Objective: To determine the predictive value of coal mining and other risk factors for explaining disproportionately high mortality rates across Appalachia.
Method: Mortality and covariate data were obtained from publicly available databases for 2000 to 2004. Analysis employed ordinary least square multiple linear regression with age-adjusted mortality as the dependent variable.
Results: Age-adjusted all-cause mortality was independently related to Poverty Rate, Median Household Income, Percent High School Graduates, Rural–Urban Location, Obesity, Sex, and Race/Ethnicity, but not Unemployment Rate, Percent Uninsured, Percent College Graduates, Physician Supply, Smoking, Diabetes, or Coal Mining.
Conclusions: Coal mining is not per se an independent risk factor for increased mortality in Appalachia. Nevertheless, our results underscore the substantial economic and cultural disadvantages that adversely impact health in Appalachia, especially in the coal-mining areas of Central Appalachia.
From the Department of Epidemiology and Public Health (Dr Borak and Ms Fields), Yale University; Department of Medicine (Dr Borak and Mr Slade), Yale University; and Jonathan Borak & Company (Dr Borak, Ms Salipante-Zaidel and Ms Fields), New Haven, Conn.
Address correspondence to: Jonathan Borak, MD, 234 Church Street (#1100), New Haven, CT 06510 (firstname.lastname@example.org).
The study was supported by the National Mining Association. The results presented here represent the conclusions and opinions solely of the authors. Its publication does not imply endorsement by the National Mining Association. The study sponsor had no role in the study design, analysis or interpretation of the data, or in the writing, preparation, or submission of the manuscript, which was not provided to the sponsors prior to its submission for publication.