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.

中文翻译：

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邻里环境测量和肥胖的人体测量指标：妇女及其儿童健康 (Watch) 研究的结果

我们比较了基于地理信息系统 (GIS) 和基于人口普查的方法，用于测量人口普查区级别的物理和社会邻里环境，以及与体重指数 (BMI)、腰围 (WC) 和腰围相关的审计方法。臀围比 (WHR)。数据来自 2012-2014 年妇女及其子女健康 (Watch) 研究 (n = 940)。使用广义线性模型获得 BMI (≥30 kg/m2)、WC (>88 cm) 和 WHR (>0.85) 的优势比 (OR)。使用审计方法，更不利的邻里特征与更高的 WC（OR：1.10；95% 置信区间 [CI]：[1.05，1.15]）和 WHR（OR：1.09；95% CI：[1.05， 1.14]）在调整年龄、种族/民族、收入和漏油暴露后。在调整后的模型中，基于 GIS 和基于人口普查的测量与肥胖之间没有显着关联。与人口普查区层面的物理或社会方面相比，个人层面审计所捕获的邻里环境质量方面可能与肥胖更相关。