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Data profile: Expanding the research potential of the Canadian Health Measures Survey using paired respondent data.
Langlois, Kellie; Colley, Rachel C; Garriguet, Didier; Bushnik, Tracey; Mather, Anne.
Afiliação
  • Langlois K; Health Analysis Division, Statistics Canada, Ottawa, Ontario.
  • Colley RC; Health Analysis Division, Statistics Canada, Ottawa, Ontario.
  • Garriguet D; Health Analysis Division, Statistics Canada, Ottawa, Ontario.
  • Bushnik T; Health Analysis Division, Statistics Canada, Ottawa, Ontario.
  • Mather A; Social Statistics Methods Division, Statistics Canada, Ottawa, Ontario.
Health Rep ; 32(7): 3-10, 2021 07 21.
Article em En | MEDLINE | ID: mdl-34288617
The family environment is an important influence on the health and behaviours of children. Few large-scale datasets include detailed and objectively measured health data about multiple individuals from the same family who are living in the same household. The Canadian Health Measures Survey (CHMS) is a repeating, cross-sectional survey that selects two members of a household-a child and a randomly selected older member of the household aged 12 to 79 years-with at least one child aged 3 to 11 years in residence. These paired respondent records, available in the CHMS relationship files, provide unique opportunities to researchers interested in examining associations between two members of the same household for health behaviours and outcomes. A range of pairings are captured in the relationship files (e.g., parent and child, siblings, grandchild and grandparent) with birth parent-child pairs being the most common. These paired respondent data are an important analytical asset of the CHMS and enhance the research potential of the survey significantly.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Rep Assunto da revista: SAUDE PUBLICA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Características da Família Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Health Rep Assunto da revista: SAUDE PUBLICA Ano de publicação: 2021 Tipo de documento: Article