RAND Health, RAND Corporation, Pittsburgh, Pennsylvania, USA.
Obesity (Silver Spring). 2012 Apr;20(4):862-71. doi: 10.1038/oby.2011.141. Epub 2011 Jun 9.
Using data (n = 60,775 women) from the Women's Health Initiative Clinical Trial (WHI CT)-a national study of postmenopausal women aged 50-79 years-we analyzed cross-sectional associations between the availability of different types of food outlets in the 1.5 miles surrounding a woman's residence, census tract neighborhood socioeconomic status (NSES), BMI, and blood pressure (BP). We simultaneously modeled NSES and food outlets using linear and logistic regression models, adjusting for multiple sociodemographic factors, population density and random effects at the tract and metropolitan statistical area (MSA) level. We found significant associations between NSES, availability of food outlets and individual-level measurements of BMI and BP. As grocery store/supermarket availability increased from the 10th to the 90th percentile of its distribution, controlling for confounders, BMI was lower by 0.30 kg/m(2). Conversely, as fast-food outlet availability increased from the 10th to the 90th percentile, BMI was higher by 0.28 kg/m(2). When NSES increased from the 10th to the 90th percentile of its distribution, BMI was lower by 1.26 kg/m(2). As NSES increased from the 10th to the 90th percentile, systolic and diastolic BP were lower by 1.11 mm Hg and 0.40 mm Hg, respectively. As grocery store/supermarket outlet availability increased from the 10th and 90th percentiles, diastolic BP was lower by 0.31 mm Hg. In this national sample of postmenopausal women, we found important independent associations between the food and socioeconomic environments and BMI and BP. These findings suggest that changes in the neighborhood environment may contribute to efforts to control obesity and hypertension.
利用来自妇女健康倡议临床试验(WHI CT)的数据(n=60775 名女性)——这是一项针对 50-79 岁绝经后妇女的全国性研究——我们分析了女性居住地周围 1.5 英里范围内不同类型食品店的供应情况、普查区邻里社会经济地位(NSES)、BMI 和血压(BP)之间的横断面关联。我们同时使用线性和逻辑回归模型对 NSES 和食品店进行建模,调整了多个社会人口因素、人口密度以及在普查区和大都市统计区(MSA)层面的随机效应。我们发现 NSES、食品店供应情况以及 BMI 和 BP 的个体水平测量值之间存在显著关联。随着杂货店/超市供应情况从分布的第 10 个到第 90 个百分位数增加,在控制混杂因素的情况下,BMI 降低了 0.30kg/m²。相反,随着快餐店供应情况从第 10 个到第 90 个百分位数增加,BMI 升高了 0.28kg/m²。当 NSES 从分布的第 10 个到第 90 个百分位数增加时,BMI 降低了 1.26kg/m²。随着 NSES 从分布的第 10 个到第 90 个百分位数增加,收缩压和舒张压分别降低了 1.11mmHg 和 0.40mmHg。当杂货店/超市供应情况从第 10 个和第 90 个百分位数增加时,舒张压降低了 0.31mmHg。在这个全国绝经后妇女样本中,我们发现食品和社会经济环境与 BMI 和 BP 之间存在重要的独立关联。这些发现表明,邻里环境的变化可能有助于控制肥胖和高血压。