Anthropometric measures associated with fat mass estimation in children and adolescents with HIV
Bibliographic record
Abstract
To verify the association between anthropometric indicators and body fat percentage estimated by dual X-ray absorptiometry (DXA) and air displacement plethysmography (ADP) in children and adolescents diagnosed with human immunodeficiency virus (HIV). This cross-sectional study was carried out with 62 children and adolescents with HIV (aged 8 to 15 years). Body fat percentage was estimated by DXA and ADP. Anthropometric indicators were skinfolds (abdominal, triceps, subscapular, calf), perimeter relaxed arm (PRA), waist circumference (WC), perimeter neck, body mass index (BMI), waist-to-height ratio, conicity index, and body adiposity index. Linear regressions were performed with 5% significance level. In boys (adjusted R2 (R2adj) = 0.38 to R2adj = 0.67) and girls (R2adj = 0.41 to R2adj = 0.57), all anthropometric indicators were associated with body fat percentage estimated by DXA. For boys, skinfolds were associated with body fat percentage estimated by ADP (R2adj = 0.18 to R2adj = 0.35). In girls, skinfolds (R2adj = 0.27 to R2adj = 0.44, BMI (R2adj = 0.31), PRA (R2adj = 0.36), and WC (R2adj = 0.26) were associated to body fat percentage by ADP. Abdominal skinfold was the indicator that most explained the variation in body fat percentage measured by DXA and ADP in both sexes. Anthropometric indicators are strongly associated with body fat, measured by reference methods, and can assist health professionals in monitoring the health of children and adolescents with HIV.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".