Self-Efficacy and Accommodation Behaviors in Caregivers of Youths With Eating Disorders
Bibliographic record
Abstract
Objective: Caregiver factors are important predictors of treatment outcome in pediatric eating disorders. Yet, the literature is predominantly focused on caregivers of cisgender girls and women. This study assessed caregiver accommodation and self-efficacy in families of youth across gender who were in treatment for an eating disorder. Method: The sample included caregivers of cisgender boys ( n = 20), cisgender girls ( n = 18), and trans youths (e.g., transgender, gender diverse, and nonbinary; n = 5). We examined baseline differences in caregiver accommodation and self-efficacy, and also assessed treatment-related changes of these caregiver factors. Results: Accommodating behaviors at baseline were higher in caregivers of cisgender girls than caregivers of cisgender boys. Caregiver self-efficacy increased over treatment, though this effect was only significant for caregivers of cisgender girls. Conclusions: Differences in caregiver factors across youth gender emerged, which may inform development of caregiver interventions for pediatric eating disorders, and adaptations that may need to be considered for caregivers of cisgender boys.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".