Neighborhood walkability and poverty predict excessive gestational weight gain: A cross-sectional study in New York City.


Journal

Obesity (Silver Spring, Md.)
ISSN: 1930-739X
Titre abrégé: Obesity (Silver Spring)
Pays: United States
ID NLM: 101264860

Informations de publication

Date de publication:
02 2022
Historique:
revised: 14 10 2021
received: 01 06 2021
accepted: 23 10 2021
pubmed: 25 1 2022
medline: 15 4 2022
entrez: 24 1 2022
Statut: ppublish

Résumé

This study evaluated associations between neighborhood-level characteristics and gestational weight gain (GWG) in a population-level study of 2015 New York City births. Generalized linear mixed-effects models were used to estimate odds ratios (ORs) for associations between neighborhood-level characteristics (poverty, food environment, walkability) within 1 km of a residential Census block centroid and excessive or inadequate GWG compared with recommended GWG. All models were adjusted for individual-level sociodemographic characteristics. Among the sample of 106,285 births, 41.8% had excessive GWG, and 26.3% had inadequate GWG. Residence in the highest versus lowest quartile of neighborhood poverty was associated with greater odds of excessive GWG (OR: 1.17, 95% CI: 1.08-1.26). Residence in neighborhoods in the quartile of highest walkability compared with the quartile of lowest walkability was associated with lower odds of excessive GWG (OR: 0.87, 95% CI: 0.81-0.93). Adjustment for prepregnancy BMI attenuated the associations for neighborhood poverty, but not for walkability. Neighborhood variables were not associated with inadequate GWG. These analyses indicate that greater neighborhood walkability is associated with lower odds of excessive GWG, potentially from differences in pedestrian activity during pregnancy. This research provides further evidence for using urban design to support healthy weight status during pregnancy.

Identifiants

pubmed: 35068077
doi: 10.1002/oby.23339
pmc: PMC8830702
mid: NIHMS1754724
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

503-514

Subventions

Organisme : NICHD NIH HHS
ID : K99 HD101657
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD042849
Pays : United States
Organisme : NICHD NIH HHS
ID : R00 HD086304
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK111022
Pays : United States
Organisme : NICHD NIH HHS
ID : R00 HD101657
Pays : United States

Informations de copyright

© 2022 The Obesity Society.

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Auteurs

Eliza W Kinsey (EW)

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

Elizabeth M Widen (EM)

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

James W Quinn (JW)

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

Mary Huynh (M)

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

Gretchen Van Wye (G)

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

Gina S Lovasi (GS)

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

Kathryn M Neckerman (KM)

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

Andrew G Rundle (AG)

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

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Classifications MeSH