Lived experience perspectives on a definition of eating disorder recovery in a sample of predominantly white women: a mixed method study
Bibliographic record
Abstract
BACKGROUND: There has recently been a push for recovery-focused research in the eating disorder (ED) field, starting with a consensus definition of recovery. One definition, in particular, proposed by Bardone-Cone et al. [21] has received considerable attention given its transdiagnostic nature and validation studies. However, no studies to date have elicited lived experience views of this definition. The goal of the current study was to examine perspectives on this definition of recovery from individuals with a past or present ED and to determine whether participant agreement with the model differed based on diagnostic history or current symptom severity. METHODS: Sixty-two individuals (95.2% women; 91.9% White/European) participated in a 1-2 h interview aimed at capturing their perspectives on ED recovery. Transcripts were analyzed using qualitative content analysis and codebook thematic analysis to examine agreement with and thoughts on Bardone-Cone's definition of recovery, respectively. Chi-squared tests of independence and binary logistic regression were computed to determine whether agreement with the definition differed across diagnostic history and self-reported symptoms. RESULTS: Although some participants indicated acceptance of the definition, the majority expressed concerns related to its categorical nature, proposed criteria, feasibility, language, and applications. There were no differences in acceptance based on diagnostic history or current symptom severity. CONCLUSION: A single definition of recovery does not seem to fit individuals' lived ED experience. Future research may benefit from distinguishing between recovery as an individually-defined phenomenon and related constructs such as remission (i.e., loss of diagnosis or absence of clinical symptoms). A more comprehensive multi-faceted, and person-centered model of recovery may have merit in clinical settings.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".