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.