Table 3: Logistic and linear regression models for the association Fasting blood glucose (FBG) or glycosylated haemoglobin (Hb1Ac). FBG and Hb1Ac were used to classify individuals as pre-DM or controls for the logistic regression models, and they were considered as continuous for the linear regression models. Odds ratio (OR), and estimates (β), 95% confidence interval (CI 95%), additive model (ADD), dominant model (DOM), recessive model (REC).
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FBG
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Hb1Ac
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| Model |
Allele |
OR (CI 95%) |
P |
β (CI 95%) |
P |
OR (CI 95%) |
P |
β (CI 95%) |
P |
| ADD |
T |
0.78 (0.56, 1.08) |
0.14 |
-1.592 (-3.19,0.01) |
0.05 |
0.76 (0.43, 1.33) |
0.3442 |
-0.05(-0.17,0.079) |
0.46 |
| DOM |
T |
0.77 (0.54, 1.08) |
0.14 |
-1.80 (-3.52,-0.09) |
0.03 |
0.78 (0.43, 1.42) |
0.4259 |
-0.05(-0.20,0.08) |
0.41 |
| REC |
T |
0.761 (0.17, 3.39) |
0.72 |
-0.46 (-7.69, 6.76) |
0.90 |
0.001 (0,2) |
0.9982 |
0.04(-0.52,0.60) |
0.88 |