Statistical Analysis
Statistical significance was analyzed by using SPSS 20.0 version for
Windows (SPSS Inc., Chicago, IL, USA). The Kolmogorov-Smirnov test was
used to assess the conformity of the data according to the normal
distribution, and the homogeneity of variances assumption was evaluated
using the Levene test. The data collected from the subjects were
expressed as means ± standard deviations (SDs) except for the
proportional weight gain (median and 25-75 percentiles). The Chi-Square
test was applied in comparisons of the proportions of the groups. For
data with normal distribution, one-way ANOVA was used to compare the
means of the study groups, and pairwise comparisons were calculated
using the Tukey test. For data not normally distributed, the comparisons
of median values of the groups was analyzed using Kruskal-Wallis test in
and Mann Whitney U-test was performed to test the significance of
pairwise differences using Bonferroni correction adjusted for multiple
comparisons. A p-value < 0.05 was considered statistically
significant.