The Role of Body Image Perception on a Continuum from Dysfunctional to Healthy Eating Attitudes and Behaviors Among People Seeking Treatment
Bibliographic record
Abstract
Background: Body image disturbance has been associated with various health conditions and has the potential to trigger the development of unhealthy behaviors, including dysfunctional attitudes and eating behaviors, which may evolve into eating disorders. This study explores the relationship between body image variables—such as global self-worth, physical self-worth, and physical attractiveness—and the continuum of eating attitudes and behaviors. Methods: A canonical correlation analysis was performed to assess the multivariate relationship between attitudinal and perceptual variables and the continuum of eating behaviors, with a total of 113 cases analyzed. Results: The findings indicate that intuitive eating and a positive body image (including global self-worth and physical attractiveness) are most strongly associated with the functional end of the continuum, while disordered eating behaviors and body dissatisfaction are linked to the dysfunctional end. Conclusions: These results suggest that interventions targeting the emotional and attitudinal dimensions of body dissatisfaction, whether delivered in vivo or via virtual reality (e.g., weight exposure), may facilitate a shift toward healthier, more functional eating behaviors along the continuum.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".