Abstract

Introduction: Hospitalization rates for acute myocardial infarction (AMI), coronary heart disease (CHD), and stroke have decreased over time, although trends are debatable for heart failure (HF). These trends are unequally distributed. There is a growing literature documenting the relationship between social and economic characteristics of people’s communities and cardiovascular disease (CVD). Based on a social ecological model of health through the life course, we descriptively examined associations between CVD hospitalization rates and patient characteristics and census tract (CT)-level community environment. Hypothesis: CVD hospitalization rates will be higher in community environments with higher percentages of individuals living below the federal poverty level, racial/ethnic minority groups, and non-residential (i.e., commercial/office, industrial, open space, public/civic, vacant, and miscellaneous space) vs. residential land use. Methods: Colorado Hospital Association (2009-2013) data were used to measure ICD-9 coded hospitalization rates (per 1,000) for Denver, Colorado residents ≥20 years. Data were merged with American Community Survey (2009-2013) and Denver County land use (2010) data. Using chi-square analysis, we examined associations between age-adjusted CVD hospitalization rates (N=15,521) and CT-level community environment (in quartiles) (N=144). Results: Denver’s annual CVD hospitalization rate was 6.6. Patient-level AMI (1.7), CHD (2.8), and HF (2.2) rates were higher among men. Women had higher stroke-related rates (2.4). Across CVD types, rates for those ≥65 years (6.5-13.5) were higher than middle-aged groups (2.1-3.4). Average annual age-adjusted AMI hospitalization rates were higher in CTs with the highest quartile of Hispanic Americans (2.0), Native Americans (1.9), and individuals below poverty (1.9). CHD rates were higher in CTs with higher percentages of Hispanic Americans (3.1), individuals below poverty (3.1), and Native Americans (3.1). HF rates were higher in CTs with higher percentages of industrial/office land use (3.5), individuals below poverty (3.3), and Hispanic Americans (3.2). Stroke rates were higher in CTs with higher percentages of Native Americans (3.0), industrial/office land use (3.0), and African Americans (3.0). The largest disparities for rate ratios comparing the highest to the lowest quartiles for each exposure by CVD outcome were the percentage of individuals below poverty (AMI 2.2; CHD 2.1; HF 2.4; Stroke 1.7), non-Hispanic Whites (AMI 0.7; CHD 0.7; HF 0.7; Stroke 0.7), Hispanic Americans (AMI 1.5; CHD 1.5; HF 1.5), and Native Americans (Stroke 1.30). Conclusions: In conclusion, associations exist between community environment and CVD hospitalization rates, suggesting opportunities for health policy development in Denver’s city government, council districts, and neighborhoods .

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