Application of a social cognitive model in explaining physical activity in Iranian female adolescents
Bibliographic record
Abstract
Adolescent Iranian girls are at high risk for physical inactivity due to cultural barriers such as restrictions regarding exercising in public and research is needed to explore ethnic and gender-related factors associated with physical activity (PA) participation. Using social cognitive theory as the guiding model, the purpose of this study was to test the fit and strength of barriers self-efficacy, outcome expectations, self-regulation and social support in explaining PA in female Iranian adolescents (n = 558). Using path analysis, social support was modeled as an antecedent of self-efficacy and outcome expectations, while self-efficacy was modeled as an antecedent of outcome expectations, self-regulatory planning and PA. Outcome expectations and self-regulatory planning were subsequently modeled as additional antecedents of PA. The model explained 52% of the variance in PA. The two significant (P < 0.05) direct effects were from self-efficacy and outcome expectations. Social support from mothers, fathers and friends had significant indirect effects on PA through self-efficacy. These results will allow for future research and interventions not only for female Iranian adolescents but also for similar cultural and immigrant groups that have been neglected to date in the PA literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".