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All (3) ((3 results))

  • 1. Data collection for the health component (2008-2009) of the Longitudinal Study of Child Development in Quebec (ÉLDEQ) Archived
    Articles and reports: 11-522-X200800010962
    Description:

    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
  • 2. Methodological issues in anthropometry: Self-reported versus measured height and weight Archived
    Articles and reports: 11-522-X200800011002
    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 (BMI). Associations between BMI categories and selected health conditions are compared to see if the misclassification resulting from the use of self-reported data alters associations between obesity and obesity-related health conditions. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey (CCHS) who, during a face-to-face interview, provided self-reported values for height and weight and were then measured by trained interviewers. Based on self-reported data, a substantial proportion of individuals with excess body weight were erroneously placed in lower BMI categories. This misclassification resulted in elevated associations between overweight/obesity and morbidity.

    Release date: 2009-12-03
  • 3. Multi-year Analytical Plan: 2008/2009 to 2010/2011 Archived
    Surveys and statistical programs – Documentation: 82-622-X2008003
    Description:

    Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).

    The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.

    This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.

    Release date: 2009-01-30
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Analysis (2)

Analysis (2) ((2 results))

  • 1. Data collection for the health component (2008-2009) of the Longitudinal Study of Child Development in Quebec (ÉLDEQ) Archived
    Articles and reports: 11-522-X200800010962
    Description:

    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
  • 2. Methodological issues in anthropometry: Self-reported versus measured height and weight Archived
    Articles and reports: 11-522-X200800011002
    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 (BMI). Associations between BMI categories and selected health conditions are compared to see if the misclassification resulting from the use of self-reported data alters associations between obesity and obesity-related health conditions. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey (CCHS) who, during a face-to-face interview, provided self-reported values for height and weight and were then measured by trained interviewers. Based on self-reported data, a substantial proportion of individuals with excess body weight were erroneously placed in lower BMI categories. This misclassification resulted in elevated associations between overweight/obesity and morbidity.

    Release date: 2009-12-03
Reference (1)

Reference (1) ((1 result))

  • 1. Multi-year Analytical Plan: 2008/2009 to 2010/2011 Archived
    Surveys and statistical programs – Documentation: 82-622-X2008003
    Description:

    Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).

    The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.

    This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.

    Release date: 2009-01-30
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