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Residential property values predict prevalent obesity but do not predict 1-year weight change.住宅房产价值可预测肥胖症患病率,但无法预测一年内的体重变化。
Obesity (Silver Spring). 2015 Mar;23(3):671-6. doi: 10.1002/oby.20989. Epub 2015 Feb 13.
2
Relation between diet cost and Healthy Eating Index 2010 scores among adults in the United States 2007-2010.2007 - 2010年美国成年人饮食成本与2010年健康饮食指数得分之间的关系
Prev Med. 2015 Apr;73:70-5. doi: 10.1016/j.ypmed.2015.01.019. Epub 2015 Jan 24.
3
Trends in dietary quality among adults in the United States, 1999 through 2010.美国成年人饮食质量趋势,1999 年至 2010 年。
JAMA Intern Med. 2014 Oct;174(10):1587-95. doi: 10.1001/jamainternmed.2014.3422.
4
Environments perceived as obesogenic have lower residential property values.被视为致胖环境的地区,其住宅房产价值较低。
Am J Prev Med. 2014 Sep;47(3):260-74. doi: 10.1016/j.amepre.2014.05.006. Epub 2014 Jul 19.
5
The association between the built environment and dietary intake - a systematic review.建筑环境与饮食摄入之间的关联——一项系统综述。
Asia Pac J Clin Nutr. 2014;23(2):183-96. doi: 10.6133/apjcn.2014.23.2.08.
6
A spatial analysis of community level overweight and obesity.社区层面超重与肥胖的空间分析
J Hum Nutr Diet. 2014 Apr;27 Suppl 2:65-74. doi: 10.1111/jhn.12055. Epub 2013 May 24.
7
Update of the Healthy Eating Index: HEI-2010.更新后的健康饮食指数:HEI-2010。
J Acad Nutr Diet. 2013 Apr;113(4):569-80. doi: 10.1016/j.jand.2012.12.016. Epub 2013 Feb 13.
8
The local food environment and diet: a systematic review.本地食物环境与饮食:系统评价。
Health Place. 2012 Sep;18(5):1172-87. doi: 10.1016/j.healthplace.2012.05.006. Epub 2012 May 31.
9
Obesity and supermarket access: proximity or price?肥胖与超市可达性:距离还是价格?
Am J Public Health. 2012 Aug;102(8):e74-80. doi: 10.2105/AJPH.2012.300660. Epub 2012 Jun 14.
10
Residential property values are associated with obesity among women in King County, WA, USA.美国华盛顿州金县女性的住宅房地产价值与肥胖有关。
Soc Sci Med. 2012 Aug;75(3):491-5. doi: 10.1016/j.socscimed.2012.03.041. Epub 2012 Apr 26.

基于住宅房产价值的健康饮食指数得分(HEI - 2005和2010)的地理差异:西雅图肥胖研究(SOS)的结果

Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).

作者信息

Drewnowski Adam, Aggarwal Anju, Cook Andrea, Stewart Orion, Moudon Anne Vernez

机构信息

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.

出版信息

Prev Med. 2016 Feb;83:46-55. doi: 10.1016/j.ypmed.2015.11.021. Epub 2015 Dec 3.

DOI:10.1016/j.ypmed.2015.11.021
PMID:26657348
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4724229/
Abstract

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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).

RESULTS

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.

CONCLUSION

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.

摘要

背景

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。

目的

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。

方法

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。

结果

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。

结论

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。