The Kolmogorov-Smirnov test was used to check the normal distribution of all continuous variables. The values of normal distribution were expressed as mean±SD, and non-normal distribution data were presented as median (interquartile range). Baseline differences between groups were determined by one-way analysis of variance and chi-square analyses. Baseline and follow-up values within each group were compared using the paired t test. General linear models were used to adjust the differences in baseline values for dependent variables. And two-way ANOVA was used for determination of the improvements of lipids and inflammatory markers in three groups. The significance level was defined as P<0.05. All analyses were carried out using SPSS version 13.