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Record W2518157213 · doi:10.1017/s1041610216001290

Gender and age group differences in suicide risk associated with co-morbid physical and psychiatric disorders in older adults

2016· article· en· W2518157213 on OpenAlexafffundabout
Helen‐Maria Vasiliadis, Catherine Lamoureux‐Lamarche, Samantha Gontijo Guerra

Bibliographic record

VenueInternational Psychogeriatrics · 2016
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversité de SherbrookeHôpital Charles-Le Moyne
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchHealth Research
KeywordsPsychiatryMedicineSuicide preventionMental healthPoison controlOccupational safety and healthInjury preventionMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: It is unclear whether health service use influences the association between psychiatric and physical co-morbidity and suicide risk in older adults. METHODS: Controls were older adults (n = 2,494) participating in a longitudinal study on the health of the elderly carried out between 2004 and 2007, in Quebec. The cases were all suicide decedents (n = 493) between 2004 and 2007, confirmed by the Quebec Coroner's office. Multivariate analyses were carried out to test the association between suicide and the presence of psychiatric and physical illnesses controlling for health service use and socio-demographic factors by gender and age group. Interaction terms were also tested between suicide and co-morbidity on outpatient service use. RESULTS: The presence of physical illnesses only, was associated with a reduced risk of suicide across all sex and age groups. The presence of a mental disorder only was associated with an increased risk of suicide overall and specifically in females and those aged 70 to 84 years of age. Suicide risk was lower in those with a psychiatric and physical co-morbidity and consulting mental health services. CONCLUSIONS: Increased mental health follow-up in older adults with psychiatric illnesses is needed for the detection of suicidal behavior and reducing suicide risk in males. Further research should focus on the mitigating effect of the presence of physical illnesses on stigma and health service use and the presence of social support in the elderly.

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)0.000
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 score0.006
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.017
GPT teacher head0.304
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

Citations17
Published2016
Admission routes3
Has abstractyes

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