Literature DB >> 18210868

Canadian Health Measures Survey: sampling strategy overview.

Suzelle Giroux1.   

Abstract

This article presents an overview of the sampling strategy developed for the Canadian Health Measures Survey (CHMS). The CHMS was designed to collect key health information using a computer-assisted personal interview and a physical health examination. It began in March 2007 and will be conducted to 2009. A nationally representative sample of approximately 5,000 respondents aged 6 to 79 will be interviewed at home and asked to visit a mobile clinic where health care professionals measure several aspects of their physical health. The CHMS presents several challenges including: the need to have respondents who live within a reasonable commuting distance of the clinics; the difficulty of reaching the desired sample size for youths; and sub-sampling of measures related to exposure to environmental pollutants. The sampling strategy described in this article will address these challenges.

Mesh:

Year:  2007        PMID: 18210868

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  32 in total

1.  Standardizing 25-hydroxyvitamin D values from the Canadian Health Measures Survey.

Authors:  Kurtis Sarafin; Ramón Durazo-Arvizu; Lu Tian; Karen W Phinney; Susan Tai; Johanna E Camara; Joyce Merkel; Evan Green; Christopher T Sempos; Stephen P J Brooks
Journal:  Am J Clin Nutr       Date:  2015-09-30       Impact factor: 7.045

2.  Patterns of senescence in human cardiovascular fitness: VO2 max in subsistence and industrialized populations.

Authors:  Anne C Pisor; Michael Gurven; Aaron D Blackwell; Hillard Kaplan; Gandhi Yetish
Journal:  Am J Hum Biol       Date:  2013-09-10       Impact factor: 1.937

3.  Reformulating lead-based paint as a problem in Canada.

Authors:  Kelly O'Grady; Amélie Perron
Journal:  Am J Public Health       Date:  2011-08-11       Impact factor: 9.308

4.  Recent trends in the prevalence of overweight and obesity among Canadian children.

Authors:  Celia Rodd; Atul K Sharma
Journal:  CMAJ       Date:  2016-05-09       Impact factor: 8.262

5.  Prevalence of metabolic syndrome in the Canadian adult population.

Authors:  Natalie D Riediger; Ian Clara
Journal:  CMAJ       Date:  2011-09-12       Impact factor: 8.262

6.  Are participant characteristics from ISCOLE study sites comparable to the rest of their country?

Authors:  A G LeBlanc; P T Katzmarzyk; T V Barreira; S T Broyles; J-P Chaput; T S Church; M Fogelholm; D M Harrington; G Hu; R Kuriyan; A Kurpad; E V Lambert; C Maher; J Maia; V Matsudo; T Olds; V Onywera; O L Sarmiento; M Standage; C Tudor-Locke; P Zhao; M S Tremblay
Journal:  Int J Obes Suppl       Date:  2015-12-08

7.  Prevalence of metabolic syndrome and its risk factors in Canadian children and adolescents: Canadian Health Measures Survey Cycle 1 (2007-2009) and Cycle 2 (2009-2011).

Authors:  M MacPherson; M de Groh; L Loukine; D Prud'homme; L Dubois
Journal:  Health Promot Chronic Dis Prev Can       Date:  2016-02       Impact factor: 3.240

8.  Outdoor time, physical activity and sedentary time among young children: The 2012-2013 Canadian Health Measures Survey.

Authors:  Richard Larouche; Didier Garriguet; Mark S Tremblay
Journal:  Can J Public Health       Date:  2017-03-01

9.  Prevalence, incidence, awareness and control of hypertension in the province of Quebec: perspective from administrative and survey data.

Authors:  Claudia Blais; Louis Rochette; Denis Hamel; Paul Poirier
Journal:  Can J Public Health       Date:  2014-02-03

10.  Prevalence estimates of chronic kidney disease in Canada: results of a nationally representative survey.

Authors:  Paul Arora; Priya Vasa; Darren Brenner; Karl Iglar; Phil McFarlane; Howard Morrison; Alaa Badawi
Journal:  CMAJ       Date:  2013-05-06       Impact factor: 8.262

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