Predictors of Adolescents’ Response to a Web-Based Intervention to Improve Psychosocial Adjustment to Having an Appearance-Affecting Condition (Young Person’s Face IT): Prospective Study
Bibliographic record
Abstract
BACKGROUND: Adolescents with a condition affecting their appearance that results in a visible difference can be at risk of psychosocial distress and impaired adjustment. Evidence for the effectiveness of existing interventions in improving psychosocial outcomes is limited, and relevant treatment can be difficult to access. Young Person's Face IT (YPF), a self-guided web-based intervention, has demonstrated potential in reducing social anxiety in adolescents with a visible difference. However, more knowledge is needed about the variables that contribute to variations in intervention effects to identify those who may benefit most from YPF. OBJECTIVE: This study aimed to investigate demographic, psychosocial, and intervention-related variables as predictors of overall intervention effects after adolescents' use of YPF. METHODS: We used longitudinal data collected as part of a larger, ongoing mixed methods project and randomized controlled trial (ClinicalTrials.gov NCT03165331) investigating the effectiveness of the Norwegian version of YPF. Participants were 71 adolescents (mean age 13.98, SD 1.74 years; range 11-18 years; 43/71, 61% girls) with a wide range of visible differences. The adolescents completed primary (body esteem and social anxiety symptoms) and secondary (perceived stigmatization, life disengagement, and self-rated health satisfaction) outcome measures at baseline and postintervention measurement. The predictor variables were demographic (age and gender), psychosocial (frequency of teasing experiences related to aspects of the body and appearance as well as depressive and anxiety symptoms), and intervention-related (time spent on YPF) variables. RESULTS: Two-thirds (47/71, 66%) of the adolescents completed all YPF sessions and spent an average of 265 (SD 125) minutes on the intervention. Backward multiple regression analyses with a 2-tailed P-value threshold of .20 revealed that several variables were retained in the final models and predicted postintervention outcome changes. Body esteem was predicted by age (P=.14) and frequency of teasing experiences (P=.09). Social anxiety symptoms were predicted by gender (P=.12), frequency of teasing experiences (P=.03), depressive and anxiety symptoms (P=.08), and time spent on YPF (P=.06). Perceived stigmatization was predicted by age (P=.09), gender (P=.09), frequency of teasing experiences (P=.19), and depressive and anxiety symptoms (P=.06). Life disengagement was predicted by gender (P=.03), depressive and anxiety symptoms (P=.001), and time spent on YPF (P=.14). Self-rated health satisfaction was predicted by age (P=.008). However, the results were limited by relatively low explained postintervention variance, ranging from 1.6% to 24.1%. CONCLUSIONS: This study suggests that adolescent boys, adolescents who experience higher levels of psychosocial distress related to their visible difference, and adolescents who spend sufficient time on YPF may obtain better overall intervention effects.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".