Modeling coronary heart disease prevalence in regional and sociodemographic contexts


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Abstract

The mortality rates from coronary heart disease (CHD) have been documented extensively in the United States and substantial disparities in CHD mortality rates exist by age, sex, race/ethnicity, socioeconomic status, and geographic location. The prevalence of people living with CHD, however, is relatively unexplored in part due to the lack of data. Using data from the Behavioral Risk Factor Surveillance System for 2005–2007, this study develops a logistic regression model to estimate the probability of CHD prevalence while incorporating key factors associated with CHD mortality rates. The findings highlight that older white males with lower socioeconomic status are more likely to be diagnosed with CHD, compared to their black counterparts. Areas of higher probability of CHD prevalence coincide with areas of higher CHD mortality rates. The lower probability of CHD prevalence among blacks, however, may be directly influenced by their higher CHD mortality rates.

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