Increased oral inflammation, leukocytes, and leptin, and lower adiponectin in overweight or obesity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objectives The association between body mass index ( BMI ) and oral diseases was investigated, and levels of obesity‐related inflammatory mediators were evaluated. Subjects and Methods Participants ( n = 160) were clinically and radiographically examined for oral diseases. Blood profiles were recorded. Levels of adiponectin, leptin, and C‐reactive protein ( CRP ) were measured. Results One hundred and thirteen (70.6%) participants had overweight or obese status ( BMI ≥ 23.0 kg/m 2 ). Sum of dental diseases and severe periodontitis were higher in overweight or obese individuals than in normal‐weight participants ( p = .037 and p = .002, respectively). A significant difference in oral mucosal disorders between normal weight and overweight or obesity was not found. Plasma leukocyte counts, liver enzymes, leptin, and CRP levels were increased while adiponectin levels were decreased in individuals with BMI ≥23.0 kg/m 2 compared with normal‐weight participants. After adjusting for age, sex, fasting plasma glucose level, smoking, and exercise, obesity was associated with sum of dental diseases (ß = 0.239, p = .013), severe periodontitis ( OR =4.52; 95% CI 1.37, 14.95, p = .013), adiponectin (ß = –0.359, p < .001), leptin (ß = 0.630, p < .001), and CRP levels ( OR =12.66; 95% CI 3.07, 52.21, p < .001). Conclusion Overweight or obese Thai people were related to an increase in inflammatory dental and periodontal diseases with an altered health profile and plasma inflammatory mediators.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it