Evidence map›Paper›PMID 32879945›Full record

ArticleInternational journal of epidemiology2021

Natural gas development, flaring practices and paediatric asthma hospitalizations in Texas.

Mary Willis, Perry Hystad, Alina Denham, Elaine Hill

Abstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The public health impacts of mining in Australia.The Medical journal of Australia · 2025
    Pooled it
  3. Pooled it
  4. Article
  5. The Fire That Does Not Go Out: The Neglected Costs of Gas Flaring in Nigeria.International journal of environmental research and public health · 2026
    Article
  6. Impact of oil and gas boom and busts on working-age mortality in the U.S.Environmental epidemiology (Philadelphia, Pa.) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. The human health effects of unconventional oil and gas development (UOGD): A scoping review of epidemiologic studies.Canadian journal of public health = Revue canadienne de sante publique · 2024
    Article
  14. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mary WillisSchool of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA.
Perry HystadSchool of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA.
Alina DenhamDepartment of Public Health Sciences, School of Medicine & Dentistry, University of Rochester, Rochester, NY, USA.
Elaine HillSchool of Biological & Population Health, College of Public Health & Human Sciences, Oregon State University, Corvallis, OR, USA.

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI B Paige Lawrence · 1985 to 2026
$42.8M
Oregon Clinical and Translational Research Institute TL1 ProgramTL1TR002371 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ALLISON Deborah FRYER, JESSINA C MCGREGOR · 2017 to 2026
$6.2M
The Health Consequences of Shale Gas DevelopmentDP5OD021338 · OD · UNIVERSITY OF ROCHESTER · PI HILL, ELAINE L · 2015 to 2019
$1.9M
Environmental Data Integration to Assess Impacts of Shale Gas Development on Perinatal Health Outcomes and Childhood CancersF31ES029801 · NIEHS · OREGON STATE UNIVERSITY · PI WILLIS, MARY D · 2019 to 2020
$55k
NCATS NIH HHS TL1 TR002371NIEHS NIH HHS F31 ES029801NIEHS NIH HHS P30 ES001247NIH HHS DP5 OD021338
6 · The paper itself

Abstract

backgroundRecent advancements in drilling technology led to a rapid increase in natural gas development (NGD). Air pollution may be elevated in these areas and may vary by drilling type (conventional and unconventional), production volume and gas flaring. Impacts of NGD on paediatric asthma are largely unknown. This study quantifies associations between specific NGD activities and paediatric asthma hospitalizations in Texas.

methodsWe leveraged a database of Texas inpatient hospitalizations between 2000 and 2010 at the zip code level by quarter to examine associations between NGD and paediatric asthma hospitalizations, where our primary outcome is 0 vs ≥1 hospitalization. We used quarterly production reports to assess additional drilling-specific exposures at the zip code-level including drilling type, production and gas flaring. We developed logistic regression models to assess paediatric asthma hospitalizations by zip code-quarter-year observations, thus capturing spatiotemporal exposure patterns.

resultsWe observed increased odds of ≥1 paediatric asthma hospitalization in a zip code per quarter associated with increasing tertiles of NGD exposure and show that spatiotemporal variation impacts results. Conventional drilling, compared with no drilling, is associated with odds ratios up to 1.23 [95% confidence interval (CI): 1.13, 1.34], whereas unconventional drilling is associated with odds ratios up to 1.59 (95% CI: 1.46, 1.73). Increasing production volumes are associated with increased paediatric asthma hospitalizations in an exposure-response relationship, whereas associations with flaring volumes are inconsistent.

conclusionsWe found evidence of associations between paediatric asthma hospitalizations and NGD, regardless of drilling type. Practices related to production volume may be driving these positive associations.

Indexed as

AsthmaNatural GasChildEnvironmental ExposureHospitalizationHumansTexasNatural Gasasthmachildren’s healthenvironmental healthflaringNatural gas drillingnatural gas production

Identifiers

PMID32879945
PMCPMC7825956

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.