Clinical Picture at Attendance and Response to Flexible Family-Based Low-Carb Life Style Change in Children With Obesity
Bibliographic record
Abstract
Aim: The study aims 1) to determine the clinical status of obese children at the admittance to the pediatric endocrinology referral center 2) to investigate the efficiency and compliance of the low-carb diet in a pediatric population with or without exercise, metformin Material and Methods: All subjects with the complaint of obesity and BMI percentile >95 were recruited from January 2012-August 2014. We evaluated basal retrospectively, recommended low carbohydrate family-wide eating practice and exercise to all, and metformin to selected cases, and recorded Self-reported adherence at first, third, sixth, and twelfth months. Results: Thirty-six subjects used metformin with a higher ratio of weight loss (90.0%, p=0.010) without a difference in the number of lost kilograms. In 160 cases without metformin; diet only, exercise only, and both diet and exercise groups lost weight significantly according to neither diet nor exercise group (OR:12.08, 95% CI 3.93-41.66, p<0.001; OR:3.04, 95% CI 1.18-7.84, p=0.022 and OR:32.80, 95% CI 7.14-150.77, p<0.001 respectively). Exercise plus diet (95.3%, p=0,002) and only diet (88.9%, p=0,023) were even more efficient than exercise alone (65.5%). In the twelfth month, 13.8% were on follow-up. Conclusion: Obesity gives rise to metabolic complications in the very early stages. A low carbohydrate diet proved to be acceptable and useful. Long-term consistency remains a challenge.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".