Within‐persons predictors of change during eating disorders treatment: An examination of self‐compassion, self‐criticism, shame, and eating disorder symptoms
Bibliographic record
Abstract
OBJECTIVE: Attempts to identify the predictors of change during eating disorders treatment have focused almost exclusively on identifying between-persons factors (i.e., differences between patients). Research on within-person predictors of change (i.e., variations within patients over time) may provide novel and clinically useful information. To illustrate, we test the theory that within patients, self-compassion, self-criticism, shame, and eating disorder symptoms reciprocally influence one another over time. METHOD: Seventy-eight patients with an eating disorder completed the Self-Compassion Scale, Experience of Shame Scale, and Eating Disorder Examination Questionnaire every three weeks across 12 weeks of treatment. RESULTS: Multilevel modeling revealed that following periods of increased shame, a patient's eating pathology was more severe than usual. Following periods of increased self-compassion or decreased eating pathology, a patient's level of shame was lower than usual. Between-person differences in the relationships among study variables also emerged. DISCUSSION: Results support the theory that shame and eating pathology influence one another cyclically within patients over time, and suggest that time-dependent increases in self-compassion may interrupt this cycle. If replicated, these results might suggest that assessing and intervening with increases in a patient's level of shame may help to reduce her eating pathology, and improving a patient's level of self-compassion or eating disorder symptomology may lower her subsequent experiences of shame. Findings highlight the value of administering and examining repeatedly measured within-person predictors of change during eating disorders treatment, and suggest that it may be clinically important to attend to the changes that occur within a given patient over time. © 2016 Wiley Periodicals, Inc. (Int J Eat Disord 2016; 49:716-722).
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".