Pasw statistics 17 for windows

To retain the data of all randomly allocated participants, we performed an intention-to-treat analysis (all randomly assigned patients). The Shapiro-Wilk test was used to verify data distribution normality. Once it was confirmed that the sample data satisfied the normality assumption, statistical analyses relevant to our main research interests were conducted. T-tests for continuous variables and chi-squared tests for categorical variables were used to investigate any possible differences in baseline characteristics between the two conditions (HIT and MCT). We used a generalized linear model to analyze the influence of the different training protocols on biochemical and vascular function outcomes with repeated measures [2 (group) × 2 (test time)]. The area under the curve (AUC), expressed in arbitrary units (au) via the trapezoidal method, was calculated and used to analyze the response to the training protocols. The effect of training on AUC measures was analyzed by two-way analysis of variance. Significant differences in AUC from 0 to 240 min after the HFM following 12 weeks of HIT or MCT were analyzed using two-way analysis of variance. A criterion alpha level of P ≤ 0.05 was used to determine statistical significance. All data are reported as the mean ± standard deviation. Statistical analyses were conducted using PASW Statistics 17 for Windows (SPSS, Inc., Chicago, IL).