Spss v 15.0 for windows

Variables were checked for normal distribution by using the Shapiro-Wilks test. When necessary, the analysis was carried out on logarithmically transformed data. A three-way repeated-measures ANOVA test with time (two levels: 48 h and 15 days), treatment (two levels: placebo and polyphenol treatment) and polyphenols dose (two levels: low and high) as between-subjects factors was first applied. Pairwise comparisons were carried using the least significant post hoc test (LSD). The relationship between variables was determined using linear regression analysis. Values are reported as the mean ± standard error of the mean (unless otherwise stated). p ≤ 0.05 was considered significant. Statistical analysis was performed using SPSS v.15.0 for Windows (SPSS Inc., Chicago, IL, USA).

Power analysis of the study was performed using the G^∗Power software version 3.1.9.2 (University of Dusseldorf, Dusseldorf, Germany). A priori analysis with the Mann–Whitney U test indicated that a sample size of at least 26 patients in each group would provide a statistical power of 80% (β = 0.20 and α = 0.05) with the effect size d = 0.80.
Statistical analysis was performed using SPSS v.15.0 for Windows (Statistical Package for Social Sciences, SPSS, Inc., Chicago, IL). Categorical data were analyzed by means of χ² test. The Kolmogorov–Smirnov test was used to determine whether continuous variables followed a normal distribution. Normally distributed continuous variables were presented as mean ± SD and range, nonnormally distributed numerical data were presented as median and interquartile range (IQR: 25th–75th percentiles). Since the number of patients in each group was small, multiple group comparisons were performed using nonparametric Kruskal–Wallis test. Post hoc analyses were done using Mann–Whitney U test and the significance level (P-value) was corrected using Bonferroni correction. Linear correlation between the plasma levels of vWF, sE-selectin, HbA1c and the HRV and SSR parameters was tested using Spearman rho correlation test with the cut-off value > 0.600 for strong correlation. P-values <0.05 were considered as significant.

Data were analyzed using SPSS v.15.0 for Windows. Patients were grouped according to the presence of MS. Values are expressed as mean ± SD for continuous variables and median (range) for non-normal values. For parametrically distributed data comparisons between the groups were made using the t-test and ANOVA. For non-parametrically distributed data the Kruskal Wallis test or Mann–Whitney U test was used. The level of statistical significance was set at P < 0.05. Pearson correlation analysis was done to evaluate the relationship between variables.