Associations Between Serum 25-Hydroxyvitamin D, Insulin Sensitivity, Insulin Secretion, and β-Cell Function According to Glucose Tolerance Status
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to determine whether glucose tolerance status influences the associations between serum 25-hydroxyvitamin D [25(OH)D], insulin sensitivity, insulin secretion, and β-cell function. METHODS: This cross-sectional study included 112 French Canadian postmenopausal women with normal glucose tolerance (NGT; n = 65) or abnormal glucose tolerance (AGT; n = 47). Estimates of insulin sensitivity [homeostasis model assessment of insulin sensitivity (HOMA %S) and glucose disposal rate (GDR)], insulin secretion [area under the curve of C-peptide (AUC C-peptide)], and β-cell function (GDR × AUC C-peptide) were derived from a 2-hr euglycemic-hyperinsulinemic clamp and a 75-gram 3-hr oral glucose tolerance test (OGTT). Measures of adiposity were taken (waist circumference, body mass index, fat mass by the hydrostatic weighting technique, and computed tomography (CT)-derived total and visceral adiposity), questionnaires on physical activity, dietary calcium, and vitamin D intake were administered, and blood was sampled for measurement of parathyroid hormone, interleukin-6, and adiponectin. RESULTS: AGT status was significantly associated with lower insulin sensitivity and β-cell function (P ≤ 0.01 for all) but not with insulin secretion. Lower serum 25(OH)D concentrations were significantly associated with lower insulin sensitivity and secretion (P ≤ 0.01 for all) but not with β-cell function. The interaction between glucose tolerance status and serum 25(OH)D concentration was not significant for either insulin sensitivity, insulin secretion, or β-cell function, even after adjustment for potential confounders. CONCLUSION: Vitamin D and glucose tolerance status are both independently associated with measures of insulin sensitivity, insulin secretion, and β-cell function. However, the association between serum 25(OH)D and these surrogate markers of type 2 diabetes mellitus risk is not influenced by glucose tolerance status.
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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 | 0.000 | 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) | 0.001 | 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".