Associations of total, bioavailable, and free 25(OH)D concentrations with insulin resistance and beta cell function in an Aboriginal Canadian community (628.5)
Bibliographic record
Abstract
This study explores the associations of total, bioavailable, and free 25(OH)D concentrations with dysglycemia, insulin resistance (IR) and β‐cell function in an Aboriginal population in Ontario, Canada. We conducted a cross‐sectional analysis within the Sandy Lake Health and Diabetes Project (2003‐2005). A total of 387 participants (> 12 y) without treated type 2 diabetes mellitus (DM) were assessed for serum total 25(OH)D, fasting plasma glucose and insulin, and anthropometric and lifestyle variables. A 75‐g oral glucose tolerance test (OGTT) was administered, with additional blood samples collected at 30‐min and 2‐hr. Higher serum total 25(OH)D was associated with a decreased prevalence of dysglycemia (odds ratio (OR) 0.68, 95% CI 0.48‐0.96 per SD increase). In addition, there were significant associations of total and bioavailable 25(OH)D with measures of insulin action (total 25(OH)D: ISOGTT; β= 0.305; p= 0.001; HOMA IR; β= ‐0.322; p= 0.001; bioavailable 25(OH)D: ISOGTT; β= 0.183; p= 0.041; HOMA‐IR; β= ‐0.202; p= 0.037) and a significant inverse association of total 25(OH)D with β‐cell function as measured by ISSI‐2 (β= 0.152; p= 0.021) after adjustment for demographic and metabolic variables. These findings highlight a potential role for vitamin D in the etiology of type 2 DM in this population.
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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 | 0.002 | 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".