Tracking of physical activity during middle school transition in Iranian adolescents
Bibliographic record
Abstract
Objective: The purpose of this longitudinal study was to examine changes in physical activity behavior, psychological factors and interpersonal influences associated with exercise behavior during the transition from secondary school to high school in Sanandaj, Iran. Design: Data were collected from students in 2006 ( N = 1,073), of whom 844 provided follow-up data in 2009. Setting: The students were in high school in 2009 (51% male) with a mean age of 16.42 ± 1.73 years. Method: Physical activity-related cognitions, interpersonal influences, and physical activity behavior were measured using self-report questionnaires. To assess the effects of time and sex on psychosocial factors, analysis of variances (ANOVAs) were conducted. The relative stability of physical activity psychosocial correlates from wave 1 through wave 2 was assessed using Pearson product-moment correlations. Results: There were significant differences according to sex across time for physical activity, psychological variables and interpersonal influences associated with exercise activities. The girls were less active than boys at both time points. Girls reported lower self-efficacy and perceived more barriers and fewer perceived benefits for physical activity over time. Interpersonal influences on activity were more stable for girls than boys. Conclusion: The results offer evidence for decreasing physical activity in boys and girls and sex differences in cognitive variables and interpersonal influences. This is important for understanding how to address the problem of physical inactivity among Iranian youth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".