Cognitive‐behavioural physical activity treatment in <scp>A</scp>frican‐<scp>A</scp>merican pre‐schoolers: Effects of age, sex, and <scp>BMI</scp>
Bibliographic record
Abstract
AIM: Prevalence of overweight and obesity in children of 5 years and younger has greatly increased in countries including Australia, Canada, the UK and the USA, with African-Americans most affected in the USA. Low amounts of physical activity may be a primary cause. Interventions intended to increase physical activity during pre-school have had minimal effects. METHODS: A physical activity intervention derived from self-efficacy and social cognitive theory administered by pre-school teachers in the USA (Start For Life) was contrasted with typical care over 8 weeks. The 30-min-per-day treatment incorporated structured gross motor skill physical activities and training in self-management and self-regulation skills. The African-American children in the treatment (n = 154, 21 classrooms) and control (n = 121, 11 classrooms) groups ranged in age from 3.5 to 5.6 years. RESULTS: Mixed-model repeated measures analysis of variances indicated significantly (P ≤ 0.05) greater increases in moderate-to-vigorous physical activity (MVPA) and vigorous physical activity (VPA) in the treatment group when both the children and classrooms were the unit of analysis. Time in sedentary activities was not affected. Together, age, sex and body mass index (BMI) percentile significantly predicted treatment-related changes in MVPA (R(2) = 0.11) and VPA (R(2) = 0.11), with age (β = -0.22 and β = -0.23, respectively) and BMI percentile (β = -0.24 and β = -0.23, respectively) contributing uniquely to the explained variances indicating greater treatment effects for participants who were younger and had a lower BMI percentile. CONCLUSIONS: The Start For Life treatment was associated with increased MVPA by approximately 1 h per week, with most of that change being in VPA. After sufficient replication, adjustments may be made to maximise treatment effects.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".