The contextual influence of coal abandoned mine lands in communities and type 2 diabetes in Pennsylvania

Ann Y. Liu; Frank C. Curriero; Thomas A. Glass; Walter F. Stewart; Brian S. Schwartz

doi:10.1016/j.healthplace.2013.03.012

The contextual influence of coal abandoned mine lands in communities and type 2 diabetes in Pennsylvania

Ann Y. Liu, Frank C. Curriero, Thomas A. Glass, Walter F. Stewart, Brian S. Schwartz

Bloomberg School of Public Health

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

23 Scopus citations

Abstract

Coal abandoned mine lands (AMLs), persistent and prevalent across Pennsylvania, offer an instructive evaluation of potential contextual influences of chronic environmental contamination (CEC) on individual health. We evaluated associations between the burden of AMLs, represented by 10 contextual metrics at the community level, and individual-level type 2 diabetes using hemoglobin A1c (HbA1c) as a biomarker. Cross-sectional and longitudinal multilevel analyses were conducted with over 28,000 diabetic primary care patients of the Geisinger Clinic. Adjusted models revealed five AML burden measures were associated (p<0.05), and three additional were borderline associated (0.05≤. p≤0.10), with higher and/or change in HbA1c levels. This study provides key empirical evidence of adverse impacts of CEC in communities on an important chronic disease, illustrating the contextual effects of living in long-term degraded landscapes and communities.

Original language	English (US)
Pages (from-to)	115-122
Number of pages	8
Journal	Health and Place
Volume	22
DOIs	https://doi.org/10.1016/j.healthplace.2013.03.012
State	Published - Jul 2013

Keywords

Abandoned mine lands
Coal
Context
Diabetes
Multilevel

ASJC Scopus subject areas

Health(social science)
Sociology and Political Science
Life-span and Life-course Studies

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title = "The contextual influence of coal abandoned mine lands in communities and type 2 diabetes in Pennsylvania",

abstract = "Coal abandoned mine lands (AMLs), persistent and prevalent across Pennsylvania, offer an instructive evaluation of potential contextual influences of chronic environmental contamination (CEC) on individual health. We evaluated associations between the burden of AMLs, represented by 10 contextual metrics at the community level, and individual-level type 2 diabetes using hemoglobin A1c (HbA1c) as a biomarker. Cross-sectional and longitudinal multilevel analyses were conducted with over 28,000 diabetic primary care patients of the Geisinger Clinic. Adjusted models revealed five AML burden measures were associated (p<0.05), and three additional were borderline associated (0.05≤. p≤0.10), with higher and/or change in HbA1c levels. This study provides key empirical evidence of adverse impacts of CEC in communities on an important chronic disease, illustrating the contextual effects of living in long-term degraded landscapes and communities.",

keywords = "Abandoned mine lands, Coal, Context, Diabetes, Multilevel",

author = "Liu, {Ann Y.} and Curriero, {Frank C.} and Glass, {Thomas A.} and Stewart, {Walter F.} and Schwartz, {Brian S.}",

note = "Funding Information: This work was funded, in part, by the Johns Hopkins Education and Research Center, National Institute of Occupational Safety and Health. All authors declare they have no actual or potential competing financial interests. ",

year = "2013",

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doi = "10.1016/j.healthplace.2013.03.012",

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AU - Liu, Ann Y.

AU - Curriero, Frank C.

AU - Glass, Thomas A.

AU - Stewart, Walter F.

AU - Schwartz, Brian S.

N1 - Funding Information: This work was funded, in part, by the Johns Hopkins Education and Research Center, National Institute of Occupational Safety and Health. All authors declare they have no actual or potential competing financial interests.

PY - 2013/7

Y1 - 2013/7

N2 - Coal abandoned mine lands (AMLs), persistent and prevalent across Pennsylvania, offer an instructive evaluation of potential contextual influences of chronic environmental contamination (CEC) on individual health. We evaluated associations between the burden of AMLs, represented by 10 contextual metrics at the community level, and individual-level type 2 diabetes using hemoglobin A1c (HbA1c) as a biomarker. Cross-sectional and longitudinal multilevel analyses were conducted with over 28,000 diabetic primary care patients of the Geisinger Clinic. Adjusted models revealed five AML burden measures were associated (p<0.05), and three additional were borderline associated (0.05≤. p≤0.10), with higher and/or change in HbA1c levels. This study provides key empirical evidence of adverse impacts of CEC in communities on an important chronic disease, illustrating the contextual effects of living in long-term degraded landscapes and communities.

AB - Coal abandoned mine lands (AMLs), persistent and prevalent across Pennsylvania, offer an instructive evaluation of potential contextual influences of chronic environmental contamination (CEC) on individual health. We evaluated associations between the burden of AMLs, represented by 10 contextual metrics at the community level, and individual-level type 2 diabetes using hemoglobin A1c (HbA1c) as a biomarker. Cross-sectional and longitudinal multilevel analyses were conducted with over 28,000 diabetic primary care patients of the Geisinger Clinic. Adjusted models revealed five AML burden measures were associated (p<0.05), and three additional were borderline associated (0.05≤. p≤0.10), with higher and/or change in HbA1c levels. This study provides key empirical evidence of adverse impacts of CEC in communities on an important chronic disease, illustrating the contextual effects of living in long-term degraded landscapes and communities.

KW - Abandoned mine lands

KW - Coal

KW - Context

KW - Diabetes

KW - Multilevel

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The contextual influence of coal abandoned mine lands in communities and type 2 diabetes in Pennsylvania

Abstract

Keywords

ASJC Scopus subject areas

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