Exercise and well-being in active women: Relationships with perceived identity-behaviour consistency, affect, and passion
Bibliographic record
Abstract
Background: Although exercise has been linked to women's psychological well-being, we do not fully understand the mechanisms underlying this relationship. Concepts from Identity Theory and the Dualistic Model of Passion show promise in this area but have seldom been examined together. Purpose: To examine the relationships between perceptions of exercise identity behavior consistency (IBC), affective reactions to exercise, passion types and general well-being. Methods: The participants were 63 active, middle-aged women. Measures consisted of self-reported questionnaires administered during two evaluation sessions in the context of a larger study. Analyses consisted of correlations, step-wise linear regression and mediation analyses. Results: Controlling for exercise levels, perceptions of the extent of IBC were significantly correlated with life satisfaction and vitality (ps < .05). The relationship between extent of IBC and vitality was mediated by negative affective reactions to exercise (indirect effect 95% CI [0.06, 0.40]). In addition, there were significant interaction effects between passion types (i.e., obsessive, harmonious) and the extent of IBC in predicting vitality (ps < .05). Among women with higher obsessive passion for exercise, lower perceived consistency between identity and behaviour was associated with lower vitality. Conclusions: The results provide preliminary support in the exercise domain that behavioral verification of an endorsed identity can help promote broader emotional health in women. Moreover, rigid identification with the exerciser role can be tied to needing to exercise to confirm one's identity in order to reap psychological benefits. Interventions should be geared towards helping women assimilate exercise into their view of themselves in a flexible and compassionate way.
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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 | 0.003 |
| 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 | 0.001 | 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 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".