Toddlers’ and preschoolers’ movement behaviours and mental health: protocol for the MOvement behaviours and irritaBILITY in early childhood (MOBILITY) prospective cohort study
Bibliographic record
Abstract
INTRODUCTION: Mental health conditions are a major public health challenge. Though typically diagnosed in adolescence, these conditions may arise during early childhood. Considerable evidence shows that engagement in healthy movement behaviours (ie, regular physical activity, reduced sedentary behaviour and sufficient sleep) is associated with a lower risk of mental health conditions in adolescents and adults. However, whether these behaviours have the same protective effect during early childhood is less clear. The MOvement behaviours and irritaBILITY in early childhood (MOBILITY) study was established to investigate the association between 24-hour movement behaviours and trajectories of early childhood mental health. METHODS AND ANALYSIS: MOBILITY is a prospective observational cohort study of toddlers' and preschoolers' (aged 2-4 years) movement behaviours and mental health, which will be assessed at three data collection points (baseline and 6- and 12-month follow-ups). Mental health indicators (ie, irritability, internalising, externalising and prosocial behaviour) will be assessed via parent-report questionnaires, and movement behaviours will be assessed via ActiGraph accelerometers and sleep diaries. Primary analyses will include using: (1) compositional data analysis to examine prospective relationships between overall movement behaviour compositions and trajectories of mental health indicators, (2) isotemporal substitution modelling to determine whether the prospective association between independent movement behaviours and trajectories of mental health indicators is contingent on other movement behaviours and (3) the 'Goldilocks' approach to determine optimal time use compositions to promote favourable trajectories in mental health symptomology. ETHICS AND DISSEMINATION: Ethical approval for this study was received from the Health Sciences Research Ethics Board at Western University, London, Ontario, Canada. The findings of this novel research will have implications for informing updates of evidence-based movement behaviour guidelines, as well as the development and implementation of preventive mental health interventions. Study findings will be disseminated via publications and conference presentations for academic audiences, infographics and short videos for community partners, early childhood educators and parents, as well as actionable recommendations for physicians and healthcare providers.
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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 | 0.032 | 0.021 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.010 |
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".