Associations between physical activity, screen time, and fitness among 6- to 10-year-old children living in Edmonton, Canada
Bibliographic record
Abstract
The objectives of this study were to describe fitness levels; examine associations between physical activity (PA), screen time (ST), and fitness; and examine sex-moderating effects in a sample of children. Participants were 649 children (age, 7.8 ± 0.6 years; 52.4% female) from Edmonton, Canada. Hours/week of PA and ST were parent-reported. PA was also objectively measured with pedometers and expressed in increments of 1000 steps/day. Fitness components (i.e., vertical jump, sit-and-reach, waist circumference, grip strength, predicted maximal oxygen consumption, push-ups, partial curl-ups, overall fitness) were measured according to the Canadian Physical Activity, Fitness, and Lifestyle Approach protocols and expressed as z scores or low/high fitness. Positive associations were observed between PA and overall fitness for both the complete (subjective: β = 0.009, 95% confidence interval (CI): 0.001-0.017) and partial (≥3 available fitness measures; subjective: β = 0.006, 95% CI: 0.000-0.011; objective: β = 0.025, 95% CI: 0.007-0.042) fitness scores. Subjective (β = 0.011, 95% CI: 0.000-0.022) and objective (β = 0.043, 95% CI: 0.008-0.078) PAs were positively associated with vertical jump. Children with higher objective PA were more likely to be in the high push-ups group (odds ratio = 1.156, 95% CI: 1.054-1.267). PA was positively associated with predicted maximal oxygen uptake (subjective: β = 0.040, 95% CI: 0.018-0.063; objective: β = 0.084, 95% CI: 0.012-0.157) and grip strength (subjective: β = 0.025, 95% CI: 0.011-0.040) in boys only. ST was negatively associated with grip strength (β = -0.016, 95% CI: -0.028 to -0.004) in boys. PA was associated with several components of fitness, especially in boys. However, few associations were observed between ST and fitness. Promoting regular PA in young children may address declining fitness levels.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".