TY - JOUR
T1 - Neighborhood Environment Measurements and Anthropometric Indicators of Obesity
T2 - Results From the Women and Their Children’s Health (WaTCH) Study
AU - Sullivan, Samaah M.
AU - Peters, Edward S.
AU - Trapido, Edward J.
AU - Oral, Evrim
AU - Scribner, Richard A.
AU - Rung, Ariane L.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Institute of Environmental Health Sciences (grant 1U01ES021497). SMS reports postdoctoral funding through Emory University by the National Institutes of Health T32 grant THL130025A.
Publisher Copyright:
© The Author(s) 2017.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus an audit approach on associations with body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). Data were used from the 2012-2014 Women and Their Children’s Health (WaTCH) Study (n = 940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m2), WC (>88 cm), and WHR (>0.85). Using an audit approach, more adverse neighborhood characteristics were associated with a higher odds of WC (OR: 1.10; 95% confidence interval [CI]: [1.05, 1.15]) and WHR (OR: 1.09; 95% CI: [1.05, 1.14]) after adjustment for age, race/ethnicity, income, and oil spill exposure. There were no significant associations between GIS- and Census-based measures with obesity in adjusted models. Quality aspects of the neighborhood environment captured by audits at the individual-level may be more relevant to obesity than physical or social aspects at the census tract-level.
AB - We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus an audit approach on associations with body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). Data were used from the 2012-2014 Women and Their Children’s Health (WaTCH) Study (n = 940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m2), WC (>88 cm), and WHR (>0.85). Using an audit approach, more adverse neighborhood characteristics were associated with a higher odds of WC (OR: 1.10; 95% confidence interval [CI]: [1.05, 1.15]) and WHR (OR: 1.09; 95% CI: [1.05, 1.14]) after adjustment for age, race/ethnicity, income, and oil spill exposure. There were no significant associations between GIS- and Census-based measures with obesity in adjusted models. Quality aspects of the neighborhood environment captured by audits at the individual-level may be more relevant to obesity than physical or social aspects at the census tract-level.
KW - behavior change
KW - GIS (geographic information system)
KW - mixed methods
KW - neighborhood/community
KW - public health
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U2 - 10.1177/0013916517726827
DO - 10.1177/0013916517726827
M3 - Article
C2 - 31571678
AN - SCOPUS:85041363470
SN - 0013-9165
VL - 50
SP - 1032
EP - 1055
JO - Environment and Behavior
JF - Environment and Behavior
IS - 9
ER -