ArticlePloS one2016
Trajectory Pathways for Depressive Symptoms and Their Associated Factors in a Chinese Primary Care Cohort by Growth Mixture Modelling.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study.BMC medical informatics and decision making · 2025Article
- Care trajectories of people with mood disorders in Quebec using latent class and latent profile analysis methods.Journal of mood and anxiety disorders · 2025Article
- Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model.BMC geriatrics · 2023Article
- Effect of Personality Traits on Sustained Remission Among Patients with Major Depression: A 12-Month Prospective Study.Neuropsychiatric disease and treatment · 2022Article
- Trajectories of middle-aged and elderly people's chronic diseases Disability Adjusted Life Years (DALYs): cohort, socio-economic status and gender disparities.International journal for equity in health · 2021Article
- Dose-response relationship between intergenerational contact frequency and depressive symptoms amongst elderly Chinese parents: a cross-sectional study.BMC geriatrics · 2020Article
- The mediating role of sleep quality in the association between nocturia and health-related quality of life.Health and quality of life outcomes · 2019Article
- Gender and Age Effects on the Trajectory of Depression in Opioid Users during Methadone Maintenance Treatment.Frontiers in psychiatry · 2017Article
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3 authors.
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Abstract
backgroundThe naturalistic course for patients suffering from depressive disorders can be quite varied. Whilst some remit with little or no intervention, others may suffer a more prolonged course of symptoms. The aim of this study was to identify trajectory patterns for depressive symptoms in a Chinese primary care cohort and their associated factors. METHODS AND
resultsA 12-month cohort study was conducted. Patients recruited from 59 primary care clinics across Hong Kong were screened for depressive symptoms using the Centre for Epidemiologic Studies Depression Scale (CES-D) and monitored over 12 months using the Patient Health Questionnaire-9 items (PHQ-9) administered at 12, 26 and 52 weeks. 721 subjects were included for growth mixture modelling analysis. Using Akaike Information Criterion, Bayesian Information Criterion, Entropy and Lo-Mendell-Rubin adjusted likelihood ratio test, a seven-class trajectory path model was identified. Over 12 months, three trajectory groups showed improvement in depressive symptoms, three remained static, whilst one deteriorated. A mild severity of depressive symptoms with gradual improvement was the most prevalent trajectory identified. Multivariate, multinomial regression analysis was used to identify factors associated with each trajectory. Risk factors associated with chronicity included: female gender; not married; not in active employment; presence of multiple chronic disease co-morbidities; poor self-rated general health; and infrequent health service use.
conclusionsWhilst many primary care patients may initially present with a similar severity of depressive symptoms, their course over 12 months can be quite heterogeneous. Although most primary care patients improve naturalistically over 12 months, many do not remit and it is important for doctors to be able to identify those who are at risk of chronicity. Regular follow-up and greater treatment attention is recommended for patients at risk of chronicity.
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