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- Articles and reports: 82-003-X201600414489Description:
Using accelerometry data for children and youth aged 3 to 17 from the Canadian Health Measures Survey, the probability of adherence to physical activity guidelines is estimated using a conditional probability, given the number of active and inactive days distributed as a Betabinomial.
Release date: 2016-04-20 - 2. Low Income Lines, 2012-2013 ArchivedArticles and reports: 75F0002M2014003Description:
In order to provide a holographic or complete picture of low income, Statistics Canada uses three complementary low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs) and the Market Basket Measure (MBM). While the first two lines were developed by Statistics Canada, the MBM is based on concepts developed by Employment and Social Development Canada. Though these measures differ from one another, they give a generally consistent picture of low income status over time. None of these measures is the best. Each contributes its own perspective and its own strengths to the study of low income, so that cumulatively, the three provide a better understanding of the phenomenon of low income as a whole. These measures are not measures of poverty, but strictly measures of low income.
Release date: 2014-12-10 - Articles and reports: 82-003-X201200211648Geography: CanadaDescription:
This analysis uses information from the 2007 to 2009 Canadian Health Measures Survey to examine moderate-to-vigorous physical activity, sedentary behaviour and sleep duration in children aged 6 to 11. The objective was to compare and contrast findings from these data collection methods and explore differences in their associations with health markers in children.
Release date: 2012-04-18 - Articles and reports: 11-522-X200800010962Description:
The ÉLDEQ initiated a special data gathering project in March 2008 with the collection of biological materials from 1,973 families. During a typical visit, a nurse collects a blood or saliva sample from the selected child, makes a series of measurements (anthropometry, pulse rate and blood pressure) and administers questionnaires. Planned and supervised by the Institut de la Statistique du Québec (ISQ) and the Université de Montréal, the study is being conducted in cooperation with two private firms and a number of hospitals. This article examines the choice of collection methods, the division of effort among the various players, the sequence of communications and contacts with respondents, the tracing of families who are not contacted, and follow-up on the biological samples. Preliminary field results are also presented.
Release date: 2009-12-03 - Articles and reports: 82-003-X200900310921Geography: CanadaDescription:
This study identifies, in a representative sample of Canadian children, age-related patterns of overweight and obesity between toddlerhood and childhood. The data are from cycles 2 through 5 (1996/1997 to 2002/2003) of the National Longitudinal Survey of Children and Youth. The sample comprised children aged 24 to 35 months at baseline, who were followed biennially over six years.
Release date: 2009-09-16
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- Articles and reports: 82-003-X201600414489Description:
Using accelerometry data for children and youth aged 3 to 17 from the Canadian Health Measures Survey, the probability of adherence to physical activity guidelines is estimated using a conditional probability, given the number of active and inactive days distributed as a Betabinomial.
Release date: 2016-04-20 - 2. Low Income Lines, 2012-2013 ArchivedArticles and reports: 75F0002M2014003Description:
In order to provide a holographic or complete picture of low income, Statistics Canada uses three complementary low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs) and the Market Basket Measure (MBM). While the first two lines were developed by Statistics Canada, the MBM is based on concepts developed by Employment and Social Development Canada. Though these measures differ from one another, they give a generally consistent picture of low income status over time. None of these measures is the best. Each contributes its own perspective and its own strengths to the study of low income, so that cumulatively, the three provide a better understanding of the phenomenon of low income as a whole. These measures are not measures of poverty, but strictly measures of low income.
Release date: 2014-12-10 - Articles and reports: 82-003-X201200211648Geography: CanadaDescription:
This analysis uses information from the 2007 to 2009 Canadian Health Measures Survey to examine moderate-to-vigorous physical activity, sedentary behaviour and sleep duration in children aged 6 to 11. The objective was to compare and contrast findings from these data collection methods and explore differences in their associations with health markers in children.
Release date: 2012-04-18 - Articles and reports: 11-522-X200800010962Description:
The ÉLDEQ initiated a special data gathering project in March 2008 with the collection of biological materials from 1,973 families. During a typical visit, a nurse collects a blood or saliva sample from the selected child, makes a series of measurements (anthropometry, pulse rate and blood pressure) and administers questionnaires. Planned and supervised by the Institut de la Statistique du Québec (ISQ) and the Université de Montréal, the study is being conducted in cooperation with two private firms and a number of hospitals. This article examines the choice of collection methods, the division of effort among the various players, the sequence of communications and contacts with respondents, the tracing of families who are not contacted, and follow-up on the biological samples. Preliminary field results are also presented.
Release date: 2009-12-03 - Articles and reports: 82-003-X200900310921Geography: CanadaDescription:
This study identifies, in a representative sample of Canadian children, age-related patterns of overweight and obesity between toddlerhood and childhood. The data are from cycles 2 through 5 (1996/1997 to 2002/2003) of the National Longitudinal Survey of Children and Youth. The sample comprised children aged 24 to 35 months at baseline, who were followed biennially over six years.
Release date: 2009-09-16
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