2.6 | Statistical analyses
Continuous variables are presented as mean ± standard deviation or median (interquartile range), while categorical variables are presented as numbers (%). Baseline clinical characteristics were compared between groups using Student’s t-test for continuous variables and χ2 test for categorical variables. Incidence rates are presented as the number of events occurring per 1000 person-years. The Cox proportional hazards model was used to estimate adjusted hazard ratio with a 95% confidence interval (CI) for type 2 diabetes mellitus. The covariates were as follows: age, smoking status, alcohol consumption, and regular exercise in model 1; and age, smoking status, alcohol consumption, regular exercise, hypertension, dyslipidemia, and body mass index (BMI) in model 2. The cumulative incidence of type 2 diabetes mellitus according to the presence of UL and myomectomy was estimated using the Kaplan-Meier method. Subgroup analyses were performed according to age, BMI, smoking status, alcohol consumption, regular exercise, and having hypertension, dyslipidemia, and CKD. All data analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA). A P-value < 0.05 was considered significant.