Moderators of movement behaviour changes among Canadian toddlers and preschoolers throughout the first 2 years of the COVID-19 pandemic
Bibliographic record
Abstract
Primary objectives were to examine: (1) changes in movement behaviours (i.e., outdoor play (OP), organized physical activity (PA), screen time (ST), sleep) across the first 2 years of coronavirus disease-2019 (COVID-19) among Canadian toddlers and preschoolers, and (2) intrapersonal, interpersonal, community, and policy moderators of change in movement behaviors. Participants were 341 Canadian parents of children (start of study: 1-4 years; 48% female). Participants completed online questionnaires regarding their children's movement behaviours and intrapersonal, interpersonal, and community factors at five time-points before and throughout the pandemic (T1-T5). Data from government websites were also used for some community and policy factors. Linear mixed models were conducted. Compared to pre-COVID-19 (T1): OP was on average 30 min/day higher at T2 and T3; organized PA was on average 62, 44, and 37 min/day lower at T2, T3, and T4, respectively; ST was on average 67, 17, 38, and 52 min/day higher at T2, T3, T4, and T5, respectively; and sleep was on average 30, 36, and 82 min/day lower at T3, T4, and T5, respectively. Significant moderating variables were observed for OP (parental education, parental work inside home, COVID-19 restriction severity), organized PA (children's sex, started kindergarten, nonparental care, parental education, household income, parental employment status, house type, indoor home space and support for PA), ST (nonparental care, parental marital status) and sleep (children's T1 age group, started kindergarten, parental place of birth, parental employment status). All movement behaviors changed across the first 2 years of COVID-19 but patterns and moderators were behaviour-specific. Children from lower socioeconomic status families had the least optimal patterns.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".