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How Much are Built Environments Changing and Where?: Patterns of Change by Neighborhood Sociodemographic Characteristics across Seven U.S. Metropolitan Areas

机译:建筑环境在多大程度上发生变化以及在哪里发生?:美国七个大都市地区按邻里人口统计特征的变化模式

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摘要

Investments in neighborhood built environments could increase physical activity and overall health. Disproportionate distribution of these changes in advantaged neighborhoods could inflate health disparities. Little information exists on where changes are occurring. This paper aims to 1) identify changes in the built environment in neighborhoods and 2) investigate associations between high levels of change and sociodemographic characteristics. Using Geographic Information Systems, neighborhood land-use, local destinations (for walking, social engagement, and physical activity), and sociodemographics were characterized in 2000 and 2010 for seven U.S. cities. Linear and change on change models estimated associations of built environment changes with baseline (2000) and change (2010–2000) in sociodemographics. Spatial patterns were assessed using Global Moran’s I to measure overall clustering of change and Local Moran’s I to identify statistically significant clusters of high increases surrounded by high increases (HH). Sociodemographic characteristics were compared between HH cluster and other tracts using Analysis of Variance (ANOVA). We observed small land-use changes but increases in the destination types. Greater increases in destinations were associated with higher percentage non-Hispanic whites, percentage households with no vehicle, and median household income. Associations were present for both baseline sociodemographics and changes over time. Greater increases in destinations were associated with lower baseline percentage over 65 but higher increases in percentage over 65 between 2000 and 2010. Global Moran’s indicated changes were spatially clustered. HH cluster tracts started with a higher percentage non-Hispanic whites and higher percentage of households without vehicles. Between 2000 and 2010, HH cluster tracts experienced increases in percent non-Hispanic white, greater increases in median household income, and larger decreases in percent of households without a vehicle. Changes in the built environment are occurring in neighborhoods across a diverse set of U.S. metropolitan areas, but are patterned such that they may lead to increased health disparities over time.
机译:在社区建设环境中的投资可以增加体育锻炼和整体健康状况。这些变化在优势社区的不均衡分布可能加剧健康差异。关于发生更改的地方的信息很少。本文旨在1)识别社区建筑环境中的变化,以及2)研究高水平变化与社会人口学特征之间的关联。使用地理信息系统,分别在2000年和2010年对美国七个城市的邻里土地使用,当地目的地(用于步行,社交活动和体育活动)和社会人口统计学进行了特征分析。线性模型和变更模型上的变化估计了社会人口统计学中建筑环境变化与基线(2000年)和变化(2010-2000年)的关联。使用Global Moran的I来衡量变化的总体聚类,使用局部Moran的I来确定空间格局,以识别具有统计意义的,由高增长(HH)包围的高增长集群。使用方差分析(ANOVA)比较了HH聚类和其他区域之间的社会人口统计学特征。我们观察到土地用途的变化很小,但目的地类型却有所增加。目的地的增加与非西班牙裔白人百分比,没有车辆的家庭百分比以及家庭收入中位数相关。基线社会人口统计学和随时间变化存在关联。在2000年至2010年之间,目的地数量的增加与65%以上的基线百分比降低相关,但在65岁以上的65%与更高百分比比例相关。GlobalMoran指出变化在空间上是群集的。 HH集群区以非西班牙裔白人所占百分比较高以及没有车辆的家庭所占比例较高为开始。在2000年至2010年之间,HH集群地区的非西班牙裔白人所占百分比有所增加,家庭收入中位数的增加幅度更大,而没有车辆的家庭所占百分比的减少幅度更大。建筑环境的变化发生在美国各大都市区的社区中,但变化的方式使得随着时间的推移,这些变化可能导致健康差距加大。

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