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Exploring Disparities in Maternal Residential Proximity to Unconventional Gas Development in the Barnett Shale in North Texas

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  • Jennifer Ish

    (Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in San Antonio, San Antonio, TX 78229, USA
    Southwest Center for Occupational and Environmental Health (SWCOEH), Houston, TX 77030, USA)

  • Elaine Symanski

    (Southwest Center for Occupational and Environmental Health (SWCOEH), Houston, TX 77030, USA
    Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX 77030, USA)

  • Kristina W. Whitworth

    (Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in San Antonio, San Antonio, TX 78229, USA
    Southwest Center for Occupational and Environmental Health (SWCOEH), Houston, TX 77030, USA)

Abstract

Background : This study explores sociodemographic disparities in residential proximity to unconventional gas development (UGD) among pregnant women. Methods : We conducted a secondary analysis using data from a retrospective birth cohort of 164,658 women with a live birth or fetal death from November 2010 to 2012 in the 24-county area comprising the Barnett Shale play, in North Texas. We considered both individual- and census tract-level indicators of sociodemographic status and computed Indexes of Concentration at the Extremes (ICE) to quantify relative neighborhood-level privilege/disadvantage. We used negative binomial regression to investigate the relation between these variables and the count of active UGD wells within 0.8 km of the home during gestation. We calculated count ratios (CR) and 95% confidence intervals (CI) to describe associations. Results : There were fewer wells located near homes of women of color living in low-income areas compared to non-Hispanic white women living in more privileged neighborhoods (ICE race/ethnicity + income: CR = 0.51, 95% CI = 0.48–0.55). Conclusions : While these results highlight a potential disparity in residential proximity to UGD in the Barnett Shale, they do not provide evidence of an environmental justice (EJ) issue nor negate findings of environmental injustice in other regions.

Suggested Citation

  • Jennifer Ish & Elaine Symanski & Kristina W. Whitworth, 2019. "Exploring Disparities in Maternal Residential Proximity to Unconventional Gas Development in the Barnett Shale in North Texas," IJERPH, MDPI, vol. 16(3), pages 1-9, January.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:298-:d:200064
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    References listed on IDEAS

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    1. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    2. Kotelchuck, M., 1994. "The Adequacy of Prenatal Care Utilization Index: Its US distribution and association with low birthweight," American Journal of Public Health, American Public Health Association, vol. 84(9), pages 1486-1489.
    3. Krieger, N. & Waterman, P.D. & Spasojevic, J. & Li, W. & Maduro, G. & Van Wye, G., 2016. "Public health monitoring of privilege and deprivation with the index of concentration at the extremes," American Journal of Public Health, American Public Health Association, vol. 106(2), pages 256-263.
    4. Myron Orfield & Thomas F. Luce, 2013. "America's Racially Diverse Suburbs: Opportunities and Challenges," Housing Policy Debate, Taylor & Francis Journals, vol. 23(2), pages 395-430, April.
    5. Johnston, J.E. & Werder, E. & Sebastian, D., 2016. "Wastewater disposal wells, fracking, and environmental injustice in Southern Texas," American Journal of Public Health, American Public Health Association, vol. 106(3), pages 550-556.
    Full references (including those not matched with items on IDEAS)

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