Neighbourhood-level deprivation indices and postpartum women's health: results from the Community Child Health Network (CCHN) multi-site study
Neighbourhood-level deprivation indices and postpartum women's health: results from the Community Child Health Network (CCHN) multi-site study
复制标题
DOI：
10.1186/s12955-020-1275-x
复制
发表时间：
2020-02-22
影响因子：
3.6
通讯作者：
Chinchilli, Vernon M.
中科院分区：
文献类型：
--
作者：
Kaufman-Shriqui, Vered;O'Campo, Patricia;Chinchilli, Vernon M.
背景区域一级的社会经济特征已被证明是相关的健康状况和死亡率，但是，很少有人知道的住宅社区特征之间的关联，产后妇女的健康。方法采用纵向、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了18-40岁的产后妇女（n = 2510）。社会经济数据被用来建立贫困指数。使用主成分分析和逻辑回归分析普查数据，以评估贫困指数与各种健康指标之间的关联。结果PCA导致两个独特的DI，占组合的全部位面积剥夺的总方差的67.5%。第一个DI由代表西班牙裔或拉丁裔，外国出生的个人，密集家庭（每个居住房间超过一个人），高中教育程度以下，以及将收入的30%以上用于住房成本的高比例的变量组成。第二个DI由高比例的非裔美国人、单身母亲和高失业率组成。在多变量逻辑回归模型中，使用每个DI的四分位数，居住在第二DI Q4-Q2地理区域的妇女，与居住在最贫困地区的妇女相比，有三种以上不良健康状况的可能性几乎是两倍。（Q2与Q1：OR = 2.09，P = 0.001，Q3与Q1：OR = 1.89，P = 0.006，Q4与Q1：OR = 1.95，P = 0.004）。结论我们的研究结果支持检查剥夺指数作为产妇产后健康的预测因子的效用。
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.