Interpersonal Risk Factors for Suicide in Cocaine Dependence: Association with Self‐Esteem, Personality Traits, and Childhood Abuse
Bibliographic record
Abstract
OBJECTIVE: Studies have linked cocaine dependence to suicidality. According to the Interpersonal Theory of Suicide, suicidal behavior becomes likely with the simultaneous presence of perceived burdensomeness (PB), lack of (or thwarted) belongingness (TB), and acquired fearlessness about death (FAD). Here, we examined personality and other variables, including depression, self-esteem, childhood abuse, and substance use, as predictors of these risk factors in cocaine-dependent individuals (CDs). METHODS: Seventy CDs and 70 healthy controls (HCs) participated. We examined group differences in a group-by-sex analysis of variance and identified predictors of PB, TB, and FAD in stepwise regressions. RESULTS: CDs exhibited elevated PB and TB but not FAD, compared to HCs. CDs also exhibited elevated harm avoidance, novelty seeking, depression, and lower self-esteem and reward dependence. Females reported elevated sexual abuse, harm avoidance, reward dependence, depression, but lower FAD, relative to males, among CDs and HCs. Among CDs, PB was predicted by lower self-esteem and greater emotional abuse; TB was predicted by lower self-esteem and reward dependence, as well as greater emotional and sexual abuse; and FAD was predicted by lower harm avoidance and greater physical abuse. CONCLUSIONS: Interventions targeting suicidality in cocaine dependence should take into consideration self-esteem, personality traits, and childhood abuse.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".