The overall prevalence of among 1,105 perimenopausal women is 39.3%, with higher rates in rural areas (42.4%) compared to urban areas (34.4%).
Life satisfaction, self-rated health, and sleep duration are common factors influencing depressive symptoms in both urban and rural settings.
Chronic disease, hospitalization history, financial support from children, and child contact are associated with depressive symptoms in urban perimenopausal women.
, cognitive function, and total annual household income are uniquely linked to depressive symptoms in rural perimenopausal women.
Significant differences exist in the factors contributing to depressive symptoms between urban and rural perimenopausal women.
Simplified
is a high-risk period for in women. Investigating the urban-rural differences in key factors associated with depressive symptoms among Chinese perimenopausal women can provide a scientific basis for developing targeted intervention strategies. Using data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), we employed a random forest model combined with Shapley value decomposition (a cooperative-game-theoretic approach that quantifies each variable's marginal contribution to model accuracy), supplemented by logistic regression analysis, to systematically explore urban-rural differences in key factors influencing depressive symptoms in perimenopausal women. Among 1,105 perimenopausal women, the overall prevalence of depressive symptoms was 39.3%, with 34.4% in urban areas and 42.4% in rural areas. Life satisfaction, self-rated health, and sleep duration emerged as common factors affecting depressive symptoms in both urban and rural perimenopausal women. Chronic disease, hospitalization history, children's financial support, and child contact were unique key factors influencing depressive symptoms in urban women. In contrast, (ADL), cognitive function, and total annual household income were unique key factors influencing depressive symptoms in rural women. Significant urban-rural differences exist in the key factors associated with depressive symptoms among Chinese perimenopausal women. Policy makers should therefore design context-specific mental-health programmes. for example, urban initiatives could integrate chronic-disease management with family-based psychosocial support, whereas rural programmes might combine economic-security improvements with community-level cognitive-health screening and rehabilitation of activities of daily living-to maximise intervention effectiveness.
Key numbers
434 of 1105
Prevalence of
Total participants with in the study cohort.
34.4% vs. 42.4%
Urban vs. Rural Prevalence
prevalence in urban and rural perimenopausal women.
Full Text
We can’t show the full text here under this license.
Declarations. Competing interests: The authors declare no competing interests. Ethics approval and consent to participate: All interviewees were required to sign informed consent, and ethics approval for the data collection in CHARLS was obtained from the Biomedical Ethics Review Committee of Peking University (IRB00001052-11015). All procedures of the study were performed in accordance with approved guidelines and regulations.
