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著者: Sifan Cao, Mark Jones, Leigh Tooth, Gita D Mishra
雑誌名: J Psychiatr Res. 2020 Feb;121:82-90. doi: 10.1016/j.jpsychires.2019.11.010. Epub 2019 Nov 17.
Abstract/Text
BACKGROUND: Premenstrual syndrome (PMS) is thought to be a risk factor for postpartum depression (PPD), but results from studies examining the association have been mixed.
OBJECTIVES: To estimate the association between pre-pregnancy history of PMS and development of PPD and evaluate the risk of bias of included evidence.
SEARCH STRATEGY: PubMed, EMBASE, CINAHL, PsycINFO, Cochrane Library, CNKI, Wanfang Data, and reference lists of relevant papers were searched.
SELECTION CRITERIA: Observational studies that collected pre-pregnancy history of PMS and measured PPD status between one week and one year after delivery were included.
DATA COLLECTION AND ANALYSIS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Random-effect models were used to calculate pooled odds ratios (ORs) with 95% confidence interval (CI). Small study effect was analysed by funnel plot. Risk of bias was assessed using the Risk of Bias Instrument for Non-Randomized Studies of Exposures (ROBINS-E).
MAIN RESULTS: Our meta-analysis included 19 studies. Overall, women with a pre-pregnancy history of PMS had more than double the odds of PPD compared to those without PMS (OR: 2.20, 95% CI: 1.81-2.68). However, the quality of evidence was low: five studies had moderate risk, eleven studies had serious risk, and three studies had critical risk of bias.
CONCLUSIONS: Current evidence supports a significant association between history of PMS and development of PPD. Well-designed prospective studies are needed to further investigate this relationship.
Copyright © 2019 Elsevier Ltd. All rights reserved.
PMID 31783236 J Psychiatr Res. 2020 Feb;121:82-90. doi: 10.1016/j.jpsychires.2019.11.010. Epub 2019 Nov 17.
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