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Updated: Jan 23, 2026

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
Published on: May 19, 2015
Depressive symptoms trajectories among Chinese menopause transition women and their subsequent impact on life
Zheng Zhang1, YuanyuanWang1, Zhaoyang Xie2
1Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Objective:
There is a lack of longitudinal evidence on depression among menopausal women. The present study aims to examine the developmental trajectories of depression and their impact on life satisfaction among Chinese menopausal women.
Methods:
Using data from the China Health and Retirement Longitudinal Study, trajectories of depressive symptoms among 465 women were analyzed. Latent class growth modeling identified heterogeneous depressive trajectories. Analysis of variance was used to assess differences in life satisfaction across trajectories, and multinomial logistic regression was used to examine the effects of key demographic factors.
Results:
Five distinct trajectory groups emerged: low-increasing (8.5%), high-decreasing (9.9%), high-increasing (9.1%), moderate (27.8%), and low (44.8%). Life satisfaction declined among all trajectory groups during the menopausal transition, with the smallest decrease observed in the low trajectory group and the largest in the high-increasing trajectory group. Compared with the low trajectory group, women with rural residency, chronic illness, lower education levels, lack of pension coverage, and lower household income were more likely to be classified into other high-risk depressive trajectory groups.
Conclusion:
Findings reveal heterogeneous depressive trajectory groups among menopausal women in China. Socioeconomically disadvantaged rural women face elevated risks of depressive symptom deterioration. These results highlight the need for improved mental health support and equitable resource allocation to address psychological well-being among vulnerable menopausal populations.
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