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Patterns of mortality from selected causes in an urban population
Insights
Spatial analysis of Philadelphia mortality data (1974-1980) revealed significant clusters of high death rates for ischemic heart disease, liver disease, cerebrovascular disease, and external causes, often linked to socioeconomic status.
Area of Science:
- Epidemiology
- Public Health
- Spatial Analysis
Background:
- Mortality patterns for non-cancer causes in Philadelphia (1974-1980) were previously unexamined spatially.
- Socioeconomic factors are known to influence health outcomes.
Purpose of the Study:
- To investigate spatial patterns of mortality for selected non-cancer causes in Philadelphia.
- To identify relationships between mortality rates and socioeconomic status (SES).
Main Methods:
- Analysis of mortality data for specific non-cancer causes (1974-1980).
- Examination of spatial clustering of high mortality rates.
- Correlation of mortality patterns with neighborhood socioeconomic levels.
Main Results:
- Significant spatial variations and clustering were observed for ischemic heart disease, chronic liver disease and cirrhosis, cerebrovascular disease, and external causes of death.
- High mortality rates, except for ischemic heart disease, were associated with below-average socioeconomic status.
- A cluster of predominantly Black neighborhoods exhibited extremely high mortality rates across multiple causes, consistent with prior cancer mortality findings.
Conclusions:
- Social and behavioral factors are linked to a broad spectrum of diseases.
- These factors are often associated with socioeconomic status, highlighting health disparities.
Abstract:
Mortality data for selected non-cancer causes for the period 1974-1980 were analyzed for the City of Philadelphia to examine spatial patterns. Four categories of conditions--ischemic heart disease (including acute myocardial infarction), chronic liver disease and cirrhosis, cerebrovascular disease, and external causes--demonstrated significant variation in death rates. Moreover, neighborhoods with high levels of mortality for these conditions appeared in significant clusters. With the exception of ischemic heart disease, neighborhoods with high levels of mortality were characterized by below average levels of SES. A group of predominantly black neighborhoods in the central part of the city had extremely high rates for five or more of the nine causes investigated in this paper. In an earlier analysis, all but one of these neighborhoods were found to have the highest level of overall cancer mortality. These findings support the hypothesis that there are social and behavioral factors that are associated with a wide range of disease conditions, and many of these factors are associated with socioeconomic status.