Factors Associated With Low Bone Mineral Density in Adults With Type 1 Diabetes: A Cross-Sectional Study
Bibliographic record
Abstract
Abstract Context: Individuals with type 1 diabetes (T1D) have a two- to threefold increase in fracture risk at any site, and up to a sevenfold increase in hip fracture risk compared to those without diabetes. The mechanisms accounting for this bone fragility are not yet fully understood. Objectives: 1) To determine factors associated with low bone mineral density (BMD) in patients with T1D; 2) To assess the association between skin advanced glycation end products (AGEs) and low BMD in patients with T1D. Methods: These are preliminary data from patients with T1D included in a cross-sectional study aiming at comparing the prevalence of vertebral fractures between adult patients with T1D from two tertiary care centers and age- and sex-matched controls without diabetes. Patients were eligible if they were aged ≥20 years and had a diagnosis of T1D for at least 5 years. Patients were classified as having a low BMD if Z-score was ≤-2.0 at any site (lumbar spine, femoral neck, total hip, radius) in patients aged <50 years or if T-score was ≤-1.0 at any site in patients aged ≥50 years or in postmenopausal women. Skin AGEs (surrogate marker of overall including bone AGEs) were measured by skin autofluorescence (AGE Reader ®). Unpaired t-tests or Chi-squared tests were used to compare characteristics between patients with or without a low BMD. Variables associated with a low BMD were determined by univariate analysis and were subsequently included in a multivariate logistic regression analysis if p<0.1 in the univariate analysis. All variables were tested for multicollinearity. Results: 106 patients with T1D were included (mean age 45.2±15.0 years; mean BMI 26.3±5.1 kg/m2; 54.7% women; mean duration of diabetes 28.2±13.6 years; 44.3% with a microvascular complication). Mean HbA1C over the past 3 years was 7.5±0.8%. A third of the patients (31.1%) had a low BMD (3 patients using Z-score; 30 patients using T-score). Patients with a low BMD were older (58.3 vs 39.3 years, p<0.001), had a lower mean HbA1C over the past 3 years (7.3% vs 7.6%, p=0.047), a longer diabetes duration (36.1 vs 24.6 years, p<0.001), higher skin AGEs (2.50 vs 2.03, p<0.001), a higher prevalence of microvascular complications (63.6% vs 37.7%, p=0.02) and a higher prevalence of abnormal albumin to creatinine ratio (ACR ≥2.0) on the day of assessment (38.7% vs 11.8%, p=0.003). In multivariate regression analysis, age (p<0.001), abnormal ACR (p=0.003) and lower mean HbA1C over the past 3 years (p=0.02) remained significantly associated with a low BMD. Skin AGEs were correlated with age (r=0.56) and diabetes duration (r=0.47). Conclusion: In this population with T1D, a low BMD was independently associated with older age, abnormal ACR and, unexpectedly, with a lower mean HbA1C over the past 3 years, but not with skin AGEs.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".