Department of Nutrition Sciences, School of Health Sciences, Ariel University, Ariel, Israel.
The Center for Urban Health Solutions (C-UHS), St, Michael's Hospital, Toronto, Canada.
Health Qual Life Outcomes. 2020 Feb 22;18(1):38. doi: 10.1186/s12955-020-1275-x.
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.
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.
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).
Our results support the utility of examining deprivation indices as predictors of maternal postpartum health.
已有研究表明,区域层面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系,人们知之甚少。
本研究使用了纵向、多地点社区儿童健康网络(CCHN)研究的数据。2008 年至 2012 年期间,在产后一个月内,从 2510 名年龄在 18-40 岁的产后妇女中招募了研究对象。使用社会经济数据创建贫困指数。使用主成分分析(PCA)和逻辑回归分析对普查数据进行分析,以评估贫困指数(DI)与各种健康指标之间的关系。
PCA 得出了两个独特的 DI,它们占所有站点区域贫困的总方差的 67.5%。第一个 DI 由代表高比例西班牙裔或拉丁裔、外国出生人口、居住密度大(居住空间内每间房超过一人)、受教育程度低于高中、住房支出超过收入 30%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,与居住在第二 DI 的 Q4-Q2 区域的女性相比,居住在贫困程度最低区域的女性有超过三种不良健康状况的可能性几乎是其两倍。(Q2 与 Q1 相比:OR=2.09,P=0.001,Q3 与 Q1 相比:OR=1.89,P=0.006,Q4 与 Q1 相比:OR=1.95,P=0.004)。
我们的研究结果支持将贫困指数作为产后母亲健康的预测指标进行检验的效用。