Emotion‐Focused Family Therapy for Eating Disorders Across the Lifespan: A Pilot Study of a 2‐Day Transdiagnostic Intervention for Parents
Bibliographic record
Abstract
UNLABELLED: Emotion-focused family therapy is a transdiagnostic approach that affords parents and caregivers a significant role in their loved one's recovery from an eating disorder. A 2-day intervention was developed on the basis of emotion-focused family therapy principles and delivered to 33 parents of adolescent and adult children. Data were collected pre- and post-intervention. Through education and skills practice, parents were taught strategies with respect to meal support and symptom interruption as well as emotion coaching. Parents were also supported to identify and work through their own emotional blocks that could interfere with their supportive efforts. Analyses revealed a significant increase in parental self-efficacy, a positive shift in parents' attitudes regarding their role as emotion coach and a reduction in the fears associated with their involvement in treatment, including a decrease in self-blame. Overall, this broad-based, low-cost intervention shows promise, and future research is warranted. Copyright © 2014 John Wiley & Sons, Ltd. KEY PRACTITIONER MESSAGE: A low-cost, intensive emotion-focused family therapy intervention shows promise for parents of individuals with an eating disorder, regardless of their loved one's age, symptom profile or involvement in treatment. Working with parents' emotions and emotional reactions to their child's struggles has the potential to improve supportive efforts. An emotion-focused family therapy intervention for parents yields high satisfaction rates, improves parental self-efficacy and reduces fears regarding their involvement, including self-blame.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".