The Physical Activity and Sedentary Behaviour Patterns of Children in Kindergarten and Grade 2
Bibliographic record
Abstract
Accompanying the transition from early to middle childhood are substantial changes in children’s educational and recreational circumstances. These changes may affect physical activity levels. This study examined levels of physical activity and sedentary behaviours in kindergarten (age range 5–6 years) and grade 2 (age range 7–8 years). Participants were 96 kindergarten children recruited in the 2010–2011 and 2011–2012 school years and 94 grade 2 children recruited in the 2012–2013 and 2013–2014 school years. A sub-cohort of children was tracked longitudinally from kindergarten to grade 2. Accelerometers were used to measure physical activity and sedentary behaviour. Independent t-tests revealed that children in grade 2 spent significantly less time engaged in physical activity compared to those in kindergarten (292 min/day compared with 354 min/day) and more in sedentary behaviours (443 min/day compared with 368 min/day). For the longitudinal sample, the pattern was similar. Repeated measures ANOVA revealed a significant decrease in physical activity levels (364 min/day to 292 min/day) and a significant increase in sedentary behaviour (368 min/day to 435 min/day) over time. There is a critical need to invest in strategies to maintain higher levels of physical activity across the primary years and reduce sedentary time, since these behaviours affect health outcomes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".