Exercise, physical self-concept, and fitness: A longitudinal cohort study among Quebec’s students
Bibliographic record
Abstract
In Quebec (Canada), college is an important school transition between high school and university. This study aims to analyze changes in behavior relating to physical activity, fitness, and physical self-perceptions among a cohort of students who took part in a college physical education program. This longitudinal study also verifies associations between these changes and whether they differ with regard to gender. Data came from a cohort of 256 adolescents (girls = 169, boys = 87; 17 ± 3 years old) who took part in 6 rounds of assessment. Results from latent growth curve modeling showed that, during college, students showed positive changes in physical self-worth, perceived cardiovascular endurance, and perceived body image. Moreover, their level of aerobic exercise also increased, with a higher rate of change for girls. Even though boys reported better perceptions regarding the dimensions of physical self-esteem at the beginning of college, the evolution of these perceptions does not differ according to gender. The evolution of perceived physical self-worth is positively associated with perceived cardiovascular endurance. The latter is, in turn, positively associated with the evolution of perceived body image. Finally, the evolution of aerobic fitness shows a positive association with the evolution of perceived cardiovascular endurance and physical self-worth. Despite the decline in physical activity observed among late teens, positive changes in physical self-esteem and fitness were observed among youths who participated in three physical education classes during three semesters in college.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".