Let the Body Talk: Preliminary Data of an Open Trial of Dance Movement Therapy for Eating Disorders
Bibliographic record
Abstract
Background: There is growing support for considering Dance Movement Therapy (DMT) as an effective approach to improving physical and psychological symptoms in eating disorders (ED), but additional evidence is needed. The current study aims to investigate the effectiveness of a DMT intervention for inpatients with ED during an in-hospital rehabilitation program for ED in reducing emotion dysregulation and alexithymia and improving interoceptive awareness. Methods: Forty-nine consecutive inpatient young women with ED (aged between 18 and 34 years) recruited from a clinical center for the rehabilitation of obesity and ED received four group sessions of DMT intervention. All participants completed the Difficulties in Emotion Regulation Scale (DERS), the Toronto Alexithymia Scale (TAS), and the Multidimensional Assessment of Interoceptive Awareness Scale (MAIA) before (Time 0) and after the intervention (Time 1). Paired-sample t-tests were run to assess differences between Time 0 to Time 1. Results: From pre-to-post interventions, there was a significant reduction in the means of all of the subscales of DERS, suggesting an improvement in emotion regulation competencies, with the only exception for difficulties in awareness that increased (p = 0.016). We also found a significant reduction in alexithymia, as proved by significant differences in all of the subscales and the total score of TAS (p < 0.001), and significant improvements in interoceptive awareness as suggested by increased scores of the noticing (p = 0.043), emotional awareness (p < 0.001), body listening (p < 0.001), and trusting (p < 0.001) subscales of MAIA. Conclusion: Overall, our results point towards the efficacy of dance/movement in reducing symptoms of eating disorders. Our findings also suggest that dancing can be considered a useful intervention to increase emotional regulation, reduce alexithymia, and enhance interoceptive awareness.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".