Neighbourhood food environments and body mass index among New York City adults.
Neighbourhood food environments and body mass index among New York City adults.
复制标题
纽约市成年人的社区食物环境和体重指数。
DOI：
10.1136/jech-2013-202354
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发表时间：
2013
影响因子：
6.3
通讯作者：
Rundle,Andrew
中科院分区：
文献类型：
--
作者：
Stark,JamesH;Neckerman,Kathryn;Lovasi,GinaS;Konty,Kevin;Quinn,James;Arno,Peter;Viola,Deborah;Harris,TiffanyG;Weiss,ChristopherC;Bader,MichaelDM;Rundle,Andrew
背景评估邻里食物环境对肥胖影响的研究总结了个体食物销售点的密度或邻近程度。虽然提供了信息，但有必要考虑整个食品环境的作用；然而，整个系统属性的度量方法很少。新的测量食物环境的变量被导出并用于研究与身体质量指数（BMI）的关系。方法从2002-2006年纽约市社区健康调查的48482名调查对象中收集BMI和社会人口学特征的个人数据，并将其与住宅邮政编码水平特征联系起来。根据网点的多样性（邮政编码中存在的网点类型数量）、网点的密度（网点/平方公里）和被列为bmi不健康的网点的比例（如快餐、酒窖）来描述每个邮政编码的食品环境。结果横断面、多水平分析结果显示，BMI与食品出口密度呈负相关（整个IQR的BMI单位为- 0.32,95% CI为- 0.45至- 0.20），BMI与BMI-不健康食品出口比例呈正相关（每个IQR的BMI单位为0.26,95% CI为0.09至0.43），与出口多样性无关联。BMI与BMI不健康食品销售点比例之间的关联在较低贫困邮政编码（<贫困百分比的中位数）比在高贫困邮政编码更强。结论：这些结果支持对食品环境的影响及其与肥胖的关系进行更细致的评估。
BackgroundStudies evaluating the impact of the neighbourhood food environment on obesity have summarised the density or proximity of individual food outlets. Though informative, there is a need to consider the role of the entire food environment; however, few measures of whole system attributes have been developed. New variables measuring the food environment were derived and used to study the association with body mass index (BMI).MethodsIndividual data on BMI and sociodemographic characteristics were collected from 48 482 respondents of the 2002–2006 community health survey in New York City and linked to residential zip code-level characteristics. The food environment of each zip code was described in terms of the diversity of outlets (number of types of outlets present in a zip code), the density of outlets (outlets/km2) and the proportion of outlets classified as BMI-unhealthy (eg, fast food, bodegas).ResultsResults of the cross-sectional, multilevel analyses revealed an inverse association between BMI and food outlet density (−0.32 BMI units across the IQR, 95% CI −0.45 to −0.20), a positive association between BMI and the proportion of BMI-unhealthy food outlets (0.26 BMI units per IQR, 95% CI 0.09 to 0.43) and no association with outlet diversity. The association between BMI and the proportion of BMI-unhealthy food outlets was stronger in lower (<median for % poverty) poverty zip codes than in high-poverty zip codes.ConclusionsThese results support a more nuanced assessment of the impact of the food environment and its association with obesity.