Kindergarten Self‐Regulation As a Predictor of Body Mass Index and Sports Participation in Fourth Grade Students
Bibliographic record
Abstract
Identifying early precursors of body mass index (BMI) and sports participation represents an important concern from a public health perspective and can inform the development of preventive interventions. This article examines whether kindergarten child self‐regulation, as measured by classroom engagement and behavioral regulation, predicts healthy dispositions in fourth grade. To address this objective, secondary analyses were conducted using prospective‐longitudinal data from 966 children followed by the Quebec Longitudinal Study of Child Development. Self‐regulatory skills, including classroom engagement and behavioral regulation, were measured by kindergarten teachers. Greater self‐regulatory skills predicted lower BMI and greater parent‐reported child sports participation, after controlling for a number of potentially confounding child and family characteristics. This article suggests that assessing kindergarten self‐regulatory capacities may help identify children at risk of developing unhealthy dispositions and behaviors in middle childhood.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".