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Willis MD, Campbell EJ, Selbe S, Koenig MR, Gradus JL, Nillni YI, Casey JA, Deziel NC, Hatch EE, Wesselink AK, Wise LA. Residential Proximity to Oil and Gas Development and Mental Health in a North American Preconception Cohort Study: 2013-2023. Am J Public Health 2024; 114:923-934. [PMID: 38991173 PMCID: PMC11306607 DOI: 10.2105/ajph.2024.307730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2024] [Indexed: 07/13/2024]
Abstract
Objectives. To evaluate associations between oil and gas development (OGD) and mental health using cross-sectional data from a preconception cohort study, Pregnancy Study Online. Methods. We analyzed baseline data from a prospective cohort of US and Canadian women aged 21 to 45 years who were attempting conception without fertility treatment (2013-2023). We developed residential proximity measures for active OGD during preconception, including distance from nearest site. At baseline, participants completed validated scales for perceived stress (10-item Perceived Stress Scale, PSS) and depressive symptoms (Major Depression Inventory, MDI) and reported psychotropic medication use. We used log-binomial regression and restricted cubic splines to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Results. Among 5725 participants across 37 states and provinces, residence at 2 km versus 20 to 50 km of active OGD was associated with moderate to high perceived stress (PSS ≥ 20 vs < 20: PR = 1.08; 95% CI = 0.98, 1.18), moderate to severe depressive symptoms (MDI ≥ 20 vs < 20: PR = 1.27; 95% CI = 1.11, 1.45), and psychotropic medication use (PR = 1.11; 95% CI = 0.97, 1.28). Conclusions. Among North American pregnancy planners, closer proximity to OGD was associated with adverse preconception mental health symptomatology. (Am J Public Health. 2024;114(9):923-934. https://doi.org/10.2105/AJPH.2024.307730).
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Affiliation(s)
- Mary D Willis
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Erin J Campbell
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Sophie Selbe
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Martha R Koenig
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Jaimie L Gradus
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Yael I Nillni
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Joan A Casey
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Nicole C Deziel
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Elizabeth E Hatch
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Amelia K Wesselink
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Lauren A Wise
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
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Caron-Beaudoin É, Akpo H, Doyle-Waters MM, Ronald LA, Friesen M, Takaro T, Leven K, Meyer U, McGregor MJ. The human health effects of unconventional oil and gas (UOG) chemical exposures: a scoping review of the toxicological literature. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 0:reveh-2024-0076. [PMID: 38985132 DOI: 10.1515/reveh-2024-0076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/18/2024] [Indexed: 07/11/2024]
Abstract
Many chemicals associated with unconventional oil and natural gas (UOG) are known toxicants, leading to health concerns about the effects of UOG. Our objective was to conduct a scoping review of the toxicological literature to assess the effects of UOG chemical exposures in models relevant to human health. We searched databases for primary research studies published in English or French between January 2000 and June 2023 on UOG-related toxicology studies. Two reviewers independently screened abstracts and full texts to determine inclusion. Seventeen studies met our study inclusion criteria. Nine studies used solely in vitro models, while six conducted their investigation solely in animal models. Two studies incorporated both types of models. Most studies used real water samples impacted by UOG or lab-made mixtures of UOG chemicals to expose their models. Most in vitro models used human cells in monocultures, while all animal studies were conducted in rodents. All studies detected significant deleterious effects associated with exposure to UOG chemicals or samples, including endocrine disruption, carcinogenicity, behavioral changes and metabolic alterations. Given the plausibility of causal relationships between UOG chemicals and adverse health outcomes highlighted in this review, future risk assessment studies should focus on measuring exposure to UOG chemicals in human populations.
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Affiliation(s)
- Élyse Caron-Beaudoin
- Department of Health and Society, 33530 University of Toronto Scarborough , Ontario, Canada
- Department of Physical and Environmental Sciences, 33530 University of Toronto Scarborough , Ontario, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Ontario, Canada
| | - Hélène Akpo
- Department of Occupational and Environmental Health, Université de Montréal, Quebec, Canada
| | - Mary M Doyle-Waters
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, British Columbia, Canada
| | - Lisa A Ronald
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, British Columbia, Canada
- Faculty of Health Sciences, Simon Fraser University, British Columbia, Canada
| | - Michael Friesen
- Faculty of Health Sciences, Simon Fraser University, British Columbia, Canada
| | - Tim Takaro
- Faculty of Health Sciences, Simon Fraser University, British Columbia, Canada
| | | | - Ulrike Meyer
- Department of Family Practice, Faculty of Medicine, University of British Columbia, British Columbia, Canada
| | - Margaret J McGregor
- Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, British Columbia, Canada
- Department of Family Practice, Faculty of Medicine, University of British Columbia, British Columbia, Canada
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González DJ, Morello-Frosch R, Liu Z, Willis MD, Feng Y, McKenzie LM, Steiger BB, Wang J, Deziel NC, Casey JA. Wildfires increasingly threaten oil and gas wells in the western United States with disproportionate impacts on marginalized populations. ONE EARTH (CAMBRIDGE, MASS.) 2024; 7:1044-1055. [PMID: 39036466 PMCID: PMC11259100 DOI: 10.1016/j.oneear.2024.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
The western United States is home to most of the nation's oil and gas production and, increasingly, wildfires. We examined historical threats of wildfires for oil and gas wells, the extent to which wildfires are projected to threaten wells as climate change progresses, and exposure of human populations to these wells. From 1984-2019, we found that cumulatively 102,882 wells were located in wildfire burn areas, and 348,853 people were exposed (resided ≤ 1 km). During this period, we observed a five-fold increase in the number of wells in wildfire burn areas and a doubling of the population within 1 km of these wells. These trends are projected to increase by late century, likely threatening human health. Approximately 2.9 million people reside within 1 km of wells in areas with high wildfire risk, and Asian, Black, Hispanic, and Native American people have disproportionately high exposure to wildfire-threatened wells.
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Affiliation(s)
- David J.X. González
- Department of Environmental Science, Policy, & Management and School of Public Health, University of California, Berkeley, Berkeley, CA, United States of America
- Lead contact
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, & Management and School of Public Health, University of California, Berkeley, Berkeley, CA, United States of America
| | - Zehua Liu
- Department of Biostatistics, Columbia University, New York, NY, United States of America
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, United States of America
| | - Yan Feng
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, United States of America
| | - Lisa M. McKenzie
- Department of Environmental & Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, United States of America
| | - Benjamin B. Steiger
- Department of Environmental Health Sciences, Columbia University, New York, NY, United States of America
| | - Jiali Wang
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, United States of America
| | - Nicole C. Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States of America
| | - Joan A. Casey
- Department of Environmental Health Sciences, Columbia University, New York, NY, United States of America
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Seattle, WA, United States of America
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Shaw GM, Gonzalez DJX, Goin DE, Weber KA, Padula AM. Ambient Environment and the Epidemiology of Preterm Birth. Clin Perinatol 2024; 51:361-377. [PMID: 38705646 DOI: 10.1016/j.clp.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Preterm birth (PTB) is associated with substantial mortality and morbidity. We describe environmental factors that may influence PTB risks. We focus on exposures associated with an individual's ambient environment, such as air pollutants, water contaminants, extreme heat, and proximities to point sources (oil/gas development or waste sites) and greenspace. These exposures may further vary by other PTB risk factors such as social constructs and stress. Future examinations of risks associated with ambient environment exposures would benefit from consideration toward multiple exposures - the exposome - and factors that modify risk including variations associated with the structural genome, epigenome, social stressors, and diet.
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Affiliation(s)
- Gary M Shaw
- Epidemiology and Population Health, Obstetrics & Gynecology - Maternal Fetal Medicine, Department of Pediatrics, Stanford University School of Medicine, Center for Academic Medicine (CAM), 453 Quarry Road, Stanford, CA 94304, USA.
| | - David J X Gonzalez
- Division of Environmental Health Sciences, School of Public Health, University of California, 2121 Berkeley Way, CA 94720, USA
| | - Dana E Goin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA
| | - Kari A Weber
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, RAHN 6219, Rock, AR 72205, USA
| | - Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 490 Illinois Street, #103N, San Francisco, CA 94158, USA
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5
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Gasparyan L, Duc J, Claustre L, Bosson-Rieutort D, Bouchard M, Bouchard MF, Owens-Beek N, West Moberly First Nations Chief And Council, Caron-Beaudoin É, Verner MA. Density and proximity of oil and gas wells and concentrations of trace elements in urine, hair, nails and tap water samples from pregnant individuals living in Northeastern British Columbia. ENVIRONMENT INTERNATIONAL 2024; 184:108398. [PMID: 38237504 DOI: 10.1016/j.envint.2023.108398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Oil and gas exploitation can release several contaminants in the environment, including trace elements, with potentially deleterious effects on exposed pregnant individuals and their developing fetus. Currently, there is limited data on pregnant individuals' exposure to contaminants associated with oil and gas activity. OBJECTIVES We aimed to 1)measure concentrations of trace elements in biological and tap water samples collected from pregnant individuals participating in the EXPERIVA study; 2)compare with reference populations and health-based guidance values; 3)assess correlations across matrices; and 4)evaluate associations with the density/proximity of oil and gas wells. METHODS We collected tap water, hair, nails, and repeated urine samples from 85pregnant individuals, and measured concentrations of 21trace elements. We calculated oil and gas well density/proximity (Inverse Distance Weighting [IDW]) for 4buffer sizes (2.5 km, 5 km, 10 km, no buffer). We performed Spearman's rank correlation analyses to assess the correlations across elements and matrices. We used multiple linear regression models to evaluate the associations between IDWs and concentrations. RESULTS Some study participants had urinary trace element concentrations exceeding the 95th percentile of reference values; 75% of participants for V, 29% for Co, 22% for Ba, and 20% for Mn. For a given trace element, correlation coefficients ranged from -0.23 to 0.65 across matrices; correlations with tap water concentrations were strongest for hair, followed by nails, and urine. Positive (e.g., Cu, Cr, Sr, U, Ga, Ba, Al, Cd) and negative (e.g., Fe) associations were observed between IDW metrics and the concentrations of certain trace elements in water, hair, and nails. SIGNIFICANCE Our results suggest that pregnant individuals living in an area of oil and gas activity may be more exposed to certain trace elements (e.g., Mn, Sr, Co, Ba) than the general population. Association with density/proximity of wells remains unclear.
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Affiliation(s)
- Lilit Gasparyan
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Juliette Duc
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health Policy, Management and Evaluation, School of Public Health, Université de Montréal, Montreal, QC, Canada
| | - Lucie Claustre
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Delphine Bosson-Rieutort
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada; Department of Health Policy, Management and Evaluation, School of Public Health, Université de Montréal, Montreal, QC, Canada
| | - Michèle Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada
| | - Maryse F Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Institut national de la recherche scientifique, Laval, QC, Canada; Sainte-Justine Hospital Research Center, Montreal, QC, Canada
| | | | | | - Élyse Caron-Beaudoin
- Department of Health and Society, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada; Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Montreal, QC, Canada; Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada.
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Noghanibehambari H, Bagheri H, Salari M, Tavassoli N, Javid R, Toranji M. Breathing in the future: prenatal exposure to air pollution and infants' health outcomes in the USA. Public Health 2023; 225:198-205. [PMID: 37939461 PMCID: PMC10842113 DOI: 10.1016/j.puhe.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/04/2023] [Accepted: 10/05/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVES This study aimed to investigate the impact of air pollution on birth outcomes in the USA over several decades. STUDY DESIGN Approximately 70 million birth records were assessed for the years 1980-2020. This study focussed on seven measures of birth outcomes, including birth weight, low birth weight, very low birth weight, full-term birth weight, foetal growth, gestational age and very premature birth. METHODS An instrumental variable identification strategy was used that exploited within county-month and within month-year of birth variations in exposure to precipitation-induced changes in air pollution. RESULTS Air pollution was found to have negative and large effects on a wide range of birth outcomes. The study findings suggest that a one-standard-deviation increase in ozone was associated with a 6.4% and 12.8% increase (from the mean) in the proportion of low birth weight and very preterm birth infants, respectively. Further analyses suggest that these effects were heterogeneous across trimesters of pregnancy and reveal larger impacts during the second and third trimesters. CONCLUSIONS The results suggest that the ordinary least square estimates of previous studies considerably underestimate the true effects of pollution on birth outcomes. Policies that aim to improve the health capital of future generations should allocate more resources and initiatives to improving environmental air quality.
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Affiliation(s)
- H Noghanibehambari
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI 53706, USA.
| | - H Bagheri
- Medical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
| | - M Salari
- Department of Accounting, Finance, and Economics, California State University Dominguez Hills, Carson, CA 90747, USA.
| | - N Tavassoli
- Department of Economics, University of Wisconsin Milwaukee, Milwaukee, WI 53211, USA.
| | - R Javid
- School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - M Toranji
- Department of Economics, University of Tehran, Tehran, Iran.
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Fan W, Zlatnik MG. Climate Change and Pregnancy: Risks, Mitigation, Adaptation, and Resilience. Obstet Gynecol Surv 2023; 78:223-236. [PMID: 37043299 PMCID: PMC10508966 DOI: 10.1097/ogx.0000000000001116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
Importance Climate change is affecting the earth, resulting in more extreme temperatures and weather, rising sea levels, more frequent natural disasters, and displacement of populations of plants and animals, including people and insects. These changes affect food and housing security, vector-borne illnesses, and access to clean air and water, all of which influence human health. Evidence and Results There are a number of adverse health outcomes linked to heat, air pollution from wildfires, stress from natural disasters, and other elements of climate change. Pregnant people are especially vulnerable to the health harms resulting from climate change, namely, preterm birth, small for gestational age, hypertensive disorders of pregnancy, and other adverse reproductive health and birth outcomes. Strategies to minimize these harms include mitigation and adaptation. Conclusions and Relevance Physicians are in a unique position to protect the health of pregnant persons and children by advocating for policy changes that address climate change and providing clinical recommendations for patients to protect themselves from the health impacts of climate hazards.
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Affiliation(s)
| | - Marya G Zlatnik
- Professor, Maternal Fetal Medicine, Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, Western States Pediatric Environmental Health Specialty Unit, University of California San Francisco, San Francisco, CA
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8
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Willis MD, Cushing LJ, Buonocore JJ, Deziel NC, Casey JA. It's electric! An environmental equity perspective on the lifecycle of our energy sources. Environ Epidemiol 2023; 7:e246. [PMID: 37064423 PMCID: PMC10097546 DOI: 10.1097/ee9.0000000000000246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/23/2023] [Indexed: 04/05/2023] Open
Abstract
Energy policy decisions are driven primarily by economic and reliability considerations, with limited consideration given to public health, environmental justice, and climate change. Moreover, epidemiologic studies relevant for public policy typically focus on immediate public health implications of activities related to energy procurement and generation, considering less so health equity or the longer-term health consequences of climate change attributable to an energy source. A more integrated, collective consideration of these three domains can provide more robust guidance to policymakers, communities, and individuals. Here, we illustrate how these domains can be evaluated with respect to natural gas as an energy source. Our process began with a detailed overview of all relevant steps in the process of extracting, producing, and consuming natural gas. We synthesized existing epidemiologic and complementary evidence of how these processes impact public health, environmental justice, and climate change. We conclude that, in certain domains, natural gas looks beneficial (e.g., economically for some), but when considered more expansively, through the life cycle of natural gas and joint lenses of public health, environmental justice, and climate change, natural gas is rendered an undesirable energy source in the United States. A holistic climate health equity framework can inform how we value and deploy different energy sources in the service of public health.
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Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Lara J. Cushing
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Jonathan J. Buonocore
- Center for Climate, Health, and the Global Environment, T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- Department of Environmental Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Nicole C. Deziel
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Joan A. Casey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington
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9
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Morello-Frosch R, Obasogie OK. The Climate Gap and the Color Line - Racial Health Inequities and Climate Change. N Engl J Med 2023; 388:943-949. [PMID: 36884328 DOI: 10.1056/nejmsb2213250] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Affiliation(s)
- Rachel Morello-Frosch
- From the Department of Environmental Science, Policy, and Management and the Divisions of Environmental Health Sciences and Community Health Sciences, School of Public Health (R.M.-F.), and the School of Law and Joint Medical Program, School of Public Health (O.K.O.), University of California, Berkeley
| | - Osagie K Obasogie
- From the Department of Environmental Science, Policy, and Management and the Divisions of Environmental Health Sciences and Community Health Sciences, School of Public Health (R.M.-F.), and the School of Law and Joint Medical Program, School of Public Health (O.K.O.), University of California, Berkeley
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González DJX, Morton CM, Hill LAL, Michanowicz DR, Rossi RJ, Shonkoff SBC, Casey JA, Morello‐Frosch R. Temporal Trends of Racial and Socioeconomic Disparities in Population Exposures to Upstream Oil and Gas Development in California. GEOHEALTH 2023; 7:e2022GH000690. [PMID: 36968155 PMCID: PMC10035325 DOI: 10.1029/2022gh000690] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/30/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
People living near oil and gas development are exposed to multiple environmental stressors that pose health risks. Some studies suggest these risks are higher for racially and socioeconomically marginalized people, which may be partly attributable to disparities in exposures. We examined whether racially and socioeconomically marginalized people in California are disproportionately exposed to oil and gas wells and associated hazards. We longitudinally assessed exposure to wells during three time periods (2005-2009, 2010-2014, and 2015-2019) using sociodemographic data at the census block group-level. For each block group and time period, we assessed exposure to new, active, retired, and plugged wells, and cumulative production volume. We calculated risk ratios to determine whether marginalized people disproportionately resided near wells (within 1 km). Averaged across the three time periods, we estimated that 1.1 million Californians (3.0%) lived within 1 km of active wells. Nearly 9 million Californians (22.9%) lived within 1 km of plugged wells. The proportion of Black residents near active wells was 42%-49% higher than the proportion of Black residents across California, and the proportion of Hispanic residents near active wells was 4%-13% higher than their statewide proportion. Disparities were greatest in areas with the highest oil and gas production, where the proportion of Black residents was 105%-139% higher than statewide. Socioeconomically marginalized residents also had disproportionately high exposure to wells. Though oil and gas production has declined in California, marginalized communities persistently had disproportionately high exposure to wells, potentially contributing to health disparities.
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Affiliation(s)
- David J. X. González
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- Department of Environmental Science, Policy, and ManagementUniversity of California, BerkeleyBerkeleyCAUSA
| | - Claire M. Morton
- Mathematical and Computational Science ProgramStanford UniversityStanfordCAUSA
| | | | | | | | - Seth B. C. Shonkoff
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- PSE Healthy EnergyOaklandCAUSA
- Lawrence Berkeley National LaboratoryEnergy Technologies AreaBerkeleyCAUSA
| | - Joan A. Casey
- Department of Environmental Health SciencesColumbia UniversityNew YorkNYUSA
- Department of Environmental and Occupational Health SciencesUniversity of WashingtonSeattleWAUSA
| | - Rachel Morello‐Frosch
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- Department of Environmental Science, Policy, and ManagementUniversity of California, BerkeleyBerkeleyCAUSA
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11
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Willis MD, Carozza SE, Hystad P. Congenital anomalies associated with oil and gas development and resource extraction: a population-based retrospective cohort study in Texas. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:84-93. [PMID: 36460921 PMCID: PMC9852077 DOI: 10.1038/s41370-022-00505-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 05/02/2023]
Abstract
BACKGROUND Oil and gas extraction-related activities produce air and water pollution that contains known and suspected teratogens. To date, health impacts of in utero exposure to these activities is largely unknown. OBJECTIVE We investigated associations between in utero exposure to oil and gas extraction activity in Texas, one of the highest producers of oil and gas, and congenital anomalies. METHODS We created a population-based birth cohort between 1999 and 2009 with full maternal address at delivery and linked to the statewide congenital anomaly surveillance system (n = 2,234,138 births, 86,315 cases). We examined extraction-related exposures using tertiles of inverse distance-squared weighting within 5 km for drilling site count, gas production, oil production, and produced water. In adjusted logistic regression models, we calculated odds of any congenital anomaly and 10 specific organ sites using two comparison groups: 1) 5 km of future drilling sites that are not yet operating (a priori main models), and 2) 5-10 km of an active well. RESULTS Using the temporal comparison group, we find increased odds of any congenital anomaly in the highest tertile exposure group for site count (OR: 1.25; 95% CI: 1.21, 1.30), oil production (OR: 1.08; 95% CI: 1.04, 1.12), gas production (1.20; 95% CI: 1.17, 1.23), and produced water (OR: 1.17; 95% CI: 1.14, 1.20). However, associations did not follow a consistent exposure-response pattern across tertiles. Associations are highly attenuated, but still increased, with the spatial comparison group in the highest tertile exposure group. Cardiac and circulatory defects are strongly and consistently associated with all exposure metrics. SIGNIFICANCE Increased odds of congenital anomalies, particularly cardiac and circulatory defects, were associated with exposures related to oil and gas extraction in this large population-based study. Future research is needed to confirm findings, examine specific exposure pathways, and identify potential avenues to reduce exposures among local populations. IMPACT About 5% of the U.S. population (~17.6 million people) resides within 1.6 km of an active oil or gas extraction site, yet the influence of this industry on population health is not fully understood. In this analysis, we examined associations between oil and gas extraction-related exposures and congenital anomalies by organ site using birth certificate and congenital anomaly surveillance data in Texas (1999-2009). Increased odds of congenital anomalies, particularly cardiac and circulatory defects, were associated with exposures related to oil and gas extraction in this large population-based study. Future research is needed to confirm these findings.
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Affiliation(s)
- Mary D Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA.
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
| | - Susan E Carozza
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
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12
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Gonzalez DJX, Nardone A, Nguyen AV, Morello-Frosch R, Casey JA. Historic redlining and the siting of oil and gas wells in the United States. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:76-83. [PMID: 35418707 PMCID: PMC9556657 DOI: 10.1038/s41370-022-00434-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/17/2022] [Accepted: 03/23/2022] [Indexed: 05/15/2023]
Abstract
BACKGROUND The presence of active or inactive (i.e., postproduction) oil and gas wells in neighborhoods may contribute to ongoing pollution. Racially discriminatory neighborhood security maps developed by the Home-Owners Loan Corporation (HOLC) in the 1930s may contribute to environmental exposure disparities. OBJECTIVE To determine whether receiving worse HOLC grades was associated with exposure to more oil and gas wells. METHODS We assessed exposure to oil and gas wells among HOLC-graded neighborhoods in 33 cities from 13 states where urban oil and gas wells were drilled and operated. Among the 17 cities for which 1940 census data were available, we used propensity score restriction and matching to compare well exposure neighborhoods that were similar on observed 1940 sociodemographic characteristics but that received different grades. RESULTS Across all included cities, redlined D-graded neighborhoods had 12.2 ± 27.2 wells km-2, nearly twice the density in neighborhoods graded A (6.8 ± 8.9 wells km-2). In propensity score restricted and matched analyses, redlined neighborhoods had 2.0 (1.3, 2.7) more wells than comparable neighborhoods with a better grade. SIGNIFICANCE Our study adds to the evidence that structural racism in federal policy is associated with the disproportionate siting of oil and gas wells in marginalized neighborhoods.
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Affiliation(s)
- David J X Gonzalez
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA.
| | - Anthony Nardone
- University of California (UC) Berkeley-UC San Francisco (UCSF) Joint Medical Program, UC Berkeley School of Public Health and UCSF School of Medicine, Berkeley and San Francisco, CA, USA
| | - Andrew V Nguyen
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Rachel Morello-Frosch
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
| | - Joan A Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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Schuele H, Baum CF, Landrigan PJ, Hawkins SS. Associations between proximity to gas production activity in counties and birth outcomes across the US. Prev Med Rep 2022; 30:102007. [PMID: 36245806 PMCID: PMC9554803 DOI: 10.1016/j.pmedr.2022.102007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 10/01/2022] [Indexed: 11/05/2022] Open
Abstract
Despite mounting evidence on the health effects of natural gas development (NGD), including hydraulic fracturing (“fracking”), existing research has been constrained to high-producing states, limiting generalizability. To expand the scope of previous research, we examined the associations between prenatal exposure and NGD production activity in 28 states on birth outcomes overall and by race/ethnicity. We linked 2005–2018 county-level microdata natality files on 33,849,409 singleton births from 1984 counties in 28 states with nine-month county-level averages of NGD production by both conventional and unconventional production methods, based on month/year of birth. We estimated linear regression models for birth weight and gestational age and probit models for the dichotomous outcomes of low birth weight, preterm birth, and small-for-gestational age. We subsequently examined interactions between women’s race/ethnicity and NGD production. We found that 53.8% of counties had NGD production activity. A 10% increase in NGD production in a county was associated with a decrease in mean birth weight by 1.48 g (95% CI = −2.60, −0.37), with reductions of 10.19 g (−13.56, −6.81) for infants born to Black women and 2.76 g (−5.05, −0.46) for infants born to Asian women. A 10% increase in NGD production in a county was associated with an increased risk of infants born low birth weight (0.0008; 95% CI = 0.0006, 0.0010) or small-for-gestational age (0.0018; 95% CI = 0.0015, 0.0022), particularly among infants born to Black women. In sum, NGD for energy production has negative impacts on the health of infants, with greatest effects in infants born to minoritized women.
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Affiliation(s)
- Hailee Schuele
- Boston College, School of Social Work, Chestnut Hill, MA, USA
| | - Christopher F. Baum
- Boston College, School of Social Work, Chestnut Hill, MA, USA,Boston College, Department of Economics, Chestnut Hill, MA, USA,German Institute for Economic Research (DIW Berlin), Department of Macroeconomics, Berlin, USA
| | - Philip J. Landrigan
- Program for Global Public Health and the Common Good, Global Observatory on Pollution and Health, Boston College, Chestnut Hill, MA, USA
| | - Summer Sherburne Hawkins
- Boston College, School of Social Work, Chestnut Hill, MA, USA,Corresponding author at: Boston College, School of Social Work, McGuinn Hall, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA.
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Deziel NC, Clark CJ, Casey JA, Bell ML, Plata DL, Saiers JE. Assessing Exposure to Unconventional Oil and Gas Development: Strengths, Challenges, and Implications for Epidemiologic Research. Curr Environ Health Rep 2022; 9:436-450. [PMID: 35522388 PMCID: PMC9363472 DOI: 10.1007/s40572-022-00358-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2022] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW Epidemiologic studies have observed elevated health risks in populations living near unconventional oil and gas development (UOGD). In this narrative review, we discuss strengths and limitations of UOG exposure assessment approaches used in or available for epidemiologic studies, emphasizing studies of children's health outcomes. RECENT FINDINGS Exposure assessment challenges include (1) numerous potential stressors with distinct spatiotemporal patterns, (2) critical exposure windows that cover long periods and occur in the past, and (3) limited existing monitoring data coupled with the resource-intensiveness of collecting new exposure measurements to capture spatiotemporal variation. All epidemiologic studies used proximity-based models for exposure assessment as opposed to surveys, biomonitoring, or environmental measurements. Nearly all studies used aggregate (rather than pathway-specific) models, which are useful surrogates for the complex mix of potential hazards. Simple and less-specific exposure assessment approaches have benefits in terms of scalability, interpretability, and relevance to specific policy initiatives such as set-back distances. More detailed and specific models and metrics, including dispersion methods and stressor-specific models, could reduce exposure misclassification, illuminate underlying exposure pathways, and inform emission control and exposure mitigation strategies. While less practical in a large population, collection of multi-media environmental and biological exposure measurements would be feasible in cohort subsets. Such assessments are well-suited to provide insights into the presence and magnitude of exposures to UOG-related stressors in relation to spatial surrogates and to better elucidate the plausibility of observed effects in both children and adults.
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Affiliation(s)
- Nicole C. Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College St., New Haven, CT 06510 USA
| | - Cassandra J. Clark
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College St., New Haven, CT 06510 USA
| | - Joan A. Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, 630 West 168th Street, Room 16-416, New York, NY 10032 USA
| | - Michelle L. Bell
- Yale School of the Environment, 195 Prospect St., New Haven, CT 06511 USA
| | - Desiree L. Plata
- Department of Civil and Environmental Engineering, Parsons Laboratory, Massachusetts Institute of Technology, 15 Vassar Street, Cambridge, MA 02139 USA
| | - James E. Saiers
- Yale School of the Environment, 195 Prospect St., New Haven, CT 06511 USA
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15
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Willis MD, Hill EL, Kile ML, Carozza S, Hystad P. Associations between residential proximity to oil and gas extraction and hypertensive conditions during pregnancy: a difference-in-differences analysis in Texas, 1996-2009. Int J Epidemiol 2022; 51:525-536. [PMID: 34897479 PMCID: PMC9082796 DOI: 10.1093/ije/dyab246] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/09/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Oil and gas extraction produces air pollutants that are associated with increased risks of hypertension. To date, no study has examined residential proximity to oil and gas extraction and hypertensive conditions during pregnancy. This study quantifies associations between residential proximity to oil and gas development on gestational hypertension and eclampsia. METHODS We utilized a population-based retrospective birth cohort in Texas (1996-2009), where mothers reside <10 km from an active or future drilling site (n = 2 845 144.) Using full-address data, we linked each maternal residence at delivery to assign exposure and evaluate this exposure with respect to gestational hypertension and eclampsia. In a difference-in-differences framework, we model the interaction between maternal health before (unexposed) or after (exposed) the start of drilling activity (exposed) and residential proximity near (0-1, >1-2 or >2-3 km) or far (≥3-10 km) from an active or future drilling site. RESULTS Among pregnant women residing 0-1 km from an active oil or gas extraction site, we estimate 5% increased odds of gestational hypertension [95% confidence interval (CI): 1.00, 1.10] and 26% increased odds of eclampsia (95% CI: 1.05, 1.51) in adjusted models. This association dissipates in the 1- to 3-km buffer zones. In restricted models, we find elevated odds ratios among maternal ages ≤35 years at delivery, maternal non-Hispanic White race, ≥30 lbs gained during pregnancy, nulliparous mothers and maternal educational attainment beyond high school. CONCLUSIONS Living within 1 km of an oil or gas extraction site during pregnancy is associated with increased odds of hypertensive conditions during pregnancy.
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Affiliation(s)
- Mary D Willis
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Elaine L Hill
- Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA
| | - Molly L Kile
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Susan Carozza
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
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16
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Proximity and density of unconventional natural gas wells and mental illness and substance use among pregnant individuals: An exploratory study in Canada. Int J Hyg Environ Health 2022; 242:113962. [DOI: 10.1016/j.ijheh.2022.113962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/24/2022] [Accepted: 03/12/2022] [Indexed: 11/23/2022]
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17
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Gonzalez DJX, Francis CK, Shaw GM, Cullen MR, Baiocchi M, Burke M. Upstream oil and gas production and ambient air pollution in California. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150298. [PMID: 34844318 DOI: 10.1016/j.scitotenv.2021.150298] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 08/31/2021] [Accepted: 09/07/2021] [Indexed: 05/28/2023]
Abstract
BACKGROUND Prior studies have found that residential proximity to upstream oil and gas production is associated with increased risk of adverse health outcomes. Emissions of ambient air pollutants from oil and gas wells in the preproduction and production stages have been proposed as conferring risk of adverse health effects, but the extent of air pollutant emissions and resulting nearby pollution concentrations from wells is not clear. OBJECTIVES We examined the effects of upstream oil and gas preproduction (count of drilling sites) and production (total volume of oil and gas) activities on concentrations of five ambient air pollutants in California. METHODS We obtained data on approximately 1 million daily observations from 314 monitors in the EPA Air Quality System, 2006-2019, including daily concentrations of five routinely monitored ambient air pollutants: PM2.5, CO, NO2, O3, and VOCs. We obtained data on preproduction and production operations from Enverus and the California Geographic Energy Management Division (CalGEM) for all wells in the state. For each monitor and each day, we assessed exposure to upwind preproduction wells and total oil and gas production volume within 10 km. We used a panel regression approach in the analysis and fit adjusted fixed effects linear regression models for each pollutant, controlling for geographic, seasonal, temporal, and meteorological factors. RESULTS We observed higher concentrations of PM2.5 and CO at monitors within 3 km of preproduction wells, NO2 at monitors at 1-2 km, and O3 at 2-4 km from the wells. Monitors with proximity to increased production volume observed higher concentrations of PM2.5, NO2, and VOCs within 1 km and higher O3 concentrations at 1-2 km. Results were robust to sensitivity analyses. CONCLUSION Adjusting for geographic, meteorological, seasonal, and time-trending factors, we observed higher concentrations of ambient air pollutants at air quality monitors in proximity to preproduction wells within 4 km and producing wells within 2 km.
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Affiliation(s)
- David J X Gonzalez
- Department of Environmental Science, Policy and Management and School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA; Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, USA.
| | - Christina K Francis
- Program in Environmental Science and Studies, Johns Hopkins University, Baltimore, MD, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Mark R Cullen
- Founding Director of the Stanford Center for Population Health Sciences, USA
| | - Michael Baiocchi
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Marshall Burke
- Department of Earth System Science, School of Earth, Energy and Environmental Sciences, Stanford University, Stanford, CA, USA
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18
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Costello JM, Steurer MA, Baer RJ, Witte JS, Jelliffe-Pawlowski LL. Residential particulate matter, proximity to major roads, traffic density and traffic volume as risk factors for preterm birth in California. Paediatr Perinat Epidemiol 2022; 36:70-79. [PMID: 34797570 DOI: 10.1111/ppe.12820] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 08/26/2021] [Accepted: 08/30/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND While pollution from vehicle sources is an established risk factor for preterm birth, it is unclear whether distance of residence to the nearest major road or related measures like major road density represent useful measures for characterising risk. OBJECTIVE To determine whether major road proximity measures (including distance to major road, major road density and traffic volume) are more useful risk factors for preterm birth than other established vehicle-related measures (including particulate matter <2.5 μm in diameter (PM2.5 ) and diesel particulate matter (diesel PM)). METHODS This retrospective cohort study included 2.7 million births across the state of California from 2011-2017; each address at delivery was geocoded. Geocoding was used to calculate distance to the nearest major road, major road density within a 500 m radius and major road density weighted by truck volume. We measured associations with preterm birth using risk ratios adjusted for target demographic, clinical, socioeconomic and environmental covariates (aRRs). We compared these to the associations between preterm birth and PM2.5 and diesel PM by census tract of residence. RESULTS Findings showed that whereas higher mean levels of PM2.5 and diesel PM by census tract were associated with a higher risk of preterm birth, living closer to roads or living in higher traffic density areas was not associated with higher risk. Residence in a census tract with a mean PM2.5 in the top quartile compared with the lowest quartile was associated with the highest observed risk of preterm birth (aRR 1.04, 95% CI 1.04, 1.05). CONCLUSIONS Over a large geographical region with a diverse population, PM2.5 and diesel PM were associated with preterm birth, while measures of distance to major road were not, suggesting that these distance measures do not serve as a proxy for measures of particulate matter in the context of preterm birth.
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Affiliation(s)
- Jean M Costello
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Martina A Steurer
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.,Department of Paediatrics, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Rebecca J Baer
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.,Department of Paediatrics, University of California San Diego, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology & Population Health, Stanford University, Stanford, CA, USA.,Department of Biology, Stanford University, Stanford, CA, USA
| | - Laura L Jelliffe-Pawlowski
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
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19
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Residential proximity to hydraulically fractured oil and gas wells and adverse birth outcomes in urban and rural communities in California (2006-2015). Environ Epidemiol 2021; 5:e172. [PMID: 34909552 PMCID: PMC8663888 DOI: 10.1097/ee9.0000000000000172] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/15/2021] [Indexed: 11/28/2022] Open
Abstract
Supplemental Digital Content is available in the text. Background: Prenatal exposure to hydraulic fracturing (HF), a chemically intensive oil and gas extraction method, may be associated with adverse birth outcomes, but no health studies have been conducted in California. Methods: We conducted a retrospective cohort study of 979,961 births to mothers in eight California counties with HF between 2006 and 2015. Exposed individuals had at least 1 well hydraulically fractured within 1 km of their residence during pregnancy; the reference population had no wells within 1 km, but at least one oil/gas well within 10 km. We examined associations between HF and low birth weight (LBW), preterm birth (PTB), small for gestational age birth (SGA), and term birth weight (tBW) using generalized estimating equations and assessing urban-rural effect modification in stratified models. Results: Fewer than 1% of mothers (N = 1,192) were exposed to HF during pregnancy. Among rural mothers, HF exposure was associated with increased odds of LBW (odds ratio [OR] = 1.74; 95% confidence interval [CI] = 1.10, 2.75), SGA (OR = 1.68; 95% CI = 1.42, 2.27) and PTB (OR = 1.17; 95% CI = 0.64, 2.12), and lower tBW (mean difference: –73 g; 95% CI = –131, –15). Among urban mothers, HF exposure was positively associated with SGA (OR = 1.23; 95% CI = 0.98, 1.55), inversely associated with LBW (OR = 0.83; 95% CI = 0.63, 1.07) and PTB (OR = 0.65; 95% CI = 0.48, 0.87), and not associated with tBW (mean difference: –2 g; 95% CI = –35, 31). Conclusion: HF proximity was associated with adverse birth outcomes, particularly among rural Californians.
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20
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Casey JA, Cushing L, Depsky N, Morello-Frosch R. Climate Justice and California's Methane Superemitters: Environmental Equity Assessment of Community Proximity and Exposure Intensity. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14746-14757. [PMID: 34668703 PMCID: PMC8936179 DOI: 10.1021/acs.est.1c04328] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Methane superemitters emit non-methane copollutants that are harmful to human health. Yet, no prior studies have assessed disparities in exposure to methane superemitters with respect to race/ethnicity, socioeconomic status, and civic engagement. To do so, we obtained the location, category (e.g., landfill, refinery), and emission rate of California methane superemitters from Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) flights conducted between 2016 and 2018. We identified block groups within 2 km of superemitters (exposed) and 5-10 km away (unexposed) using dasymetric mapping and assigned level of exposure among block groups within 2 km (measured via number of superemitter categories and total methane emissions). Analyses included 483 superemitters. The majority were dairy/manure (n = 213) and oil/gas production sites (n = 127). Results from fully adjusted logistic mixed models indicate environmental injustice in methane superemitter locations. For example, for every 10% increase in non-Hispanic Black residents, the odds of exposure increased by 10% (95% confidence interval (CI): 1.04, 1.17). We observed similar disparities for Hispanics and Native Americans but not with indicators of socioeconomic status. Among block groups located within 2 km, increasing proportions of non-White populations and lower voter turnout were associated with higher superemitter emission intensity. Previously unrecognized racial/ethnic disparities in exposure to California methane superemitters should be considered in policies to tackle methane emissions.
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Affiliation(s)
- Joan A. Casey
- Columbia University Mailman School of Public Health, Department of Environmental Health Sciences, New York, NY 10034, USA
- Co-corresponding authors: ,
| | - Lara Cushing
- University of California, Los Angeles Fielding School of Public Health, Department of Environmental Health Sciences, Los Angeles, CA 90095, USA
| | - Nicholas Depsky
- University of California, Berkeley, Energy and Resources Group, Berkeley, CA 94720, USA
| | - Rachel Morello-Frosch
- University of California, Berkeley, Department of Environmental Science, Policy and Management and School of Public Health, Berkeley, CA 94720, USA
- Co-corresponding authors: ,
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21
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Willis MD, Hill EL, Boslett A, Kile ML, Carozza SE, Hystad P. Associations between Residential Proximity to Oil and Gas Drilling and Term Birth Weight and Small-for-Gestational-Age Infants in Texas: A Difference-in-Differences Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:77002. [PMID: 34287013 PMCID: PMC8293911 DOI: 10.1289/ehp7678] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
BACKGROUND Oil and natural gas extraction may produce environmental pollution at levels that affect reproductive health of nearby populations. Available studies have primarily focused on unconventional gas drilling and have not accounted for local population changes that can coincide with drilling activity. OBJECTIVE Our study sought to examine associations between residential proximity to oil and gas drilling and adverse term birth outcomes using a difference-in-differences study design. METHODS We created a retrospective population-based term birth cohort in Texas between 1996 and 2009 composed of mother-infant dyads (n=2,598,025) living <10km from an oil or gas site. We implemented a difference-in-differences approach to estimate associations between drilling activities and infant health: term birth weight and term small for gestational age (SGA). Using linear and logistic regression, we modeled interactions between births before (unexposed) or during (exposed) drilling activity and residential proximity near (0-1, 1-2, or 2-3km) or far (3-10km) from an active or future drilling site, adjusting for individual- and neighborhood-level characteristics. RESULTS The adjusted mean difference in term birth weight for mothers living 0-1 vs. 3-10km from a current or future drilling site was -7.3g [95% confidence interval (CI): -11.6, -3.0] for births during active vs. future drilling. The corresponding adjusted odds ratio for SGA was 1.02 (95% CI: 0.98, 1.06). Negative associations with term birth weight were observed for the 1-2 and 2-3km near groups, and no consistent differences were identified by type of drilling activity. Larger, though imprecise, adverse associations were found for infants born to Hispanic women, women with the lowest educational attainment, and women living in cities. CONCLUSIONS Residing near oil and gas drilling sites during pregnancy was associated with a small reduction in term birth weight but not SGA, with some evidence of environmental injustices. Additional work is needed to investigate specific drilling-related exposures that might explain these associations. https://doi.org/10.1289/EHP7678.
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Affiliation(s)
- Mary D Willis
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Elaine L Hill
- Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
| | - Andrew Boslett
- Department of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA
- Rochester Data Science Consortium, Rochester, New York, USA
| | - Molly L Kile
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Susan E Carozza
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
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22
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Johnston JE, Enebish T, Eckel SP, Navarro S, Shamasunder B. Respiratory health, pulmonary function and local engagement in urban communities near oil development. ENVIRONMENTAL RESEARCH 2021; 197:111088. [PMID: 33794173 PMCID: PMC8579779 DOI: 10.1016/j.envres.2021.111088] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 05/28/2023]
Abstract
BACKGROUND Modern oil development frequently occurs in close proximity to human populations. Los Angeles, California is home to the largest urban oil field in the country with thousands of active oil and gas wells in very close proximity to homes, schools and parks, yet few studies have investigated potential health impacts. The neighborhoods along the Las Cienagas oil fields are situated in South LA, densely populated by predominantly low-income Black and Latinx families, many of whom are primarily Spanish-speakers. METHODS A cross-sectional community-based study was conducted between January 2017 and August 2019 among residents living <1000 m from two oil wells (one active, one idle) in the Las Cienagas oil field. We collected self-reported acute health symptoms and measured FEV1 (forced expiratory volume in the first second of exhalation) and FVC (forced vital capacity). We related lung function measures to distance and direction from an oil and gas development site using generalized linear models adjusted for covariates. RESULTS A total of 961 residents from two neighborhoods participated, the majority of whom identify as Latinx. Participants near active oil development reported significantly higher prevalence of wheezing, eye and nose irritation, sore throat and dizziness in the past 2 weeks. Among 747 valid spirometry tests, we observe that living near (less than 200 m) of oil operations was associated with, on average, -112 mL lower FEV1 (95% CI: -213, -10) and -128 mL lower FVC (95% CI: -252, -5) compared to residents living more than 200 m from the sites after adjustments for covariates, including age, sex, height, proximity to freeway, asthma status and smoking status. When accounting for predominant wind direction and proximity, we observe that residents living downwind and less than 200 m from oil operations have, on average, -414 mL lower FEV1 (95% CI: -636, -191) and -400 mL lower FVC (95% CI: -652, -147) compared to residents living upwind and more than 200 m from the wells. CONCLUSIONS Living nearby and downwind of urban oil and gas development sites is associated with lower lung function among residents, which may contribute to environmental health disparities.
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Affiliation(s)
- Jill E Johnston
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Temuulen Enebish
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Bhavna Shamasunder
- Department of Urban & Environmental Policy, Occidental College, Los Angeles, CA, USA
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23
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Tang IW, Langlois PH, Vieira VM. Birth defects and unconventional natural gas developments in Texas, 1999-2011. ENVIRONMENTAL RESEARCH 2021; 194:110511. [PMID: 33245885 DOI: 10.1016/j.envres.2020.110511] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/09/2020] [Accepted: 11/17/2020] [Indexed: 06/11/2023]
Abstract
Unconventional natural gas developments (UNGD) may release air and water pollutants into the environment, potentially increasing the risk of birth defects. We conducted a case-control study evaluating 52,955 cases with birth defects and 642,399 controls born between 1999 and 2011 to investigate the relationship between UNGD exposure and the risk of gastroschisis, congenital heart defects (CHD), neural tube defects (NTDs), and orofacial clefts in Texas. We calculated UNGD densities (number of UNGDs per area) within 1, 3, and 7.5 km of maternal address at birth and categorized exposure by density tertiles. For CHD subtypes with large case numbers, we also performed time-stratified analyses to examine temporal trends. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the association with UNGD exposure, accounting for maternal characteristics and neighborhood factors. We also included a bivariable smooth of geocoded maternal location in an additive model to account for unmeasured spatially varying risk factors. Positive associations were observed between the highest tertile of UNGD density within 1 km of maternal address and risk of anencephaly (aOR: 2.44, 95% CI: 1.55, 3.86), spina bifida (aOR: 2.09, 95% CI: 1.47, 2.99), gastroschisis among older mothers (aOR: 3.19, 95% CI: 1.77, 5.73), aortic valve stenosis (aOR: 1.90, 95% CI: 1.33, 2.71), hypoplastic left heart syndrome (aOR: 2.00, 95% CI: 1.39, 2.86), and pulmonary valve atresia or stenosis (aOR: 1.36, 95% CI: 1.10, 1.66). For CHD subtypes, results did not differ substantially by distance from maternal address or when residual confounding was considered, except for atrial septal defects. We did not observe associations with orofacial clefts. Our results suggest that UNGDs were associated with some CHDs and possibly NTDs. In addition, we identified temporal trends and observed presence of spatial residual confounding for some CHDs.
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Affiliation(s)
- Ian W Tang
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, USA.
| | - Peter H Langlois
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health Austin Regional Campus, Austin, TX, USA
| | - Verónica M Vieira
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, USA
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24
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Partridge T, Barandiaran J, Walsh C, Bakardzhieva K, Bronstein L, Hernandez M. California oil: Bridging the gaps between local decision-making and state-level climate action. THE EXTRACTIVE INDUSTRIES AND SOCIETY 2020; 7:1354-1359. [PMID: 32837934 PMCID: PMC7428750 DOI: 10.1016/j.exis.2020.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 06/11/2023]
Abstract
California has set ambitious climate policies, including economy-wide carbon neutrality by 2045. Yet levels of oil production and consumption remain high in the state. This gap between California's oil politics and its climate ambitions is deepened by decentralized decision-making processes. County officials are tasked with extractive planning decisions that have wide-ranging implications. In this Viewpoint article, we analyze proposals for enhanced extraction at the Cat Canyon oilfield in Santa Barbara County. After two of three proposals were withdrawn in recent months, we highlight how it has been oil industry volatility and public opposition - rather than state regulations - that have brought county development plans into closer alignment with state climate goals. As California pursues a goal of 'managing the decline' of domestic oil production, we identify strategies for bridging such gaps between local decision-making and state-level climate action, including: a comprehensive state-wide ban on new enhanced oil extraction projects; a 2,500 ft buffer zone around extraction sites; and revenue generation schemes that support a just transition. As Covid-19 forces an oil surplus and lowered production, there are opportunities to enact such changes - particularly by redirecting oil industry labor toward the growing problem of well decommissioning.
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Affiliation(s)
- Tristan Partridge
- Institute for Social, Behavioral and Economic Research, University of California, Santa Barbara, CA 93106-2150, United States
| | - Javiera Barandiaran
- Department of Global Studies, University of California, Santa Barbara, CA 93106-7065, United States
| | - Casey Walsh
- Department of Anthropology, University of California, Santa Barbara, CA 93106-3210, United States
| | - Kalina Bakardzhieva
- Department of Global Studies, University of California, Santa Barbara, CA 93106-7065, United States
| | - Leah Bronstein
- Department of Global Studies, University of California, Santa Barbara, CA 93106-7065, United States
| | - Monica Hernandez
- Department of Environmental Studies, University of California, Santa Barbara, CA 93106-4160, United States
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25
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Reply to Schade G. Comment on Hess et al. "Assessing Agreement in Exposure Classifications between Proximity-Based Metrics and Air Monitoring Data in Epidemiology Studies of Unconventional Resource Development.". INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165801. [PMID: 32796578 PMCID: PMC7459469 DOI: 10.3390/ijerph17165801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 07/08/2020] [Indexed: 11/29/2022]
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