Statistical Assessment of Neighborhood Socioeconomic Deprivation Environment in Spatial Epidemiologic Studies.

统计学期刊(英文) Pub Date : 2016-06-01 Epub Date: 2016-06-14 DOI:10.4236/ojs.2016.63039
Min Lian, James Struthers, Ying Liu
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引用次数: 36

Abstract

Neighborhood socioeconomic deprivation has been associated with health behaviors and outcomes. However, neighborhood socioeconomic status has been measured inconsistently across studies. It remains unclear whether appropriate socioeconomic indicators vary over geographic areas and geographic levels. The aim of this study is to compare the composite socioeconomic index to six socioeconomic indicators reflecting different aspects of socioeconomic environment by both geographic areas and levels. Using 2000 U.S. Census data, we performed a multivariate common factor analysis to identify significant socioeconomic resources and constructed 12 composite indexes at the county, the census tract, and the block group levels across the nation and for three states, respectively. We assessed the agreement between composite indexes and single socioeconomic variables. The component of the composite index varied across geographic areas. At a specific geographic region, the component of the composite index was similar at the levels of census tracts and block groups but different from that at the county level. The percentage of population below federal poverty line was a significant contributor to the composite index, regardless of geographic areas and levels. Compared with non-component socioeconomic indicators, component variables were more agreeable to the composite index. Based on these findings, we conclude that a composite index is better as a measure of neighborhood socioeconomic deprivation than a single indicator, and it should be constructed on an area- and unit-specific basis to accurately identify and quantify small-area socioeconomic inequalities over a specific study region.

空间流行病学研究中邻里社会经济剥夺环境的统计评价
社区社会经济剥夺与健康行为和结果有关。然而,社区社会经济地位的测量在研究中并不一致。目前尚不清楚适当的社会经济指标是否因地理区域和地理水平而异。本研究的目的是将综合社会经济指数与反映社会经济环境不同方面的地理区域和水平的六个社会经济指标进行比较。利用2000年美国人口普查数据,我们进行了多变量共同因素分析,以确定重要的社会经济资源,并分别在全国和三个州的县,普查区和街区组层面构建了12个综合指数。我们评估了综合指数与单一社会经济变量之间的一致性。不同地理区域的综合指数组成不同。在特定地理区域,综合指数的组成部分在人口普查区和街区组水平上相似,但在县级水平上不同。无论地理区域和水平如何,低于联邦贫困线的人口百分比都是综合指数的重要贡献者。与非成分社会经济指标相比,成分变量更符合综合指数。综上所述,综合指数比单一指标更能反映社区社会经济剥夺状况,综合指数应基于区域和单位构建,以准确识别和量化特定研究区域的小区域社会经济不平等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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