Evidence map›Paper›PMID 36282504›Full record

ArticleJAMA network open2022

Association Between Ambient Air Pollution and Birth Weight by Maternal Individual- and Neighborhood-Level Stressors.

Zhongzheng Niu, Rima Habre, Thomas A Chavez, Tingyu Yang, Brendan H Grubbs, Sandrah P Eckel, Kiros Berhane, Claudia M Toledo-Corral, Jill Johnston, Genevieve F Dunton and 7 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
    Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Distributed lag interaction model with index modification.Biostatistics (Oxford, England) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Predicting Low Birth Weight in Big Cities in the United States Using a Machine Learning Approach.International journal of environmental research and public health · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Zhongzheng NiuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Rima HabreDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Thomas A ChavezDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Tingyu YangDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Brendan H GrubbsDepartment of Obstetrics and Gynecology, University of Southern California, Los Angeles.
Sandrah P EckelDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Kiros BerhaneDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York.
Claudia M Toledo-CorralDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Jill JohnstonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Genevieve F DuntonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Deborah LernerEisner Health, Los Angeles, California.
Laila Al-MarayatiDepartment of Obstetrics and Gynecology, University of Southern California, Los Angeles.
Fred LurmannSonoma Technology Inc, Petaluma, California.
Nathan PavlovicSonoma Technology Inc, Petaluma, California.
Shohreh F FarzanDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Theresa M BastainDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Carrie V BretonDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
University of Southern California · USSonoma Technology (United States) · USColumbia University · US

Funding

Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Project 3: Maternal Exposure to Environmental Hazards and Psychosocial Stressors and Postpartum Allostatic LoadP50MD015705 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FARZAN, SHOHREH F · 2020 to 2024
$8.1M
Prenatal air pollution, fetal development and early childhood obesity riskR01ES027409 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRETON, CARRIE VAN DOREN · 2018 to 2022
$3.3M
NIEHS NIH HHS R01 ES027409NIH HHS UH3 OD023287NIMHD NIH HHS P50 MD015705
6 · The paper itself

Abstract

Importance: Fetal growth is precisely programmed and could be interrupted by environmental exposures during specific times during pregnancy. Insights on potential sensitive windows of air pollution exposure in association with birth weight are needed. Objective: To examine the association of sensitive windows of ambient air pollution exposure with birth weight and heterogeneity by individual- and neighborhood-level stressors. Design, Setting, and Participants: Data on a cohort of low-income Hispanic women with singleton term pregnancy were collected from 2015 to 2021 in the ongoing Maternal and Developmental Risks from Environmental and Social Stressors cohort in Los Angeles, California. Exposures: Daily ambient particulate matter with aerodynamic diameter less than 10 μm (PM10) and aerodynamic diameter less than 2.5 μm (PM2.5), nitrogen dioxide (NO2), and 8-hour maximum ozone were assigned to residential locations. Weekly averages from 12 weeks before conception to 36 gestational weeks were calculated. Individual-level psychological stressor was measured by the Perceived Stress Scale. Neighborhood-level stressor was measured by the CalEnviroScreen 4.0. Main Outcomes and Measures: Sex-specific birth weight for gestational age z score (BWZ). The associations between air pollutant and BWZ were estimated using distributed lag models to identify sensitive windows of exposure, adjusting for maternal and meteorologic factors. We stratified the analyses by Perceived Stress Scale and CalEnviroScreen 4.0. We converted the effect size estimation in BWZ to grams to facilitate interpretation. Results: The study included 628 pregnant women (mean [SD] age, 22.18 [5.92] years) and their newborns (mean [SD] BWZ, -0.08 [1.03]). On average, an interquartile range (IQR) increase in PM2.5 exposure during 4 to 22 gestational weeks was associated with a -9.5 g (95% CI, -10.4 to -8.6 g) change in birth weight. In stratified models, PM2.5 from 4 to 24 gestational weeks was associated with a -34.0 g (95% CI, -35.7 to -32.4 g) change in birth weight and PM10 from 9 to 14 gestational weeks was associated with a -39.4 g (95% CI, -45.4 to -33.4) change in birth weight in the subgroup with high Perceived Stress Scale and high CalEnviroScreen 4.0 scores. In this same group, NO2 from 9 to 14 gestational weeks was associated with a -40.4 g (95% CI, -47.4 to -33.3 g) change in birth weight and, from 33 to 36 gestational weeks, a -117.6 g (95% CI, -125.3 to -83.7 g) change in birth weight. Generally, there were no significant preconception windows for any air pollutants or ozone exposure with birth weight. Conclusions and Relevance: In this cohort study, early pregnancy to midpregnancy exposures to PM2.5, PM10, and NO2 were associated with lower birth weight, particularly for mothers experiencing higher perceived stress and living in a neighborhood with a high level of stressors from environmental pollution.

Indexed as

Air PollutantsAir PollutionOzoneAdultBirth WeightCohort StudiesFemaleHumansInfant, NewbornMaleNitrogen DioxideParticulate MatterPregnancyYoung AdultAir PollutantsNitrogen DioxideOzoneParticulate Matter

Identifiers

PMID36282504
PMCPMC9597392
OpenAlexW4307405106

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.