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Record W2103088462 · doi:10.1093/aje/kwq290

Are Canadian Soldiers More Likely to Have Suicidal Ideation and Suicide Attempts Than Canadian Civilians?

2010· article· en· W2103088462 on OpenAlexafffundabout
Shay‐Lee Belik, Murray B. Stein, Gordon J. G. Asmundson, Jitender Sareen

Bibliographic record

VenueAmerican Journal of Epidemiology · 2010
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Manitoba
FundersNational Institute of Mental HealthCanadian Institutes of Health Research
KeywordsSuicidal ideationSuicide preventionPoison controlHuman factors and ergonomicsInjury preventionOccupational safety and healthPsychiatryMedical emergencyMedicinePsychologyCriminology

Abstract

fetched live from OpenAlex

Significant controversy exists as to whether soldiers are at increased risk for suicide and suicidal behaviors compared with civilians. Furthermore, little is known about whether risk factors for suicidal behaviors in civilian populations are generalizable to soldiers. The aim of the current study is to determine whether the prevalence and correlates of past-year suicidal ideation and suicide attempts differ in Canadian soldiers when compared with Canadian civilians. The current study utilized data from the Canadian Community Health Survey Cycle 1.2-Canadian Forces Supplement in conjunction with the 2001-2002 Canadian Community Health Survey Cycle 1.2. Logistic regression interaction models were used to explore differences between correlates of suicidal ideation and suicide attempts comparing Canadian soldiers with civilians. Although there was no significant difference between the 2 samples on prevalence of past-year suicidal ideation, the prevalence of past-year suicide attempts was significantly lower in the Canadian forces sample compared with the civilian population (odds ratio = 0.41, 95% confidence interval: 0.25, 0.67). Findings suggest that suicide attempts are less common in Canadian active military personnel than in the civilian population. Possible mechanisms for these differences are discussed.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.356
Teacher spread0.310 · 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.

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

Citations32
Published2010
Admission routes3
Has abstractyes

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