medicine. Vol. 74, no. 1. pp. A128 to A129.

Gravel, Sabrina, Jérôme Lavoué and France Labrèche. 2018. "Exposure to polybrominated diphenyl ethers (PBDEs) in American and Canadian workers: Biomonitoring data from two national surveys." Science of the Total Environment. Vol. 631 to 632. August. pp. 1465 to 1471.

Greene-Finestone, Linda S., Kellie A. Langlois and Susan J. Whiting. 2013. "Characteristics of users of supplements containing vitamin D in Canada and associations between dose and 25-hydroxvitamin D." Applied Physiology Nutrition and Metabolism. Vol. 38, no. 7, July. pp. 707 to 715.

Greenfield, Jamie, Philip S. Park, Ellie Farahani, Suneil Malik, Reinhold Vieth, Norman A McFarlane, Theodore G. Shepherd and Julia A Knight. 2012. "Solar ultraviolet-B radiation and vitamin D: a cross-sectional population-based study using data from the 2007 to 2009 Canadian Health Measures Survey." BMC Public Health. Vol. 12, no. 1. pp. 660 to 669.

Grenon, Gordon Lee. 2013. "Persistent organic pollutants and type II diabetes mellitus." Faculty of Health Sciences. Burnaby, BC: Simon Fraser University.

Gurusankar, Saravanabhavan, Mireille Guay, Éric Langlois, Suzelle Giroux, Janine Murray and Douglas Haines. 2013. "Biomonitoring of phthalate metabolites in the Canadian population through the Canadian Health Measures Survey (2007-2009)." International Journal of Hygiene and Environmental Health. Vol. 216, no. 6. November. pp. 652 to 661.

Gurusankar, Saravanabhavan, Mireille Guay, Mike Walker, Lesa Aylward. 2014. "Urinary excretion and daily intake rates of diethyl phthalate in the general Canadian population." Science of the Total Environment. Vol. 500-501, December. pp. 191 to 198.

Haines, Douglas A. and Janine Murray. 2012. "Human biomonitoring of environmental chemicals—Early results of the 2007-2009 Canadian Health Measures Survey for males and females." International Journal of Hygiene and Environmental Health. Vol. 215, no. 2. February. pp. 133 to 137.

Haines, Douglas A., Tye E. Arbuckle, Ellen Lye, Melissa Legrand, Mandy Fisher, Renée Langlois and William Fraser. 2011. "Reporting results of human biomonitoring of environmental chemicals to study participants: a comparison of approaches followed in two Canadian studies." Journal of Epidemiology & Community Health. Vol. 65, no. 3. March. pp. 191 to 198.

Haines, Douglas A., Melissa Legrand, Tye E. Arbuckle, Jay Van Oosldam, Robert W. Dabeka, Constantine Tikhonov et William Fraser. 2012. "Examples of Ongoing International Surveys: Canada". Biomarkers and Human Biomonitoring. Vol. 1. pp. 79- 106.

Hajna, Samantha, Kaberi Dasgupta and Nancy A. Ross. 2018. "Laboratory-assessed markers of cardiometabolic health and associations with GIS-based measures of active- living environments." International Journal of Environmental Research and Public Health. Vol. 15, no. 10. July. pp. 1 to 11.

Hajna, Samantha, Nancy A. Ross, Lawrence Joseph, Sam Haper and Kaberi Dasgupta. 2015. "Neighbourhood walkability, daily steps and utilitarian walking in Canadian adults." BMJ Open. vol. 5, no. 11. November. pp. 1 to 10.

Hayes, Alyssa, Amir Azarpazhooh, Laura Dempster, Vahid Ravaghi and Carlos Quiñonez. 2013. "Time loss due to dental problems and treatment in the Canadian population: analysis of a nationwide cross-sectional survey." BMC Oral Health. Vol.13, April.

Health Canada. 2010a. Overview of the Report on Human Biomonitoring of Environmental Chemicals in Canada. Ottawa, Ontario. Minister of Health. 7 p.

---. 2010b. Report on Human Biomonitoring of Environmental Chemicals in Canada Results of the Canadian Health Measures Survey Cycle 1 (2007– 2009). Ottawa, Ontario. Minister of Health. 283 p.

---. 2010c. Report on the Findings of the Oral Health Component of the Canadian Health Measures Survey 2007– 2009. Ottawa, Ontario. Minister of Health. 111 p.

---. 2010d. Summary Report on the Findings of the Oral Health Component ofthe Canadian Health Measures Survey 2007– 2009. Ottawa, Ontario. Minister of Health. 19 p.

---. 2013a. Final Human Health State of the Science Report on Lead. Ottawa, Ontario. Minister of Health. 101 p.

---. 2013b. Risk Management Strategy for Lead. Ottawa, Ontario. Minister of Health. 63 p.

Héroux, M., V. Onywera, Mark. S. Tremblay, K. B. Adamo, J. L. Taylor, E. J. Ulloa and I Janssen. 2013. "The relation between aerobic fitness, muscular fitness and obesity in children from three countries at different stages of the physical activity transition." ISRN Obesity. Vol. 2013. 10 p.

Higgins, Benjamin Roscoe. 2013. "Exploring relationships between socio-economic status and the health correlates of excess weight among Canadians." Department of Sociology. Calgary, AB: University of Calgary.

Jamieson, L. M., H.W. Elani, G. C. Mejia, X. Ju, I. Kawachi, S. Harper, W. M. Thomson and J. S. Kaufman. 2016. "Inequalities in Indigenous oral health: Findings from Australia, New Zealand, and Canada." Journal of Dental Research. Vol. 95, no. 12. November. pp. 1375 to 1380.

Janssen, Ian. 2012. "Health care costs of physical inactivity in Canadian adults." Applied Physiology, Nutrition and Metabolism. Vol. 37, no. 4. pp. 803 to 806.

Janssen, Ian, Margot Shields, Cora L. Craig and Mark S. Tremblay. 2011. "Prevalence and secular changes in abdominal obesity in Canadian adolescents and adults, 1981 to 2007-2009." Obesity Reviews. Vol. 12, no. 6. June. pp. 397 to 405.

---. 2012. "Changes in the obesity phenotype within Canadian children and adults, 1981 to 2007-2009." Obesity. Vol. 20, no. 4. April. pp. 916 to 919.

Janssen, Ian, Suzy L. Wong, Rachel Colley and Mark S. Tremblay. 2013. "The fractionalization of physical activity throughout the week is associated with the cardiometabolic health of children and youth." BMC Public Health. Vol. 13. June.

Joffres, Michel, Margot Shields, Mark S. Tremblay and Sarah Connor Gorber. 2013. "Dyslipidemia prevalence, treatment, control, and awareness in the Canadian Health Measures Survey." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pp. E252 to E257.

Keboya, Solange Feseke. 2014. "L'association entre les niveaux d'arsenic urinaire et la prévalence du diabète de type 2 au Canada." Épidémiologie. Québec, QC: Université Laval.

Khan, Sara, Julian Little and Yue Chen. 2014. "Relationship between adiposity and pulmonary function in school-aged Canadian children." Pediatric Allergy, Immunology, and Pulmonology. Vol. 27, no. 3. September. pp. 126 to 132.

Khan, Sarah, Xiao-Mei Mai and Yue Chen. 2013. "Plasma 25-hydroxyvitamin D associated with pulmonary function in Canadian adults with excess adiposity." American Journal of Clinical Nutrition. Vol. 98, no. 1. pp. 174 to 179.

---. 2014. "The link between plasma 25-hydroxyvitamin D and lung function in general and asthmatic children." Pediatric allergy, immunology and pulmonology. Vol. 27, no. 2. June. pp. 87 to 91.

Kuhle, Stefan, Christina Fung and Paul J. Veugelers. 2013. "Medication use in normal weight and overweight children in a nationally representative sample of Canadian children." Archives of Diseases in Childhood. Vol. 97, no. 9. September. pp. 842 to 847.

L'Abbe, Mary R., Ying Qi, Marcia Cooper and Wendy Lou. 2011. "Iron bioavailability of the diets of Canadians." The FASEB Journal. Vol. 25, no. 1.

LaKind, Judy S., Johanne Levesque, Pierre Dumas, Shirley Bryan, Janine Clarke and Daniel Q. Naiman. 2012. "Comparing United States and Canadian population exposures from national biomonitoring surveys: Bisphenol A intake as a case study." Journal of Exposure Science and Environmental Epidemiology. Vol. 22, no. 3. May. pp. 219 to 226.

Landry, Denise. 2013. "Interrelationships between vitamin D and body mass index and waist circumference in Canada." Epidemiology & Community Medicine. Ottawa, ON: University of Ottawa. 120 p.

Larouche, Richard, G. E. J. Faulkner, M. Fortier and Mark S. Tremblay. 2014. "Active transportation and adolescents' health: The Canadian Health Measures Survey." American Journal of Preventive Medicine. Vol. 46, no. 5. pp. 507 to 515.

Larouche, Richard, Louis Laurencelle, Roy J. Shephard and François Trudeau. 2012. "Life transitions in the waning of physical activity from childhood to adult life in the Trois- Rivières study." Journal of Physical Activity and Health. Vol. 9, no. 4. May. pp. 516 to 524.

Larouche, Richard, Meghann Lloyd, Emily Knight and Mark S. Tremblay. 2011. "Relationship between active school transport and body mass index in grades 4 to 6 children." Pediatric Exercise Science. Vol. 23, no. 3. August. pp. 322 to 330.

Lye, Ellen, Melissa Legrand, Janine Clarke and Adam Probert. 2013. "Blood total mercury concentrations in the Canadian population: Canadian Health Measures Survey cycle 1, 2007-2009." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pp. E246 to E251.

MacFarlane, Amanda J., Linda S. Greene-Finestone and Yipu Shi. 2011. "Vitamin B-12 and homocysteine status in a folate-replete population: results from the Canadian Health Measures Survey." American Journal of Clinical Nutrition. Vol. 94, no. 4. October. pp. 1079 to 1087.

Maximova, Katerina, Stefan Kuhle, Zachary Davidson, Christina Fung and Paul J. Veugelers. 2013. "Cardiovascular risk factor profiles of normal and overweight children and adolescents: insights from the Canadian Health Measures Survey." Canadian Journal of Cardiology. Vol. 29, no. 8. August. pp. 976 to 982.

McAlister, Finlay A., Cynthia Robitaille, Cathleen Gillespie, Keming Yuan, Deepa P. Rao, Steven Grover, Sulan Dai, Helen Johansen, Michel Joffres, Fleetwood Loustalot and Norm Campbell. 2013. "The impact of cardiovascular risk-factor profiles on blood pressure control rates in adults from Canada and the United States." Canadian Journal of Cardiology. Vol. 29, no. 5. May. pp. 598 to 605.

McAlister, Finlay A., Kathryn Wilkins, Michel Joffres, Frans H.H. Leenen, George Fodor, Marianne Gee, Mark S. Tremblay, Robin Walker, Helen Johansen and Norm Campbell. 2011. "Changes in the rates of awareness, treatment and control of hypertension in Canada over the past two decades." Canadian Medical Association Journal. Vol. 183, no. 9. June. pp. 1007-1013.

Nicolae, Alexandra, Harry Ames and Carlos Quiñonez. 2013. "Dental amalgam and urinary mercury concentrations: a descriptive study ." BMC Oral Health. Vol. 13, no. 44. September.

Niruban, Selvanayagam John. 2014. "Association between asthma and vitamin D in children, adolescents and adults." Department of Public Health Sciences. Edmonton, AB: University of Alberta.

Niruban, Selvanayagam John, K. Alagiakrishnan, J. Beach and A. Senthilselvan. 2014. "Association of vitamin D with respiratory outcomes in Canadian children."European Journal of Clinical Nutrition. Vol. 68, no. 12. July.

Onywera, V. O., M. Héroux, E. J. Ulloa, K. B. Adamo, J. L. Taylor, I. Janssen and Mark S. Tremblay. 2013. "Adiposity and physical activity among children in countries at different stages of the physical activity transition: Canada, Mexico and Kenya." African Journal for Physical, Health Education, Recreation and Dance. Vol. 19, no. 1. pp. 134 to 144.

Ordre des dentistes du Québec. 2010. "Rapport des résultats du module sur la santé buccodentaire de l'Enquête canadienne sur les mesures de la santé 2007-2009." Journal de l'Ordre des dentistes du Québec. Vol. 47, no. 3. June-July. pp. 24.

Ornek, Mustafa. 2016. "The BMI: Measurement, physician costs and distributional decomposition. Health Policy PhD Program." Hamilton, ON: McMaster University.

Oulhote, Youssef, Jonathan Chevrier and Maryse F. Bouchard. 2015. "Exposure to polybrominated diphenyl ethers (PBDEs) and hypothyroidism in Canadian women." Journal of Clinical Endocrinology and Metabolism. Vol. 101, no. 2. pp. 590 to 598.

Oulhote, Youssef and Maryse Bouchard. 2013a. "Pyrethroid and organophosphate insecticides and behavioral problems, CHMS." American Journal of Epidemiology. Vol. 177. June.

---. 2013b. "Urinary metabolites of organophosphate and pyrethroid pesticides and behavioral problems in Canadian children." Environmental Health Perspectives. Vol. 121, no. 11-12. November-December. pp. 1378 to 1384.

Padwal, Raj S., Hsui-Ju Chang, Scott Klarenbach, Arya M. Sharma and Sumit R. Majumdar. 2012. "Characteristics of the population eligible for and receiving publicly funded bariatric surgery in Canada." International Journal for Equity in Health. Vol. 11. September.

Ramraj, Chantel. 2012. "Dental treatment needs in the Canadian population." Faculty of Dentistry. Toronto, ON: University of Toronto. pp. 1 to 103.

Ramraj, Chantel, Amir Azarpazhooh, Laura Dempster, Vahid Ravaghi and Carlos Quiñonez. 2012. "Dental treatment needs in the Canadian population: analysis of a nationwide cross-sectional survey." BMC Oral Health. Vol. 12. October.

Ramraj, Chantel, L. Sadeghi, H.P. Lawrence, L. Dempster, and C. Quiñonez. 2013. "Is accessing dental care becoming more difficult? Evidence from Canada's middle-income population." PLOS ONE. Vol. 8, no. 2. February.

Rao, Deepa P, Dai, Sulan, Claudia Lagacé and Daniel Krewski. 2014. "Metabolic Syndrome and Chronic Disease." Chronic Diseases and Injuries in Canada. Vol. 34, no. 1. February.

Ravaghi, Vahid, Carlos Quiñonez and Paul J. Allison. 2013a. "Comparing inequalities in oral and general health: Findings of the Canadian Health Measures Survey." Canadian Journal of Public Health. Vol. 104, no. 7. pp. E466 to E471.

---. 2013b. "The magnitude of oral health inequalities in Canada: Findings of the Canadian Health Measures Survey." Community Dentistry and Oral Epidemiology. Vol. 41, no. 6. pp. 490 to 498.

---. 2013c. "Oral pain and its covariates: findings of a Canadian population-based study." Journal of the Canadian Dental Association. Vol. 79, no. (d3). pp. 1 to 9.

Rawn, Dorothea F.K., J. Jake Ryan, Amy R. Sadler, Wing-Fun Sun, Douglas Haines, Kristin Macey and Jay Van Oostdam. 2012. "PCDD/F and PCB concentrations in sera from the Canadian Health Measures Survey (CHMS) from 2007 to 2009." Environment International. Vol. 47, no. 15. October. pp. 48 to 55.

Rawn, Dorothea F.K., J. Jake Ryan, Amy R. Sadler, Wing-Fun Sun, Douglas Haines, Kristin Macey and Jay Van Oostdam. 2012. "PCDD/F and PCB concentrations in sera from the Canadian Health Measures Survey (CHMS) from 2007 to 2009." Environment International. Vol. 47, no. 15. October. pp. 48 to 55.

Rawn, Dorothea F.K., J. Jake Ryan, Amy R. Sadler, Wing-Fun Sun, Dorcas Weber, Patrick Laffey, Douglas Haines, Kristin Macey and Jay Van Oostdam. 2014. "Brominated flame retardant concentrations in sera from the Canadian Health Measures survey (CHMS) from 2007 to 2009." Environment International. Vol. 63. February. pp. 26 to 34

Richardson, G. Mark. 2012. "Evidence that bisphenol-a exposure is not associated with composite resin dental fillings." Pediatrics. Vol. 130, no. 2. pp. 1.

---. 2013. "2013 Canadian exposure factors handbook: Life expectancy, body dimensions, inhalation, time-activity, and soil ingestion." Saskatoon, SK: University of Saskatchewan, Toxicology Centre. 60 p.

---. 2014. "Mercury exposure and risks from dental amalgam in Canada: The Canadian Health Measures Survey 2007-2009." Human and Ecological Risk Assessment: An International Journal. Vol.20, no. 2. pp. 433 to 447.

Riediger, Natalie D. and Ian Clara. 2011. "Prevalence of the metabolic syndrome in the Canadian adult population." Canadian Medical Association Journal. Vol. 183, no. 15. October. pp. E1127 to E1134.

Ries, Nola M., Jane LeGrandeur and Tomothy Caulfield. 2010. "Handling ethical, legal and social issues in birth cohort studies involving genetic research: responses from studies in six countries." BMC Med Ethics. Vol. 11, no. 4. March.

Saravanabhavan, Gurusankar and J. Murray. 2012. "Human biological monitoring of diisononyl phthalate and diisodecyl phthalate: a review." Journal of Environmental and Public Health. Vol. 2012. 11 p.

Saravanabhavan, Gurusankar, Mireille Guay, Éric Langlois, Suzelle Giroux, Janine Murray and Douglas Haines. 2013. "Biomonitoring of phthalate metabolites in the Canadian population through the Canadian Health Measures Survey (2007-2009)." International Journal of Hygiene and Environmental Health. Vol. 216, no. 6. November. pp. 652 to 661.

Schroth, R. J., R. Rabbani, G. Loewen and M. E. Moffatt. 2016. "Vitamin D and dental caries in children." Journal of Dental Research. Vol. 95, no. 2. November. pp. 173 to 179.

Setayeshgar, Solmaz, Susan J. Whiting and Hassanali Vatanparast. 2012. "Metabolic syndrome in Canadian adults and adolescents: Prevalence and associated dietary intake." ISRN Obesity. Vol. 2012. pp. 1 to 8.

---. 2013. "Prevalence of 10-year risk of cardiovascular diseases and associated risks in Canadian adults: The contribution of cardiometabolic risk assessment introduction." International Journal of Hypertension. Vol. 2013. pp. 1 to 8.

Shi, Yipu, Margaret de Groh and Howard Morrison. 2012. "Increasing blood pressure and its associated factors in Canadian children and adolescents from the Canadian Health Measures Survey."BMC Public Health. Vol. 12, no. 388. May.

---. 2013. "Perinatal and early childhood factors for overweight and obesity in young Canadian children." Canadian Journal of Public Health. Vol. 104, no. 1. January- February. pp. e69 to e74.

Shields, Margot, Margaret D. Carroll and Cynthia L. Ogden. 2011. "Adult Obesity Prevalence in Canada and the United States." NCHS Data Brief. no. 56. March. 7 p.

Singh, Kavita, Subramanian Karthikeyan, and Annie St-Amand. 2018. "Factors associated with plasma concentrations of polychlorinated biphenyls (PCBs) and dichlorodiphenyldichloroethylene (p,p'-DDE) in the Canadian population." International Journal of Environmental Health Research. Vol. 29, no. 3. November. pp. 326-347.

Sluggett, Larine. 2012. "Associations between sleep duration and indicators of cardio- metabolic disease in Canadian children and adolescents." School of Health Sciences. Prince George, BC: University of Northern British Columbia.

Sluggett, Larine, Shannon Wagner, Cindy Hardy and R. Luke Harris. 2016. "Associations between sleep duration and indicators of cardiometabolic disease in Canadian children and adolescents: Analyses of the 2007-2009 Canadian Health Measures Survey." Childhood Obesity. Vol. 12, no. 5. October. pp. 325 to 333.

Stone, M.R., G.E. Faulkner and R.N. Buliung. 2013. "How active are children in Toronto? A comparison with accelerometry data from the Canadian Health Measures Survey". Chronic Diseases and Injuries in Canada. Vol. 33, no. 2. March. pp. 61 to 68.

Theis, Beth, Roxana Raut, Elisa Candido, Stephanie Young, and Loraine D. Marrett. 2011. "Risk factor and screening report, national and provincial, incorporating sociodemographic variables." Colorectal Cancer Network (CRCNet), Cancer Care Ontario. September. pp. 1 to 122.

Theis, Beth, Roxana Raut, J.P.K. Chan, Elisa Candido, and Loraine D. Marrett. 2011. "Risk factors and screening by age and sex, national and provincial." Colorectal Cancer Network (CRCNet), Cancer Care Ontario. June. pp. 1 to 84.

Thompson, Brandy. 2012. "Cost barriers to dental care in Canada." Department of Dentistry. Toronto, ON: University of Toronto.

Thompson, Brandy, P. Cooney, H. Lawrence, V. Ravaghi and C. Quiñonez. 2014. "Cost as a barrier to accessing dental care: findings from a Canadian population-based study." Journal of Public Health Dentistry. Vol. 74, no. 3. January.

Votova, Kristine M.E, Régis Blais, Margaret J. Penning, and Malcolm K. Maclure. 2013 "Polypharmacy meets polyherbacy: Pharmaceutical, over-the-counter and natural health product use among Canadian adults." Canadian Journal of Public Health. Vol. 104, no. 3. May-June. pp. 222 to 228.

Whiting, Susan J., Kellie A. Langlois, Hassanali Vatanparast and Linda S. Greene- Finestone. 2011. "The vitamin D status of Canadians relative to the 2011 Dietary Reference Intakes: an examination in children and adults with and without supplement use." American Journal of Clinical Nutrition. Vol. 93, no. 7. July. 8 p.

Wong, Suzy Lai, Eric Malaison, David Hammond and Scott T. Leatherdale. 2013. "Secondhand smoke exposure among Canadians: Cotinine and self-report measures from the Canadian Health Measures Survey 2007–2009." Nicotine & Tobacco Research. Vol. 15, no. 3. March. pp. 693 to 700.

Wong, Suzy Lai, Rachel Colley, Sarah Connor Gorber and Mark Tremblay. 2011. "Actical accelerometer sedentary activity thresholds for adults." Journal of Physical Activity and Health. Vol. 8, no. 4. May. pp. 587 to 591.

Yao, Chao Shu and Michael I. MacEntee. 2013. "Inequity in Oral Health Care for Elderly Canadians: Part 1. Oral Health Status." Journal of the Canadian Dental Association. Vol. 79. December

Ye, Ming, Jeremy Beach, Jonahtan W. Martin and Ambikaipakan Senthilselvan. 2015a. "Associations between dietary factors and urinary concentrations of organophosphate and pyrethroid metabolites in a Canadian general population." International Journal of Hygiene and Environmental Health. Vol. 218, no. 7. October. pp. 616 to 626.

---. 2015b. "Association between Lung Function in Adults and Plasma DDT and DDE Levels Results from the Canadian Health Measures Survey." Environmental Health Perspectives. Vol. 123, no. 5. May, pages 422 to 427.

---. 2016. "Urinary dialkyl phosphate concentrations and lung function parameters in adolescents and adults: Results from the Canadian Health Measures Survey." Environmental Health Perspectives. Vol. 124, no. 4. April. pp. 491 to 497.

---. 2017. "Pesticide exposures and respiratory health in general populations." Journal of Environmental Sciences. Vol. 51. January. pp. 361 to 370.

Zinck, John, Margaret de Groh and Amanda MacFarlane. 2015. "Genetic modifiers of folate, vitamin B-12, and homocysteine status in a cross-sectional study of the Canadian population." The American Journal of Clinical Nutrition. Vol. 202, no. 6.

Zuk, Aleksandra, Carlos Quiñonez, Michael Lebenbaum and Laura C. Rosella. 2017. "The association between undiagnosed glycaemic abnormalities and cardiometabolic risk factors with periodontitis: results from 2007-2009 Canadian Health Measures Survey." Journal of Clinical Periodontology. Vol. 44, no. 2. December. pp. 132 to 141.

Cycle 2 (2009 to 2011)

Health at a Glance articles

Janz, Teresa and Caryn Pearson. 2013. "Vitamin D blood levels of Canadians." Health at a Glance. January 10. Statistics Canada Catalogue no. 82-624-X.

Health Reports articles

Cooper, Marcia, Linda Greene-Finestone, Hélène Lowell, Johanne Levesque and Stacey Robinson. 2012. "Iron sufficiency of Canadians." Health Reports. Vol. 23, no. 4. December. Statistics Canada Catalogue no. 82-003-X. pp. 41 to 48.

Patry-Parisien, Jennifer, Jiping Zhu and Suzy L. Wong. 2013. "Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey." Health Reports. Vol. 24, no. 5. May. Statistics Canada Catalogue no. 82-003-X. pp. 3 to 10.

Patry-Parisien, Jennifer, Margot Shields and Shirley Bryan. 2012. "Comparison of waist circumference using the World Health Organization and National Institutes of Health protocols." Health Reports. Vol. 23, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 53 to 60.

Roberts, Karen C., Margot Shields, Margaret de Groh, Alfred Aziz and Jo-Anne Gilbert. 2012. "Overweight and obesity in children and adolescents: Results from the 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 23, no. 3. September. Statistics Canada Catalogue no. 82-003-X. pp. 37 to 41.

Rotermann, Michelle, Kellie A. Langlois, Alberto Severini and Stephanie Totten. 2013. " Prevalence of Chlamydia trachomatis and herpes simplex virus type 2: Results from the 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 24, no. 4. April. Statistics Canada Catalogue no. 82-003-X. pp. 10 to 15.

Wheeler, Amanda J., Suzy L. Wong, Cheryl Khoury and Jiping Zhu. 2013. "Predictors of indoor BTEX concentrations in Canadian residences." Health Reports. Vol. 24, no. 5. May. Statistics Canada Catalogue no. 82-003-X. pp. 11 to 17.

The Daily releases

Statistics Canada. 2012a. "Canadian Health Measures Survey: Household and physical measures data, 2009 to 2011." The Daily. September 20. Statistics Canada Catalogue no. 11-001-X.

---. 2012b. "Canadian Health Measures Survey: Select laboratory, activity monitor and indoor air data, 2009 to 2011." The Daily. November 21. Statistics Canada Catalogue no. 11-001-X.

---. 2012c. "Canadian Health Measures Survey: Fact sheets and tables related to select laboratory data, 2009 to 2011." The Daily. November 29. Statistics Canada Catalogue no. 11-001-X.

---. 2013a. "Study: Vitamin D blood levels of Canadians, 2009-2011." The Daily. January 10. Statistics Canada Catalogue no. 11-001-X.

---. 2013b. "Canadian Health Measures Survey: Laboratory environmental data, 2009 to 2011." The Daily. April 17. Statistics Canada Catalogue no. 11-001-X.

Health fact sheets

---. 2012d. "Aerobic fitness of Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012e. "Blood pressure of Canadian adults, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012f. "Blood pressure of Canadian children and youth, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012g. "Body composition of Canadian adults, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012h. "Body mass index of Canadian children and youth, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012i. "Chronic obstructive pulmonary disease in Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012j. "Muscular strength of Canadians, 2009 to 2011." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012k. "Cholesterol levels of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012l. "Iodine status of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012m. "Iron sufficiency of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012n. "Metabolic syndrome in Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

---. 2012o. "Vitamin B12 status of Canadians, 2009 to 2011." Health Fact Sheets. November 29. Statistics Canada Catalogue no. 82-625-X.

---. 2013c. "Bisphenol A concentrations in Canadians, 2009 to 2011." Health Fact Sheets. April 17. Statistics Canada Catalogue no. 82-625-X.

---. 2013d. "Blood lead concentrations in Canadians, 2009 to 2011." Health Fact Sheets. April 17. Statistics Canada Catalogue no. 82-625-X.

Data tables

---. 2012p. Canadian Health Measures Survey: Cycle 2 Data Tables, 2009 to 2011 (table). Statistics Canada Catalogue no. 82-626-X. Ottawa, Ontario. 80 p.

External articles and publications

Asada, Yukiko, Jeremiah Hurley, Michel Grignon and Susan Kirkland. 2018. "Health inequalities and inequities by age: Stability for the Health Utilities Index and divergence for the Frailty Index." Social Science and Medicine - Population Health. Vol. 5. August. pp. 17 to 32.

Aylward, Lesa L., Stephanie Hays, Anne Vézina, Michelle Deveau, Annie St-Amand and A.B. Nong. 2015. "Biomonitoring Equivalents for interpretation of urinary fluoride." Regulatory Toxicology and Pharmacology. Vol. 72, no. 1. April. pp. 158 to 167.

Betancourt, Marisol T, K.C. Roberts, T-L Bennett, E.R. Driscoll, G. Jayaraman and L. Pelletier. 2014. "Monitoring chronic diseases in Canada: the chronic diseases indicator framework." Chronic diseases and injuries in Canada. Vol. 34, no.1. February. 34 p.

Cakmak, Sabit and Bob Dales. 2018. "The associations between phthalate exposure and insulin resistance, β-cell function and blood glucose control in a population-based sample." Science of the Total Environment. Vol. 612, no. 15. January. pp. 1287-1292.

Health Canada. 2013. Second report on human biomonitoring of environmental chemicals in Canada: Results of the Canadian Health Measures Survey Cycle 2 (2009- 2011). Ottawa, Ontario. Minister of Health. 434 p.

Jayawardene, Innocent F., Jean-Francois Paradis, Stephane Belisle, Devika Poddalgoda, Sabit Cakmak, Marie-Pier Lafontaine, Noureen Lalji and Robert Dales. 2018. "Approches pour résoudre les problématiques rencontrées au cours du développement et de l'adaptation d'une méthode pour l'analyses de trace de douze éléments chimiques dans le sang par ICP-MS." Health Canada.

Jayawardene, Innocent F., Kristin Macey, Jean-Francois Paradis, Stephane Belisle, Devika Poddalgoda, Sabit Cakmak, Marie-Pier Lafontaine, Noureen Lalji and Robert Dales. 2018. "Accessing Biobanks to Obtain Human Biomonitoring Data." Environmental Health Perspectives.

Jee, Penny, Lois Fernandez, Sherry L. Perkins and Stephen P.J. Brooks. 2014. "Effect of storage and repeated freeze/thaw on (S) vitamin B12." Clinical Biochemistry. Vol. 47, no. 18. December. pp. 344.

Katz, Sherri, Jean-Philippe Vaccani, Janine Clarke, Lynda Hoey, Rachel C. Coley and Nicholas J. Barrowman. 2014. "Creation of a reference dataset of neck sizes in children: standardizing a potential new tool for prediction of obesity-associated diseases?" BioMed Central. Vol. 14, no. 23. June.

MacFarlane, Amanda J., Yipu Shi and Linda S. Greene-Finestone. 2014. "High dose compared to low dose vitamin B12 supplement use is not associated with higher vitamin B12 status in children, adolescents and older adults." The Journal of Nutrition. Vol. 144, no. 6. June. pp. 915 to 920.

MacPherson, M., M. de Groh, L. Loukine, D. Prud'homme and L. Dubois. 2016. "Prevalence of metabolic syndrome and its risk factors in Canadian children and adolescents: Canadian Health Measures Survey Cycle 1 (2007-2009) and Cycle 2 (2009-2011)." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 36, no. 2. February. pp. 32 to 40.

McLaren, Lindsay. 2016. "Fluoridation exposure status based on location of data collection in the Canadian Health Measures Survey: Is it valid?" Journal of the Canadian Dental Association. Vol. 82, no. g17. pp. 1 to 7.

Ontario Agency for Health Protection and Promotion (Public Health Ontario). "Child and youth health data sources project: summary of processes and findings." Toronto, ON: Queen's Printer for Ontario; 2015.

Parent, Marianne. 2018. "An exposure assessment study of volatile organic compounds (VOCs) in residential indoor environment using the Canadian Health Measures Survey (Cycle 2: 2009-2011) and a multi-receptors based approach." Department of Community Health and Epidemiology. Halifax, NS: Dalhousie University.

Roberts, Karen C. and G. Jayaraman. 2014. "Childhood Obesity – FPT Framework." Shi, Yipu, Margaret de Groh and Amanda J. MacFarlane. 2014. "Sociodemographic and lifestyle factors associated with folate status among non-supplement-consuming Canadian women of child-bearing age." Canadian Journal of Public Health. Vol 105, no. 3. pp. e166 to e171.

Tai, Xiaochen and Yue Chen. 2016. "Urinary bisphenol A concentrations positively associated with glycated hemoglobin and other indicators of diabetes in Canadian men." Environmental Research. Vol. 147. May. pp. 172 to 178.

Thakkar, Niels, Veronica Jamnik and Chris I. Ardern. 2018. "Cross-associations between physical activity and sedentary time on metabolic health: a comparative assessment using self-reported and objectively measured activity." Journal of Public Health. Vol. 40, no. 4. December. pp. e464 to e473.

Zhu, Jiping, Suzy L. Wong and Sabit Cakmak. 2013. "Nationally representative levels of selected volatile organic compounds in Canadian residential indoor air: Population- based survey." Environmental Science & Technology. Vol. 47, no. 23. October. pp. 13276 to 13283.

Cycle 3 (2012 to 2013)

Health Reports articles

Feder, Katya, David Michaud, Pamela Ramage-Morin, James McNamee and Yves Beauregard. 2015. " Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. pp. 18 to 25.

Langlois, Kelli, Marcia Cooper and Cynthia K. Colapinto. 2016. "Vitamin C status of Canadian adults: Findings from the 2012/2013 Canadian Health Measures Survey." Health Reports. Vol. 27, no. 5. May. Statistics Canada Catalogue no. 82-003-X. 8 p.

Larouche, Richard, Didier Garriguet, Katie E. Gunnell, Gary S. Goldfield and Mark S. Tremblay. 2016. "Outdoor time, physical activity, sedentary time, and health indicators at ages 7 to 14: 2012/2013 Canadian Health Measures Survey." Health Reports. Vol. 27, no. 9. September. Statistics Canada Catalogue no. 82-003-X. 11 p.

The Daily releases

Statistics Canada. 2014a. "Canadian Health Measures Survey: Household and physical masures data, 2012 to 2013." The Daily. October 29. Statistics Canada Catalogue no. 11-001-X.

---. 2014b. "Canadian Health Measures Survey: Selected laboratory and activity monitor data, 2012 and 2013." The Daily. December 16. Statistics Canada Catalogue no. 11-001-X.

---. 2015a. "Canadian Health Measures Survey: Directly measured physical activity of Canadians, 2012 and 2013." The Daily. February 18. Statistics Canada Catalogue no. 11-001-X.

---. 2015b. "Canadian Health Measures Suvey: Hearing loss of Canadians, 2012 and 2013." The Daily. April 15. Statistics Canada Catalogue no. 11-001-X.

---. 2015c. "Canadian Health Measures Survey: Laboratory environmental data, 2012 and 2013." The Daily. July 15. Statistics Canada Catalogue no. 11-001-X.

---. 2015d. "Canadian Health Measures Survey: Indoor air volatile organic compound data 2012 and 2013." The Daily. September 16. Statistics Canada Catalogue no. 11-001-X.

---. 2015e. "Canadian Health Measures Survey: Medication use and nutrient intake, 2012 and 2013." The Daily. October 20. Statistics Canada Catalogue no. 11-001-X.

Health fact sheets

---. 2014c. "Body composition of adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2014d. "Body mass index of children and youth, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2014e. "Blood pressure of adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2014f. "Blood pressure of children and youth, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2014g. "Chronic obstructive pulmonary disease in adults, 2012 to 2013." Health Fact Sheets. October 29. Statistics Canada Catalogue no. 82-625-X.

---. 2014h. "Cholesterol levels of adults, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

---. 2014i. "Metabolic syndrome in adults, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

---. 2014j. "Vitamin D levels of Canadians, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

---. 2014k. "Vitamin C levels of Canadians, 2012 to 2013." Health Fact Sheets. December 16. Statistics Canada Catalogue no. 82-625-X.

---. 2015f. "Directly measured physical activity of adults, 2012 and 2013." Health Fact Sheets. February 18. Statistics Canada Catalogue no. 82-625-X.

---. 2015g. "Directly measured physical activity of children and youth, 2012 and 2013." Health Fact Sheets. February 18. Statistics Canada Catalogue no. 82-625-X.

---. 2015h. "Hearing loss of Canadians, 2012 and 2013." Health Fact Sheets. April 15. Statistics Canada Catalogue no. 82-625-X.

---. 2015i. "Tobacco use of Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X.

---. 2015j. "Lead, mercury and cadmium concentrations in Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X.

---. 2015k. "Bisphenol A concentrations in Canadians, 2012 and 2013." Health Fact Sheets. July 15. Statistics Canada Catalogue no. 82-625-X.

---. 2015l. "Omega-3 fatty acid levels of adults, 2012 and 2013." Health Fact Sheets. November 18. Statistics Canada Catalogue no. 82-625-X.

External Releases

Brooks, Stephen, L. Green-Finestone, and S. Whiting. 2017. "An Analysis of Factors Associated with 25-Hydroxyvitamin D Levels in White and Non-White Canadians." Journal of AOAC International. Vol 100, no. 5. October. pp. 1345-1354.

Czoli, Christine D. and David Hammond. 2018. "Carcinogen exposure among Canadian tobacco users: Changes in NNK Exposure from 2007–2009 through 2012–2013." Cancer Epidemiology, Biomarkers and Prevention. Vol. 27, no. 3. March. pp. 262 to 267.

Feder, Katya, David Michaud, Yves Beauregard; Elizabeth Fitzpatrick, James McNamee, Hugh Davies, Tony Leroux. 2017. "Prevalence of hazardous occupational noise exposure, hearing loss, and hearing protection usage among a representative sample of working Canadians." Journal of Occupational and Environmental Medicine. Vol. 59, no. 1. pp. 92-113.

Fleet, Kristen. 2017. "Proinflammatory food consumption and chronic kidney disease in a Canadian nationally representative sample." Human Nutritional Sciences. Winnipeg, MB: University of Manitoba.

Jones, Amanda C., J. Lennert Veerman and David Hammond. 2017. "The health and economic impact of a tax on sugary drinks in Canada." Waterloo, ON: Canadian Cancer Society, Diabetes Canada, Childhood Obesity Foundation, Chronic Disease Prevention A.

Levy, Emile, Mariia Samoilenko, Sophia Morel, Jade England, Devendra Amre, Laurence Bertout, Simon Drouin, Caroline Laverdière, Maja Krajinovic, Daniel Sinnett, Geneviève Lefebvre and Valérie Marcil. 2017. "Cardiometabolic risk factors in childhood, adolescent and young adult survivors of acute lymphoblastic leukemia - A Petale cohort." Scientific Reports. Vol 7. December. pp. 1 to 9.

Malin, Ashley, Julie Riddell, Hugh McCague and Christine Till. 2018. "Fluoride exposure and thyroid function among adults living in Canada: Effect modification by iodine status." Environment International. Vol. 121, no. 1. December. pp. 667 to 674.

Munasinghe, Lalani L., Noreen Willows, Yan Yuan and Paul J Veugelers. 2015. "The prevalence and determinants of use of vitamin D supplements among children in Alberta, Canada: A cross-sectional study." BMC Public Health. Vol. 15, no. 1. pp. 1 to 7.

Munasinghe, Lalani L., Yan Yuan, Noreen D. Willows, Erin L. Faught, John P. Ekwaru and Paul J. Veugelers. 2017. "Vitamin D deficiency and sufficiency among Canadian children residing at high latitude following the revision of the RDA of vitamin D intake in 2010." British Journal of Nutrition. Vol. 117, no. 3. March. pp. 457 to 465.

ParticipACTION. 2016. "Are Canadian Kids Too Tired to Move?" The 2016 ParticipACTION Report Card on Physical Activity for Children and Youth. Vol. 16. June.

Statistics Canada's Canadian Health Measures Survey Team. 2015. "The Canadian Health Measures Survey: A Source of Nationally Representative Hearing Data." Communiqué. August.

Data tables

Statistics Canada. Anthropometry measures of the household population (table). CANSIM (database).

Cycle 4 (2014 to 2015)

Health Reports articles

Colley, Rachel C., Gregory Butler, Didier Garriguet, Stephanie A. Prince and Karen C. Roberts. 2018. "Comparison of self-reported and accelerometer-measured physical activity in Canadian adults." Health Reports. Vol. 29, no. 12. December. Statistics Canada Catalogue no. 82-003-X. 13 p.

Health fact sheets

Statistics Canada. 2018a. "Inorganic-related arsenic concentrations in Canadians, 2014 and 2015." Health Fact Sheets. February 22. Statistics Canada Catalogue no. 82-625- X.

---. 2018b. "Parabens concentrations in Canadians, 2014 and 2015." Health Fact Sheets. February 22. Statistics Canada Catalogue no. 82-625-X.

Internal Publications

2018c. "Concentrations of selected environmental chemicals adjusted for creatinine in the Canadian population." Statistics Canada Catalogue no. 82-627-X.

External articles and publications

Bertinato, Jesse, Kuan Chiao Wang and Stephen Hayward. 2017. "Serum Magnesium Concentrations in the Canadian Population and Associations with Diabetes, Glycemic Regulation, and Insulin Resistance." Nutrients. Vol. 9, no. 3. March. 13 p.

Cycle 5 (2016 to 2017)

Daily

Statistics Canada. 2018a. "Canadian Health Measures Survey: Household and physical measures data, 2016 and 2017." The Daily. October 24.

Statistics Canada. 2019a. "Canadian Health Measures Survey: Non-environmental laboratory and medication data, 2016 and 2017." The Daily. February 6. Statistics Canada Catalogue no. 11-001-X.

Statistics Canada. 2019b. "Blood pressure, hypertension and leading risk factors" The Daily. February 20.

Statistics Canada. 2019c. "Tracking physical activity levels of Canadians, 2016 and 2017." The Daily. April 17.

Statistics Canada. 2019d. "Canadian Health Measures Survey: Vision data data, 2016 and 2017" The Daily. October 2.

Statistics Canada. 2019e. "Canadian Health Measures Survey: Environmental laboratory data, 2016 and 2017" The Daily. November 13.

Statistics Canada. 2020a. "Canadian Health Measures Survey: Cycles 1, 3 and 4 (2007-2009, 2012-2013 and 2014-2015) pooled serum data files" The Daily, June 3, 2020.

Health Fact Sheets

"Sleep Apnea in Canada, 2016 and 2017." Health Fact Sheets. October 24. Statistics Canada Catalogue number 82-625-X).

"Physical activity and screen time among Canadian children and youth, 2016 and 2017" Health Fact Sheets. April 17. Statistics Canada (Catalogue number 82-625-X.

Health Reports Articles

Bushnik, Tracey; Clarke, Janine; Deguire, Jason; Rouleau, Kaitlyn; Roy, Joel. "Blood pressure and hypertension." Health Reports. Vol. 30, no. 2 (82-003-X). February 2019. Statistics Canada Catalogue no. 82-003-X201900200002.

Bushnik, Tracey; Hennessy, Deirdre; Leung, Alexander A.; Manuel, Doug; McAlister, Finlay A. "Risk factors for hypertension in Canada". Health Reports. Vol. 30, no. 2 (82-003-X). February. Statistics Canada Catalogue no. 82-003-X201900200002.

Carson, V., Langlois. K., and Colley, R. "Assocations between parent and child sedentary behaviour and physical activity in early childhood". Health Reports. (82-003-X). February 2020. Statistics Canada Catalogue no. 82-003X.

Data Tables

"Distribution of household population by vision status sex and age group". Table: 13100754-01, October 2, 2019.

"Overweight and obesity based on measured body mass index, by age group and sex". Table: 13-10-0324-01, October 16, 2019.

"Physical fitness measures of the household population". Table: 13-10-0324-01, October 16, 2019.

Infographics

"Obesity in Canadian Adults, 2016 and 2017." Infographics. October 24. Statistics Canada – (Catalogue number11-627-M).

"Hypertension: Prevalence and leading risk factors." Infographics. February 20. Statistics Canada – (Catalogue number11-627-M).

"Lead and bisphenol A (BPA) concentrations in the Canadian population," Infographics. November 13. (Catalogue number11-627-M).

Cycles 1 and 2 combined (2007 to 2011)

Health at a Glance articles

Clarke, Janine, Victoria Higgins and Khosrow Adeli. 2016. "Understanding your health by using reference ranges." Health at a glance. June. Statistics Canada Catalogue no.82-624-X. 6 p.

Health Reports articles

Bushnik, Tracey, Patrick Levallois, Monique D'Amour, Todd J. Anderson and Finlay A. McAlister. 2014. "Association between blood lead and blood pressure: Results from the Canadian Health Measures Survey (2007 to 2011)." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. 13 p.

Findlay, Leanne and Dafna Kohen. 2015. "Bisphenol A and child and youth behaviour: Canadian Health Measures Survey 2007 to 2011." Health Reports. Vol. 26, no. 08. August. Statistics Canada Catalogue no. 82-003-X.

Fowles, Jonathon, Joel Roy, Janine Clarke and Shilpa Dogra. 2014. "Are the fittest Canadian adults also the healthiest?" Health Reports. Vol. 25, no. 5. May. Statistics Canada Catalogue no. 82-003-X. 8 p.

Garner, Rochelle and Patrick Levallois. 2016. "Cadmium levels and sources of exposure among Canadian adults." Health Reports. Vol. 27, no. 2. February. Statistics Canada Catalogue no. 82-003-X. 9 p.

Garriguet, Didier and Rachel C. Colley. 2014. "A comparison of self-reported leisure- time physical activity and measured moderate to vigorous physical activity in adolescents and adults." Health Reports. Vol. 25, no. 7. July. Statistics Canada Catalogue no. 82-003-X. 11 p.

Hennessy, Deirdre A., Peter Tanuseputro, Meltem Tuna, Carol Bennett, Richard Perez, Margot Shields, Dennis T. Ko, Jack Tu and Douglas G. Manuel. 2016. "Population health impact of statin treatment in Canada." Health Reports. Vol. 27, no. 1. January. Statistics Canada Catalogue no. 82-003-X. 9 p.

Larouche, Richard, Guy Faulkner and Mark S. Tremblay. 2016a. "Active travel and adults' health: The 2007-2011 Canadian Health Measures Surveys." Health Reports. Vol. 27, no. 4. April. Statistics Canada Catalogue no. 82-003-X.

---. 2016b. "Active travel and adults' health: Canadian Health Measures Survey 2007 to 2011." Health Reports. Vol. 27, no. 4. April. Statistics Canada Catalogue no. 82-003-X. 9 p.

Ng, Edward. 2015. "Canadian Health Measures Survey: A tool for immigrant health research?" Health Reports. Vol. 26, no. 3. March. Statistics Canada Catalogue no. 82-003-X. 9 p.

Rotermann, Michelle, Claudia Sanmartin, Deirdre Hennessy and Michele Arthur. 2014. "Prescription medication use by Candians aged 6 to 79." Health Reports. Vol. 25, no. 6. June. Statistics Canada Catalogue no. 82-003-X. 9 p.

Rotermann, Michelle, Kellie Langlois, Anton Andonov and Maxim Trubnikov. 2013. "Seroprevalence of hepatitis B and C virus infections: Results from the 2007 to 2009 and 2009 to 2011 Canadian Health Measures Survey." Health Reports. Vol. 24, no. 11. November. Statistics Canada Catalogue no. 82-003-X. pp. 3 to 13.

Wong, Suzy L., Allan L. Coates and Teresa To. 2016. "Exposure to industrial air pullutant emissions and lung function in children: Canadian Health Measures Survey, 2007 to 2011."Health Reports. Vol. 27, no. 2. February. Statistics Canada Catalogue no. 82-003-X. 7 p.

The Daily releases

Statistics Canada. 2013d. "Canadian Health Measures Survey: Directly measured physical activity of Canadians, 2007 to 2011." The Daily. May 30. Statistics Canada Catalogue no. 11-001-X.

Health fact sheets

---. 2013e. "Directly measured physical activity of Canadian adults, 2007 to 2011." Health Fact Sheets. May 30. Statistics Canada Catalogue no. 82-625-X.

---. 2013f. "Directly measured physical activity of Canadian children and youth, 2007 to 2011." Health Fact Sheets. May 30. Statistics Canada Catalogue no. 82-625-X.

External articles and publications

Adeli, Khosrow, Victoria Higgins, Michelle Nieuwesteegl, Joshua Raizman, Yungi Chen, Suzy Wong and David Blais. 2015. "Biochemical Marker Reference Values across Pediatric, Adult, and Geriatric Ages: Establishment of Robust Pediatric and Adult Reference Intervals on the Basis of the Canadian Health Measures Survey." Clinical Chemistry. Vol. 61, no. 8. August.

Adeli, Khosrow, Victoria Higgins, Michelle Nieuwesteegl, Joshua Raizman, Yungi Chen, Suzy Wong, David Blais and M. Abdelhaleem. 2015a. "Complex biological profile of hematologic markers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey." Clinical Chemistry. Vol. 61, no. 8. August. pp. 1075 to 1086.

---. 2015b. "Complex reference values for endocrine and special chemistry biomarkers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey." Clinical Chemistry. Vol. 61, no. 8. August. pp. 1063 to 1074.

Aranda-Rodriquez, Rocio, Ashley Cabecinha, Jeromy Harvie, Zhiyun Jin, Axelle Marchand, Robert Tardif, Andy Nong and Sami Haddad. 2015. "A method for quantification of volatile organic compounds in blood by SPME-GC-MS/MS with broader application: From non-occupational exposure population to exposure studies."Journal of Chromatography B. Vol. 992. June. pp. 76 to 85.

Ata, Nicole. 2014. "Cardiovascular disease risk factors in Canadian-born and immigrant children and youth in the Canadian Health Measures Survey." Department of Public Health Sciences, Edmonton, AB: University of Alberta.

Betancourt, Marisol T., K.C. Roberts, T-L Bennett, E.R. Driscoll and G. Jayaraman. 2014. "Monitoring Chronic Diseases in Canada: Chronic Disease Indicator Framework." Chronic Diseases and Injuries in Canada. Vol. 34, no. 1. February.

Billette, Jean-Michel. 2013. "Obesity in Canada: how survey data can inform public policy."

Carson, Valerie, Suzy Wong, E. Winkler, G.N. Healy, R. C. Colley and Mark S. Tremblay. 2014. "Patterns of sedentary time and cardiometabolic risk among Canadian adults." Preventative Medicine. Vol. 65, no. 23. August. pp 23 to 27.

Chao, Yi-Sheng, Hsing-Chien Wu, Chao-Jung Wu and Wei-Chih Chen. 2018. "Stages of biological development across Age: An analysis of Canadian Health Measure Survey 2007–2011." Frontiers in Public Health. Vol. 5, no. 355. January. pp. 1 to 9.

Clarke, Janine J. Roy, J. Fowles and S. Dogra. 2013. "Should qualified exercise professionals measure skinfolds when assessing health-related fitness in the general population?" Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 10. October. pp. 1032.

Clarke, Janine and Ian Janssen. 2013. "Is the frequency of weekly moderate-to- vigorous physical activity associated with the metabolic syndrome in Canadian adults?" Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 7. July. pp. 773 to 778.

Coates, Allan L., Suzy L. Wong, Christopher Tremblay and John L. Hankinson. 2016. "Reference Equations for Spirometry in the Canadian Population." Annals of the American Thoracic Society. Vol. 13, no. 6. June. pp. 833 to 841.

Coonghe, Warnakulasuriya Verginia Lalantha. 2018. "Respiratory health and occupations among Canadian adolescents and adults." School of Public Health. Edmonton, AB: University of Alberta.

Copeland, Jennifer L., Janine Clarke and Shilpa Dogra. 2015. "Objectively measured and self-reported sedentary time in older Canadians." Preventive Medicine Reports. Vol. 2. pp. 90 to 95.

Do, Minh T., Vicky C. Chang, Michelle A. Mendez and Margaret de Groh. 2017. "Urinary bisphenol A and obesity in adults: results from the Canadian Health Measures Survey." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 37, no. 12. December.

Dogra, Shilpa, Janine Clarke, Joel Roy and Jonathan Fowles. 2015. "BMI-specific waist circumference is better than skinfolds for health-risk determination in the general population." Applied Physiology, Nutrition and Metabolism. Vol. 40, no. 2. pp. 134 to 141.

Feder, Katya Polena, David Michaud, James McNamee, Elizabeth Fitzpatrick, Pamela Ramage-Morin and Yves Beauregards. 2017. "Prevalence of Hearing Loss Among a Representative Sample of Canadian Children and Adolescents, 3 to 19 Years of age." Ear and Hearing. Vol. 36, no. 1. January. pp. 7 to 20.

Gaston, Anca, Amy Doelman, Sarah A. Edwards and Jo Ann Tober. 2014. "The impact of parenthood on Canadians' objectively measured physical activity." BMC Public Health. Vol. 14, no. 1127. November.

Greene-Finestone, L. S., D. Garriguet, S. P. J. Brooks, K. Langlois and S. J. Whiting. 2017. "Overweight and obesity are associated with lower vitamin D status in Canadian children and adolescents." Paediatrics & Child Health. Vol. 22, no. 8. December. pp. 438 to 444.

Gunaratna, Hasantha. 2018. "Hepatitis B vaccination coverage among foreign-born Canadians: Data from the Community Health Measures Survey." Department of Community Health Sciences. Winnipeg, MB: University of Manitoba.

Hosseini, Zeinab, Susan J. Whiting and Hassan Vatanparast. 2019. "Canadians' Dietary Intake from 2007 to 2011 and across Different Sociodemographic/Lifestyle Factors Using the Canadian Health Measures Survey Cycles 1 and 2." Journal of Nutrition and Metabolism. Vol. 2019. February. 80p.

Hu, Xue Feng and Hing Man Chan. 2018. "Factors associated with the blood and urinary selenium concentrations in the Canadian population: Results of the Canadian Health Measures Survey (2007-2011)." International Journal of Hygiene and Environmental Health. Vol. 221, no. 7. August. pp. 1023 to 1031.

Jackson, B. and P. Huston. 2016 "Commentary – Advancing health equity to improve health: the time is now." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 36, no. 2. February. pp. 17 to 20.

Kuhle, Stefan, Bryan Maguire, Nicole Ata and David Hamilton. 2015. "Percentile curves for anthropometric measures for Canadian children and youth." PLoS ONE. Vol. 10, no. 7. pp. 1 to 16.

Kuhle, Stefan, Jillian Ashley-Martin, Bryan Maguire and David C. Hamilton. 2016. "Percentile curves for skinfold thickness for Canadian children and youth." PeerJ. Vol. 4. July. pp. 1 to 22.

Kuhle, Stefan, Nicole Ata, Bryan Maguire, Natasha MacInnis and Linda Dodds. 2017. "Birth weight for gestational age, anthropometric measures, and cardiovascular disease markers in children." Journal of Pediatrics. Vol. 182. March. pp. 99 to 106.

Langlois, É, G. Saravanabhavan G, T.E. Arbuckle and S. Giroux. 2014. "Correction and comparability of phthalate metabolite measurements of Canadian biomonitoring studies (2007-2012)." Environment International. Vol. 64. March. pp. 129 to 133.

Levallois, Patrick, Alhadji Anassour-Laouan, Sidi,Pierre Ayotte. 2018. "Exposition à l'arsenic et prevalence du diabète de type 2 dans l'Enquête canadienne sur les mesures de la santé – Rapport de recherche." Institut national de santé publique. February.

MacPherson, M., Margaret de Groh, L. Loukine, D. Prud'homme and L. Dubois. 2016. "Release notice – Strengthening the evidence base on social determinants of health: measuring everyday discrimination through a CCHS rapid response module." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 36, no. 2. February. p. 41.

Neil-Sztramko, Sarah E., Carolyn C. Gotay, Paul A. Demers and Kristin L. Campbell. 2016. "Physical activity, physical fitness, and body composition of Canadian shift workers: Data from the Canadian Health Measures Survey cycles 1 and 2." Journal of Occupational and Environmental Medicine. Vol. 58, no. 1. January. pp. 94 to 100.

Ngueta, Gerard. 2016. "Assessing the influence of age and ethnicity on the association between iron status and blood lead concentration in blood: Results from the Canadian Health Measures Survey (2007-2011)." Biological Trace Element Research. Vol. 171, no. 2. pp. 301 to 307.

Ngueta, Gerard and André Pascal Kengne. 2017. "Low-Level environmental lead exposure and dysglycemia in adult individuals: Results from the Canadian Health and Measure Survey 2007–2011." Biological Trace Element Research. Vol. 175, no. 2. February. pp. 278 to 286.

Nguyen, Hai V. and Paul Grootendorst. 2014. "Does the child fitness tax credit make children more active?"

Perks, Thomas Alexander. 2015. "Obesity and its relation to employment income: Does the bias in self-reported BMI matter?" Canadian Studies in Population. Vol. 42, no. 3-4. pp. 39 to 48.

Proceedings of the Canadian Society for Exercise Physiology Annual General Meeting. 2013. "Extreme Human Physiology: From Pathology to Performance." Applied Physiology, Nutrition, and Metabolism. October

Public Health Agency of Canada. 2016. "Other PHAC publications." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 36, no. 2. February. pp. 42.

Rao, Deepa Prema. 2016. "Metabolic syndrome and chronic disease in Canada: The role of material, psychosocial, and behavioural factors."

Department of Population Health. Ottawa, ON: University of Ottawa.

Rao, Deepa P., Heather Orpana and Daniel Krewski. 2016. "Physical activity and non- movement behaviours: Their independent and combined associations with metabolic syndrome." International Journal of Behavioral Nutrition and Physical Activity. Vol. 13, no. 26. pp. 1 to 11.

Rodd, Celia, Allison Feely, Allison Dart, Atul Sharma and Jon McGavock. 2018. "Biological and socioeconomic determinants of prediabetes in youth: An analysis using 2007 to 2011 Canadian Health Measures Surveys." Pediatric Research. Vol. 84, no. 2. pp. 248 to 253.

Rowe, Ashley. 2015. "The relationship between body composition and lung function, and the effect of physical fitness." Department of Epidemiology. Halifax, NS: Dalhousie University.

Rowe, Ashley, P. Hernandez, S. Kuhle and S. Kirkland. 2017. "The association between anthropometric measures and lung function in a population-based study of Canadian adults." Respiratory Medicine. Vol. 131. October. pp. 199 to 204.

Roy, J., J. Clarke, S. Dogra and J. Fowles. 2013. "The health of Canadian adults across fitness categories." Applied Physiology, Nutrition, and Metabolism. Vol. 38, no. 10. October. p. 1074.

Sarafin, Kurtis, Ramón Durazo-Arvizu, Lu Tian, Karen W. Phinney, Susan Tai, Johanna E. Camara, Joyce Merkel, Evan Green, Christopher T. Sempos and Stephen P. J. Brooks. 2015. "Standardizing 25-hydroxyvitamin D values from the Canadian Health Measures Survey." The American Journal of Clinical Nutrition. Vol. 102, no. 5. November. pp. 1044 to 1050.

Shi, Y., Margaret de Groh and C. Bancej. 2016. "Socioeconomic gradients in cardiovascular risk in Canadian children and adolescents." Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice. Vol. 36, no. 2. February. pp. 21 to 31.

St-Amand, A., K. Werry, L. Aylward, S. Hayes and A. Nong. 2014. "Screening of population level biomonitoring data from the Canadian Health Measures Survey in a risk-based context." Toxicology Letters. Vol. 232, no. 2. December. pp. 126-134.

Thielman, Justin, Heather Manson, Maria Chiu, Ray Copes and Laura C. Rosella. 2016. "Residents of highly walkable neighbourhoods in Canadian urban areas do substantially more physical activity: A cross-sectional analysis." Canadian Medical Association Journal (CMAJ) Open. Vol. 4, no. 4. pp. E720 to E728.

Cycles 1 and 3 combined (2007 to 2009, 2012 to 2013)

External articles and publications

Hu, Xue Feng, Kavita Singh, Tiff-Annie Kenny and Hing Man Chan. 2019. "Prevalence of heart attack and stroke and associated risk factors among Inuit in Canada: A comparison with the general Canadian population." International Journal of Hygiene and Environmental Health. Vol. 222, no. 2. March. pp. 319 to 326.

Munasinghe, Lalani L., Noreen D. Willows, Yan Yuan, John Paul Ekwaru and Paul J. Veugelers. 2017. "Vitamin D sufficiency of Canadian children did not improve following the 2010 revision of the dietary guidelines that recommended higher intake of vitamin D: An analysis of the Canadian Health Measures Survey." Nutrients. Vol. 9, no. 9. August. pp. 1 to 11.

Cycles 1, 2 and 3 combined (2007 to 2013)

Health Reports articles

Bushnik, Tracey, Deirdre Hennessy, Finlay A. McAlister and Douglas G. Manuel. 2018. "Bushnik, Tracey, Didier Garriguet and Rachel Colley. 2017. "Parent-Child association in body weight status." Health Reports. Vol. 28, no. 6. June. Statistics Canada catalogue no. 82-003X.

Factors associated with hypertension control among older Canadians." Health Reports. Vol. 29, no. 6. June. Statistics Canada catalogue no. 82-003X.

Garriguet, Didier. 2016. "Using a Betabinomial distribution to estimate the prevalence of adherence to physical activity guidelines among children and youth." Health Reports. Vol. 27, no. 4. April. Statistics Canada Catalogue no. 82-003-X. 7 p.

Garriguet, Didier, Tracey Bushnik and Rachel Colley. 2017. "Parent-Child association in physical activity and sedentary behaviour." Health Reports. Vol. 28, no. 6. June. Statistics Canada catalogue no. 82-003X.

Thomson, Errol, Harun Kalayci and Mike Walker. 2019. "Cumulative toll of exposure to stressors in Canada: An allostatic load profile." Health Reports. Vol. 30, no. 6. June. Statistics Canada Catalogue no. 82-003-X. pp. 14-21.

Wong, Suzy. 2016a. "Grip strength reference values for Canadians aged 6 to 79: Canadian Health Measures Survey, 2007 to 2013." Health Reports. Vol. 27, no. 10. October. Statistics Canada Catalogue no. 82-003-X. 8 p.

---. 2016b. "Reduced muscular strength among Canadians aged 60 to 79: Canadian Health Measures Survey, 2007 to 2013." Health Reports. Vol. 27, no.10. October. Statistics Canada Catalogue no. 82-003-X. 7 p.

External articles and publications

Ashley-Martin, Jillian, Regina Ensenauer, Bryan Maguire and Stefan Kuhle. 2019. "Predicting cardiometabolic markers in children using tri-ponderal mass index: a cross- sectional study." Archives of Disease in Childhood. Vol. 103, no. 6.

Ata, Nicole, Bryan Maguire, David C. Hamilton and Stefan Kuhle. 2018. "Percentile curves for cardiometabolic disease markers in Canadian children and youth: a cross- sectional study." BMC Pediatrics. Vol. 18, no. 1. September. pp. 1 to 11.

Bernard, Paquito, G. Hains-Monfette, S. Atoui and C. Kingsbury. 2018. "Differences in daily objective physical activity and sedentary time between women with self-reported fibromyalgia and controls: Results from the Canadian Health Measures Survey." Clinical Rheumatology. Vol. 37, no. 8. August. pp. 2285 to 2290.

Bernard, Paquito, G. Hains-Monfette, S. Atoui and G. Moullec. 2018. "Daily objective physical activity and sedentary time in adults with COPD using spirometry data from Canadian Measures Health Survey." Canadian Respiratory Journal. Vol. 2018. December. pp. 1 to 9.

Bernard, Paquito, Isabelle Doré, Ahmed-Jérôme Romain, Gabriel Hains-Monfette, Celia Kingsbury and Catherine Sabiston. 2018. "Dose response association of objective physical activity with mental health in a representative national sample of adults: A cross-sectional study." PLoS ONE. Vol. 13, no. 10. October. pp. 1 to 16.

Carson, Valerie, Jean-Philippe Chaput, Ian Janssen and Mark S. Tremblay. 2017. "Health associations with meeting new 24-hour movement guidelines for Canadian children and youth," Preventive Medicine. Vol 95. February. pp. 7 to 13.

Carson, Valerie, Mark S. Tremblay, Jean-Philippe Chaput and Sebastien F. M Chastin. 2016. "Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses." Applied Physiology, Nutrition, and Metabolism. Vol. 41, no. 6. June. pp. S294 to S302.

Chao, Yi-Sheng, Chao-Jung Wu, Hsing-Chien Wu and Wei-Chih Chen. 2018. "Principal component approximation and interpretation in health survey and biobank data." Frontiers in Digital Humanities. Vol. 5, no. 11.

Chu, Filmer, Arto Ohinmaa, Scott Klarenbach, Zing-Wae Wong and Paul Veugeler. 2017. "Serum 25-Hydroxyvitamin D concentrations and indicators of mental health: An analysis of the Canadian Health Measures Survey." Nutrients. Vol. 9, no. 10. October. pp. 1116 to 1123.

Garner, Rochelle and Patrick Levallois. 2017 "Associations between cadmium levels in blood and urine, blood pressure and hypertension among Canadian adults." Environmental Research. Vol. 155. May. pp. 64 to 72.

Gibson, Deborah. 2015. "Nutrition Biomarkers, Cycle 1 – Canadian Health measures Survey – Food and Nutrition Surveilance – Health Canada." Health Canada.

Gravel, Sabrina, Jérôme Lavoué and France Labrèche. 2017. "Industry, occupation and sex differences in workers' exposure to endocrine disrupting metals in an American and a Canadian survey." Occupational and Environmental Medicine. Vol. 74, no. 1, pp. A129.

Hains-Monfette, Gabriel, Sarah Atoui, Kelsey Dancause and Paquito Bernard. 2018. "Objectively measured physical activity and sedentary behaviors in a representative sample of Canadian adults with chronic disease(s): a cross-sectional study." Department of Physical Activity Sciences. Montréal, Québec: Université du Québec à Montréal.

Hajna, Samantha, Nancy A. Ross and Kaberi Dasgupta. 2018. "Steps, moderate-to- vigorous physical activity, and cardiometabolic profiles." Preventive Medicine. Vol. 107. February. pp. 69 to 74.

Harris, Anne, Trevor Van Ingen, Joanne Kim and Paul Demers. 2015. "Using the CHMS to explore the health effects of shift work."

Haywood, Nicole. 2018. "Physical activity, sedentary time, sleep duration, and self-rated health in older adults: A compositional analysis." Department of Public Health Sciences. Kingston, ON: Queen's University.

Hirsch, Lauren Elizabeth. 2016. "Second-generation antipsychotics and metabolic side effects in the Canadian population." Calgary, AB: University of Calgary.

Hirsch, Lauren, Scott B. Patten, Lauren Bresee, Nathalie Jetté and Tamara Pringsheim. 2018. "Second-generation antipsychotics and metabolic side-effects: Canadian population-based study." BJPsych Open. Vol. 4, no. 4. July. pp. 256 to 261.

Kehler, Dustin Scott, Thomas Ferguson, Andrew N. Stammers, Clara Bohm, Rakesh C.

Arora, Todd A. Duhamel and Navdeep Tangri. 2017. "Prevalence of frailty in Canadians 18-79 years old in the Canadian Health Measures Survey." BMC Geriatrics. Vol. 17, no. 28. pp. 1 to 8.

Khanam, Ulfat Ara. 2018. "Are dietary factors associated with lung function in Canadian adults?" Community Health and Epidemiology. Saskatoon, SK: University of Saskatchewan.

Kim, G.J., Christopher Newth, Allan Coates, Patrick Ross and Suzy Wong. 2018. "Does Size Matter When Calculating the "Correct" Tidal Volume for Pediatric Mechanical Ventilation?: A Hypothesis Based on FVC." Chest. Vol. 154, no.1. July. pp. 77 to 83.

Lamontagne, Patricia and Denis Hamel. 2016. "Surveillance du statut pondéral mesuré chez les jeunes du Québec : état de situation jusqu'en 2013." Institut national de santé publique du Québec (INSPQ).

Leung, Alexander A., Hsiu-Ju Chang, Finlay A. McAlister, Nadia A. Khan, Doreen M. Rabi, Hude Quan and Raj S. Padwal. 2018. "Applicability of the Systolic Blood Pressure Intervention Trial (SPRINT) to the Canadian population." Canadian Journal of Cardiology. Vol. 34, no. 5. May. pp. 670 to 675.

Maguire, Bryan. 2016. "Comparison of methods for growth chart construction in the Canadian Health Measures Survey." Halifax, NS: Dalhousie University.

Mudryj, Adriana N., Margaret de Groh, Harold M. Aukema and Nancy Yu. 2016. "Folate intakes from diet and supplements may place certain Canadians at risk for folic acid toxicity." British Journal of Nutrition. Vol. 116, no. 7. pp. 1236 to 1245.

Qureshi, Hena. 2017. "The economic impact of dietary sodium reduction in Canada." Cumming School of Medicine. Calgary, AB: University of Calgary.

Salami, Bukola, Maryna Yaskina, Kathleen Hegadoren, Esperanza Diaz, Salima Meherali, Anu Rammohan and Yoav Ben-Shlomo. 2017. "Migration and social determinants of mental health: Results from the Canadian Health Measures Survey." Canadian Journal of Public Health. Vol. 108, no. 4. July. pp. e362-e357.

Thielman, Justin, Daniel Harrington, Laura Rosella and Heather Manson. 2018. "Prevalence of age-specific and sex-specific overweight and obesity in Ontario and Quebec, Canada: a cross-sectional study using direct measures of height and weight." BMJ Open. Vol. 8, no. 9. pp. 1 to 8.

Cycles 2 and 3 combined (2009 to 2013)

Health Reports articles

Garriguet, Didier, Valerie Carson, Rachel C. Colley, Ian Janssen, Brian W. Timmons and Mark S. Tremblay. 2016. "Physical activity and sedentary behaviour of Canadian children aged 3 to 5." Health Reports. Vol. 27, no. 9. September. Statistics Canada Catalogue no. 82-003-X. 10 p.

External articles and publications

Barberio, Amanda M. 2016. "A Canadian population-based study of the relationship between fluoride exposure and indicators of cognitive and thyroid functioning; Implications for community water fluoridation." Calgary, AB: University of Calgary.

Barberio, Amanda M., Carlos Quiñonez, F. Shaun Hosein and Lindsay McLaren. 2017. "Fluoride exposure and reported learning disability diagnosis among Canadian children: Implications for community water fluoridation." Canadian Journal of Public Health. Vol. 108, no. 3. pp. e229 to e239.

Barberio, Amanda M., F. Shaun Hosein, Carlos Quiñonez and Lindsay McLaren. 2017. "Fluoride exposure and indicators of thyroid functioning in the Canadian population: Implications for community water fluoridation." Journal of Epidemiology and Community Health. Vol. 71, no. 10. pp. 1019 to 1025.

Carson, Valerie, Mark S. Tremblay and Sebastien F. M. Chastin. 2017. "Cross-sectional associations between sleep duration, sedentary time, physical activity and adiposity indicators among Canadian preschool children using compositional analyses." BMC Public Health. Vol. 17, no. 5. November. pp. 123 to 121.

Dales, Robert E., Sabit Cakmak, Chris Hebbern and Jasmine D. Cakmak. 2017. "The influence of polycyclic aromatic hydrocarbons on lung function in a representative sample of the Canadian population." Environmental Pollution. Vol. 228. September. pp. 1 to 7.

Juric, Amanda, Kavita Singh, Xue Feng Hu and Hing Man Chan. 2019. "Exposure to triclosan among the Canadian population: Results of the Canadian Health Measures Survey (2009–2013)." Environment International. Vol. 120. pp. 29 to 38.

Rodd, Celia and Atul K. Sharma. 2016. "Recent trends in the prevalence of overweight and obesity among Canadian children." Canadian Medical Association Journal (CMAJ). Vol. 188, no. 13. September. pp. E313 to E320.

Rodd, Celia and Atulm K. Sharma. 2017. "Prevalence of overweight and obesity in Canadian children, 2004 to 2013: Impact of socioeconomic determinants." Paediatrics and Child Health. Vol. 22, no. 3. June. pp. 153 to 158.

Cycles 3 and 4 combined (2012 to 2015)

Health Reports articles

DeGuire, Jason, Janine Clarke, Kaitlyn Rouleau, Joel Roy and Tracey Bushnik. 2019. "Blood Pressure and Hypertension in Canada." Health Reports. Vol. 30, no. 2. February. Statistics Canada Catalogue no. 82-003-X. 8 p.

Ramage-Morin, Pamela L and Marc Gosselin. 2016. "Canadians vulnerable to workplace noise." Health Reports. Vol. 29, no. 8. August. Statistics Canada Catalogue no. 82-003-X.

Ramage-Morin, Pamela L., Rex Banks, Dany Pineault and Maha Atrach. 2019. "Tinnitus in Canada." Health Reports. Vol. 30, no. 3. March. Statistics Canada Catalogue no. 82-003-X. 9 p.

Health fact sheets

Statistics Canada. 2016a. "Blood pressure of adults, 2012 to 2015." Health Fact Sheets. October 13. Statistics Canada Catalogue no. 82-625-X.

---. 2016b. "Blood pressure of children and youth, 2012 to 2015." Health Fact Sheets. October 13. Statistics Canada Catalogue no. 82-625-X.

---. 2016c. "Hearing loss of Canadians, 2012 to 2015." Health Fact Sheets. October 13. Statistics Canada Catalogue no. 82-625-X.

---. 2017. "Chronic obstructive pulmonary disease under-diagnosed in Canadian adults: Results from cycles 3 and 4 (2012 to 2015) of the Canadian Health Measures Survey." Health Fact Sheets. January 12. Statistics Canada Catalogue no. 82-625-X.

External articles and publications

Feder, Katya, David Michaud, James McNamee, Leonora Marro and Elizabeth Fitzpatrick. 2017 "Prevalence of hazardous leisure noise exposure, hearing loss and hearing protection usage among a representative sample of Canadians, aged 6 to 79." Plos One Journal. Vol. 59, no. 1. January.

Statler, Julie. 2018. "Exploring the influence of childcare enrollment on physical activity and sedentary time of a nationally representative sample of Canadian preschoolers." Health and Rehabilitation Sciences. London, ON: University of Western Ontario.

Cycles 1, 2, 3 and 4 combined (2007 to 2013)

Health Reports articles

Bushnik, Tracey, Deirdre Hennessy, Finlay A. McAlister, Alexander A. Leung and Douglas G. Manuel. 2019. "Risk Factors for Hypertension in Canada." Health Reports. Vol. 30, no. 2. February. Statistics Canada Catalogue no. 82-003-X. 11 p.

Bushnik, Tracey, Deirdre Hennessy, Finlay A. McAlister and Douglas G. Manuel. 2018. "Factors associated with hypertension control among older Canadians." Health Reports. Vol. 29, no. 6. June. Statistics Canada Catalogue no. 82-003-X. 8 p.

Michaud, Isabelle, Jean-Philippe Chaput and Suzy Wong. 2017. "Duration and quality of sleep among Canadians aged 18 to 79." Health Reports. Vol. 28, no. 9. September. Statistics Canada Catalogue no. 82-003-X.

External articles and publications

Chao, Yi-Sheng, Chao-Jung Wu, Hsing-Chien Wu and Wei-Chih Chen. 2018. "Trend analysis for national surveys: Application to all variables from the Canadian Health Measures Survey cycle 1 to 4." PLoS ONE. Vol. 13, no. 8. August. pp. 1 to 15.

St-Amand, Annie, Leonora Marro and Subramanian Karthikeyan. 2019. "Analysis of trends in the blood or urinary concentrations of BPA, Cd, Pb and Mercury in Canadians." Canadian Environmental Sustainability Indicators. January.

Cycles 1, 2, 3, 4, and 5 combined (2007 to 2017)

External articles and publications

EYKOLBOSH, Angela, Kate WERRY and Tom KOSATSKY. 2018. "Leveraging the Canadian Health Measures Survey for environmental health research" International Environment International, August

TADDEI, Christina, Rod JACKSON, Bin ZHOU, Honor BIXBY, et al. 2019. "National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio: a pooled analysis of 458 population-based studies in Asian and Western countries." International Journal of Epidemiology, July.