Associations between Phthalate Exposure and Gestational Age at Delivery in a Diverse Pregnancy Cohort.

endocrine disrupting chemicals environmental exposures intimate partner violence late preterm birth phthalates pregnancy pregnancy stress race

Journal

Toxics
ISSN: 2305-6304
Titre abrégé: Toxics
Pays: Switzerland
ID NLM: 101639637

Informations de publication

Date de publication:
03 Dec 2022
Historique:
received: 24 10 2022
revised: 19 11 2022
accepted: 30 11 2022
entrez: 22 12 2022
pubmed: 23 12 2022
medline: 23 12 2022
Statut: epublish

Résumé

The association between prenatal phthalate exposure and late preterm birth (LPTB) is unclear. We examined singleton pregnancies (2006-2011) from a racially and socioeconomically diverse sample of women in the CANDLE cohort of the ECHO-PATHWAYS Consortium. Urine collected in the second and third trimester was analyzed for 14 phthalate metabolites. Multivariate logistic and linear regressions were performed for LPTB, defined as delivery 34-37 weeks, and gestational week, respectively. Models were controlled for socio-demographics, behavioral factors, clinical measurements, medical history, and phthalates in the other trimester. Effect modification by race and pregnancy stress, indicated by intimate partner violence (IPV), was investigated. We conducted a secondary analysis in women with spontaneous preterm labor. The rate of LPTB among 1408 women (61% Black, 32% White) was 6.7%. There was no evidence of decreased gestational age (GA) in association with any phthalate metabolite. Each two-fold increase in third trimester mono-benzyl phthalate (MBzP) was associated with 0.08 weeks longer gestational age (95% CI: 0.03, 0.12). When restricting to women with spontaneous labor, second trimester mono-n-butyl phthalate (MBP) was associated with 54% higher odds (95% CI: 2%, 132%) of LPTB. Associations were not modified by maternal race or IPV exposure. In conclusion, we observed mixed evidence concerning our hypothesis that prenatal phthalate exposure increases risk of LPTB, though secondary analyses suggest increased risk of spontaneous LPTB associated with MBP, which is consistent with a recent pooled analysis of 16 cohorts.

Identifiants

pubmed: 36548587
pii: toxics10120754
doi: 10.3390/toxics10120754
pmc: PMC9785862
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES007033
Pays : United States
Organisme : NIH HHS
ID : UG3 OD023271
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023271
Pays : United States

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Auteurs

Laura Sienas (L)

Northwest Perinatal Associates, Portland, OR 97225, USA.

Catherine Albright (C)

Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA.

Yu Ni (Y)

Department of Epidemiology, University of Washington, Seattle, WA 98195, USA.

Adam Szpiro (A)

Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.

Nicole R Bush (NR)

Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143, USA.

Christine Loftus (C)

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA.

Kurunthachalam Kannan (K)

Department of Environmental Health Sciences, New York University School of Medicine, New York, NY 10016, USA.

Frances Tylavsky (F)

Department of Biostatistics and Epidemiology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.

Catherine J Karr (CJ)

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA.

Kaja Z LeWinn (KZ)

Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA.

Sheela Sathyanarayana (S)

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA.
Seattle Children's Research Institute, Seattle, WA 98101, USA.
Department of Pediatrics, University of Washington, Seattle, WA 98195, USA.

Classifications MeSH