Statistical analysis
REGRESSION
We used SPSS (statistical package for social sciences) version 24 for analyzing the data. Numerical data was described in terms of mean and standard deviations if normally distributed and median and interquartile ranges if non normally distributed. Qualitative data was described in terms of frequencies and percentages. Chi square test was used to test the association between categorical variables (Chi- square yields an unadjusted odds ratio with 95% confidence interval). Fisher exact test was used in case of violation of the assumptions. Independent sample t test was used to test the difference between two groups concerning normally distributed numerical variables (t statistics were used to calculate confidence interval). To test the effect of independent variables on dependent variables, binary logistic regression was performed (Odds ratio was calculated for data of categorical type and exponential beta for data of continuous type). P-value less than 0.05 was considered statistically significant.