Keith J Zullig1, Michael Hendryx. 1. Department of Community Medicine, School of Medicine, West Virginia University, Morgantown, WV 26506, USA. kzullig@hsc.wvu.edu
Abstract
OBJECTIVES: We compared health-related quality of life (HRQOL) in mining and non-mining counties in and out of Appalachia using the 2006 Behavioral Risk Factor Surveillance System (BRFSS) survey. METHODS: Dependent variables included self-rated health, the number of poor physical and mental health days, the number of activity limitation days (in the last 30 days), and the Centers for Disease Control and Prevention Healthy Days Index. Independent variables included the presence of coal mining, Appalachian region residence, metropolitan status, primary care physician supply, and BRFSS behavioral (e.g., smoking, body mass index, and alcohol consumption) and demographic (e.g., age, gender, race, and income) variables. We compared dependent variables across a four-category variable: Appalachia (yes/ no) and coal mining (yes/no). We used SUDAAN Multilog and multiple linear regression models with post-hoc least-squares means to test for Appalachian coal-mining effects after adjusting for covariates. RESULTS: Residents of coal-mining counties inside and outside of Appalachia reported significantly fewer healthy days for both physical and mental health, and poorer self-rated health (p < 0.0005) when compared with referent U.S. non-coal-mining counties, but disparities were greatest for people residing in Appalachian coal-mining areas. Furthermore, results remained consistent in separate analyses by gender and age. CONCLUSIONS: Coal-mining areas are characterized by greater socioeconomic disadvantage, riskier health behaviors, and environmental degradation that are associated with reduced HRQOL.
OBJECTIVES: We compared health-related quality of life (HRQOL) in mining and non-mining counties in and out of Appalachia using the 2006 Behavioral Risk Factor Surveillance System (BRFSS) survey. METHODS: Dependent variables included self-rated health, the number of poor physical and mental health days, the number of activity limitation days (in the last 30 days), and the Centers for Disease Control and Prevention Healthy Days Index. Independent variables included the presence of coal mining, Appalachian region residence, metropolitan status, primary care physician supply, and BRFSS behavioral (e.g., smoking, body mass index, and alcohol consumption) and demographic (e.g., age, gender, race, and income) variables. We compared dependent variables across a four-category variable: Appalachia (yes/ no) and coal mining (yes/no). We used SUDAAN Multilog and multiple linear regression models with post-hoc least-squares means to test for Appalachian coal-mining effects after adjusting for covariates. RESULTS: Residents of coal-mining counties inside and outside of Appalachia reported significantly fewer healthy days for both physical and mental health, and poorer self-rated health (p < 0.0005) when compared with referent U.S. non-coal-mining counties, but disparities were greatest for people residing in Appalachian coal-mining areas. Furthermore, results remained consistent in separate analyses by gender and age. CONCLUSIONS: Coal-mining areas are characterized by greater socioeconomic disadvantage, riskier health behaviors, and environmental degradation that are associated with reduced HRQOL.
Authors: Abee L Boyles; Robyn B Blain; Johanna R Rochester; Raghavendhran Avanasi; Susan B Goldhaber; Sofie McComb; Stephanie D Holmgren; Scott A Masten; Kristina A Thayer Journal: Environ Int Date: 2017-07-21 Impact factor: 9.621
Authors: Cody E Nichols; Danielle L Shepherd; Travis L Knuckles; Dharendra Thapa; Janelle C Stricker; Phoebe A Stapleton; Valerie C Minarchick; Aaron Erdely; Patti C Zeidler-Erdely; Stephen E Alway; Timothy R Nurkiewicz; John M Hollander Journal: Am J Physiol Heart Circ Physiol Date: 2015-10-23 Impact factor: 4.733