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. 2014 Jul 21;9(7):e102941. doi: 10.1371/journal.pone.0102941

Table 4. Binary logistic regression analysis of the relationship between 2hPG-FPG and CKD.

HbA1c (%) <7 HbA1c (%) ≥7
Models Independent variable Odds ratio (95% CI) P-value Odds ratio (95% CI) P-value
Model 1 2hPG-FPG, mg/dl
Group 1 (0–72) 1 (reference) 1 (reference)
Group 2 (72–108) 1.292 (0.509–3.279) 0.589 1.385 (0.611–3.138) 0.435
Group 3 (108–144) 0.762 (0.232–2.508) 0.655 2.339 (1.094–4.999) 0.028
Group 4 (≥144) 0.472 (0.058–3.852) 0.483 3.298 (1.577–6.895) 0.002
Model 2 2hPG-FPG, mg/dl
Group 1 (0–72) 1 (reference) 1 (reference)
Group 2 (72–108) 0.862 (0.266–2.788) 0.804 1.448 (0.589–3.558) 0.420
Group 3 (108–144) 0.364 (0.088–1.511) 0.164 2.397 (1.038–5.534) 0.041
Group 4 (≥144) 0.200 (0.017–2.325) 0.198 3.662 (1.575–8.514) 0.003
Model 3 2hPG-FPG, mg/dl
Group 1 (0–72) 1 (reference) 1 (reference)
Group 2 (72–108) 0.812 (0.233–2.832) 0.743 1.220 (0.477–3.120) 0.678
Group 3 (108–144) 0.330 (0.068–1.606) 0.170 2.076 (0.874–4.929) 0.098
Group 4 (≥144) 0.240 (0.020–2.878) 0.260 2.640 (1.083–6.436) 0.033
HbA1c, per % unit 0.717 (0.232–2.222) 0.565 1.295 (1.096–1.529) 0.002

Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Model 3: Model 2 plus Log (fasting insulin), cholesterol, Log (triglyceride), drinking and smoking.