Evidence map›Paper›PMID 32832838›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2020

Oil and gas production and spontaneous preterm birth in the San Joaquin Valley, CA: A case-control study.

David J X Gonzalez, Allison R Sherris, Wei Yang, David K Stevenson, Amy M Padula, Michael Baiocchi, Marshall Burke, Mark R Cullen, Gary M Shaw

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. The public health impacts of mining in Australia.The Medical journal of Australia · 2025
    Pooled it
  3. Article
  4. Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
    Article
  5. Article
  6. Review
  7. Impact of oil and gas boom and busts on working-age mortality in the U.S.Environmental epidemiology (Philadelphia, Pa.) · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Sociodemographic and Population Exposure to Upstream Oil and Gas Operations in Canada.International journal of environmental research and public health · 2024
    Article
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

David J X GonzalezEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, California.
Allison R SherrisEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, California.
Wei YangDepartment of Pediatrics, School of Medicine, Stanford University, Stanford, California.
David K StevensonDepartment of Pediatrics, School of Medicine, Stanford University, Stanford, California.
Amy M PadulaDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California at San Francisco, San Francisco, California.
Michael BaiocchiDepartment of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, California.
Marshall BurkeDepartment of Earth System Science, School of Earth, Energy and Environmental Sciences, Stanford University, Stanford, California.
Mark R CullenDepartment of Medicine, School of Medicine, Stanford University, Stanford, California.
Gary M ShawDepartment of Pediatrics, School of Medicine, Stanford University, Stanford, California.
Stanford University · USEnvironmental Earth Sciences · AUUniversity of California, San Francisco · US

Funding

Pesticide Exposures and Risk of Preterm BirthR01HD075761 · NICHD · STANFORD UNIVERSITY · PI SHAW, GARY M · 2013 to 2016
$1.2M
NICHD NIH HHS R01 HD075761
6 · The paper itself

Abstract

backgroundRecent studies report an association between preterm birth and exposure to unconventional oil and gas wells. There has been limited previous study on exposure to conventional wells, which are common in California. Our objective was to determine whether exposure to well sites was associated with increased odds of spontaneous preterm birth (delivery at <37 weeks).

methodsWe conducted a case-control study using data on 27,913 preterm birth cases and 197,461 term birth controls. All births were without maternal comorbidities and were located in the San Joaquin Valley, CA, between 1998 and 2011. We obtained data for 83,559 wells in preproduction or production during the study period. We assessed exposure using inverse distance-squared weighting and, for each birth and trimester, we assigned an exposure tertile. Using logistic regression, we estimated adjusted odds ratios (ORs) for the association between exposure to well sites and preterm birth at 20-27, 28-31, and 32-36 weeks.

resultsWe observed increased ORs for preterm birth with high exposure to wells in the first and second trimesters for births delivered at ≤31 weeks (adjusted ORs, 1.08-1.14). In stratified analyses, the associations were confined to births to Hispanic and non-Hispanic Black women and to women with ≤12 years of educational attainment. In a secondary analysis, we found evidence that exposure to wells in preproduction is associated with higher concentrations of particulate matter.

conclusionsWe found evidence that exposure to oil and gas well sites is associated with increased risk of spontaneous preterm birth.

Indexed as

Ambient air pollutionBirth outcomesOil and gasPreterm birth

Identifiers

PMID32832838
PMCPMC7423522
OpenAlexW3033615907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.