*2.4. Statistical Procedures*

Data are presented as mean ± SD. One-way analysis of variance (ANOVA) was used to analyze differences at baseline among the four intervention groups. Four-way repeated measures ANOVA were used to determine differences among the four intervention groups or among the three daily steps' categories, BMI categories and gender by time. Bonferroni post-hoc tests were employed to locate specific differences. Partial eta-squared (η<sup>2</sup> *<sup>P</sup>*) was adopted for interactions and small, moderate and large effect corresponded to values equal or greater than 0.001, 0.059, and 0.138, respectively [19]. Effect sizes (ES) were calculated by Cohen's *d* and interpretation based on <0.2 = trivial, ≥0.2<0.5 = small effect, ≥0.5<0.8 = moderate effect, and ≥0.8 = large effect. Pearson's correlations separated by intervention groups were used to test associations between eating behavior, physical activity and motivations changes. All analyses were conducted in SPSS-PC v20 (IBM SPSS Statistics, Armonk, NY USA), and level of significance was set at 0.05.
