ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Public Mental Health
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1572570
This article is part of the Research TopicMental Health of Vulnerable Groups: Predictors, Mechanisms, and InterventionsView all 25 articles
Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors
Provisionally accepted
- 1Wuxi Maternity and Child Health Care Hospital, Wuxi, China
- 2Zhejiang Agriculture and Forestry University, Hangzhou, Zhejiang Province, China
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Purpose: This study aims to consider the latent profiles of depression and anxiety symptoms in perimenopausal women and determine the influencing factors of this classification. Methods: Latent profile analysis was used to explore the subgroups of mental health in perimenopausal women (n=1242, age = 52.55 ± 3.32 years), followed by univariate analysis and multinomial logistic regression to investigate the relationship between sociodemographic, lifestyle, social interaction, perimenopausal symptom factors, and the latent profiles. Results: Depression and anxiety symptoms in perimenopausal women were classified into three subgroups: "low symptom group" (n=702, 56.5%), "depression and anxiety borderline symptom group"(n=419, 33.7%), and "severe depression and anxiety comorbidity group"(n=121, 9.8%). Additionally, empty nest, chronic diseases, history of mental illness, sleep quality, and perimenopausal symptoms were identified as risk factors for depression and anxiety, while enrolling in urban resident medical insurance and participating in social activities were protective factors.This study identified the heterogeneous characteristics of mental health in perimenopausal women to help provide more targeted screening, personalized interventions and treatment strategies, which are of significant importance in improving the quality of life for perimenopausal women.
Keywords: Anxiety, Depression, Perimenopausal women, latent profile analysis, predictors
Received: 07 Feb 2025; Accepted: 19 May 2025.
Copyright: © 2025 Jiang, Chen, Zheng and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiaomin Zheng, Wuxi Maternity and Child Health Care Hospital, Wuxi, China
Yaling Feng, Wuxi Maternity and Child Health Care Hospital, Wuxi, China
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