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.