The relation of childhood adversity and antisociality to suicide attempts in men admitted to forensic psychiatric hospital
Bibliographic record
Abstract
Suicide is a leading cause of death in custody. Although previous studies with prison inmates suggest a strong relation between childhood adversity and suicidal behavior, as well as between childhood adversity and antisociality, this has not been explored in the forensic psychiatric system. We compared 211 men admitted to a forensic hospital having a lifetime history of suicide attempts with 275 men with no suicide history in the same institution. Data were retrospectively coded from information gathered during their assessment and medical records. We examined associations of adverse childhood events and antisociality with suicide attempt history in a series of regression analyses. Childhood adversity was present in majority of individuals and significantly more common for individuals with a history of suicide attempts (76.8%) than those with no suicide attempts (63.3%). The suicide attempt group also experienced a greater number of adverse childhood events. Physical abuse, parental separation, and parental psychiatric history during childhood were associated with suicide attempts. Men with a suicide attempt history had higher antisociality scores than the comparison group and adult antisocial behavior partially mediated the relationship between adverse childhood experiences and suicide attempts. Men in forensic hospital who have suffered multiple experiences of childhood adversity are at increased risk for exhibiting antisocial behavior and engaging in suicidal attempts. Early interventions targeted toward antisociality and trauma-informed care in the forensic hospital are needed to support the mental health of the forensic population.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".