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- Canadian Community Health Survey - Annual Component (23)
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Results
All (107)
All (107) (0 to 10 of 107 results)
- Articles and reports: 82-003-X202300300002Description: Previous studies examining the cardiometabolic risks associated with physical activity (PA) in workers have predominantly used self-reported measures. Little is known about workers’ distinct daily PA patterns and whether these are linked with cardiometabolic risks. This study examined associations between patterns of workers’ accelerometer-measured daily PA and four markers of cardiometabolic health. Furthermore, the study examined similarities and differences between younger compared to middle-aged and older workers, and between men and women, to understand whether these groups are associated with different cardiometabolic risks.Release date: 2023-03-15
- Articles and reports: 82-625-X202100100001Description:
This is a Health fact sheet about measured blood pressure and hypertension among Canadian adults aged 20 to 79. An important risk factor for hypertension is being overweight or obese. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2021-03-23 - Stats in brief: 11-627-M2021011Description:
This infographic presents information about the physical and mental health status of Canadian youth. Information about health behaviours such as smoking, heavy drinking, cannabis use, obesity and physical activity is also provided. Data are drawn from the Canadian Community Health Survey and the Canadian Perspectives Survey Series.
Release date: 2021-02-01 - Journals and periodicals: 82-221-XGeography: CanadaDescription:
Over 80 indicators measure the health of the Canadian population and the effectiveness of the health care system. Designed to provide comparable information at the health region and provincial/territorial levels, these data are produced from a wide range of the most recently available sources.
This Internet publication is produced by Statistics Canada and the Canadian Institute for Health Information.
Release date: 2020-07-30 - Articles and reports: 82-003-X201901000001Description:
Using data spanning a decade (2007 to 2017) from cycles 1, 2 and 5 of the Canadian Health Measures Survey, this study provides a comprehensive update of current fitness levels and a description of recent trends in the fitness levels of Canadian children and youth aged 6 to 19 years.
Release date: 2019-10-16 - Articles and reports: 82-003-X201900900002Description:
The purpose of this study is to examine the association between walkability and obesity and self-rated general and mental health in a nationally-representative sample of Canadians in children and adults. A secondary purpose is to examine and describe the mediating effect of physical activity in the association between walkability and obesity. Data are from the 2016 Canadian Active Living Environments database and the Canadian Health Measures Survey (2009-2015).
Release date: 2019-09-18 - Stats in brief: 11-627-M2019066Description:
This infographic presents findings on the association between walkable neighbourhoods and physical activity by age and type of physical activity, as well as the association between walkability and obesity.
Release date: 2019-09-18 - Articles and reports: 82-625-X201900100005Description:
This is a Health fact sheet about Canadians aged 18 and older who are overweight or obese, based on self-reported height and weight that has been adjusted with correction factors. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2019-06-25 - Articles and reports: 12-001-X201900100001Description:
Demographers are facing increasing pressure to disaggregate their estimates and forecasts by characteristics such as region, ethnicity, and income. Traditional demographic methods were designed for large samples, and perform poorly with disaggregated data. Methods based on formal Bayesian statistical models offer better performance. We illustrate with examples from a long-term project to develop Bayesian approaches to demographic estimation and forecasting. In our first example, we estimate mortality rates disaggregated by age and sex for a small population. In our second example, we simultaneously estimate and forecast obesity prevalence disaggregated by age. We conclude by addressing two traditional objections to the use of Bayesian methods in statistical agencies.
Release date: 2019-05-07 - Articles and reports: 82-003-X201900200001Description:
Using data from the first four cycles of the Canadian Health Measures Survey, this study examined the major risk factors for hypertensive status among Canadians aged 20 to 79 years, and employed a composite risk score to predict hypertension in women and men across a wide range of ages.
Release date: 2019-02-20
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Analysis (107)
Analysis (107) (0 to 10 of 107 results)
- Articles and reports: 82-003-X202300300002Description: Previous studies examining the cardiometabolic risks associated with physical activity (PA) in workers have predominantly used self-reported measures. Little is known about workers’ distinct daily PA patterns and whether these are linked with cardiometabolic risks. This study examined associations between patterns of workers’ accelerometer-measured daily PA and four markers of cardiometabolic health. Furthermore, the study examined similarities and differences between younger compared to middle-aged and older workers, and between men and women, to understand whether these groups are associated with different cardiometabolic risks.Release date: 2023-03-15
- Articles and reports: 82-625-X202100100001Description:
This is a Health fact sheet about measured blood pressure and hypertension among Canadian adults aged 20 to 79. An important risk factor for hypertension is being overweight or obese. The results shown are based on data from the Canadian Health Measures Survey.
Release date: 2021-03-23 - Stats in brief: 11-627-M2021011Description:
This infographic presents information about the physical and mental health status of Canadian youth. Information about health behaviours such as smoking, heavy drinking, cannabis use, obesity and physical activity is also provided. Data are drawn from the Canadian Community Health Survey and the Canadian Perspectives Survey Series.
Release date: 2021-02-01 - Journals and periodicals: 82-221-XGeography: CanadaDescription:
Over 80 indicators measure the health of the Canadian population and the effectiveness of the health care system. Designed to provide comparable information at the health region and provincial/territorial levels, these data are produced from a wide range of the most recently available sources.
This Internet publication is produced by Statistics Canada and the Canadian Institute for Health Information.
Release date: 2020-07-30 - Articles and reports: 82-003-X201901000001Description:
Using data spanning a decade (2007 to 2017) from cycles 1, 2 and 5 of the Canadian Health Measures Survey, this study provides a comprehensive update of current fitness levels and a description of recent trends in the fitness levels of Canadian children and youth aged 6 to 19 years.
Release date: 2019-10-16 - Articles and reports: 82-003-X201900900002Description:
The purpose of this study is to examine the association between walkability and obesity and self-rated general and mental health in a nationally-representative sample of Canadians in children and adults. A secondary purpose is to examine and describe the mediating effect of physical activity in the association between walkability and obesity. Data are from the 2016 Canadian Active Living Environments database and the Canadian Health Measures Survey (2009-2015).
Release date: 2019-09-18 - Stats in brief: 11-627-M2019066Description:
This infographic presents findings on the association between walkable neighbourhoods and physical activity by age and type of physical activity, as well as the association between walkability and obesity.
Release date: 2019-09-18 - Articles and reports: 82-625-X201900100005Description:
This is a Health fact sheet about Canadians aged 18 and older who are overweight or obese, based on self-reported height and weight that has been adjusted with correction factors. The results shown are based on data from the Canadian Community Health Survey.
Release date: 2019-06-25 - Articles and reports: 12-001-X201900100001Description:
Demographers are facing increasing pressure to disaggregate their estimates and forecasts by characteristics such as region, ethnicity, and income. Traditional demographic methods were designed for large samples, and perform poorly with disaggregated data. Methods based on formal Bayesian statistical models offer better performance. We illustrate with examples from a long-term project to develop Bayesian approaches to demographic estimation and forecasting. In our first example, we estimate mortality rates disaggregated by age and sex for a small population. In our second example, we simultaneously estimate and forecast obesity prevalence disaggregated by age. We conclude by addressing two traditional objections to the use of Bayesian methods in statistical agencies.
Release date: 2019-05-07 - Articles and reports: 82-003-X201900200001Description:
Using data from the first four cycles of the Canadian Health Measures Survey, this study examined the major risk factors for hypertensive status among Canadians aged 20 to 79 years, and employed a composite risk score to predict hypertension in women and men across a wide range of ages.
Release date: 2019-02-20
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