Impact of a combined diet and progressive exercise intervention for overweight and obese children: the B.E. H.I.P. study
Bibliographic record
Abstract
The Biochemical Evaluation of a Health Intervention Programme (B.E. H.I.P.) investigated the impact of progressive exercise intensity in overweight and obese children. A 5-month prospective randomized crossover design (X(A), immediate intervention; O(B), control group; X(B), delayed intervention, O(A), postintervention follow-up) with a 10-week health intervention programme was employed. The intervention utilized a progressive increase in high-intensity exercise (≥ 75% maximum heart rate) and included 3 nutrition and 2 parent education sessions. Primary analysis was completed with (i) X(A) versus O(B) and (ii) all intervention participants (collapsed X(A) and X(B) = X(A)X(B)). Prepubertal overweight and obese male and female children (n = 27) between 5 and 10 years of age were randomly allocated to X(A) (n = 16; 11 females; waist circumference = 80.0 ± 10.6 cm) or O(B) (n = 11; 3 females; waist circumference = 76.6 ± 7.5 cm). The primary variables were heart rate and percent fat mass. All variables, including body composition, habitual activity, and serum lipids, were repeatedly measured for up to a maximum of 7 time points. Energy expenditure was quantitatively measured throughout each exercise class (n = 20). A significantly longer time in the exercise sessions was spent in high-intensity (35.1%-60.0%) versus low- to moderate-intensity (64.9%-40.0%) exercise as the intervention progressed from the first to the last attended exercise class (Fisher exact test, p < 0.0001). The percent fat mass decreased in all intervention participants (-2.2%, p < 0.0001). X(A) had a greater slope decrease than O(B) for percent fat mass (p = 0.00051) and triglycerides (p = 0.0467). In conclusion, high-intensity exercise, within a comprehensive health programme that includes nutrition education, improved the lipid and physiological health profiles of obese children.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".