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Record W2039444871 · doi:10.1016/s0924-9338(11)73867-6

Decision making and vulnerability to suicidal behaviour in elderly

2011· article· en· W2039444871 on OpenAlexaff
Philippe Courtet, Marilyn Wyart, Isabelle Jaussent, Karen Ritchie, Fabrice Jollant

Bibliographic record

VenueEuropean Psychiatry · 2011
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsVulnerability (computing)Suicide attemptDepression (economics)PsychologyCognitive vulnerabilityPsychiatrySuicide preventionClinical psychologySuicidal ideationNeuropsychologySuicidal behaviorIowa gambling taskCognitionPoison controlMedicineMedical emergencyDepressive symptomsComputer security

Abstract

fetched live from OpenAlex

Suicide is a major public health concern, especially for older adults, who have higher rates of completed suicide than any other age group in most countries of the world. However, understanding suicidal behaviour remains a challenging task particularly among the elders who have been poorly studied. Decision making has been recently found to be altered in suicide attempters under 65.To test wether decision making would be a neuropsychological trait of vulnerability to suicidal behaviours, the authors used the Iowa Gambling Task to investigate normothymic non demented elders with a history of suicidal behaviour (N = 35) and compared it to decision making in non suicide attempters with a past history of depression (N = 52) and comparison subjects (N = 43). The data also were compared to those of similar groups of younger normothymic subjects. Moreover, the old suicidal patients were assessed according to the age at the onset of suicidal behaviour (before or after 60).Old suicide attempters did not significantly differ from the other aged groups and according to the age of first suicidal behaviour. Old suicide attempters presented better performances than that of younger suicidal patients.Vulnerability to suicidal behaviour in older people may proceed from cognitive processes which are different from the ones involved in suicidal vulnerability of younger subjects. These results are preliminary and further studies are needed to explore vulnerability cognitive patterns to suicide among elders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.328
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2011
Admission routes1
Has abstractyes

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