Are preschoolers most active during the first ten minutes of outdoor play at childcare?
Bibliographic record
Abstract
Background: Moderate-to-vigorous physical activity (MVPA) provides preschoolers (2.5-5y) with many health benefits, and at childcare time spent this behaviour is primarily accrued outdoors. Purpose: The purpose of this cross-sectional analysis of the Supporting Physical Activity in the Childcare Environment (SPACE) study was to examine the influence of varying outdoor play schedules (2 x 60-minute versus 4 x 30-minute sessions) on preschoolers’ activity levels outdoors. Methods: Preschoolers wore an Actical accelerometer for 5 days during childcare for the final week of the SPACE intervention; outdoor times were logged by staff. Separate linear mixed effects models were performed to assess the effect of the SPACE intervention on preschoolers’ outdoor physical activity (total, MVPA) and sedentary time, with sex entered as an interaction effect. Results: Preschoolers (n = 292) were significantly more active within the first 10 minutes of outdoor play compared with remaining time (p < .0083). Across total outdoor time, preschoolers in the experimental group were significantly less sedentary than those in the control group (p < .017), and boys and girls in the experimental group engaged in greater MVPA than their counterparts in the control group (p < .017). Conclusions: Findings provide support for scheduling shorter, more frequent outdoor play periods to increase physical activity and decrease sedentary time among preschoolers. Funding: Canadian Institutes of Health Research.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".