Self-compassion and exercise: Men and women's reactions to a recalled exercise failure
Bibliographic record
Abstract
Exercise improves health and wellbeing, yet people experience setbacks when trying to adhere to exercise. Self-compassion (i.e., treating oneself kindly when facing challenges) can help people cope with exercise setbacks. Most exercise and self-compassion research has been conducted with women but self-compassion should help with exercise failures regardless of gender. The purpose of this study was to establish whether gender moderates the association between self-compassion and responses to an exercise setback. Using an online survey, undergraduate exercisers (N = 117, Mage = 20.97) recalled an exercise setback and how they responded regarding motivation, goal re-engagement, rumination, and affect. Using PROCESS, moderation analysis revealed gender (binary) did not moderate the relationships between self-compassion and responses to the exercise setback. Some moderated effects were found when gender was treated as a continuous variable; self-compassion had a stronger negative relationship with two forms of motivation (amotivation: b = -0.59, 95% CI [-0.98, -0.20], t = -3.02, p = .003; and identified regulation: b = 0.40, 95% CI [0.06, 0.74], t = 2.33, p = .021) at high levels of masculinity, while a stronger negative relationship between self-compassion and state rumination was established at high levels of femininity, b = -0.58, 95% CI [-0.92, -0.25], t = -3.50, p < .001. Findings for most outcomes suggest that self-compassion is associated with adaptive responses to setbacks regardless of gender. Researchers should study effects of self-compassion in exercise contexts across genders and the gender continuum, and continue exploring whether gender influences self-compassion's effects in exercise contexts. Key words: self-compassion, physical activity, exercise failure, gender
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".