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Health Status Health Services Health Care Reform Diverse Communities of Women
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Women’s Health in Atlantic Canada: A Statistical Portrait Ronald Colman, Director, General Progress Indicators (GPI Atlantic)
This report to the Atlantic Region Policy Forum onWomen’s Health and Well-Being illustrates the utility of a gendered health determinants approach for developing strategies for improving population health and women’s health and, ultimately, for reducing long-term health care costs. The report notes the highly interactive nature of the determinants of health and points both to data limitations and the need for more research in the area. While not a comprehensive overview of women’s health in the region, the report presents statistical evidence to illustrate the need for strategic investments in several key determinants of health to improve women’s health in Atlantic Canada. Highlights of the report include:
While this report was prepared to provide an overview of women’s health issues in the Atlantic provinces, the gender analyses provide directions for interventions to improve the health of men. For exmple, while fifteen years ago Maritimers were more physically active than most Canadians, today men in all four Atlantic provinces rank below the Canadian average. A sex-disaggregated data analysis revealed that overall population averages conceal sharply divergent trends among men and women in the region. That is, while Atlantic women have generally increased their rates of leisure time physical activity, there has been a dramatic decline in physical activity by men in all four Atlantic provinces. In the long term, this means that while men in the region had a relatively low risk of heart disease in 1985 compared to other Canadians, they now have a significantly higher risk than Canadian men in general. In this case, a gender analysis suggests that health officials target men in promoting sports and exercise programs. In fact, the male and female trends are so dramatically different that an overall population analysis without a gender breakdown completely misses the point of who is at greatest risk from a lack of physical activity and sends misleading signals to policy makers. For further information contact: |
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