Is Self-Compassion an Effective Strategy for Improving Body Image and Related Constructs among Women with Normal Weight and Excess Weight?
Bibliographic record
Abstract
Negative attitudes towards one’s own body are common amongst women in Western society and have been linked to adverse consequences including negative affect, low self-esteem, and eating pathology. Self-compassion has been found effective in improving body image; however, no published studies have examined self-compassion in populations with excess weight despite the positive correlation between weight and body dissatisfaction. The current study examined the efficacy of a self-compassion exercise in participants with negative body image and either normal or excess weight to determine whether self-compassion differently affects body image, affect, and self-esteem across weight groups. The self-compassion exercise promoted more adaptive body image and self-compassion than the control condition for those with high weight bias internalization (WBI; i.e., internalization of society’s negative stigma against those with excess weight). Additionally, WBI was significantly related to less adaptive levels of outcome variables regardless of condition. Implications for future body image interventions are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".