Adiposity and gingival crevicular fluid tumour necrosis factor‐<i>α</i> levels in children
Bibliographic record
Abstract
AIM: To investigate whether adiposity is associated with gingival crevicular fluid (GCF) tumour necrosis factor-alpha (TNF-alpha) levels in children. We also examined whether this relationship is mediated through plasma fasting insulin. MATERIALS AND METHODS: This preliminary study used cross-sectional data from the baseline-visit of the Quebec Adipose and Lifestyle InvesTigation in Youth cohort, which is an ongoing longitudinal study investigating the natural history of obesity in Quebec children. Study participants (76 girls and 102 boys) include children aged 8-10 years and their families, living in the Montreal and Quebec City areas. TNF-alpha level was measured in pooled samples (N=4) for each child by enzyme-linked immunosorbant assay. Height and weight were measured. Body mass index (BMI) was calculated as weight/height(2) (kg/m(2)). Sex/age-specific BMI was categorized into normal (<85th percentile), overweight (85th-95th percentile) and obese (>or=95th percentile) defined by the 2000 US-CDC growth charts. Insulin resistance was measured using fasting plasma insulin in children. Data analysis involved descriptive and multiple linear regression analyses. RESULTS: Our results suggest that obesity in boys was associated with a 37% increase of GCF-TNF-alpha level. However, when accounting for insulin resistance this association was reduced and disappeared while the model's goodness of fit improved. CONCLUSIONS: These findings provide support for the link between adiposity in children and GCF-TNF-alpha level, which appears to be mediated by insulin resistance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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 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".