# Biopsychosocial Predictors of Postpartum Depression: Protocol for Systematic Review and Meta-Analysis

## TL;DR

This study aims to identify biological factors linked to postpartum depression to help develop early detection and prevention strategies.

## Contribution

The study introduces a systematic review and meta-analysis to rank biological risk factors for postpartum depression by prevalence and association strength.

## Key findings

- Biological peripartum risk factors will be identified and their pooled prevalence of PPD calculated.
- The relationship strength between risk factors and PPD will be explored.
- Predictors will be ranked by prevalence and association magnitude with PPD.

## Abstract

During the postpartum period, psychological disorders may emerge. Aims and objectives: With the current study, we aim to explore the biological determinants that act on women during labor and incur the risk for postpartum depression (PPD). 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 the 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 the incidence rate, prevalence, and odds ratio between each risk factor and PPD. A comprehensive analysis of the extracted data will allow us to achieve the objectives. The study findings will contribute to risk stratification and more effective management of PPD in women.