Neighborhood Environment Measurements and Anthropometric Indicators of Obesity: Results from the Women and Their Children's Health (WaTCH) Study.

Samaah M Sullivan, Edward S Peters, Edward J Trapido, Evrim Oral, Richard A Scribner, Ariane L Rung
Author Information
  1. Samaah M Sullivan: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  2. Edward S Peters: Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  3. Edward J Trapido: Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  4. Evrim Oral: Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  5. Richard A Scribner: Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  6. Ariane L Rung: Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.

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 (=940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m), 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.

Keywords

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Grants

  1. T32 HL130025/NHLBI NIH HHS
  2. U01 ES021497/NIEHS NIH HHS

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