Effects of childhood trauma on nonsuicidal self‐injury in adolescent patients with bipolar II depression
Bibliographic record
Abstract
OBJECTIVE: This study was performed to explore the effect of childhood trauma on nonsuicidal self-injury (NSSI) in adolescents with bipolar II (BD II) depression. METHODS: Based on the diagnostic criteria of the DSM-5 and structured interviews to assess the presence or absence of NSSI, 184 adolescent patients with BD II depression were divided into the NSSI (n = 112) and non-NSSI (n = 72) groups. The Adolescent Nonsuicidal Self-Injury Assessment Questionnaire (ANSAQ), Childhood Trauma Questionnaire-Short Form (CTQ-SF), Toronto Alexithymia Scale (TAS-20), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA) were used to assess the subjects. RESULT: The CTQ-SF, HAMD, HAMA, and TAS-20 scores were significantly higher in the NSSI group than in the non-NSSI group (p < .01). Logistic regression analysis showed emotional abuse (p = .028, OR = 1.14, 95% CI = 1.01-1.28) and age of onset (p = .009) as risk factors for NSSI. Adolescents with onset age 12-13 years (OR = 6.30, 95% CI = 1.72-23.10) and 14-15 years (OR = 2.24, 95% CI = 1.04-4.84) had a higher risk of self-injury relative to adolescents aged 16-18 years. CONCLUSION: Childhood trauma and alexithymia were important influencing factors in adolescent patients with BD II depression. Emotional abuse and age of onset as risk factors for NSSI, and difficulties in emotion recognition were positively associated with the patients' NSSI.
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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".