Metabolic syndrome and gingival inflammation in Caucasian children with a family history of obesity
Bibliographic record
Abstract
AIM: To investigate whether metabolic syndrome (MetS) and its components are associated with gingival inflammation in children. MATERIALS AND METHODS: This is a cross-sectional analysis from the baseline visit of the QUebec Adipose and Lifestyle InvesTigation in Youth cohort, an ongoing longitudinal study investigating the natural history of obesity in children of Quebec, Canada. The analytic sample includes 448 children aged 8-10 years, 39% of whom were overweight or obese. MetS was defined according to the International Diabetes Federation recommendations. Gingival inflammation was defined by the level of gingival crevicular fluid (GCF) tumour necrosis factor alpha (TNF-α) and the extent of gingival bleeding. Sex-specific linear regression analyses estimated the associations between MetS and gingival inflammation, adjusting for potential confounders. RESULTS: Twenty-five children had MetS. Boys with MetS compared to those without, had a 49.5% (p-value = 0.001) higher GCF TNF-α level and 13.7% (p-value = 0.033) more sites with gingival bleeding. Moreover, for three of the five components of MetS - waist circumference, fasting plasma triglycerides, systolic blood pressure - an increase was associated with increased GCF TNF-α level in boys. No such findings were seen in girls. CONCLUSION: An association between MetS and gingival inflammation was observed as early as in childhood, and may differ by sex.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".