Neighborhood Food Environment and Birth Weight Outcomes in New York City.


Journal

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

Informations de publication

Date de publication:
01 06 2023
Historique:
medline: 14 6 2023
pubmed: 12 6 2023
entrez: 12 6 2023
Statut: epublish

Résumé

Infants born with unhealthy birth weight are at greater risk for long-term health complications, but little is known about how neighborhood characteristics (eg, walkability, food environment) may affect birth weight outcomes. To assess whether neighborhood-level characteristics (poverty rate, food environment, and walkability) are associated with risk of unhealthy birth weight outcomes and to evaluate whether gestational weight gain mediated these associations. The population-based cross-sectional study included births in the 2015 vital statistics records from the New York City Department of Health and Mental Hygiene. Only singleton births and observations with complete birth weight and covariate data were included. Analyses were performed from November 2021 to March 2022. Residential neighborhood-level characteristics, including poverty, food environment (healthy and unhealthy food retail establishments), and walkability (measured by both walkable destinations and a neighborhood walkability index combining walkability measures like street intersection and transit stop density). Neighborhood-level variables categorized into quartiles. The main outcomes were birth certificate birth weight measures including small for gestational age (SGA), large for gestational age (LGA), and sex-specific birth weight for gestational age z-score. Generalized linear mixed-effects models and hierarchical linear models estimated risk ratios for associations between density of neighborhood-level characteristics within a 1-km buffer of residential census block centroid and birth weight outcomes. The study included 106 194 births in New York City. The mean (SD) age of pregnant individuals in the sample was 29.9 (6.1) years. Prevalence of SGA and LGA were 12.9% and 8.4%, respectively. Residence in the highest density quartile of healthy food retail establishments compared with the lowest quartile was associated with lower adjusted risk of SGA (with adjustment for individual covariates including gestational weight gain z-score: risk ratio [RR], 0.89; 95% CI 0.83-0.97). Higher neighborhood density of unhealthy food retail establishments was associated with higher adjusted risk of delivering an infant classified as SGA (fourth vs first quartile: RR, 1.12; 95% CI, 1.01-1.24). The RR for the association between density of unhealthy food retail establishments and risk of LGA was higher after adjustment for all covariates in each quartile compared with quartile 1 (second: RR, 1.12 [95% CI, 1.04-1.20]; third: RR, 1.18 [95% CI, 1.08-1.29]; fourth: RR, 1.16; [95% CI, 1.04-1.29]). There were no associations between neighborhood walkability and birth weight outcomes (SGA for fourth vs first quartile: RR, 1.01 [95% CI, 0.94-1.08]; LGA for fourth vs first quartile: RR, 1.06 [95% CI, 0.98-1.14]). In this population-based cross-sectional study, healthfulness of neighborhood food environments was associated with risk of SGA and LGA. The findings support use of urban design and planning guidelines to improve food environments to support healthy pregnancies and birth weight.

Identifiants

pubmed: 37306998
pii: 2805935
doi: 10.1001/jamanetworkopen.2023.17952
pmc: PMC10261997
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2317952

Subventions

Organisme : NICHD NIH HHS
ID : R00 HD101657
Pays : United States
Organisme : NICHD NIH HHS
ID : K01 HD100222
Pays : United States
Organisme : NICHD NIH HHS
ID : R00 HD086304
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD042849
Pays : United States

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Auteurs

Eliza W Kinsey (EW)

Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Elizabeth M Widen (EM)

Department of Nutritional Sciences and Population Research Center, University of Texas at Austin.

James W Quinn (JW)

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

Mary Huynh (M)

Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York.

Gretchen Van Wye (G)

Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York.

Gina S Lovasi (GS)

Epidemiology and Biostatistics, Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.

Kathryn M Neckerman (KM)

Columbia Population Research Center, Columbia University, New York, New York.

Ellen C Caniglia (EC)

Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Andrew G Rundle (AG)

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

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Classifications MeSH