Components of Adolescent Behavioural Interventions With Eating Disorder Outcomes: Systematic Review With Intervention Mapping
Bibliographic record
Abstract
OBJECTIVE: To understand delivery features and intervention strategies of adolescent weight management interventions which may influence eating disorder risk. METHODS: Systematic searches in four databases and two trial registries to identify randomised controlled trials in adolescents with overweight/obesity measuring eating disorder risk pre- and post-intervention. Delivery features and intervention strategies were coded from published descriptions using a project-specific codebook, validated by trial investigators and narratively synthesised. RESULTS: Of 11 860 records screened, 23 trials, with 54 intervention arms, were included in the analysis. Most interventions focused on weight loss and maintenance (54%) and were informed by a cognitive behavioural framework (43%). Interventions commonly targeted an individual with a support person (70%). Median intervention duration was 26 weeks, with weekly (35%) or staged (e.g., weekly, then monthly) visit (41%) frequency. Interventions had a mean (SD) of 30 (16.1) intervention strategies. Most included healthy eating education (89%), physical activity education (89%) and problem-solving barriers to dietary change (80%). Few included mental health strategies (17%). Interventions included 'dietary prescription' (65%), and 78% promoted 'healthful/helpful eating behaviours'. CONCLUSION: Weight management interventions are complex and vary in delivery approach and strategies used to change behaviors. Characterising interventions is a critical first step to understanding how weight management interventions' influence eating disorder risk.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".