The relationship between body-related self-conscious emotion and physical activity across the lifespan
Bibliographic record
Abstract
Body image refers to the perceptions and attitudes (thoughts, feelings, and behaviors) people have about their own bodies. Although body image has generally been investigated as a negative construct, it can also be positive, and these appear to be distinct constructs. Research has shown that physical activity is associated with improved body image. Recently, interest has turned to examining self-conscious emotions (i.e., guilt, shame and pride) related to the body and how they may be related to physical activity. In young women and men, physical activity is related to body shame (negative) and pride (positive); however, these relationships among a more diverse sample have yet to be investigated. The purpose of this study was to examine whether body self-conscious emotions (shame, guilt, hubristic and authentic pride) were related to moderate-to-vigorous activity between men and women across the lifespan. Two-hundred-and-six women and 144 men between the ages of 18 and 85 years self-reported body-related self-conscious emotions and physical activity. Regression analysis predicting physical activity from the self-conscious emotions, controlling for gender, were statistically significant, and accounted for 12.6% of the variance in physical activity. Gender, guilt, and authentic pride were significant predictors, with self-conscious emotions accounting for 4.6% of the variance in physical activity on their own. Results from this study provides evidence on how moderate-to-vigorous physical activity may promote both negative and positive body image.
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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 | 0.001 | 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 | 0.000 |
| 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".