Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors
PurposeThis study aims to consider the latent profiles of depression and anxiety symptoms in perimenopausal women and determine the influencing factors of this classification.MethodsLatent profile analysis was used to explore the subgroups of mental health in perimenopausal women (n=1242, age = 52.5...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1572570/full |
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| author | Minhui Jiang Minhui Jiang Liang Chen Xiaomin Zheng Yaling Feng |
| author_facet | Minhui Jiang Minhui Jiang Liang Chen Xiaomin Zheng Yaling Feng |
| author_sort | Minhui Jiang |
| collection | DOAJ |
| description | PurposeThis study aims to consider the latent profiles of depression and anxiety symptoms in perimenopausal women and determine the influencing factors of this classification.MethodsLatent 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.ResultsDepression 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.ConclusionThis 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. |
| format | Article |
| id | doaj-art-d89d4e4d924e4d8f8a5fb5676d4c119d |
| institution | DOAJ |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj-art-d89d4e4d924e4d8f8a5fb5676d4c119d2025-08-20T03:19:52ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-06-011610.3389/fpsyt.2025.15725701572570Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictorsMinhui Jiang0Minhui Jiang1Liang Chen2Xiaomin Zheng3Yaling Feng4Department of Psychology, Affiliated Women’s Hospital of Jiangnan University, Wuxi, ChinaWuxi School of Medicine, Jiangnan University, Wuxi, ChinaMental Health Education Center, Zhejiang A&F University, Hangzhou, ChinaResearch Institute for Reproductive Health and Genetic Diseases, Wuxi Maternal and Child Health Hospital, Wuxi, ChinaDepartment of Psychology, Affiliated Women’s Hospital of Jiangnan University, Wuxi, ChinaPurposeThis study aims to consider the latent profiles of depression and anxiety symptoms in perimenopausal women and determine the influencing factors of this classification.MethodsLatent 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.ResultsDepression 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.ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1572570/fullanxietydepressionperimenopausal womenlatent profile analysispredictors |
| spellingShingle | Minhui Jiang Minhui Jiang Liang Chen Xiaomin Zheng Yaling Feng Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors Frontiers in Psychiatry anxiety depression perimenopausal women latent profile analysis predictors |
| title | Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| title_full | Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| title_fullStr | Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| title_full_unstemmed | Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| title_short | Latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| title_sort | latent profile analysis of symptoms of depression and anxiety among perimenopausal women and their predictors |
| topic | anxiety depression perimenopausal women latent profile analysis predictors |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1572570/full |
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