Body image and exercise : the role of eating pathology, internalization, and self-efficacy
Bibliographic record
Abstract
Body image dissatisfaction has been demonstrated to predict engagement in a variety of health-related activities, including exercise. However, not all individuals who are dissatisfied with their bodies engage in exercise. The purpose of the study was to examine how body image dissatisfaction interacts with specific variables to influence exercise behaviour. These variables were eating pathology, internalization of social standards of attractiveness, and self-efficacy related to exercise. Participants included 194 female undergraduate students who completed a questionnaire assessing exercise participation, the Body Image Ideals Questionnaire (BIQ), the Revised Restraint Scale (RRS), the Sociocultural Attitudes Towards Appearance Questionnaire (SATAQ), and the Exercise Self-Efficacy Scale (ESES). The data was analyzed using 2 x 3 between groups factorial ANOVAs. Consistent with predictions, restrained eaters with high body image dissatisfaction exercised significantly more than unrestrained eaters with high body image dissatisfaction, and participants with high self-efficacy for exercise participated in significantly more exercise than those with low self-efficacy. Contrary to expectations, high sociocultural internalization was associated with significantly less exercise than low sociocultural internalization. These findings contribute to the existing literature by clarifying how the relationship between body image dissatisfaction and variables such as dietary restraint, internalization of sociocultural appearance norms, and self-efficacy influence exercise participation.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .B47. Source: Masters Abstracts International, Volume: 42-01, page: 0344. Adviser: Josee Jarry. Thesis (M.A.)--University of Windsor (Canada), 2003.
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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 | 0.004 |
| 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 | 0.001 |
| 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".