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Suicide in the oldest old: an observational study and cluster analysis
Mark Sinyor1, Lynnette Pei Lin Tan2, Ayal Schaffer1
1Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
International Journal of Geriatric Psychiatry
|March 27, 2015
Summary
Suicide patterns in the oldest-old (80+) vary, with cluster analysis revealing three distinct subgroups based on mental health, living situation, and stressors. These findings offer insights for targeted clinical interventions in elderly suicide prevention.
Area of Science:
- Gerontology
- Psychiatry
- Public Health
Background:
- Older adults face elevated suicide risks.
- Understanding specific characteristics of suicide in the oldest-old (80+ years) is crucial for effective prevention.
Purpose of the Study:
- To characterize suicide in the oldest-old population.
- To identify clinically meaningful subgroups among oldest-old suicide victims using cluster analysis.
Main Methods:
- A coroner's chart review of suicide victims in Toronto (1998-2011) was conducted.
- Two age groups were compared: 65-79 years (n=335) and 80+ years (n=191).
- Hierarchical agglomerative cluster analysis (Ward's method) was applied to the 80+ group.
Main Results:
- Significant differences were observed between younger and older age groups regarding marital status, living arrangements, and stressors.
- Cluster analysis identified three distinct subgroups within the 80+ population.
- Cluster 1 (n=124): Married/widowed, higher depression, more medical stressors. Cluster 2 (n=50): Single, living alone, less depression, fewer medical stressors. Cluster 3 (n=17): Lived in care facilities, highest rates of depression, dementia, other mental illness, and prior suicide attempts.
Conclusions:
- This study is the first to employ cluster analysis for identifying subgroups among the oldest-old suicide victims.
- Distinct patterns of suicide exist within the oldest-old population.
- Findings may inform clinical strategies for suicide prevention in the elderly.
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