Group Interpersonal Psychotherapy for Adolescents With Non-suicidal Self-injury: A Randomized Controlled Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Non-suicidal self-injury (NSSI) is a significant clinical concern in adolescents. The goal of this study was to evaluate the efficacy of group interpersonal psychotherapy (G-IPT) combined with treatment as usual (TAU) compared with TAU alone in treating adolescents with NSSI. A randomized controlled trial was conducted in a psychiatric outpatient clinic in Hubei Province, China, involving 52 adolescents 12 to 17 years of age diagnosed with NSSI. Participants were randomly assigned to either the G-IPT combined with TAU group (n=26), who received 12 additional G-IPT sessions, or the TAU-alone group (n=26). Outcomes were assessed using the Ottawa Self-Injury Inventory (OSI), 9-item Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Interpersonal Disturbances Scale (IDS), and Interpersonal Communication Scale (ICS) at pre-treatment [Time Zero (T0)], immediately after completion of G-IPT, or 12 weeks after baseline assessment in the TAU group [Time 1 (T1)], and 3 months after treatment [Time 2 (T2)]. Forty-eight participants completed all assessments. The primary outcomes included a reduction in NSSI frequency and an increase in participants' ability to resist NSSI. Results demonstrated reductions in the OSI item "NSSI in the last month" at T1 (P<0.001) and T2 (P=0.008), as well as significant improvements in the OSI item "Strength to resist NSSI" (P<0.001 at T1; P=0.001 at T2). Significant between-group and interaction effects were observed, indicating that G-IPT combined with TAU was more effective than TAU alone in reducing NSSI behaviors. These findings underscore the potential of G-IPT as an effective adjunct to TAU in clinical settings for adolescent NSSI intervention.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.004 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it