Evidence map›Paper›PMID 21384121›Full record

ArticleSocial psychiatry and psychiatric epidemiology2012

Depressive symptoms and suicide in 56,000 older Chinese: a Hong Kong cohort study.

Wen Jie Sun, Lin Xu, Wai Man Chan, Tai Hing Lam, C Mary Schooling

Registry-linked trialAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05995587 (Mindfulness-Based Cognitive Therapy in Managing Depressive Symptoms in Older People), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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.

2 · The registry

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.

NCT05995587 nacompletednot on this mapstarted 2022, after this paper: background citation

Mindfulness-Based Cognitive Therapy in Managing Depressive Symptoms in Older People: A Non-Randomised Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2022 to 2023Enrolled112ConditionsDepressive SymptomsArmsMindfulness-based cognitive therapy (MBCT)
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Wen Jie SunDepartment of Community Medicine, School of Public Health, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
Lin Xu
Wai Man Chan
Tai Hing Lam
C Mary Schooling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine dose-response associations between depressive symptoms and suicide and modification effects of sex, age and health status in older Chinese.

methodsWe used the Chinese version of the 15-item Geriatric Depression Scale (GDS) to measure depressive symptoms (GDS score ≥ 8) and Cox regression to examine association with suicide mortality in a population-based cohort of 55,946 individuals, aged 65 years or above, enrolled from July 1998 to December 2000 at one of 18 Elderly Health Centres of Hong Kong Department of Health. The cohort was followed up for suicide mortality till 31 March 2009 (mean follow-up 8.7 years).

resultsDepressive symptoms were associated with suicide in men [hazard ratio (HR) 2.03, 95% confidence interval (CI) 0.96-4.29] and women (HR = 2.36, 95% CI 1.31-4.24) after adjusting for age, education, monthly expenditure, smoking, alcohol drinking, physical activity, body mass index, health status, and self-rated health. There was no threshold for GDS score and suicide in either sex. Age, sex and health status did not modify the association.

conclusionsDepressive symptoms predict higher suicide risk in older Chinese in a dose-response pattern. These associations were not attenuated by adjustment for health status, suggesting that depressive symptoms in older people are likely to be an independent causal factor for suicide. The GDS score showed no threshold in predicting suicide risk, suggesting that older people with low GDS scores deserve further attention and those with very high scores need urgent intervention.

Indexed as

Health Status IndicatorsAgedAged, 80 and overAsian PeopleCohort StudiesDepressive DisorderFemaleFollow-Up StudiesGeriatric AssessmentHealth ExpendituresHong KongHumansLife StyleMalePrevalenceProportional Hazards Models

Identifiers

PMID21384121
PMCPMC3304054

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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.