Do neighborhoods matter differently for movers and non-movers? Analysis of weight gain in the longitudinal dallas heart study.

Do neighborhoods matter differently for movers and non-movers? Analysis of weight gain in the longitudinal dallas heart study.
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DOI:
10.1016/j.healthplace.2017.01.002
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发表时间:
2017-03
期刊:
影响因子:
4.8
通讯作者:
Powell-Wiley T
Powell-Wiley T
中科院分区:
医学2区
文献类型:
--
作者:
Leonard T;Ayers C;Das S;Neeland IJ;Powell-Wiley T

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少数可用的人口为基础的纵向研究,检查邻里条件的变化和体重变化之间的联系,到目前为止,只检查了住宅流动性产生的邻里变化。应用差异中差异的分析框架,从达拉斯心脏研究(DHS),在达拉斯县,得克萨斯州的多种族,人口为基础的队列数据,我们评估了在大约7年的随访期内的邻居条件的变化和体重变化的移动和非移动之间的关系。我们采用了一种新的措施,邻里条件的基础上,物业评估数据捕捉时间一致的措施,在邻里条件的变化,无论住宅的流动性。我们观察到体重变化和邻域条件变化之间的反比关系,这对于非移动者(邻域条件中每1个标准差改善增加1.9千克)比移动者(邻域条件中每1个标准差改善增加1.5千克)更明显。
The few available population-based longitudinal studies examining the link between change in neighborhood condition and weight change to date have only examined neighborhood changes generated by residential mobility. Applying a difference-in-difference analytic framework to data from the Dallas Heart Study (DHS), a multi-ethnic, population-based cohort in Dallas County, TX, we evaluated the relationship between changes in neighborhood condition and weight change for both movers and non-movers over an approximate seven-year follow-up period. We employed a novel measure of neighborhood condition based on property appraisal data to capture temporally consistent measures of change in neighborhood condition regardless of residential mobility. We observed an inverse relationship between weight change and change in neighborhood condition which was more pronounced for non-movers (1.9 fewer kilograms gained per 1-standard deviation improvement in neighborhood condition) than for movers (1.5 fewer kilograms gained per 1-standard deviation improvement in neighborhood condition).