Objectively measured physical activity of young Canadian children using accelerometry
Bibliographic record
Abstract
The objective of the study was to describe objectively measured physical activity (PA) and sedentary time of infants, toddlers, and preschoolers and determine the proportion meeting Canadian age-specific PA guidelines. Ninety children (47 girls, 43 boys; mean age 32 (range, 4-70) months) attending scheduled health supervision visits and in the TARGet Kids! (The Applied Research Group for Kids) cohort wore an Actical accelerometer for 7 days. Participants with 4 or more valid days were included in the analysis. Time, in mean minutes per day (min/day), spent sedentary and in light PA, moderate to vigorous PA (MVPA), and total PA was determined using published cut-points; age groups were compared using ANOVA. Twenty-three percent of children <18 months (n = 28) and 76% of children aged 18-59 months (n = 45) met the guideline of 180 min/day of total PA; 13% of children ≥60 months (n = 17) met the guideline of 60 min/day of MVPA. Children <18 months spent more of their waking time per day engaged in sedentary behaviours (79%; ∼7.3 h) compared with children aged 18-59 months (63%; ∼6.6 h) and children ≥60 months (58%; ∼6.6 h). In conclusion, most children aged 18-59 months met the Canadian PA guidelines for children aged 0-4 years, whereas few younger than 18 months met the same guidelines. Only 13% of children ≥5 years met their age-specific PA guidelines. Further research is needed to develop, test, and implement effective strategies to promote PA and reduce sedentary behaviour in very young children.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".