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.