Compliance with the WHO 24-h movement guidelines and associations with body weight status among preschool children in Hong Kong
Bibliographic record
Abstract
This study aimed to investigate the extent to which preschool children in Hong Kong meet the World Health Organization’s (WHO) 24-h movement guidelines and to examine the associations between meeting the guidelines and body weight status. Data from 251 preschoolers (141 boys) aged between 3 and 6 years were analysed. The children wore an activPAL for 7 consecutive days to measure physical activity and sleep. Their screen time was reported by their parents using validated questions. Their body weight status was classified as underweight, normal weight or overweight/obese. A total of 2.9% of the preschoolers met all 3 movement guidelines. Children in compliance with the physical activity, screen time and sleep guidelines accounted for 14.5%, 67.4%, and 39.0% of the sample, respectively. There was no significant association between meeting the individual or combined guidelines and body mass index or the odds ratio for being of normal weight. Meeting more guidelines was not associated with body mass index or the odds ratio for being normal weight. Compliance with the 24-h movement guidelines was extremely low among preschool children in Hong Kong. Meeting the 24-h movement guidelines was not associated with a favourable weight status among preschoolers. Novelty: Compliance with the WHO 24-h movement guidelines was extremely low for the early years in Hong Kong. Further evidence is needed to understand the associations between meeting the guidelines and weight status among preschoolers.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".