Spss software v 22.0 for windows

Two-way mixed ANCOVA test were used to compare the study effects on FC, CRP, and cortisol levels, using time as the within-group factor (baseline versus follow-up at 6 months), and the group as the between-group factor (MBI versus SMT). The analysis was adjusted for pre-intervention (baseline) data. The effect sizes were estimated using the ηp² and were interpreted following Cohen’s guidelines for small, moderate, and large effect sizes (ηp² = 0.01, 0.06, or 0.14, respectively)^{36 (link)}. The statistical analyses were performed according to the intention-to-treat analysis using SPSS software (v.22.0) for Windows (SPSS Inc., Chicago, Ill, USA). The data are presented as the mean plus or minus the standard deviation (SD), considering the probability of statistical significance (p-values) at threshold values of 0.05 or less for all the comparisons.

All data were analyzed using the Statistical Package for Social Sciences (SPSS) software v22.0 for Windows (SPSS, Chicago, IL). Hormone concentrations (GLP-1 and PYY) were analyzed as absolute change in concentration from baseline using separate 3 × 3 repeated measures ANOVA (session × time). For significant main effects, a Bonferroni adjustment was used for multiple pairwise comparisons. With regard to the anorexigenic hormones, both absolute concentrations and relative changes from baseline resulted in similar statistical output; therefore subsequent presentation of data will focus on the change in hormone concentrations relative to baseline. For differences in perceptions of hunger, a 3 × 3 repeated measures ANOVA (session × time) was performed using the preexercise measure as baseline. This subjective data was also normalized to baseline values and analyzed as a change from baseline. A one-way repeated measures ANOVA was used to compare AUC values for both hormones. Effect sizes were calculated using Cohen's d to determine the magnitude of an effect independent of sample size. Small effect sizes are considered as d < 0.2, moderate effect sizes as d = 0.2–0.8, and large effects sizes as d > 0.8. Statistical significance was set at p < 0.05. All results are presented as mean ± standard deviation.

Continuous variables were reported as mean with standard deviation (SD) or median with interquartile range (IQR), whereas qualitative variables were expressed as frequencies and percentages. The relationship between qualitative variables was analyzed by contingency tables with Chi-square test. The Kruskal–Wallis test was performed to evaluate differences in fecal hemoglobin concentrations among groups of individuals with different colonoscopy findings. The Mann–Whitney U test was used to compare differences between two independent groups. The positive predictive value (PPV) at arbitrary fecal hemoglobin concentrations was calculated for advanced colorectal neoplasia. A logistic regression analysis was performed to determine the independent association of sex, age and FIT quartiles with the detection of AN; ORs (CI95%) were reported. For all tests, a two-sided p < 0.05 was considered statistically significant. The statistical analysis was performed using the SPSS software v 22.0 for Windows (SPSS Ibérica, Madrid, Spain).