Unintended pregnancy and postpartum depression: A meta-analysis of cohort and case-control studies
- PMID: 33002811
- DOI: 10.1016/j.jpsychores.2020.110259
Unintended pregnancy and postpartum depression: A meta-analysis of cohort and case-control studies
Abstract
Objective: The majority of original studies showed that unintended pregnancy is related to adverse obstetric outcomes, however, up to now, the influence of unintended pregnancy on the risk of developing postpartum depression (PPD) remains unclear. This study aimed to assess the association between unintended pregnancy and the risk of developing PPD by conducting a meta-analysis of cohort and case-control studies.
Methods: PubMed, Web of Science, Embase, and Cochrane Library were searched up to December 31, 2019 to identify relevant studies evaluating the association between unintended pregnancy and PPD. Meta-analysis was performed using RevMan software and Stata software. Potential heterogeneity source was explored by subgroup and sensitivity analyses, and potential publication bias was tested using Begg's funnel plots and Begg's linear regression test.
Results: A total of thirty studies involving 65,454 participants were included in our meta-analysis. Overall, women who get pregnant unintendedly compared with those who are intending to be pregnant were at a significantly higher risk of developing PPD (odds ratio [OR] = 1.53; 95% confidence interval [CI]: 1.35-1.74; P < 0.00001).
Conclusions: Unintended pregnancy is significantly associated with the risk of developing PPD. These findings highlight the necessity of screening for pregnancy intention and integrating family planning and personalized mental health services into primary healthcare to promote maternal mental health.
Keywords: Meta-analysis; Postpartum depression; Unintended pregnancy.
Copyright © 2020 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors have no competing interests to report.
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