ArticleBMC geriatrics2024
Factors associated with a high level of suicide risk among patients with late-life depression: a cross-sectional study from a tertiary psychiatric hospital in Guangzhou China.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictors and risk factors for suicide in late-life depression: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Comparative sentiment and thematic analysis of depression-related discourse between healthcare professionals and non-healthcare individuals on Chinese social media: a computational text analysis study.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundAs global aging accelerates, depression among the elderly becomes more common. Research had revealed that patients with late-life depression (LLD) face a higher risk of suicide compared to their counterparts in other age groups, with the pathways to suicide being multifaceted. Thus, investigating the various factors linked to the elevated risk of suicide in patients with LLD is critical.
objectiveTo investigate the factors associated with a high level of suicide risk among patients with LLD.
methodsA total of 108 patients with LLD were recruited for this study. From October 2022 to November 2023, a cross-sectional study was conducted on patients with LLD from the Affiliated Brain Hospital of Guangzhou Medical University. Suicide risk was evaluated using the Chinese version of the Nurses' Global Assessment of Suicide Risk Scale (NGASR). Potential influencing factors were included and analyzed through multivariate linear regression to identify the factors associated with a high level of suicide risk among patients with LLD.
resultsThe mean NGASR score among patients with LLD was 7.30 ± 4.34 (range: 0 ~ 19). Multiple linear regression analyses revealed that depression-anxiety of the Brief Psychiatric Rating Scale (BPRS) (β = 0.31, 95% CI = 0.13, 0.45, p<0.001), activation of the BPRS (β=-0.29, 95% CI=-1.22, -0.35, p<0.001), normal cognitive function of the Mini-Mental State Examination (MMSE) (β = 0.21, 95% CI = 0.50, 3.48, p<0.05), involuntary admission (β = 0.20, 95% CI = 0.44, 3.43, p<0.05), and objective support of the Social Support Rating Scale (SSRS) (β = 0.21, 95% CI = 0.08, 0.66, p<0.05) were statistically associated with a high level of suicide risk in patients with LLD.
conclusionThis study found that LLD patients with severe depression-anxiety, low activation, normal cognitive function, involuntary admission, and strong objective support exhibited a high level of suicide risk. These patients should receive intensified monitoring and comprehensive measures should be implemented to prevent the occurrence of suicidal behaviors during hospitalization.
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.