Statistical Analysis:
Data was recorded on a predesigned proforma and managed on an excel spreadsheet. All the entries were checked for any possible keyboard errors. Categorical variables were summarized as frequency (percentage). Quantitative variables were assessed for approximate normality and summarized as mean ± SD. In this study we defined four outcomes: depression, anxiety, both depression and anxiety and depression and/or anxiety. Chi square test was used to compare frequencies across various socio-demographic characteristics for each of the four outcomes separately. Independent sample t-test was used to compare mean values across categories. Odds ratio (95% CI) was computed to determine the strength of association between each of the socio-demographic characteristics and the four outcomes using binary logistic regression. To determine the independent role of each factor with each of the four outcomes i.e. depression, anxiety, depression and/or anxiety, and depression and anxiety, stepwise multivariable logistic regression analysis was used to compute adjusted odds ratio (95% CI). Statistical software Stata 14.2 was used for data analysis. In this study, p-value <0.05 has been considered as statistically significant.