INFLUENCE OF PARENTAL PHYSICAL ACTIVITY BEHAVIOURS ON THE ACTIVITY LEVELS OF PRESCHOOL-AGED CHILDREN WITH AND WITHOUT RISK FOR OBESITY
Bibliographic record
Abstract
Objective Physical activity is an important preventive factor for obesity and Type-2 diabetes. The aim of this study is to examine parental physical activity behaviors and perceptions as predictors of physical activity (PA) among preschool-aged children. Method 49 parent-child dyads have been recruited from daycares in a Canadian community. Height and weight for children (26 male, 23 female, mean age = 50.8 ms±12.34) were taken. Parents completed questionnaires regarding sociodemographic characteristics, parental support, enjoyment, and importance of PA, and PA levels of parents and children. Results 17 (35%) of the children in this sample were identified as being at risk for overweight (BMI above 85th percentile of growth distribution). Overall, only 60% of the children participated in more than 60 minutes of PA per day, regardless of weight status. Regression analyses demonstrated that parents’ report of having an income less than 45000 (B = 0.73, p Conclusion Results of this ongoing study suggest that interventions are needed for increasing physical activity among all children, not only the ones at risk for overweight. This could be done by promoting physical activity at home, given that most of the physical activity opportunities are provided by the daycares.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".