The prevalence of non-alcoholic fatty liver disease and metabolic syndrome in obese children
Bibliographic record
Abstract
BACKGROUND AND AIM: In the context of present epidemic of childhood obesity, we aimed to find the prevalence of nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MS) in a cohort of obese children. METHODOLOGY: Retrospective chart analysis of 700 obese children was done for their anthropometric and biochemical investigations. RESULTS: Some 15.4% (9.8% girls, 22% boys) subjects had NAFLD (ALT > 40 IU/L) after excluding other identifiable causes of liver dysfunction. Age, weight, TG, fasting serum insulin and HOMA-IR levels were higher in children with NAFLD. Twenty-eight percent children had MS. Children with NAFLD had an odds ratio of 2.65 for having MS (boys 4.6, girls 1.7). The prevalence of MS increased with age 5-9 years (21%), 10-16 years (30%), 17-20 years (35%). CONCLUSION: Given high prevalence of NAFLD and MS in obese children, childhood obesity should be seriously considered as a disease and not just a cosmetic issue.
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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".