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Code Red: Explaining Average Age of Death in the City of Hamilton
Patrick F DeLuca1, Pavlos S Kanaroglou1
1Centre for Spatial Analysis, School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4K1.
Insights
Poverty, working class status, and health/aging factors significantly influence average age of death in Hamilton, Ontario. These elements explain 42% of the variation in mortality ages across the city.
Area of Science:
- Public Health
- Sociology
- Gerontology
Background:
- The "Code Red Series" highlighted mortality disparities in Hamilton, Ontario in 2010.
- Understanding factors affecting average age of death is crucial for public health interventions.
Purpose of the Study:
- To identify key socioeconomic and health factors influencing average age of death in Hamilton.
- To analyze the relationship between identified factors and mortality at the census tract level.
Main Methods:
- Utilized Canadian Census, Government of Ontario, and Canadian Institute for Health Information data.
- Employed factor analysis to identify underlying variables.
- Conducted regression analysis to determine the explanatory power of these factors.
Main Results:
- Three primary factors emerged: poverty, working class status, and health and aging.
- These factors collectively accounted for 42% of the variability in average ages of death.
- The findings provide quantitative insights into the "Code Red Series" observations.
Conclusions:
- Socioeconomic status and health-related factors are significant determinants of average age of death in Hamilton.
- The study quantifies the impact of these factors on mortality, informing public health strategies.
- Further research can explore specific interventions targeting these identified determinants.
Abstract:
The aim of this study is to identify the underlying factors that explain the average age of death in the City of Hamilton, Ontario, Canada, as identified in the Code Red Series of articles that were published in the city's local newspaper in 2010. Using a combination of data from the Canadian Census, the Government of Ontario and the Canadian Institute for Health Information, factor analysis was performed yielding three factors relating to poverty, working class, and health and aging. In a regression analysis these factors account for 42% of the total variability in the average ages of death observed at the census tract level of geography within the city.
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