The Impact of Adverse Childhood Experiences on Depression and Suicidality in Patients with Schizophrenia.
Bibliographic record
Abstract
BACKGROUND: This study aims to investigate the association of adverse childhood experiences (ACE) and depressive symptoms on suicidality in patients with schizophrenia (SCZ) in the Outpatient Consultative Department of the Riga Centre of Psychiatry and Narcology (RPNC). SUBJECTS AND METHODS: A descriptive cross-sectional study was conducted in adult outpatients with SCZ who had not been hospitalized for at least three months. Suicidality was assessed using the Risk Assessment Suicidality Scale (RASS). Depressive symptoms were evaluated with the Calgary Depression Scale for Schizophrenia (CDSS), and ACE were investigated using the Childhood Trauma Questionnaire - Short Form (CTQ-SF). Statistical methods used: Chi-squared test, Fisher's exact test. RESULTS: =14.614, p<0.001). CONCLUSIONS: This study contributes to the existing body of knowledge on suicide attempts, suicidal ideation, and the prevalence of depression in patients with schizophrenia (SCZ) who have a history of childhood abuse. Findings indicate that suicidal ideation is more prevalent among patients experiencing depression at the time of the interview. Personalized interventions are recommended for patients with SCZ who have adverse childhood experiences (ACE) due to their increased risk of suicide attempts.
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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 | 0.002 |
| 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".