BACKGROUND Area-level socioeconomic characteristics have been shown to be related to health status and mortality however, little is known about the association between residential community characteristics in relation to postpartum women's health. METHODS Data from the longitudinal, multi-site Community Child Health Network (CCHN) study were used. Postpartum women (n = 2510), aged 18-40 were recruited from 2008 to 2012 within a month of delivery. Socioeconomic data was used to create deprivation indices. Census data were analysed using principal components analysis (PCA) and logistic regression to assess the association between deprivation indices (DIs) and various health indicators. RESULTS PCA resulted in two unique DIs that accounted for 67.5% of the total variance of the combined all-site area deprivation. The first DI was comprised of variables representing a high percentage of Hispanic or Latina, foreign-born individuals, dense households (more than one person per room of residence), with less than a high-school education, and who spent more than 30% of their income on housing costs. The second DI was comprised of a high percentage of African-Americans, single mothers, and high levels of unemployment. In a multivariate logistic regression model, using the quartiles of each DI, women who reside in the geographic area of Q4-Q2 of the second DI, were almost twice as likely to have more than three adverse health conditions compared to those who resided in the least deprived areas. (Q2vs.Q1:OR = 2.09,P = 0.001,Q3vs.Q1:OR = 1.89,P = 0.006,Q4vs.Q1:OR = 1.95,P = 0.004 respectively). CONCLUSIONS Our results support the utility of examining deprivation indices as predictors of maternal postpartum health.

中文翻译：

---

社区一级的贫困指数和产后妇女的健康：社区儿童健康网络（CCHN）多站点研究的结果。

背景技术已经显示出地区水平的社会经济特征与健康状况和死亡率有关，但是，关于居住社区特征与产后妇女健康之间的关联知之甚少。方法使用来自纵向多站点社区儿童健康网络（CCHN）研究的数据。从2008年至2012年在分娩后一个月内招募18-40岁的产后妇女（n = 2510）。使用社会经济数据来创建贫困指数。使用主成分分析（PCA）和逻辑回归分析人口普查数据，以评估剥夺指数（DI）与各种健康指标之间的关联。结果PCA导致两个唯一的DI，占整个场地面积剥夺总和的67.5％。第一个直接投资由变量组成，这些变量代表高比例的西班牙裔或拉丁裔，外国出生的个人，人口稠密的家庭（每居室多于一个人），受过高中教育的人且花费超过30％收入中的一部分用于住房费用。第二个直接投资由非裔美国人，单身母亲和高失业率所组成。在多变量logistic回归模型中，使用每个DI的四分位数，居住在第二个DI的Q4-Q2地理区域中的女性患病的可能性是居住在第二个DI的女性的三倍多。最贫困的地区。（Q2vs.Q1：OR = 2.09，P = 0.001，Q3vs.Q1：OR = 1.89，P = 0.006，Q4vs.Q1：OR = 1.95，P = 0.004）。