Effectiveness of a culturally adapted cognitive behavioural therapy-based guided self-help (CACBT-GSH) intervention to reduce social anxiety and enhance self-esteem in adolescents: a randomized controlled trial from Pakistan
Bibliographic record
Abstract
BACKGROUND: Social anxiety is common among adolescents in Pakistan and is associated with low self-esteem. Among the recommended treatments, cognitive behavioural therapy (CBT) is effective, and self-help approaches are encouraged. AIM: To determine the effectiveness of culturally adapted CBT-based guided self-help (CACBT-GSH) intervention, using a manual 'Khushi aur Khatoon', for treating social anxiety when added to treatment as usual (TAU) compared with TAU only. METHOD: A total of 76 adolescents with social anxiety aged 13-16 years from six schools in Multan, Pakistan were recruited into this randomized controlled trial. Participants were divided into intervention and control groups in a 1:1 ratio. Social anxiety, self-esteem and fear of negative evaluation were assessed through the Liebowtiz Social Anxiety Scale for children and adolescents, the Rosenberg Self-Esteem Scale and the Brief Fear of Negative Evaluation, respectively, at baseline and at the end of the study. Guided self-help using culturally adapted CBT (CACBT)-based self-help manual (eight sessions, one session per week) was provided to the intervention group. The effect of the CACBT-GSH intervention was analysed with ANCOVA. RESULTS: There was a statistically significant difference between the intervention and the control groups in favour of intervention. Participants in the intervention group showed reduced symptoms of social anxiety (p < .001), fear of negative evaluation (p < .001) and enhanced self-esteem (p < .001). CONCLUSION: The study demonstrated the effectiveness of CACBT-based guided self-help intervention in treating social anxiety and addressing the symptoms associated with it.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".