Statistical analysis
All statistical analyses were conducted by using IBM SPSS statistical software, version 25.0. The normality of variables tested using the Kolmogorov–Smirnov criterion. Continuous variables with normal distribution were expressed as mean ± standard deviation (SD), whereas skewed distribution was expressed as median (interquartile range), and Categorical variables were represented by frequency and percentage. Because plasma TGs were skewed, log transformation was used. Tests of a trend for continuous and categorical variables across s of each AS markers (as a median value in each tertile) were conducted using the linear regression and χ2 analyses, respectively.
We used the Pearson correlation test to check the correlation between AS markers with anthropometry, lipid profile, and PA. Linear regression was used to determine the relationship between AS markers with anthropometry, lipid profile, and physical activity. The adjusted model was defined for controlling the confounders including age, sex, systolic and diastolic BP, heart rate (HR), fasting plasma glucose (FPG), blood urea nitrogen (BUN), Creatinine, alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), skeletal muscle mass, sleep duration, total energy, alcohol consumption, and smoking. The significance level for all tests was considered less than 0.05.