Anthropometric Measures of Visceral and Subcutaneous Fat Are Important in the Determination of Metabolic Dysregulation in Boys and Girls at Risk for Nonalcoholic Fatty Liver Disease
Bibliographic record
Abstract
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is increasing at alarming rates in obese children. The study aim was to describe body composition/somatotype and its interrelationships to biomarkers of liver disease, insulin resistance, and lipid and cytokine expression in youth with NAFLD. METHODS: Somatotype and body composition of children (7-18 years) diagnosed with NAFLD (n= 18) were compared with obese (n = 11) and lean children (n = 17). Anthropometric variables assessed included weight, height, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHTR), and multiple skinfold thicknesses. Fat mass (FM) and somatotype analysis were measured using validated methodologies. Fasting liver biochemistries (aspartate aminotransferase [AST], alanine aminotransferase [ALT], γ-glutamyltransferase [GGT]), insulin, glucose, leptin, C-reactive protein (CRP), tumor necrosis factor-α, interleukin (IL) factors 6/10, apolipoproteins B-100/B-48 and C-III, triglycerides, and high-density lipoprotein (HDL)/low-density lipoprotein (LDL) cholesterol were measured. Insulin resistance was assessed by the homeostasis model of insulin resistance (HOMA-IR). RESULTS: BMI z score, WC, FM, and somatotype did not differ between NAFLD and obese groups; however, lean children were lighter/leaner across all anthropometric measures (P < .001). Children with NAFLD had a higher sum-of-trunk to sum-of-extremity ratio (1.6 ± 0.4) than did obese (1.3 ± 0.2) and lean (1.1 ± 0.5) children (P < .001). Markers of central visceral (WC/WHTR) and subcutaneous fat (subscapular, abdominal, suprailiac skinfolds) were associated with elevated plasma concentrations of insulin, HOMA-IR, ALT, GGT, and AST and lower HDL cholesterol and IL-10 (P < .001). CONCLUSION: Comprehensive assessment of body composition, including measurement of surrogate markers of subcutaneous and visceral fat, provides information regarding metabolic dysregulation and liver disease risk in obese children with NAFLD.
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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 | 0.000 |
| 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".