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.