Cross-Sectional and Longitudinal Associations Between Parental Support and Children’s Physical Activity in the Early Years
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to examine cross-sectional and longitudinal associations between parental support and children's physical activity outside of child care, and whether children's age or sex moderated the associations. METHODS: Results are based on 93 children aged 19 to 60 months at baseline from 8 child care centers across Alberta, Canada. Parental support (ie, transportation, coactivity, watching, encouragement, and informing) and children's physical activity outside of child care were measured with a parental questionnaire at baseline (October/November 2013) and follow-up (May/June 2014). RESULTS: Every additional unit increase in parental support was significantly associated with 48.5 minutes/week [95% Confidence Interval (CI): 29.3-67.6] and 52.2 (95% CI: 32.0-72.3) minutes/week higher parental reported children's physical activity outside of child care at baseline and follow-up, respectively. A 1-unit increase in parental support from baseline to follow-up was significantly associated with a 24.8 (95% CI: 2.8-46.8) minutes/week increase in parental reported children's physical activity outside of child care. Children's age was a moderator at baseline only. CONCLUSIONS: Parental support was positively associated with children's physical activity across all analyses. Parental support may be an important correlate to target in future interventions aiming to promote physical activity in the early years.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".