The prevalence of postpartum depression - The relative significance of three social status indices

The prevalence of postpartum depression - The relative significance of three social status indices
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DOI:
10.1007/s00127-007-0168-1
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发表时间:
2007-04-01
影响因子:
4.4
通讯作者:
Stuart, Scott
Stuart, Scott
中科院分区:
医学2区
文献类型:
--
作者:
Segre, Lisa S.;O'Hara, Michael W.;Stuart, Scott

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背景:目前对不同社会地位的妇女中临床意义上的产后抑郁症的患病率知之甚少。本研究的目的是探讨产后抑郁症的患病率作为社会地位的三个指标的功能:收入,教育和职业声望。方法4,332名产后妇女完成了人口统计学访谈和抑郁症诊断量表,这是一种自我报告量表,用于根据DSM诊断标准识别重度抑郁发作。Logistic回归分析用于评估三个社会地位变量作为产后抑郁症危险因素的相对显著性,控制相关人口统计学变量的影响。结果在Logistic回归分析中,控制了其他相关人口学特征的影响后,收入、职业声望、婚姻状况和子女数是产后抑郁症的显著预测因素。这些重要预测因素的Wald卡方值表明,收入是最强的预测因素。结论产后抑郁症的患病率显着较高的经济贫困相对于经济富裕的妇女。针对经济贫困妇女的孕产妇抑郁症筛查项目处于有利地位。未来的研究需要在一个种族更多样化的样本中复制目前的研究结果,其中包括整个年龄范围的少女母亲。
Background Little is known about the prevalence of clinically significant postpartum depression in women of varying social status. The purpose of the present study was to examine the prevalence of postpartum depression as a function of three indices of social status: income, education and occupational prestige. Method A sample of 4,332 postpartum women completed a demographic interview and the Inventory to Diagnose Depression, a self-report scale developed to identify a major depressive episode in accordance with DSM diagnostic criteria. Logistic regression was used to assess the relative significance of the three social status variables as risk factors for postpartum depression controlling for the effects of correlated demographic variables. Results In the logistic regression, income, occupational prestige, marital status, and number of children were significant predictors of postpartum depression controlling for the effects of other related demographic characteristics. The Wald Chi Square value for each of these significant predictors indicates that income was the strongest predictor. Conclusions The prevalence of postpartum depression was significantly higher in financially poor relative to financially affluent women. Maternal depression screening programs targeting women who are financially poor are well placed. Future research is needed to replicate the present findings in a more ethnically diverse sample that includes the full age range of teenage mothers.