Spss statistics v 21.0 for windows

Firstly, we calculated the percentages for categorical variables and means with standard deviation for continuous variables. Then, we analysed the correlations between global PF index, perceived PF and situational motivation by bivariate correlation analysis. Likewise, we examined the possible differences in these variables between overweight (including obese) and non-overweight students using an independent sample T-test. Finally, we analysed the total, direct and indirect effects of weight status (X) on situational motivation (Y) mediated by global PF index (M₁) and perceived PF (M₂) using multiple mediation analysis. In all mediation analyses, we used bootstrapping with 10,000 samples via the PROCESS procedure for SPSS [34 ], adjusted by age, gender and school. All analyses were performed using IBM SPSS Statistics v.21.0 for Windows (IBM Software Group, Armonk, NY, USA) and the level of statistical significance was set at p = 0.05.

All comparison data among the smoke (S) and control (C) at the different times studied were performed using IBM SPSS® Statistics V21.0 for Windows software. The level of significance used was 5% (α = 0.05).
The descriptive analyses for the quantitative data that showed normal distribution are expressed as the mean and standard deviation. For quantitative data without a normal distribution, the results are expressed as the median and interquartile range IQ (25–75%). The assumptions of the normal distribution in each group and the homogeneity of the variances among groups were evaluated using the Shapiro-Wilk test and the Levene test, respectively.
For the quantitative data that showed a normal distribution in which two factors were analyzed, the double factor analysis of variance test (ANOVA) was used. We considered as a factor 1 the time exposure and as factor 2 the smoking. When it was necessary to perform multiple comparisons of means, the Bonferroni test was used. When the data did not present a normal distribution, we used the Mann-Whitney test for the group factor. For the time factor, the Kruskal-Wallis test was used, and when it was necessary to perform multiple comparisons, the Dunn test was used.

The Chi-square test was used to compare differences in infection rates of assemblages among children and adult and clinical symptoms. Differences were considered significant at the level of P < 0.05. The probability for the occurrence of asymptomatic infection or abdominal pain between assemblages A and B was measured by the odds ratio (OR) together with its 95% confidence intervals (95% CI). Statistical analysis was performed using SPSS Statistics v.21.0 for Windows (IBM Corp., Armonk, NY, USA).