Keith J. Zullig

Prof. Dr. Keith J. Zullig


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2012 in Addictive Behaviors
Verified
Journal Article
Closed access
KZKeith J. Zullig
Keith J. Zullig
ADAmanda L. Divin
Amanda L. Divin

14 December 2010 in Psychology in the Schools
Verified
Journal Article
Closed access
PDF file
KZKeith J. Zullig
Keith J. Zullig
EHE. Scott Huebner
E. Scott Huebner
JPJon M. Patton
Jon M. Patton

2 April 2020 in Annual Review of Public Health
Verified
Journal Article
Open access
Michael HendryxMichael Hendryx
Michael Hendryx
KZKeith J. Zullig
Keith J. Zullig
JLJuhua Luo
Juhua Luo
This article reviews evidence for the public health impacts of coal across the extraction, processing, use, and waste disposal continuum. Surface coal mining and processing impose public health risks on residential communities through air and water pollution. Burning coal in power plants emits more nitrogen oxides, sulfur dioxide, particulate matter, and heavy metals per unit of energy than any other fuel source and impairs global public health. Coal ash disposal exposes communities to heavy metals and particulate matter waste. Use of coal in domestic households causes public health harm concentrated in developing nations. Across the coal continuum, adverse impacts are disproportionately felt by persons of poor socioeconomic status, contributing to health inequities. Despite efforts to develop renewable energy sources, coal use has not declined on a global scale. Concentrated efforts to eliminate coal as an energy source are imperative to improve public health and avert serious climate change consequences.

1 May 2011 in American Journal of Public Health
Verified
Journal Article
Closed access
KZKeith J. Zullig
Keith J. Zullig
Michael HendryxMichael Hendryx
Michael Hendryx
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.

4 September 2010 in Applied Research in Quality of Life
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Journal Article
Closed access
PDF file
KZKeith J. Zullig
Keith J. Zullig
RWRebecca J. White
Rebecca J. White

1 July 2010 in Public Health Reports®
Verified
Journal Article
Closed access
KZKeith J. Zullig
Keith J. Zullig
Michael HendryxMichael Hendryx
Michael Hendryx
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. 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. 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. Coal-mining areas are characterized by greater socioeconomic disadvantage, riskier health behaviors, and environmental degradation that are associated with reduced HRQOL.