Statistics by subject – Lifestyle and social conditions

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All (6)

All (6) (6 of 6 results)

  • Technical products: 82-621-X2006002
    Description:

    This issue examines smoking trends from 2000/01 to 2005 for the population aged 12 or older, using data from the Canadian Community Health Survey. This issue also presents diabetes prevalence by age, sex and province or territory for the population aged 12 and over, using data from the 2005 Canadian Community Health Survey.

    Release date: 2006-06-13

  • Technical products: 82-621-X20060029226
    Description:

    This article examines smoking trends from 2000/01 to 2005 for the population aged 12 or older, using data from the Canadian Community Health Survey. Smoking prevalence is compared by age, sex and province. Proportions of the population living in households where smoking is totally banned are presented, as well as percentages of the employed population who face smoking bans at work. Exposure rates to second-hand smoke among non-smokers are examined. The article also presents estimates of these characteristics at the health region level.

    Release date: 2006-06-13

  • Technical products: 82-621-X2005001
    Description:

    This article provides estimates on the extent to which Canadians aged 12 or older feel a sense of belonging to their local community. People more likely to have a strong sense of community belonging are profiled, in terms of personal characteristics such as age and marital status, socio-economic variables such as education and income, and geographic variables such as province and health region. The relationship between community-belonging and health is studied by examining associations with self-perceived general and mental health.

    The results are based on a 6-month file that includes data collected from January to June 2005. Tables presenting information on self-rated health and mental health, body mass index, smoking, sense of community-belonging and regular medical doctor by province, health regions, age groups and sex are also available.

    Release date: 2005-12-21

  • Technical products: 11-522-X20040018739
    Description:

    For a study on smoking cessation programs, respondents were found via referrals from key informants. A challenge was tracking the calling process and keeping records of information obtained during telephone calls.

    Release date: 2005-10-27

  • Technical products: 11-522-X20020016720
    Description:

    The objective of this study was to analyse the influence of community on individual health. The new Canadian Community Health Survey (CCHS) was used to derive individual health variables for Canadian residents aged 18 or older while community-level data were obtained from the Canadian 1996 Census of Population. Weighted logistic multilevel models and principal component analysis were used to analyse these data. After controlling for individual variables, there was little variation between communities. However, the influence of the community was more important for people with low family income than those with higher income.

    Release date: 2004-09-13

  • Technical products: 11-522-X20020016322
    Description:

    The study examined the characteristics of people who reported their health as poor or fair in the Canadian Community Health Survey of 2000/01. The results expand on the conclusions of an article titled "The health of Canada's communities," released in The daily on July 4. That article found that self-perceived health status differed substantially between health regions and that regional socio-economic factors were clearly associated with average health status in each region. People living in large metropolitan areas and urban centres, where education levels are high, had the highest life expectancies in all of Canada. At the other end of the spectrum, people living in remote northern communities, where education levels are lower, had poorer health.

    This new article examines the extent to which this regional variation is attributable to the composition of the population within each health region, rather than to the socio-economic context of the region.

    Release date: 2002-07-04

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Reference (6)

Reference (6) (6 of 6 results)

  • Technical products: 82-621-X2006002
    Description:

    This issue examines smoking trends from 2000/01 to 2005 for the population aged 12 or older, using data from the Canadian Community Health Survey. This issue also presents diabetes prevalence by age, sex and province or territory for the population aged 12 and over, using data from the 2005 Canadian Community Health Survey.

    Release date: 2006-06-13

  • Technical products: 82-621-X20060029226
    Description:

    This article examines smoking trends from 2000/01 to 2005 for the population aged 12 or older, using data from the Canadian Community Health Survey. Smoking prevalence is compared by age, sex and province. Proportions of the population living in households where smoking is totally banned are presented, as well as percentages of the employed population who face smoking bans at work. Exposure rates to second-hand smoke among non-smokers are examined. The article also presents estimates of these characteristics at the health region level.

    Release date: 2006-06-13

  • Technical products: 82-621-X2005001
    Description:

    This article provides estimates on the extent to which Canadians aged 12 or older feel a sense of belonging to their local community. People more likely to have a strong sense of community belonging are profiled, in terms of personal characteristics such as age and marital status, socio-economic variables such as education and income, and geographic variables such as province and health region. The relationship between community-belonging and health is studied by examining associations with self-perceived general and mental health.

    The results are based on a 6-month file that includes data collected from January to June 2005. Tables presenting information on self-rated health and mental health, body mass index, smoking, sense of community-belonging and regular medical doctor by province, health regions, age groups and sex are also available.

    Release date: 2005-12-21

  • Technical products: 11-522-X20040018739
    Description:

    For a study on smoking cessation programs, respondents were found via referrals from key informants. A challenge was tracking the calling process and keeping records of information obtained during telephone calls.

    Release date: 2005-10-27

  • Technical products: 11-522-X20020016720
    Description:

    The objective of this study was to analyse the influence of community on individual health. The new Canadian Community Health Survey (CCHS) was used to derive individual health variables for Canadian residents aged 18 or older while community-level data were obtained from the Canadian 1996 Census of Population. Weighted logistic multilevel models and principal component analysis were used to analyse these data. After controlling for individual variables, there was little variation between communities. However, the influence of the community was more important for people with low family income than those with higher income.

    Release date: 2004-09-13

  • Technical products: 11-522-X20020016322
    Description:

    The study examined the characteristics of people who reported their health as poor or fair in the Canadian Community Health Survey of 2000/01. The results expand on the conclusions of an article titled "The health of Canada's communities," released in The daily on July 4. That article found that self-perceived health status differed substantially between health regions and that regional socio-economic factors were clearly associated with average health status in each region. People living in large metropolitan areas and urban centres, where education levels are high, had the highest life expectancies in all of Canada. At the other end of the spectrum, people living in remote northern communities, where education levels are lower, had poorer health.

    This new article examines the extent to which this regional variation is attributable to the composition of the population within each health region, rather than to the socio-economic context of the region.

    Release date: 2002-07-04

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