Mid-Thigh Subcutaneous Adipose Tissue and Glucose Tolerance in the Quebec Family Study
Bibliographic record
Abstract
OBJECTIVE: To clarify the relationship between the amount of mid-thigh subcutaneous adipose tissue (SCAT) and glucose tolerance in men and women. METHODS: Midthigh and abdominal computed tomography (CT) scans were obtained from 63 men and 110 women from the Quebec Family Study. Areas and attenuations of adipose tissue compartments and skeletal muscle measured from CT scans were related to glycemia and insulinemia values from an oral glucose tolerance test (OGTT). RESULTS: Adjusted for age and fat mass or age and percent fat, negative relationships (all p < 0.05) between the surface area of mid-thigh SCAT and OGTT data (glucose and insulin area under the curve, glycemia and insulin at 120 min) were seen in men (r range -0.22 to -0.37) and women (r range -0.20 to -0.30). Similar but weaker tendencies were observed when correcting for visceral adiposity. Correlations of OGTT variables with ratios of midthigh SCAT to abdominal visceral adipose tissue and to fat mass revealed significant negative relationships in both genders. Tertile analyses showed better glucose handling in subjects with a higher content of mid-thigh SCAT. CONCLUSION: These data suggest that the preferential deposition of adipose tissue as mid-thigh SCAT is a strategy to prevent glucose intolerance.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".