Table 4.
Multiple logistic regression analyses predict an association of IAP deficiency with T2DM.
| Explanatory variables | Logistic coefficients per unit change | Odds ratio (95% CI) |
|---|---|---|
| Age (yr.) | 0.0226 | 1.023 (0.993–1.054) |
| Body mass index (BMI, kg/m2) | 0.0466 | 1.048 (0.986–1.114) |
| Creatinine (mg/dl) | − 0.0166 | 0.983 (0.847–1.142) |
| Total cholesterol (mg/dl) | 0.00183 | 1.002 (0.984–1.020) |
| HDL-cholesterol (mg/dl) | − 0.0599 | 0.942 (0.900–0.985) |
| LDL-cholesterol (mg/dl) | 0.0206 | 1.021 (1.001–1.041) |
| Triglycerides (mg/dl) | 0.00473 | 1.005 (0.998–1.011) |
| ALT (U/l) | 0.00944 | 1.009 (0.998–1.021) |
| Systolic blood pressure (mm Hg) | − 0.00012 | 1.000 (0.984–1.016) |
| Diastolic blood pressure (mm Hg) | − 0.0139 | 0.986 (0.958–1.015) |
| FPG (mmol/l) | 1.3563 | 3.882 (2.972–5.070) |
| IAP (U/g stool) | − 0.0145 | 0.986 (0.978–0.993) |
With each U/g decrease in stool IAP level there is a 1.4% increase in the odds of diabetes diagnosis. For example, if there is 25 U/g decrease in IAP level there will be a 35% increased risk of diabetes. Statistics: Proc Logist procedure (SAS) was used for multiple logistic regression analyses determining association between T2DM with independent risk factors including IAP.