Can the Affective Response to Exercise Predict Future Motives and Physical Activity Behavior? A Systematic Review of Published Evidence
Bibliographic record
Abstract
BACKGROUND: Consistent with hedonic theories of behavior, the affective response to physical activity has been posited as an important determinant of future physical activity; yet, we are unaware of an overview of evidence regarding this relationship. PURPOSE: The purpose of this study was to review the published literature regarding whether the affective response to physical activity relates to future physical activity behavior and key motivational constructs. METHODS: A systematic review following PRISMA guidelines was undertaken. RESULTS: Twenty-four studies met the inclusion criteria. A positive change in the basic affective response during moderate intensity exercise was linked to future physical activity, but postexercise affect had a null relationship. Affective responses during and after exercise had a relatively negligible relationship with intention, mixed results for self-efficacy, and a reliable correlation with affective judgments about future physical activity. DISCUSSION: The findings support the basic premise of hedonic theory. Practical application studies with a focus on sustained behavioral interventions are warranted.
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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 | 0.010 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".