24-Hour Movement Behaviors of Grade 9 Costa Rican Students: A Pilot Study
Bibliographic record
Abstract
Meeting individual 24-hour movement behavior guidelines of physical activity, sedentary behavior, and sleep is independently and collectively associated with positive physical, psychosocial, and mental health outcomes. The aim of this pilot study was to examine the feasibility of the study and to provide preliminary evidence of the 24-hour movement behaviors of Grade 9 Costa Rican students. Cross-sectional data were collected using the physical activity sub-section of the Global School-Based Student Health Survey with n = 118 students (male = 51) in the Guápiles region of Costa Rica. The proportion of students meeting individual guidelines was: MVPA = 11.0%, strength exercises = 40.7%, sedentary time = 32.2%, and sleep = 39.8%. There were no gender-based differences based on chi-squared analyses of the proportion of males and females meeting each health guideline. One student met all four guidelines examined, and 37 students (31.4% of the sample) did not meet any of the guidelines. Our findings demonstrated that many Grade 9 students in the Guápiles region were not meeting individual 24-hour movement behaviors or combinations of those movement guidelines. These findings demonstrate a need to concurrently examine the 24-hour movement behaviors of Costa Rican youth. Additionally, assessing health and academic outcomes associated with meeting individual and integrated 24-hour movement behavior guidelines is needed.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".