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July

Health Reports – July 21, 2021

Acute-care hospitalizations among First Nations people, Inuit and Métis: Results from the 2006 and 2011 Canadian Census Health and Environment Cohorts
by Evelyne Bougie

The objective of this study was to describe sex-specific hospitalization rates among Indigenous people in Canada (excluding Quebec), separately for First Nations people living on and off reserve, Inuit living in Inuit Nunangat (excluding Nunavik), Métis, and the non-Indigenous population. The 2006 and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) were used, allowing hospital records to be examined by Indigenous identity as reported on the census. The following research questions were addressed: (1) How do leading causes of hospitalization and rates from the 2006 cohort compare with those from the 2011 cohort? (2) How do leading causes of hospitalization and rates differ for females and males and by Indigenous group? (3) What are the largest disparities in hospitalization rates between Indigenous and non-Indigenous females and males?


Data profile: Expanding the research potential of the Canadian Health Measures Survey using paired respondent data
by Kellie Langlois, Rachel C. Colley, Didier Garriguet, Tracey Bushnik and Anne Mather

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. This paper highlights the unique features, recommendations for use and research potential of paired data in the CHMS relationship files.


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