Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Midwifery Science, AVAG - Amsterdam Public Health, De Boelelaan 1117, Amsterdam, Netherlands.
Amsterdam University Medical Center, University of Amsterdam, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam University Medical Center, University of Amsterdam, Department of Public & Occupational Health, Amsterdam Public Health Research Institute, Academic UMC, Meibergdreef 9, Amsterdam, Netherlands; Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands.
Compr Psychiatry. 2021 Jul;108:152239. doi: 10.1016/j.comppsych.2021.152239. Epub 2021 Apr 20.
Postpartum depression is prevalent and concerns a serious health problem for women and their families. The current large-scale birth cohort study investigated: (1) the associations of various potential determinants of postpartum depression using a multidimensional approach, and (2) the individual contribution of obstetric and perinatal determinants and pregnancy-specific anxiety to the risk of postpartum depression.
This study was based on a large-scale birth cohort study in Amsterdam, the Netherlands (ABCD-study). In 5109 women depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off ≥16 indicating high risk of postpartum depression). Determinants were assessed using self-report or perinatal registries.
In the final multivariable model, other-Western and non-Western ethnic background, increased antepartum depressive symptoms, increased antepartum anxiety, increased pregnancy-specific anxiety, being unemployed, poor sleep quality, unwanted pregnancy, abuse, multiparity, and congenital abnormality were all independently related to an increased risk of postpartum depression. The strongest risk factors for postpartum depression were antepartum depressive symptoms (adjusted odds ratio (AOR) = 3.86, 95% confidence interval (CI) 3.02-4.92), having a baby with a congenital abnormality (AOR = 2.33, 95% CI 1.46-3.73), and abuse (AOR = 1.95, 95% CI 1.02-3.73). The final model accounted for 24.5% of the variance.
Our dataset did not provide information on social support or maternal and family history of depression. Next to these determinants, future research should include biological factors.
The determinants identified provide opportunities for the development of multidimensional early screening and early intervention strategies for women with an increased risk of postpartum depression.
产后抑郁症较为普遍,是女性及其家庭面临的严重健康问题。本大规模出生队列研究旨在:(1)采用多维方法探讨产后抑郁症的各种潜在决定因素之间的关联;(2)评估产科和围产期因素及妊娠特异性焦虑对产后抑郁症风险的个体贡献。
本研究基于荷兰阿姆斯特丹的一项大规模出生队列研究(ABCD 研究)。5109 名女性使用流行病学研究中心抑郁量表(临界值≥16 表明产后抑郁症风险较高)评估抑郁症状。使用自我报告或围产期记录评估决定因素。
在最终的多变量模型中,其他西方和非西方种族背景、产前抑郁症状增加、产前焦虑增加、妊娠特异性焦虑增加、失业、睡眠质量差、意外怀孕、虐待、多胎妊娠和先天性异常均与产后抑郁症风险增加独立相关。产后抑郁症的最强危险因素是产前抑郁症状(调整后的优势比(AOR)=3.86,95%置信区间(CI)为 3.02-4.92)、婴儿存在先天性异常(AOR=2.33,95%CI 为 1.46-3.73)和虐待(AOR=1.95,95%CI 为 1.02-3.73)。最终模型解释了 24.5%的方差。
我们的数据集没有提供有关社会支持或母亲和家族抑郁史的信息。除了这些决定因素外,未来的研究还应包括生物因素。
确定的决定因素为开发针对产后抑郁症风险增加的女性进行多维早期筛查和早期干预策略提供了机会。