Diseases and physical health conditions

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All (23) (0 to 10 of 23 results)

  • Articles and reports: 82-003-X200800410746
    Geography: Canada
    Description:

    This article investigates associations that may underlie the blurred or positive gradient between socio-economic status (SES) and overweight, and also gender differences, by assessing the distribution of risk factors for overweight across SES groups.

    Release date: 2008-12-17

  • Articles and reports: 82-003-X200800310680
    Geography: Canada
    Description:

    This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.

    Release date: 2008-09-17

  • Articles and reports: 82-003-X200800310663
    Geography: Canada
    Description:

    Based on data from six of the provinces/territories, this article presents a first look at the health care practices of diabetics. Estimates are from the "diabetes care module" of the 2005 Canadian Community. These questions were designed to collect information about the care practices of people with diabetes, including glucose testing and foot and eye examinations.

    Release date: 2008-08-20

  • Articles and reports: 82-003-X200800310649
    Geography: Canada
    Description:

    A population-based sample of 4,948 men and women aged 40 or older who did not have heart disease in 1994/1995 were followed to 2006/2007 to determine if depression was associatedwith increased risk of heart disease diagnosis or death.

    Release date: 2008-07-16

  • Articles and reports: 82-618-M2008007
    Geography: Canada
    Description:

    This analysis examines the relationship between depression and subsequent heart disease among Canadians aged 40 years or older. The article is based on data from the household component of the National Population Health Survey (NPHS). This longitudinal survey, conducted by Statistics Canada, follows the same group of people every two years since 1994/1995.

    Release date: 2008-07-16

  • Articles and reports: 12-001-X200800110615
    Description:

    We consider optimal sampling rates in element-sampling designs when the anticipated analysis is survey-weighted linear regression and the estimands of interest are linear combinations of regression coefficients from one or more models. Methods are first developed assuming that exact design information is available in the sampling frame and then generalized to situations in which some design variables are available only as aggregates for groups of potential subjects, or from inaccurate or old data. We also consider design for estimation of combinations of coefficients from more than one model. A further generalization allows for flexible combinations of coefficients chosen to improve estimation of one effect while controlling for another. Potential applications include estimation of means for several sets of overlapping domains, or improving estimates for subpopulations such as minority races by disproportionate sampling of geographic areas. In the motivating problem of designing a survey on care received by cancer patients (the CanCORS study), potential design information included block-level census data on race/ethnicity and poverty as well as individual-level data. In one study site, an unequal-probability sampling design using the subjectss residential addresses and census data would have reduced the variance of the estimator of an income effect by 25%, or by 38% if the subjects' races were also known. With flexible weighting of the income contrasts by race, the variance of the estimator would be reduced by 26% using residential addresses alone and by 52% using addresses and races. Our methods would be useful in studies in which geographic oversampling by race-ethnicity or socioeconomic characteristics is considered, or in any study in which characteristics available in sampling frames are measured with error.

    Release date: 2008-06-26

  • Articles and reports: 82-003-X200800210599
    Geography: Canada
    Description:

    This article examines sedentary behaviours (television viewing, computer use and reading) in relation to obesity among Canadian adults aged 20 to 64 years.

    Release date: 2008-06-18

  • Articles and reports: 82-003-X200800210564
    Geography: Canada
    Description:

    This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.

    Release date: 2008-05-14

  • Articles and reports: 82-003-X200800210569
    Geography: Canada
    Description:

    Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.

    Release date: 2008-05-14

  • Articles and reports: 82-003-X200800210551
    Geography: Canada
    Description:

    Based on data from the National Longitudinal Survey of Children and Youth (NLSCY), changes in prevalence rates among children aged 0 through 11 are examined from 1994/1995 through 2000/2001, by asthma severity, and by child and family socio-demographic factors.

    Release date: 2008-04-16
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Analysis (21)

Analysis (21) (0 to 10 of 21 results)

  • Articles and reports: 82-003-X200800410746
    Geography: Canada
    Description:

    This article investigates associations that may underlie the blurred or positive gradient between socio-economic status (SES) and overweight, and also gender differences, by assessing the distribution of risk factors for overweight across SES groups.

    Release date: 2008-12-17

  • Articles and reports: 82-003-X200800310680
    Geography: Canada
    Description:

    This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.

    Release date: 2008-09-17

  • Articles and reports: 82-003-X200800310663
    Geography: Canada
    Description:

    Based on data from six of the provinces/territories, this article presents a first look at the health care practices of diabetics. Estimates are from the "diabetes care module" of the 2005 Canadian Community. These questions were designed to collect information about the care practices of people with diabetes, including glucose testing and foot and eye examinations.

    Release date: 2008-08-20

  • Articles and reports: 82-003-X200800310649
    Geography: Canada
    Description:

    A population-based sample of 4,948 men and women aged 40 or older who did not have heart disease in 1994/1995 were followed to 2006/2007 to determine if depression was associatedwith increased risk of heart disease diagnosis or death.

    Release date: 2008-07-16

  • Articles and reports: 82-618-M2008007
    Geography: Canada
    Description:

    This analysis examines the relationship between depression and subsequent heart disease among Canadians aged 40 years or older. The article is based on data from the household component of the National Population Health Survey (NPHS). This longitudinal survey, conducted by Statistics Canada, follows the same group of people every two years since 1994/1995.

    Release date: 2008-07-16

  • Articles and reports: 12-001-X200800110615
    Description:

    We consider optimal sampling rates in element-sampling designs when the anticipated analysis is survey-weighted linear regression and the estimands of interest are linear combinations of regression coefficients from one or more models. Methods are first developed assuming that exact design information is available in the sampling frame and then generalized to situations in which some design variables are available only as aggregates for groups of potential subjects, or from inaccurate or old data. We also consider design for estimation of combinations of coefficients from more than one model. A further generalization allows for flexible combinations of coefficients chosen to improve estimation of one effect while controlling for another. Potential applications include estimation of means for several sets of overlapping domains, or improving estimates for subpopulations such as minority races by disproportionate sampling of geographic areas. In the motivating problem of designing a survey on care received by cancer patients (the CanCORS study), potential design information included block-level census data on race/ethnicity and poverty as well as individual-level data. In one study site, an unequal-probability sampling design using the subjectss residential addresses and census data would have reduced the variance of the estimator of an income effect by 25%, or by 38% if the subjects' races were also known. With flexible weighting of the income contrasts by race, the variance of the estimator would be reduced by 26% using residential addresses alone and by 52% using addresses and races. Our methods would be useful in studies in which geographic oversampling by race-ethnicity or socioeconomic characteristics is considered, or in any study in which characteristics available in sampling frames are measured with error.

    Release date: 2008-06-26

  • Articles and reports: 82-003-X200800210599
    Geography: Canada
    Description:

    This article examines sedentary behaviours (television viewing, computer use and reading) in relation to obesity among Canadian adults aged 20 to 64 years.

    Release date: 2008-06-18

  • Articles and reports: 82-003-X200800210564
    Geography: Canada
    Description:

    This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.

    Release date: 2008-05-14

  • Articles and reports: 82-003-X200800210569
    Geography: Canada
    Description:

    Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.

    Release date: 2008-05-14

  • Articles and reports: 82-003-X200800210551
    Geography: Canada
    Description:

    Based on data from the National Longitudinal Survey of Children and Youth (NLSCY), changes in prevalence rates among children aged 0 through 11 are examined from 1994/1995 through 2000/2001, by asthma severity, and by child and family socio-demographic factors.

    Release date: 2008-04-16
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 82-225-X200701010508
    Description:

    The Record Linkage Overview describes the process used in annual internal record linkage of the Canadian Cancer Registry. The steps include: preparation; pre-processing; record linkage; post-processing; analysis and resolution; resolution entry; and, resolution processing.

    Release date: 2008-01-18

  • Surveys and statistical programs – Documentation: 82-225-X
    Description:

    The compendium of Canadian Cancer Registry procedures manuals set out the rules for reporting cancer data to the CCR for all provincial and territorial cancer registries.

    Release date: 2008-01-18
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