Article The legacy of slavery and contemporary declines in heart disease mortality in the U.S. South

The purpose of this study was to explain the role of county-specific slavery legacy in the simulated time in heart disease (ie 1968 - 2014) and in the reduction of geographic (ie Southern County) mortality Met. In this case, the mortality rate of heart disease in the US has declined dramatically since the 1960s, which has benefited local and ethnic groups and the rate of decline in the south is particularly slow for the black population.

For all counties in the south of the United States from 1968 to 2014, ethnic group-based and group-based mortality rates by age were calculated. In 1860, confounding candidates for confounding candidates and confounding candidates in 1960 and confounding candidates were combined with mortality data from multivariate regression models to reduce the slave density in 1860 and the decrease in heart disease mortality from 1968 to 2014 Estimated the ecological relationship between.

In the counties with the highest and lowest slavery history, the death rate due to the heart disease of the black population has decreased by 17%. Partly due to intervention in socio-economic factors, the relationship of black population varies from region to region (southern southern part is more powerful than southern part states). In a model that considers spatial autocorrelation there is no correlation between white slaver concentration and reduction in heart disease mortality.

Declining mortality due to heart disease in the last 50 years has been a major success in public health, one of its outstanding features is heterogeneity in the progress of the region and ethnic groups. At the county level, the decline in black heart disease mortality is related to the region's slavery historical heritage. Effective and equitable public health prevention efforts take into account the socio-economic institutions that may promote or impede the region's historical background and the prevalence of preventive efforts, thereby playing a role in creating a comfortable place and population It should be included.

In order to answer the main question as to whether the slave concentration in 1860 is related to the decrease rate of heart disease mortality rate, it is necessary to consider the unadjusted confused adjustment race with a change in heart disease mortality rate between 1968 and 70 years A stratified linear regression model was used. As a dependent variable between 2012 and 14, slavery has concentrated as a major independent variable. A third model to coordinate the cardiac association, confounding factors and intermediates is appropriate to explore whether the social and economic impact of the assumption of intervention in the legacy of slavery weakened slavery - . All interventions for black and white differences are modeled as a logarithmic ratio that represents excess black "risk" (for example, the ratio of poverty rates is black and white, but the median ratio is white / black). Consistent interpretation

The purpose of this study was to explain the role of county-specific slavery legacy in the simulated time in heart disease (ie 1968 - 2014) and in the reduction of geographic (ie Southern County) mortality Met. In this case, the mortality rate of heart disease in the US has declined sharply since the 1960's, which has benefited local and ethnic groups and the rate of decline in the south is more gradual, especially in the black population It is. For all counties in the south of the United States from 1968 to 2014, ethnic group-based and group-based mortality rates by age were calculated. In 1860, confounding candidates for confounding candidates and confounding candidates in 1960 and confounding candidates were combined with mortality data from multivariate regression models to reduce the slave density in 1860 and the decrease in heart disease mortality from 1968 to 2014 Estimated the ecological relationship between.

Articles on the legacy of slavery in the south of the United States and the decline in cardiac mortality rate