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Examining variations in health within rural Canada
M Ruth Lavergne1, George Kephart
1Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada. rlavergne@chspr.ubc.ca
Health disparities in rural Canada are significant and vary widely within communities. Understanding the diverse characteristics of rural areas is crucial for addressing health inequalities.
Area of Science:
- Public Health
- Rural Health
- Health Disparities
Background:
- Canadian rural communities exhibit significant social, economic, and geographic diversity.
- Existing literature inadequately addresses health heterogeneity within rural Canada.
- This study examines health variations across the urban-rural continuum, both between and within rural classifications.
Purpose of the Study:
- To describe health heterogeneity along the urban-rural continuum in Canada.
- To identify factors contributing to observed health variations.
- To assess the extent of health differences within rural areas.
Main Methods:
- Utilized Canadian Community Health Survey (CCHS) data linked with Canadian Census data.
- Classified study areas using Metropolitan Influenced Zones (MIZ) based on urban connectivity.
- Employed random-intercept logistic regression and estimated intra-class correlation coefficient (ICC) and median odds ratio (MOR) to quantify between-area variation.
Main Results:
- Poorer health observed in more remote rural areas, but effects were smaller than individual/area factors.
- Individual income, education, employment, and area characteristics (e.g., Francophone/Aboriginal populations) partially explained health gradients.
- Significant between-area health heterogeneity persisted within MIZ categories (MORs 1.18-1.53).
Conclusions:
- Health heterogeneity within rural Canada is substantial, often exceeding the impact of rurality itself.
- Further research is needed to understand diverse rural community characteristics and health disparity emergence.
- Classifying rural areas by health-relevant factors may be more informative than broad rurality or MIZ-based approaches.
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