Statistical analysis:
Data were analysed using the Statistical Package of Social Science (SPSS) program for Windows (Standard version 24). The normality of data was first tested with one-sample Kolmogorov-Smirnov test.
Continuous variables were presented as mean ± SD (standard deviation) while qualitative data were described using number and percent. Pearson correlation was used to correlate continuous variables.
Significant variables in correlation entered into linear regression models using the enter statistical technique to predict the most significant determinants and to control for possible interactions and confounding effects.
Level of significance:
For all above mentioned statistical tests done, the threshold of significance is fixed at 5% level (p-value). The results were considered:
Non-significant when the probability of error is more than 5% (p > 0.05).
Significant when the probability of error is less than 5% (p ≤ 0.05).
The smaller the p-value obtained, the more significant are the results.