Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia

W. J. Christian; C. J. Walker; B. Huang; J. E. Levy; E. Durbin; S. Arnold

doi:10.1016/j.sste.2020.100364

Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia

W. J. Christian, C. J. Walker, B. Huang, J. E. Levy, E. Durbin, S. Arnold

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.

Original language	English
Article number	100364
Journal	Spatial and Spatio-temporal Epidemiology
Volume	35
DOIs	https://doi.org/10.1016/j.sste.2020.100364
State	Published - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Funding

This research was supported by the University of Kentucky Center for Appalachian Research in Environmental Sciences (UK-CARES) , a research center funded by the National Institute of Environmental Health Sciences (NIEHS) through grant P30ES026529 . Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIEHS. This research was also supported by the Biostatistics and Bioinformatics Shared Resource Facility of the University of Kentucky Markey Cancer Center through grant P30CA177558.

Funders	Funder number
The Markey Biostatistics and Bioinformatics Shared Resource Facility
University of Kentucky Center for Appalachian Research in Environmental Sciences
National Childhood Cancer Registry – National Cancer Institute	P30CA177558
National Institute of Environmental Health Sciences (NIEHS)	P30ES026529
University of Kentucky Markey Cancer Center

Keywords

Appalachia
Environment
Exposure assessment
LexisNexis
Lung cancer
Residential history

ASJC Scopus subject areas

Epidemiology
Geography, Planning and Development
Infectious Diseases
Health, Toxicology and Mutagenesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.sste.2020.100364

Cite this

@article{2dc63d679ef849d487c8002eab4cd500,

title = "Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia",

abstract = "Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.",

keywords = "Appalachia, Environment, Exposure assessment, LexisNexis, Lung cancer, Residential history",

author = "Christian, {W. J.} and Walker, {C. J.} and B. Huang and Levy, {J. E.} and E. Durbin and S. Arnold",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2020",

month = nov,

doi = "10.1016/j.sste.2020.100364",

language = "English",

volume = "35",

}

TY - JOUR

T1 - Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia

AU - Christian, W. J.

AU - Walker, C. J.

AU - Huang, B.

AU - Levy, J. E.

AU - Durbin, E.

AU - Arnold, S.

PY - 2020/11

Y1 - 2020/11

N2 - Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.

AB - Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.

KW - Appalachia

KW - Environment

KW - Exposure assessment

KW - LexisNexis

KW - Lung cancer

KW - Residential history

UR - http://www.scopus.com/inward/record.url?scp=85089016238&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85089016238&partnerID=8YFLogxK

U2 - 10.1016/j.sste.2020.100364

DO - 10.1016/j.sste.2020.100364

M3 - Article

C2 - 33138948

AN - SCOPUS:85089016238

SN - 1877-5845

VL - 35

JO - Spatial and Spatio-temporal Epidemiology

JF - Spatial and Spatio-temporal Epidemiology

M1 - 100364

ER -

Using residential histories in case-control analysis of lung cancer and mountaintop removal coal mining in Central Appalachia

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this