Drewnowski Adam, Aggarwal Anju, Cook Andrea, Stewart Orion, Moudon Anne Vernez
Center for Public Health Nutrition, School of Public Health, University of Washington, Seattle, WA, United States.
Center for Public Health Nutrition, School of Public Health, University of Washington, Seattle, WA, United States.
Prev Med. 2016 Feb;83:46-55. doi: 10.1016/j.ypmed.2015.11.021. Epub 2015 Dec 3.
Higher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level.
To examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County.
The Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008-09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1116 adults tested associations between SES variables and diet quality measured (HEI scores).
Residential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County.
The use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level.
较高的社会经济地位(SES)与更高质量的饮食有关。新的地理信息系统(GIS)方法能够在非常精细的层面上对饮食质量进行地理映射。
研究饮食质量的两项指标——健康饮食指数(HEI 2005和HEI 2010)与西雅图-金县住宅物业价值之间的地理分布关系。
西雅图肥胖研究(SOS)在2008 - 2009年从金县成年人的基于人群的样本中收集数据。社会人口统计学数据通过20分钟的电话调查获得。饮食数据从食物频率问卷(FFQ)中获取。家庭住址经地理编码到税务地块,住宅物业价值从金县税务评估员处获得。使用1116名成年人进行多变量回归分析,测试SES变量与所测量的饮食质量(HEI分数)之间的关联。
在双变量分析中,住宅物业价值、教育程度和收入与较高的HEI分数相关。物业价值与教育程度或收入均不存在共线性。在调整后的多变量模型中,与收入相比,教育程度和住宅物业与HEI的关联更强。在普查街区层面绘制的HEI - 2005和HEI - 2010地图展示了西雅图-金县饮食质量的地理分布。
使用住宅物业价值这一SES的客观衡量指标,首次实现了在高空间分辨率(普查街区层面)对饮食质量的可视化探索。