Temporal trend and contributing factors of depressive symptoms in Chinese menopausal women: analysis based on CHARLS panel data.
10.12122/j.issn.1673-4254.2022.07.11
- Author:
Jia Xin LI
1
;
Yan XIAO
1
;
Juan LIAO
2
;
Chun Xia YANG
1
Author Information
1. Department of Epidemiology and Health Statistics, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
2. Non-communicable Diseases Research Center, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- Keywords:
depression;
menopause;
panel data;
risk factors
- MeSH:
China/epidemiology*;
Chronic Disease;
Cross-Sectional Studies;
Depression/psychology*;
Female;
Hot Flashes/psychology*;
Humans;
Menopause/psychology*
- From:
Journal of Southern Medical University
2022;42(7):1038-1043
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To understand the temporal trend of and the factors affecting depressive symptoms in Chinese menopausal women to provide evidence for the development of prevention and treatment strategies.
METHODS:CHARLS data were used to select menopausal women aged 45-60 years. Complete values of the key variables were screened and missing values were removed to obtain the cross-sectional data of the years 2011 (n=4318), 2013 (n=4200), 2015 (n=3930), and 2018 (n= 4147). The panel data were matched by the cross-sectional data, and a total of 5040 cases with complete record of the follow-up data were obtained for the 4 years to constitute a balanced short panel dataset with n=1260 and T=4. The prevalence and temporal trend of depressive symptoms in the menopausal women were analyzed based on the panel data. The random-effects Logit model with a panel dichotomous choice model was used to explore the factors affecting depressive symptoms in the menopausal women.
RESULTS:The prevalence of depressive symptoms in the menopausal women calculated based on the panel data was 35.9%, 33.1%, 36.7% and 43.7% in the 4 years, respectively, showing no statistically significant changes in the temporal trend (APC=3.25%, P=0.183). The results of the random-effects Logit model analysis showed that living in the urban area (OR=0.570, 95%CI: 0.457-0.710), a high education level (OR=0.759, 95%CI: 0.655-0.879), and having a spouse (OR=0.363, 95% CI: 0.236-0.558) were associated with a decreased incidence of depressive symptoms, while poor self-reported health (OR= 2.704, 95% CI: 2.152-3.396), disability (OR=1.457, 95%CI: 1.087-1.954), chronic disease (OR=1.407, 95% CI: 1.179-1.680), falls in the last two years (OR=2.028, 95% CI: 1.613-2.550), abnormal sleep duration (OR=2.249, 95% CI: 1.896-2.664), and dissatisfaction with life (OR=4.803, 95% CI: 3.757-6.140) were associated with an increased incidence of depressive symptoms.
CONCLUSION:The prevalence of depressive symptoms is relatively high in menopausal women in China. Measures should be taken to ensure that the menopausal women living in rural areas, with low education level, without spouse, with a poor self-reported health status, disability, chronic diseases, falls in recent two years, abnormal sleep time and dissatisfaction with life have access to psychological health care services and interventions.
