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Neighborhood Environment Measurements and Anthropometric Indicators of Obesity: Results from the Women and Their Children's Health (WaTCH) Study.
Sullivan, Samaah M; Peters, Edward S; Trapido, Edward J; Oral, Evrim; Scribner, Richard A; Rung, Ariane L.
Afiliação
  • Sullivan SM; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Peters ES; Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Trapido EJ; Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Oral E; Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Scribner RA; Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Rung AL; Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
Environ Behav ; 50(9): 1032-1055, 2018 Nov.
Article em En | MEDLINE | ID: mdl-31571678
ABSTRACT
We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus and 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% 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article