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Record W6944933547 · doi:10.20381/ruor-20635

Association between exposure to suicide and suicidality outcomes in youth

2013· article· en· W6944933547 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Ottawa - Library · 2013
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSuicide preventionPoison controlSuicidal ideationRespondentInjury preventionAssociation (psychology)Human factors and ergonomics

Abstract

fetched live from OpenAlex

Background: Ecological studies support the popularized hypothesis that suicide may be “contagious”, in that exposure to suicide may influence risk for suicide and related outcomes. However, this association has not been assessed adequately in prospective studies. The purpose of this study was to estimate the association between exposure to suicide and suicidality outcomes in Canadian youth. Methods: The study used baseline information from the National Longitudinal Survey of Children and Youth (NLSCY) between 1998/99 and 2006/07 with follow-up assessments two years later. Participants included all respondents aged 12-17 in Cycles 3-7 (1998/99-2006/07) with measures on suicide exposures (N=8,766 ages 12-13; N=7,802 ages 14-15; N=5,496 ages 16-17). Results: Exposure to a schoolmate’s suicide was associated with ideation at baseline in ages 12-13 (OR=5.06; 95%CI: 3.04-8.40), 14-15 (OR=2.93; 95%CI: 2.02-4.24), and 16-17 (OR=2.23; 95%CI: 1.43-3.48); it was further associated with attempts in ages 12-13 (OR=4.57; 95%CI: 2.39-8.71), 14-15 (OR=3.99; 95%CI: 2.46-6.45), and 16-17 (OR=3.22; 95%CI: 1.62-6.41). Personally knowing someone who died by suicide was similarly associated with suicidality outcomes for all age groups. Two-year outcomes were assessed for ages 12-15; a schoolmate’s suicide predicted suicide attempts in both 12-13 (OR=3.07; 95%CI: 1.05-8.96) and 14-15 year-olds (OR=2.72; 95%CI: 1.47-5.04). Among those who reported a schoolmate’s suicide, whether the respondent personally knew the decedent did not alter suicidality risk. Interpretation: These results generally support school-wide over current targeted interventions, particularly over strategies that suggest targeting interventions toward those closest to the decedent.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

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)0.0010.000

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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