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.