2.6. Statistical Analysis:
Data were analyzed using Statistical Program for Social Science (SPSS) version 22.0 for windows (SPSS Inc., Chicago, IL, USA). Quantitative data of normal distribution were expressed as mean ± standard deviation (SD). Qualitative data were expressed as frequency and percentage. Independent-samples t-test of significance was used when comparing between two means of normally distributed data. Pearson correlation was used to measure the association between two quantitative variables. Multivariable regression analysis is used to predict values of one variable based on two or more other variables. The purpose of the test is to determine whether there is statistical evidence that the mean difference between paired observations on a particular outcome is significantly different from zero. Probability (p-value): p-value< 0.05 was considered significant, p-value< 0.001 was considered as highly significant and p-value >0.05 was considered insignificant.