Prevalence of toddlers meeting 24-hour movement guidelines and associations with parental perceptions and practices
Bibliographic record
Abstract
OBJECTIVES: Whether toddlers (1-2 years) meet 24-hour Movement Guidelines and how parental practices and perceptions are related to compliance are uncertain. This study: a) estimated the proportion of toddlers meeting individual and combined movement guidelines; and b) examined associations between parental perceptions/practices and toddlers' compliance with movement guidelines. DESIGN: Cross-sectional study. METHODS: Australian parents self-reported their parenting practices/perceptions (routines, co-participation, restrictions, concerns, knowledge) and toddlers' movement behaviours in the baseline assessment of Let's Grow (n=1145), a randomised controlled trial. The World Health Organization's Guidelines on Physical Activity, Sedentary Behaviour, and Sleep for children under 5 years were used to estimate the prevalence of compliance with individual and combined movement guidelines. Logistic models assessed cross-sectional associations. RESULTS: The prevalence of meeting guidelines was 30.9% for screen time, 82.3% for sleep, 81.6% for physical activity, 20.1% for combined, and 2.1% meeting none. Parents' knowledge of the guidelines, fewer concerns and more favourable restrictions concerning movement behaviours were associated with greater compliance with individual and combined movement guidelines. Routines for screen time and for combined behaviours were associated with adherence to their respective guidelines. Less co-participation in screen time and more co-participation in physical activity were associated with greater compliance with the relevant guidelines. CONCLUSIONS: Given only 20% of toddlers met all guidelines, strategies early in life to establish healthy movement behaviours, especially screen time, are needed. Future studies could target the parental practices/perceptions identified in this study to support toddlers with optimal sleep and physical activity and reduced screen time.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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".