Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining

Objectives To identify risk factors for small-for-gestational age (SGA) for counties in central Appalachian states (Kentucky (KY), Tennessee (TN), Virginia (VA), and West Virginia (WV)) with varied coal mining activities. Material and Methods Live birth certificate files (1990–2002) were used for o...

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Main Authors: Hamid Ferdosi, Steve H. Lamm, Nana Ama Afari-Dwamena, Elisabeth Dissen, Rusan Chen, Ji Li, Manning Feinleib
Format: Article
Language:English
Published: Nofer Institute of Occupational Medicine 2018-10-01
Series:International Journal of Occupational Medicine and Environmental Health
Subjects:
Online Access:http://www.journalssystem.com/ijomeh/Small-for-Gestational-Age-Prevalence-Risk-Factors-in-Central-Appalachian-States-with-Mountain-Top-Mining,65605,0,2.html
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author Hamid Ferdosi
Steve H. Lamm
Nana Ama Afari-Dwamena
Elisabeth Dissen
Rusan Chen
Ji Li
Manning Feinleib
author_facet Hamid Ferdosi
Steve H. Lamm
Nana Ama Afari-Dwamena
Elisabeth Dissen
Rusan Chen
Ji Li
Manning Feinleib
author_sort Hamid Ferdosi
collection DOAJ
description Objectives To identify risk factors for small-for-gestational age (SGA) for counties in central Appalachian states (Kentucky (KY), Tennessee (TN), Virginia (VA), and West Virginia (WV)) with varied coal mining activities. Material and Methods Live birth certificate files (1990–2002) were used for obtaining SGA prevalence rates for mothers based on the coal mining activities of their counties of residence, mountain-top mining (MTM) activities, underground mining activities but no mountain-top mining activity (non-MTM), or having no mining activities (non-mining). Co-variable information, including maternal tobacco use, was also obtained from the live birth certificate. Adjusted odds ratios were obtained using multivariable logistic regression comparing SGA prevalence rates for counties with coal mining activities to those without coal mining activities and comparing SGA prevalence rates for counties with coal mining activities for those with and without mountain-top mining activities. Comparisons were also made among those who had reported tobacco use and those who had not. Results Both tobacco use prevalence and SGA prevalence were significantly greater for mining counties than for non-mining counties and for MTM counties than for non-MTM counties. Adjustment for tobacco use alone explained 50% of the increased SGA risk for mining counties and 75% of the risk for MTM counties, including demographic pre-natal care co-variables that explained 75% of the increased SGA risk for mining counties and 100% of the risk for MTM. The increased risk of SGA was limited to the third trimester births among tobacco users and independent of the mining activities of their counties of residence. Conclusions This study demonstrates that the increased prevalence of SGA among residents of counties with mining activity was primarily explained by the differences in maternal tobacco use prevalence, an effect that itself was gestational-age dependent. Self-reported tobacco use marked the population at the increased risk for SGA in central Appalachian states. Int J Occup Med Environ Health 2018;31(1):11–23
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spelling doaj.art-1f8709ab024041b2a3d2882bd2f28e3a2022-12-22T03:23:33ZengNofer Institute of Occupational MedicineInternational Journal of Occupational Medicine and Environmental Health1232-10871896-494X2018-10-01311112310.13075/ijomeh.1896.0104265605Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top miningHamid Ferdosi0Steve H. Lamm1Nana Ama Afari-Dwamena2Elisabeth Dissen3Rusan Chen4Ji Li5Manning Feinleib6Center in Epidemiology and Environmental Health, LLC, Washington, D.C., USACenter in Epidemiology and Environmental Health, LLC, Washington, D.C., USACenter in Epidemiology and Environmental Health, LLC, Washington, D.C., USACenter in Epidemiology and Environmental Health, LLC, Washington, D.C., USAGeorgetown University, Washington, D.C., USA (Centers for New Designs in Learning and Scholarships)Center in Epidemiology and Environmental Health, LLC, Washington, D.C., USAJohns Hopkins University, Baltimore, Maryland, USA (School of Medicine)Objectives To identify risk factors for small-for-gestational age (SGA) for counties in central Appalachian states (Kentucky (KY), Tennessee (TN), Virginia (VA), and West Virginia (WV)) with varied coal mining activities. Material and Methods Live birth certificate files (1990–2002) were used for obtaining SGA prevalence rates for mothers based on the coal mining activities of their counties of residence, mountain-top mining (MTM) activities, underground mining activities but no mountain-top mining activity (non-MTM), or having no mining activities (non-mining). Co-variable information, including maternal tobacco use, was also obtained from the live birth certificate. Adjusted odds ratios were obtained using multivariable logistic regression comparing SGA prevalence rates for counties with coal mining activities to those without coal mining activities and comparing SGA prevalence rates for counties with coal mining activities for those with and without mountain-top mining activities. Comparisons were also made among those who had reported tobacco use and those who had not. Results Both tobacco use prevalence and SGA prevalence were significantly greater for mining counties than for non-mining counties and for MTM counties than for non-MTM counties. Adjustment for tobacco use alone explained 50% of the increased SGA risk for mining counties and 75% of the risk for MTM counties, including demographic pre-natal care co-variables that explained 75% of the increased SGA risk for mining counties and 100% of the risk for MTM. The increased risk of SGA was limited to the third trimester births among tobacco users and independent of the mining activities of their counties of residence. Conclusions This study demonstrates that the increased prevalence of SGA among residents of counties with mining activity was primarily explained by the differences in maternal tobacco use prevalence, an effect that itself was gestational-age dependent. Self-reported tobacco use marked the population at the increased risk for SGA in central Appalachian states. Int J Occup Med Environ Health 2018;31(1):11–23http://www.journalssystem.com/ijomeh/Small-for-Gestational-Age-Prevalence-Risk-Factors-in-Central-Appalachian-States-with-Mountain-Top-Mining,65605,0,2.htmltobaccominingmaternal smokingsmall for gestational agemountain-top miningSGA prevalence
spellingShingle Hamid Ferdosi
Steve H. Lamm
Nana Ama Afari-Dwamena
Elisabeth Dissen
Rusan Chen
Ji Li
Manning Feinleib
Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
International Journal of Occupational Medicine and Environmental Health
tobacco
mining
maternal smoking
small for gestational age
mountain-top mining
SGA prevalence
title Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
title_full Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
title_fullStr Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
title_full_unstemmed Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
title_short Small-for-gestational age prevalence risk factors in central Appalachian states with mountain-top mining
title_sort small for gestational age prevalence risk factors in central appalachian states with mountain top mining
topic tobacco
mining
maternal smoking
small for gestational age
mountain-top mining
SGA prevalence
url http://www.journalssystem.com/ijomeh/Small-for-Gestational-Age-Prevalence-Risk-Factors-in-Central-Appalachian-States-with-Mountain-Top-Mining,65605,0,2.html
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