The relationship between role and social identities and physical activity participation: a systematic review and meta-analysis
Bibliographic record
Abstract
Physical activity participation rates are low and stagnant. Understanding the determinants of physical activity therefore remains a priority. One area that has become prominent in such efforts is whether possessing strong physical activity-related role identities and physical activity-related social identities can shape participation. In this review, we aimed to synthesise all research examining the relationship between these two distinct forms of identities and physical activity participation. A search of six databases yielded 3,180 articles, with 49 satisfying our inclusion criteria. Random effects meta-analyses showed a significant positive association (r = .40) between role identity and participation across 35 studies, and a significant positive association (r = .20) between social identity and participation across 15 studies. Moderator analyses revealed the relationship between identity and participation was significantly stronger for adolescents/young adults compared to adults. Although non-significant, it also tended to be stronger in studies that used subjective participation measures, and when assessed cross-sectionally rather than prospectively/longitudinally. Findings suggest that physical activity participation is shaped by the extent to which people internalise physical activity roles and group memberships into their self-concept. Greater efforts to understand how role and social identities can be fostered and the participation-related benefits of such efforts 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 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.015 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".