Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Biological Peripartum Predictors of Postpartum Depression: Protocol for Systematic Review and Meta-Analysis

Version 1 : Received: 31 January 2024 / Approved: 1 February 2024 / Online: 1 February 2024 (12:48:14 CET)

How to cite: Alhaj Ahmad, M.; Al Awar, S.; Sayed Sallma, G.; Alkaabi, M.; Smetanina, D.; Statsenko, Y.; Zareba, K. Biological Peripartum Predictors of Postpartum Depression: Protocol for Systematic Review and Meta-Analysis. Preprints 2024, 2024020030. https://doi.org/10.20944/preprints202402.0030.v1 Alhaj Ahmad, M.; Al Awar, S.; Sayed Sallma, G.; Alkaabi, M.; Smetanina, D.; Statsenko, Y.; Zareba, K. Biological Peripartum Predictors of Postpartum Depression: Protocol for Systematic Review and Meta-Analysis. Preprints 2024, 2024020030. https://doi.org/10.20944/preprints202402.0030.v1

Abstract

During the postpartum period, psychological disorders may emerge. Aims and objectives: 1 With the current study, we aim to raise awareness among healthcare professionals about postpartum depression (PPD) in women. To reach the aim we will perform the following tasks: (i) identify biological peripartum risk factors and calculate pooled prevalence of PPD for each of them; (ii) explore the strength of relationship between peripartum risk factors and PPD; (iii) rank the predictors by their prevalence and magnitude of association with PPD. The knowledge obtained will support the development and implementation of early diagnostic and preventive strategies. Methods and analysis: we will systematically go through peer-reviewed publications available in the PubMed search engine and online databases: Scopus, Web of Science, EMBASE. The scope of the review will include articles published any time in English, Arabic, or Polish. We will deduplicate literature sources with the Covidence software, evaluate heterogeneity between the study results, and critically assess credibility of selected articles with the Joanna Briggs Institute’s bias evaluation tool. The information to extract is incidence rate, prevalence, and odds ratio between each risk factor and PPD. A comprehensive analysis of the extracted data will allow us to achive the objectives. The study findings will contribute to risk stratification and more effective management of PPD in women.

Keywords

postpartum; depression postpartum; blues postpartum; psychosis review article; risk factors

Subject

Medicine and Pharmacology, Obstetrics and Gynaecology

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