Online Program

331331
Proximity to coal mining activity and cancer risk in Illinois: A geospatial approach


Monday, November 2, 2015 : 9:42 a.m. - 10:00 a.m.

Georgia Mueller-Luckey, MS, Center for Clinical Research, Southern Illinois University School of Medicine, Springfield, IL
Amanda Clayton, BS, Department of Environmental Studies, University of Illinois-Springfield, Springfield, IL
Whitney Zahnd, MS, Population Health Science Program, Southern Illinois University School of Medicine, Springfield, IL
Kaitlin Hollenbeck, BS, Department of Environmental Studies, University of Illinois-Springfield, Springfield, IL
Mallory Barrow, BS, Department of Environmental Studies, University of Illinois-Springfield, Springfield, IL
Dennis Ruez, Jr., PhD, Department of Environmental Studies, University of Illinois-Springfield, Springfield, IL
Wiley D. Jenkins, PhD, MPH, Population Health Science Program, Southern Illinois University School of Medicine, Springfield, IL
Background     Studies have indicated population-level associations between coal mining and cancer incidence and mortality (I/M), but few have specifically examined residential proximity to this exposure.  Of the small number of studies exploring coal mining and population cancer risk in the United States, few were performed outside Appalachia. Our work utilized spatial and statistical analyses to test two coal mining exposure variables and their associations with cancer I/M across Illinois. 

Methods           We calculated age-adjusted, county-level cancer I/M rates for five cancers groups: all malignant, lung, colorectal, breast (female) and prostate. Coal mining exposure was defined as coal production group (CoalPG) and distance-weighted exposure (D-WE).  CoalPD was categorized at the county-level as: 1) never mined; 2) mined prior to 1987; and 3) mined after 1987. Census tract level population and proximity to the nearest mine were used to calculate D-WE, which was then aggregated at the county level. Spatial analyses were performed to identify spatial autocorrelation and stepwise regression analyses were used to explore the relationship between cancer I/M and coal mining exposures. Covariates considered for inclusion in stepwise regression analyses were: socioeconomic deprivation, former/current smoking prevalence, race and rurality.

Results             Global spatial autocorrelation indicated significant spatial clustering of incidence, mortality and coal production with Moran’s I values of 0.23, 0.22, and 0.23 respectively. Regression analyses indicated an association between CoalPG and colorectal cancer incidence (p=0.009) and mortality (p=0.035), and an inverse association with prostate cancer mortality (i.e. protective; p=0.018). D-WM was significantly associated with lung cancer incidence and mortality (p=0.004 and P<0.001, respectively) and all cancer mortality (p<0.001). No other cancer I/M rates were significantly associated with either measure.

Conclusion      Coal production and cancer incidence and mortality are spatially clustered in Illinois. Exposures to coal mining were associated with elevated risk of colorectal and lung cancer. Our study corroborates other studies indicating a relationship between proximity to coal mines and cancer risk.  Future studies are needed to further elucidate the population exposure dynamics of coal mining and which methods may be most accurate. These studies should consider individual-level exposures and cancer outcomes to further substantiate population-level findings.

Learning Areas:

Environmental health sciences
Epidemiology

Learning Objectives:
Explain the relationship between proximity to coal mining and cancer incidence and mortality in Illinois.

Keyword(s): Geographic Information Systems (GIS), Cancer

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I contributed to the conceptualization of this project and was responsible for the data analysis.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.