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Journal article
Neighborhood walkability and poverty predict excessive gestational weight gain: A cross-sectional study in New York City
Obesity (Silver Spring, Md.), v 30(2), pp 503-514
01 Feb 2022
PMID: 35068077
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective This study evaluated associations between neighborhood-level characteristics and gestational weight gain (GWG) in a population-level study of 2015 New York City births. Methods 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. Results 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. Conclusions 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.
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Details
- Title
- Neighborhood walkability and poverty predict excessive gestational weight gain: A cross-sectional study in New York City
- Creators
- Eliza W. Kinsey - Department of Epidemiology Columbia University Mailman School of Public Health New York New York USAElizabeth M. Widen - The University of Texas at AustinJames W. Quinn - Department of Epidemiology Columbia University Mailman School of Public Health New York New York USAMary Huynh - New York City Department of Health and Mental HygieneGretchen Van Wye - New York City Department of Health and Mental HygieneGina S. Lovasi - Drexel UniversityKathryn M. Neckerman - Columbia Population Research Center Columbia University New York New York USAAndrew G. Rundle - Department of Epidemiology Columbia University Mailman School of Public Health New York New York USA
- Publication Details
- Obesity (Silver Spring, Md.), v 30(2), pp 503-514
- Publisher
- Wiley
- Number of pages
- 12
- Grant note
- K99HD101657; R00HD086304; P2CHD042849 / Eunice Kennedy Shriver National Institute of Child Health and Human Development (University of Texas at Austin Population Research Center)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000745845300001
- Scopus ID
- 2-s2.0-85123480841
- Other Identifier
- 991019168410804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Endocrinology & Metabolism
- Nutrition & Dietetics