Women's self-compassion and exercise motivations
Bibliographic record
Abstract
To gain a further understanding of the role of self-compassion in women's exercise motivations the purpose of this research was to examine the relationship between self-compassion and women's exercise motivations. Participants were 72 women exercisers between 18 and 40 years (M = 24.18, SD = 5.83). The women completed an online questionnaire that included a demographic survey, the Behavioural Regulation in Exercise Questionnaire, the Rosenberg Self-Esteem Scale, the Self-Compassion Scale, the Self- determination Scale, the modified Drive for Muscularity Attitudes Questionnaire, the Drive for Thinness Scale, and the Body Appreciation Scale. The results showed that self-compassion was negatively correlated with introjected motivation (r= -.50, p <.05), drive for muscularity (r= -.30, p <.05), and drive for thinness (r = -.54, p <.05); and that self-compassion was positively correlated with body appreciation (r= .73, p <.05) and self-determined motives to exercise (r= .53, p <.05). Follow-up hierarchical regression analyses showed that self-compassion predicted unique variance beyond self-esteem on introjected motivation (R2 = .25, p <.05; ?R2 = .06, p <.05), drive for thinness (R2 = .29, p <.05; ?R2 = .05, p <.05), and self-determined motives to exercise (R2 = .28, p <.05; ?R2 = .05, p <.05). The current study highlights that self-compassion might play a role in the promotion of adaptive, healthy, and positive exercise motivations for women exercisers.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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 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".