Evidence map›Paper›PMID 41321236›Full record

ArticleEpidemiology and psychiatric sciences2025

Transition from depression-free to death in late life: characteristics of bidirectional transitions in depression symptoms.

Xinrui Cui, Guirong Song, Dongmei Hu, Guorong Li, Ying Zhang, Yanan Ma, Xiao Tang

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Article in Epidemiology and psychiatric sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Xinrui CuiDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Guirong SongDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Dongmei HuDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Guorong LiDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Ying ZhangDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Yanan MaKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0003-0385-8929
Xiao TangDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.ORCID https://orcid.org/0000-0003-1941-9437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDepression among middle-aged and older adults is a critical public health priority. Clarifying the dynamic evolution of depression is essential for establishing prevention and intervention strategies; however, relevant research is limited. The aim of this study was to elucidate the transition patterns underlying different depressive symptoms (DS) states.

methodsData from the China Health and Retirement Longitudinal Study were utilised in this study, which included participants aged ≥45 years with multiple DS assessments via the Center for Epidemiological Studies Depression Scale. Multi-state Markov models were employed to estimate transition probabilities and intensities between DS states, the total length of stay and mean sojourn time in each state and the hazard ratios (HRs) of factors.

resultsAmong 19,991 participants (average follow-up: 7.3 years), the 10-year cumulative probabilities of transition from non-DS to depressive states increased by 19.4% in males and 31.8% in females. Mild DS was the most unstable state, with the highest transition intensities (males: 1.029; females: 0.970) and shortest sojourn time (males: 0.959 years; females: 1.022 years). Sex and age strongly influenced depressive state transitions. Compared to participants without chronic disease, those with ≥3 chronic diseases had a higher risk of developing mild DS (HR = 1.685, 95% Confidence Interval [CI]: 1.530-1.856) and transitioning to death from both the non-DS (HR = 2.905, 95% CI: 2.293-3.681) and severe-DS (HR = 3.429, 95% CI: 1.290-9.112) states, but a lower likelihood of recovery from mild DS (HR = 0.821, 95% CI: 0.749-0.900) and severe DS (HR = 0.730, 95% CI: 0.630-0.847). Compared to no participation in social activities, frequent participation was associated with a lower risk of progression to the mild-DS state (HR = 0.851, 95% CI: 0.785-0.920) and a greater likelihood of recovery from severe DS (HR = 1.169, 95% CI: 1.034-1.322). Being underweight was associated with an increased risk of mild-DS onset (HR = 1.338, 95% CI: 1.129-1.587) and transitioning to death from both the non-DS and mild-DS states, compared with individuals of normal weight.

conclusionsOur study revealed a continuous population shift towards depressive states and identified the mild-DS state as a critical intervention state owing to its instability. In addition to sex and age, modifiable factors, including chronic disease conditions, social activity participation and weight status, significantly influenced DS-state transitions, offering actionable insights for precision prevention strategies.

Indexed as

DepressionAgedChinaFemaleHumansLongitudinal StudiesMaleMarkov ChainsMiddle AgedRisk FactorsSex Factorsdepressive symptomsmulti-state Markov modelolder adultsstate transition

Identifiers

PMID41321236
PMCPMC12722190

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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.