The Abnormal Measures of Iron Homeostasis in Pediatric Obesity Are Associated with the Inflammation of Obesity
Bibliographic record
Abstract
Objectives. To determine if the low iron state described in obese children is associated with the chronic inflammatory state seen in obesity. Study Design. Obese children age from 2 to 19 years seen at a weight management clinic were studied prospectively. Data were collected on age, gender, BMI, BMI z-score, serum iron, ferritin, transferrin saturation, free erythrocyte protoporphyrin, high sensitivity creactive protein (hs-crp), and hemoglobin concentration. Results. 107 subjects were studied. Hs-crp levels correlated positively with BMI (P < .001) and BMI z-score (P = .005) and negatively with serum iron (P = .002). 11.2% of subjects had low serum iron. Median serum iron was significantly lower for subjects with American Heart Association high risk hs-crp values (>3 mg/L) compared to those with low risk hs-crp (<1 mg/L), (65 mcg/dL versus 96 mcg/dL, P = .016). After adjusting for age, gender, and BMI z-score, serum iron was still negatively associated with hs-crp (P = .048). Conclusions. We conclude that the chronic inflammation of obesity results in the low iron state previously reported in obese children, similar to what is seen in other inflammatory diseases.
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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 | 0.000 |
| 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) | 0.001 | 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".