ArticleBMC public health2024
Age-related differences in the number of chronic diseases in association with trajectories of depressive symptoms: a population-based cohort study.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Article
- The relationship between depressive symptoms and instrumental activities of daily living among older adults in China and its associations with age, sex, and outdoor activity engagement.BMC geriatrics · 2026Observational
- Development and validation of a prediction model for activities of daily living dysfunction among stroke survivors: insights from the CHARLS cohort.Journal of neuroengineering and rehabilitation · 2026Article
- Observational
- Association between education level and depressive symptom trajectories in middle-aged and older Chinese adults: a nationally representative cohort study.BMC psychology · 2026Article
- Remnant Cholesterol Inflammatory Index and Its Association With All-Cause Mortality Among General Population and Individuals With Cardiovascular-Kidney-Metabolic Syndrome Stages 0-3: Evidence From Two Nationwide Studies.Clinical cardiology · 2026Article
- Prediction of depressive symptoms in middle-aged and older adult hospitalized patients with chronic diseases: a multicenter study in Anhui, China using machine learning methods.Frontiers in public health · 2026Article
- Machine learning-based identification of anxiety symptoms in Chinese community-dwelling older adults: a comparative study of six algorithms with SHAP analysis and nomogram development.Frontiers in psychiatry · 2026Article
- Sociodemographic predictors of health-related quality of life dimensions in hypertensive patients: A cross-sectional study in a Ghanaian Municipal Hospital.PLOS global public health · 2026Article
- Association between cognitive leisure activities and symptoms of depression in Chinese middle-aged and older adults: A CHARLS cohort study from 2011 to 2018.Global mental health (Cambridge, England) · 2026Article
- A machine-learning-derived online screening tool for depressive symptoms in patients with cardiovascular and cerebrovascular diseases (CCVD): a cross-sectional study with temporal validation from CHARLS.BMC cardiovascular disorders · 2025Article
- Chronic neck pain as an exacerbating factor for depressive symptoms in a 1-Year longitudinal population study.Scientific reports · 2025Article
- Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China.World journal of psychiatry · 2025Article
- Persistently high and fluctuating trajectories of total and somatic depressive symptoms increase diabetes risk: Two prospective cohort studies.World journal of diabetes · 2025Article
- Depressive symptoms and chronic disease trajectories and predictors in middle-aged and older adults in China: An eight-year multi-trajectory analysis.Global health & medicine · 2025Article
- The impact of depression and associated anxiety symptoms on clinical outcomes in elderly inpatients with digestive system diseases in Southwest China: a retrospective cohort study.BMC psychiatry · 2025Article
- Hip Fractures: Clinical, Biomaterial and Biomechanical Insights into a Common Health Challenge.Bioengineering (Basel, Switzerland) · 2025Review
- Association between eGDR and accelerated aging: the mediating role of ePWV.Diabetology & metabolic syndrome · 2025Article
- Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS.Journal of health, population, and nutrition · 2025Article
- Association between three-timepoint maternal blood pressure trajectories during pregnancy and low birth weight: a longitudinal study based on NHANES 2005-2006.Frontiers in pediatrics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThe number of chronic diseases has been associated with changes in depressive symptoms over time among middle-aged and older adults. This study aimed to explore the association between the number of chronic diseases and trajectories of depressive symptoms and the role of age in this association.
methodsA total of 12,974 middle-aged and older Chinese adults (≥ 45 years) participated in the China Health and Retirement Longitudinal Study (CHARLS) in waves 2011, 2013, 2015, 2018, and 2020. The number of chronic diseases was determined by self-reported hospital diagnosis of hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, heart diseases, stroke, kidney diseases, digestive diseases, emotional, nervous, or psychiatric problems, memory-related disease, arthritis or rheumatism, asthma, and then obtaining the total number of chronic diseases. Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Group-based trajectory modeling (GBTM) was adopted to capture the trajectories of depressive symptoms over time. Multinomial logistic regressions were conducted to examine the association between the number of chronic diseases and trajectories of depressive symptoms and the role of age in this association.
resultsFour distinct trajectories of depressive symptoms were observed in 34.68% individuals in mild, 40.76% in moderate, 19.41% in increasing, and 5.15% in severe group. Compared to participants without chronic diseases, those with one, two, three or more chronic diseases had a 1.81, 3, and 7.49-fold higher risk of developing severe depressive symptom trajectory, respectively. Moreover, the association between the number of chronic diseases and severe depressive symptoms trajectory differed by age (45-59 and ≥ 60 years) (P for interaction < 0.05).
conclusionParticipants with middle age may play a promoting role in the association between the number of chronic disease and severe depressive symptoms. The severe depressive symptoms intervention may be more beneficial for middle-aged adults.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.