Keith J Zullig1, Michael Hendryx. 1. Department of Community Medicine, School of Medicine, West Virginia University, Morgantown, 26506-9190, USA. kzullig@hsc.wvu.edu
Abstract
OBJECTIVES: We examined the health-related quality of life of residents in mountaintop mining counties of Appalachia using the 2006 national Behavioral Risk Factor Surveillance System. METHODS: Dependent variables included self-rated health; the number of poor physical, poor mental, and activity limitation days (in the past 30 days); and the Healthy Days Index. Independent variables included metropolitan status, primary care physician supply, and Behavioral Risk Factor Surveillance System behavioral and demographic variables. We compared dependent variables across 3 categories: mountaintop mining (yes or no), other coal mining (yes or no), and a referent nonmining group. We used SUDAAN MULTILOG and multiple linear regression models with post hoc least squares means to test mountaintop mining effects after adjusting for covariates. RESULTS: Residents of mountaintop mining counties reported significantly more days of poor physical, mental, and activity limitation and poorer self-rated health (P < .01) compared with the other county groupings. Results were generally consistent in separate analyses by gender and age. CONCLUSIONS: Mountaintop mining areas are associated with the greatest reductions in health-related quality of life even when compared with counties with other forms of coal mining.
OBJECTIVES: We examined the health-related quality of life of residents in mountaintop mining counties of Appalachia using the 2006 national Behavioral Risk Factor Surveillance System. METHODS: Dependent variables included self-rated health; the number of poor physical, poor mental, and activity limitation days (in the past 30 days); and the Healthy Days Index. Independent variables included metropolitan status, primary care physician supply, and Behavioral Risk Factor Surveillance System behavioral and demographic variables. We compared dependent variables across 3 categories: mountaintop mining (yes or no), other coal mining (yes or no), and a referent nonmining group. We used SUDAAN MULTILOG and multiple linear regression models with post hoc least squares means to test mountaintop mining effects after adjusting for covariates. RESULTS: Residents of mountaintop mining counties reported significantly more days of poor physical, mental, and activity limitation and poorer self-rated health (P < .01) compared with the other county groupings. Results were generally consistent in separate analyses by gender and age. CONCLUSIONS: Mountaintop mining areas are associated with the greatest reductions in health-related quality of life even when compared with counties with other forms of coal mining.
Authors: Matthew M Zack; David G Moriarty; Donna F Stroup; Earl S Ford; Ali H Mokdad Journal: Public Health Rep Date: 2004 Sep-Oct Impact factor: 2.792
Authors: Carolina L Mercado; Cameron Pole; James Wong; Juan F Batlle; Fabiola Roque; Noah Shaikh; Juan C Murillo; Anat Galor; Carol L Karp Journal: Ocul Surf Date: 2018-09-11 Impact factor: 5.033
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: Michael P Strager; Jacquelyn M Strager; Jeffrey S Evans; Judy K Dunscomb; Brad J Kreps; Aaron E Maxwell Journal: PLoS One Date: 2015-06-19 Impact factor: 3.240
Authors: Shannon M Woolley; Ada O Youk; Todd M Bear; Lauren C Balmert; Evelyn O Talbott; Jeanine M Buchanich Journal: J Environ Public Health Date: 2015-07-09