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. 2020 Nov 15;11(11):489–500. doi: 10.4239/wjd.v11.i11.489

Table 3.

Binary logistic regression analysis with presence or absence of sudomotor dysfunction as dependent variable

OR 95%CI P value
Model 1
TIR -0.021 0.979 0.971-0.987 < 0.001
Age 0.023 1.024 1.003-1.045 0.027
Smoking 0.632 1.881 1.115-3.174 0.018
Model 2
TIR -0.024 0.976 0.967-0.986 < 0.001
Age 0.024 1.024 1.003-1.045 0.027
Smoking 0.632 1.881 1.113-3.177 0.018
Model 3
TIR -0.025 0.975 0.957-0.994 0.010
Age 0.031 1.031 1.008-1.055 0.008
Smoking 0.717 2.047 1.146-3.659 0.016
M value 0.093 1.097 1.040-1.158 0.001

Model 1 was adjusted for age, diabetes duration, sex, body mass index, systolic blood pressure, diastolic blood pressure, smoking, triglyceride, and total cholesterol. Model 2 was adjusted for variables as in model 1 and for HbA1c. Model 3 was adjusted for variables as in model 2 and for glycemic variability values like standard deviation, mean amplitude of glucose excursions, means of daily differences, average daily risk range, and M value. TIR: Time in range; CI: Confidence interval.