Comparative dietary effectiveness of a modified government-recommended diet with avoidance of ultra-processed foods on weight and metabolic management in children and adolescents: An open-label, randomized study.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Childhood obesity is rapidly rising in China and effective diet interventions are needed. Here, we determine whether the Chinese government-recommended diet (GRD) or a modified diet of further restriction of sugar and ultra-processed food but without energy restriction, minimally processed diet (MPD) is effective on weight loss in children and adolescents with obesity/overweight. METHODS AND STUDY DESIGN: This open-label, randomized study included 60 children and adolescents between 5-18 years old with overweight/obesity. Participants were randomized 1:1 to the GRD or MPD and self-managed at home for 12 weeks. Both groups received general recommendations in physical activities. The changes were evaluated in body weight, fasting glucose and insulin, lipid metabolism and serum uric acid between baseline and week 12. RESULTS: The results indicated great reductions by time for BMI, BMI z-score, fat mass percentage and fat mass index in both groups. An obvious decrease by time for weight was found in the MPD group (p<0.001) as well as fasting glucose (p=0.005), fasting insulin (p=0.001), total cholesterol (p=0.007) and serum uric acid (p=0.006). As for the amount of visceral fat, greater reduction by time was observed in MPD group compared with GRD group. CONCLUSIONS: A 12-week self-intervention combining the Chinese government-recommended diet with physical activities was effective on weight loss in children and adolescents with overweight/obesity. The minimally processed diet was more effective on decreasing visceral fat mass and may be beneficial to improving insulin resistance. Further studies are required to assess long-term outcomes of the general public.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".