Social Physique Anxiety in Female Varsity Athletes
Bibliographic record
Abstract
PURPOSE: To examine social physique anxiety in female varsity athletes participating in soccer, volleyball, hockey, basketball, rugby, and cross-country. A secondary purpose was to examine the level of social physique anxiety experienced by the female athletes when grouped according to the type of uniform (i.e., loose vs. firm-fitting) worn during competition. METHODS: Ninety-two female varsity athletes in their first through fifth year of study in a relatively small primarily undergraduate university participated in this research project. These participants completed the nine-item Social Physique Anxiety Scale (SPAS-9) and the data were analyzed using ANOVA. RESULTS: The average SPAS-9 score for the female athletes was 27.0 ±7.7. There were no significant differences (p = 0.188) in the social physique anxiety experienced among the female athletes participating in the six different varsity sports. Females who competed in volleyball (29.9 ± 9.9) and soccer (29.8 ± 6.9) reported the most social physique anxiety while females who competed in hockey (24.6 ± 6.9) and basketball (25.1 ± 9.0) reported the least. Further, there were no significant differences in the SPAS-9 scores when the female athletes were grouped according to loose-fitting (26.4 ± 7.3) or form-fitting (28.6 ± 8.6) competition uniforms. Although there were no significant differences in mean SPAS-9 scores among the different varsity teams volleyball, soccer, and cross country athletes had relatively high mean SPAS-9 scores. CONCLUSIONS: Thus, social physique anxiety is an important variable to consider in females, regardless of the sport type or uniform worn for competition, as high levels of social physique anxiety may have negative implications for the female athlete's psychological and physiological health.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".