ArticleBMC geriatrics2023
Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model.
Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Prevalence and Predictors of Depressive Symptom Trajectories in Older Adults: A Systematic Review.Brain and behavior · 2026Pooled it
- Effects of sarcopenic obesity on depressive symptoms and their trajectories: findings from the CHARLS 2011-2020.Social psychiatry and psychiatric epidemiology · 2026Article
- Longitudinal trajectories and predictive factors of depressive symptomatology in Chinese elderly with hearing loss: a growth mixture modeling analysis.BMC geriatrics · 2026Article
- Latent profiles of childhood maltreatment and influence on later-life depressive symptoms trajectories: evidence from China.BMC psychology · 2026Article
- Association of the sarcopenia index with incident depressive symptoms and adverse depressive symptom trajectories.Frontiers in nutrition · 2026Article
- Occupational and psychosocial risk factors for depression among uninsured middle-aged food delivery riders.BMC psychology · 2025Article
- Association between body roundness index and trajectories of depressive symptoms among Chinese middle-aged and older adults: a nationwide cohort study from CHARLS.BMC psychology · 2025Article
- Trajectories of depressive symptoms in middle-aged and older Chinese adults: identifying subgroups, core symptoms and predictors.BMC psychiatry · 2025Observational
- Trajectories of health status and their association with rheumatoid arthritis risk: insights from a national prospective cohort study.BMC public health · 2025Article
- Heterogeneous depressive symptom trajectories among women with type 2 diabetes: findings from the Women's Interagency HIV Study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Trajectory patterns and influencing factors of depression due to child bereavement among older adults in China: a 5-year longitudinal study.Frontiers in public health · 2025Article
- Article
- Trajectories of depression and predictors in lung cancer patients undergoing chemotherapy: growth mixture model.BMC psychiatry · 2024Article
- Relieving Depressive Symptoms Through Chinese Relational Culture Among Older Adults with Multimorbidity: Evidence from CHARLS.Psychology research and behavior management · 2024Article
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3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundGiven the rapidly rising proportion of the older population in China and the relatively high prevalence of depressive symptoms among this population, this study aimed to identify the trajectories of depressive symptoms and the factors associated with the trajectory class to gain a better understanding of the long-term course of depressive symptoms in this population.
methodsData were obtained from four wave's survey of the China Health and Retirement Longitudinal Study (CHARLS). A total of 3646 participants who aged 60 years or older during baseline survey, and completed all follow-ups were retained in this study. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Growth mixture modelling (GMM) was adopted to identify the trajectory classes of depressive symptoms, and both linear and quadratic functions were considered. A multivariate logistic regression model was used to calculate the adjusted odds ratios (ORs) of the associated factors to predict the trajectory class of participants.
resultsA four-class quadratic function model was the best-fitting model for the trajectories of depressive symptoms in the older Chinese population. The four trajectories were labelled as increasing (16.70%), decreasing (12.31%), high and stable (7.30%), and low and stable (63.69%), according to their trends. Except for the low and stable trajectory, the other trajectories were almost above the threshold for depressive symptoms. The multivariate logistic regression model suggested that the trajectories of chronic depressive symptoms could be predicted by being female, living in a village (rural area), having a lower educational level, and having chronic diseases.
conclusionsThis study identified four depressive symptom trajectories in the older Chinese population and analysed the factors associated with the trajectory class. These findings can provide references for prevention and intervention to reduce the chronic course of depressive symptoms in the older Chinese population.
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