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


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 10 2022
Historique:
entrez: 25 10 2022
pubmed: 26 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

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. To examine the association of sensitive windows of ambient air pollution exposure with birth weight and heterogeneity by individual- and neighborhood-level stressors. 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. 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. 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. 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. 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.

Identifiants

pubmed: 36282504
pii: 2797628
doi: 10.1001/jamanetworkopen.2022.38174
pmc: PMC9597392
doi:

Substances chimiques

Nitrogen Dioxide S7G510RUBH
Air Pollutants 0
Particulate Matter 0
Ozone 66H7ZZK23N

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2238174

Subventions

Organisme : NIMHD NIH HHS
ID : P50 MD015705
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023287
Pays : United States

Commentaires et corrections

Type : ErratumIn

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Auteurs

Zhongzheng Niu (Z)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Rima Habre (R)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Thomas A Chavez (TA)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Tingyu Yang (T)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Brendan H Grubbs (BH)

Department of Obstetrics and Gynecology, University of Southern California, Los Angeles.

Sandrah P Eckel (SP)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Kiros Berhane (K)

Department of Biostatistics, Mailman School of Public Health, Columbia University, New York.

Claudia M Toledo-Corral (CM)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Department of Health Sciences, California State University, Northridge.

Jill Johnston (J)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Genevieve F Dunton (GF)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Deborah Lerner (D)

Eisner Health, Los Angeles, California.

Laila Al-Marayati (L)

Department of Obstetrics and Gynecology, University of Southern California, Los Angeles.

Fred Lurmann (F)

Sonoma Technology Inc, Petaluma, California.

Nathan Pavlovic (N)

Sonoma Technology Inc, Petaluma, California.

Shohreh F Farzan (SF)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Theresa M Bastain (TM)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Carrie V Breton (CV)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

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Classifications MeSH