Eliza W Kinsey1, Elizabeth M Widen2, James W Quinn1, Mary Huynh3, Gretchen Van Wye3, Gina S Lovasi4, Kathryn M Neckerman5, Andrew G Rundle1. 1. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA. 2. Department of Nutritional Sciences and Population Research Center, University of Texas at Austin, Austin, Texas, USA. 3. Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, New York, USA. 4. Epidemiology and Biostatistics, Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA. 5. Columbia Population Research Center, Columbia University, New York, New York, USA.
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.
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.
Authors: Irene Headen; Mahasin Mujahid; Julianna Deardorff; David H Rehkopf; Barbara Abrams Journal: Health Place Date: 2018-06-05 Impact factor: 4.078
Authors: Lance Freeman; Kathryn Neckerman; Ofira Schwartz-Soicher; James Quinn; Catherine Richards; Michael D M Bader; Gina Lovasi; Darby Jack; Christopher Weiss; Kevin Konty; Peter Arno; Deborah Viola; Bonnie Kerker; Andrew G Rundle Journal: J Urban Health Date: 2013-08 Impact factor: 3.671
Authors: Ken R Smith; Barbara B Brown; Ikuho Yamada; Lori Kowaleski-Jones; Cathleen D Zick; Jessie X Fan Journal: Am J Prev Med Date: 2008-09 Impact factor: 5.043
Authors: Andrew Rundle; Kathryn M Neckerman; Lance Freeman; Gina S Lovasi; Marnie Purciel; James Quinn; Catherine Richards; Neelanjan Sircar; Christopher Weiss Journal: Environ Health Perspect Date: 2008-10-02 Impact factor: 9.031