Elevated C‐reactive protein in Native Canadian children: an ominous early complication of childhood obesity
Bibliographic record
Abstract
AIM: Subclinical inflammation has been proposed as a pathophysiologic mechanism linking obesity with vascular and metabolic disease. Native North American populations are experiencing high prevalence rates of both (i) childhood obesity and (ii) adult cardiovascular disease (CVD) and type 2 diabetes. Thus, we sought to determine whether subclinical inflammation is an early complication of obesity in Native children. METHODS: Serum concentrations of the inflammatory biomarker C-reactive protein (CRP) were assessed in a population-based, cross-sectional study of the Sandy Lake Oji-Cree community of Northern Ontario, Canada, involving 228 children aged 10-19 years (mean age 14.8). RESULTS: Median CRP in this population was 0.5 mg/l (interquartile range 0.18-1.79 mg/l). CRP levels were higher than age-matched reference data from the Third National Health and Nutrition Examination Survey (NHANES III). Importantly, fully 15.8% of the children of this community had CRP concentrations between 3 and 10 mg/l, a range that identifies adults at high risk of CVD. Moreover, increasing CRP concentration in this paediatric population was associated with an enhanced CV risk profile, consisting of increased adiposity, higher insulin resistance, worsening lipid profile (higher total cholesterol, triglycerides, low-density lipoprotein cholesterol, apolipoprotein B and total cholesterol : high-density-lipoprotein cholesterol ratio), increased leptin and decreased adiponectin. On multivariate analysis, waist circumference and interleukin-6 (IL-6) emerged as independent determinants of CRP concentration. CONCLUSION: Subclinical inflammation is an early complication of childhood obesity in Native children and may foreshadow an increased burden of CVD and type 2 diabetes in the future.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".