2.9. Statistical Analysis
weight gain
GESTATIONAL DIABETES
Statistical analyses were performed using SPSS 25.0 (Released 2017. IBM statistics for Windows, Version 25.0. Armonk, NY, USA: IBM Corp). Results are presented as mean ± SD or as median and interquartile range (IQR, 25th and 75th percentile). For group comparisons of normally distributed continuous data, one way-ANOVA, with post hoc Bonferroni test was used. Separate one-way ANOVA for the three FF groups were also performed. In tables and figures, significant differences between groups are marked with a superscript. Growth parameters, as well as serum IGF-1, insulin, C-peptide, leptin and leptin receptor were also compared with analysis of covariance (one-way ANCOVA with post hoc Bonferroni test) adjusted for maternal weight gain, smoking during pregnancy, gestational diabetes, and maternal and paternal BMI. For group comparison of variables with skewed distribution, Kruskal–Wallis test with post hoc Bonferroni was used. Chi-square test or Fisher´s exact test were used for categorical data. Significance level was set at 