The relationship of suicide attempt history with childhood abuse and neglect, alexithymia and temperament and character dimensions of personality in substance dependents
Bibliographic record
Abstract
The aim of this study was to evaluate the prevalence of suicide in Turkish male substance dependents, and to investigate the relationship of suicide attempt history with childhood abuse and neglect, alexithymia, and temperament and character dimensions of personality. Participants were 154 consecutively admitted male substance dependents. Patients were investigated with the Childhood Abuse and Neglect Questionnaire, Toronto Alexithymia Scale (TAS-20) and Temperament and Character Inventory (TCI). Among substance-dependent patients, 28.6% was considered a group with suicide attempt history (SAH). Current age was lower and rate of being single was higher in the group with SAH. There were no significant differences between groups in terms of employment, educational status and duration of education. Rates of physical, emotional abuse and neglect, self-mutilation and being alexithymic were higher and ages at first substance use and regular substance use were lower in the group with SAH. Mean scores of "difficulty in identifying feelings" (DIF) and "difficulty in describing feelings" (DDF) subscale EOT of the TAS-20 were higher in the SAH group. Among temperament and character dimensions of the TCI, only "Self-directedness" and "Cooperativeness" were lower in SAH and there were no significant differences between groups in terms of other subscales. Age and Self-directedness score of TCI were determinants for suicide attempt. In particular, young drug users with low Self-directedness scores could be the target population in order to prevent suicidal behavior. This study also suggests that in substance-dependent patients, in the background of all suicidal behavior, childhood abuse and neglect must be evaluated.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".