Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Dec 19, 2023; 13(12): 1079-1086
Published online Dec 19, 2023. doi: 10.5498/wjp.v13.i12.1079
Analysis of influencing factors and the construction of predictive models for postpartum depression in older pregnant women
Lei Chen, Yun Shi
Lei Chen, Yun Shi, Department of Obstetrics, Suzhou Ninth People's Hospital, Suzhou 215200, Jiangsu Province, China
Author contributions: Chen L and Shi Y onceived and designed the study; Shi Y guided the study; Chen L collected the clinical date; Chen L and Shi Y analyzed the data; all authors drafted and revised the manuscript.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Suzhou Ninth People's Hospital.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yun Shi, MM, Associate Chief Physician, Department of Obstetrics, Suzhou Ninth People's Hospital, No. 2666 Ludang Road, Taihu New Town, Wujiang District, Suzhou 215200, Jiangsu Province, China. shiy202381@163.com
Received: October 8, 2023
Peer-review started: October 8, 2023
First decision: October 24, 2023
Revised: November 2, 2023
Accepted: November 9, 2023
Article in press: November 9, 2023
Published online: December 19, 2023
ARTICLE HIGHLIGHTS
Research background

Postpartum depression (PPD) is a mental illness that can be caused by multiple factors, including the process of physical recovery in the postpartum period, newborn health, psychological stress, etc. The physiological functions of older pregnant women are far inferior to those of younger women. The process of physical recovery in the postpartum period is slow, and the decrease in a mother’s own physiological stress ability makes them more prone to mental and psychological disorders.

Research motivation

Exploring the influencing factors of PPD in older pregnant women and constructing predictive models will provide guidance for the clinical evaluation of PPD risk in older pregnant women and the development of relevant measures.

Research objectives

This study aimed to identify the influencing factors of PPD in older pregnant women and construct a prediction model based on the influencing factors of PPD in older pregnant women.

Research methods

This study used a cross-sectional survey to investigate the PPD status of older pregnant women in our hospital and collected their data for analysis.

Research results

The incidence of PPD in older pregnant women at 42 d postpartum was 21.34%. Among these older pregnant women, a high school education and below, poor family relationships, pregnancy complications, and the separation of the mother and baby after birth were all influencing factors for PPD. A prediction model built based on these factors had high prediction efficiency.

Research conclusions

The risk of PPD among older pregnant women is closely related to their educational level, family relationships, pregnancy complications, and the admission of newborns to the neonatal department after birth. Constructing a PPD risk prediction model for older postpartum women based on the above factors can enable medical staff to perform early assessment of PPD risk for older pregnant women.

Research perspectives

The influencing factors of PPD in older pregnant women were identified, and a predictive model was constructed based on these influencing factors to determine the risk of PPD in older pregnant women in the future.