Drewnowski Adam, Rehm Colin D, Solet David
University of Washington, Seattle, WA, USA.
Soc Sci Med. 2007 Dec;65(12):2458-63. doi: 10.1016/j.socscimed.2007.07.001. Epub 2007 Aug 29.
Obesity in the United States has been linked to individual income and education. Less is known about its geographic distribution. The goal of this study was to determine whether obesity rates in King County, Washington State, at the ZIP code scale were associated with area-based measures of socioeconomic status and wealth. Data from the Behavioral Risk Factor Surveillance System were analyzed. At the ZIP code scale, crude obesity rates varied six-fold. In a model adjusting for covariates and spatial dependence, property values were the strongest predictor of the area-based smoothed obesity prevalence. Geocoding of health data provides new insights into the nature of social determinants of health. Disparities in obesity rates by ZIP code area were greater than disparities associated with individual income or race/ethnicity.
美国的肥胖问题与个人收入和教育程度有关。而关于其地理分布的了解则较少。本研究的目的是确定华盛顿州金县邮政编码区域内的肥胖率是否与基于区域的社会经济地位和财富指标相关。对行为风险因素监测系统的数据进行了分析。在邮政编码区域层面,粗肥胖率相差六倍。在一个对协变量和空间依赖性进行调整的模型中,房产价值是基于区域的平滑肥胖患病率的最强预测因素。健康数据的地理编码为健康的社会决定因素的本质提供了新的见解。按邮政编码区域划分的肥胖率差异大于与个人收入或种族/族裔相关的差异。