Statistical methods
diabetes, Diabetes
REGRESSION, DIABETES, DIABETES
The data were analyzed using SPSS version 22.0. Descriptive statistics were used to present the baseline data, where categorical variables were displayed using frequencies with percentages and continuous variables as mean with standard deviation. Paired Sample T-test was applied to observe the mean change in study variables from baseline to follow-up (for parametric data). At the same time, the Wilcoxon Signed Ranks Test was used to assess the changes in Diabetes Quality of Life (DQoL-13) from baseline to follow-up (Non-parametric data). Multiple linear regression analysis was performed to evaluate the relationship of the DQoL-13 score (dependent variable) with independent confounders like age, gender, weight, duration of diabetes, AEs, HbA1c, and FPG. The effects of Sitagliptin on quality of life, HbA1c levels, and FPG were analyzed using a repeated-measures analysis of variance (ANOVA).