STATISTICAL ANALYSIS
All analyzes of the study were performed using SPSS 20.0 package program. Nominal scale (categorical) variables were presented using frequency and percentage; proportional scale (numerical) variables with normal distribution using mean±SS and with non normal distribution using median (interquartile range) in tables and graphics. All the proportional scale variables were checked for whether they were normally distributed or not using Kolmogorov-Smirnov and Shapiro-Wilk analyzes. Age, bALP, Bone US BMD and Mg values were found to be normally distributed in the groups (p>0,05), and the remaining values were found to be non-normally distributed with a high skewness value. Therefore, Student t-test was used in independent two-group comparison for parameters of Age, bALP, Bone US BMD and Mg since they were parametric variables and Mann-Whitney U test was preferred for nonparametric variables. Monte Carlo corrected chi-square analysis was used to determine the significance of the association between categorical variables. Pearson correlation coefficient was used when both parameters were normally distributed to establish the correlation between the numerical variables. Spearman’s Rho correlation coefficient was used when any of the parameters was non normally distributed. Type-1 error level was accepted as 5 % in all the analyzes and p<0,05 was accepted as statistically significant.