Suicide in the oldest old: an observational study and cluster analysis

Sinyor, Mark; Tan, Louis C.S.; Schaffer, Ayal; Gallagher, Damien; Shulman, Kenneth I.

doi:10.1002/gps.4286

Cited by 41 publications

(31 citation statements)

References 35 publications

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“… 11 Sinyor et al identified three clusters among patients aged 80 and older who died by suicide: the first cluster included married or widowed patients, the second was composed of individuals who were living alone or socially isolated, and the third one included people suffering from dementia or depression. 12 …”

Section: Introductionmentioning

confidence: 99%

Suicide in older adults: current perspectives

Conejero¹,

Olié²,

Courtet³

et al. 2018

CIA

294

170

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Suicidal behavior in older adults (65 years old and over) is a major public health issue in many countries. Suicide rates increase during the life course and are as high as 48.7/100,000 among older white men in the USA. Specific health conditions and stress factors increase the complexity of the explanatory model for suicide in older adults. A PubMed literature search was performed to identify most recent and representative studies on suicide risk factors in older adults. The aim of our narrative review was to provide a critical evaluation of recent findings concerning specific risk factors for suicidal thoughts and behaviors among older people: psychiatric and neurocognitive disorders, social exclusion, bereavement, cognitive impairment, decision making and cognitive inhibition, physical illnesses, and physical and psychological pain. We also aimed to approach the problem of euthanasia or physician-assisted suicide in older adults. Our main findings emphasize the need to integrate specific stress factors, such as feelings of social disconnectedness, neurocognitive impairment or decision making, as well as chronic physical illnesses and disability in suicide models and in suicide prevention programs in older adults. Furthermore, the chronic care model should be adapted for the treatment of older people with long-term conditions in order to improve the treatment of depressive disorders and the prevention of suicidal thoughts and acts.

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Section: Introductionmentioning

confidence: 99%

Suicide in older adults: current perspectives

Conejero¹,

Olié²,

Courtet³

et al. 2018

CIA

294

170

View full text Add to dashboard Cite

show abstract

“…That is not the case today. A cursory review of publications from the last year alone shows studies that have analysed coronial data to advance understanding of opioid deaths,19 intimate partner homicide,20 suicide among the elderly21 and deaths in nursing homes 22. We recently used coronial data to link the sharp decline suicide by motor vehicle exhaust asphyxiation with changes in emissions laws in Australia 23…”

Section: The Coroner's Public Health Rolementioning

confidence: 99%

The modern coroner as injury preventer

Studdert¹

2016

Inj Prev

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“…The findings from the previous studies may be applied to doctors by helping them to make a treatment decision. A concept of clustering can be also used to find factors and group people who have a risk of suicide [4]. Clustering is a technique of grouping data containing similar characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Novel Outlier Detection Applied to an Adaptive K-Means

Kanjanawattana¹

2019

IJMLC

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Data clustering is an important task for data management because it groups similar data into clusters and acquires significant knowledge. K-means is one of the popular clustering algorithms; however, there are several weaknesses such as cluster quality often depended on initial centers and too sensitive to an outlier. To address the problems, this study proposed a new method of initial centers selection based on data density and a novel approach of outlier detection based on data distance. I conducted some experiments to evaluate the methods. For the new method of initial centers selection, I compared the number of iterations and the Silhouette scores from this method and the traditional K-means. For the outlier detection system, I measured the system performance by using a confusion matrix. As the results, the system of the study outperformed the traditional K-means because of higher speed and great accuracy acquired.

show abstract

Suicide in the oldest old: an observational study and cluster analysis

Abstract: This is the first study to use the cluster analysis technique to identify meaningful subgroups among suicide victims in the oldest-old. The results reveal different patterns of suicide in the older population that may be relevant for clinical care.

Cited by 41 publications

References 35 publications

Suicide in older adults: current perspectives

Suicide in older adults: current perspectives

The modern coroner as injury preventer

A Novel Outlier Detection Applied to an Adaptive K-Means

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