We used descriptive statistical analysis to characterize the samples of healthcare workers. Frequencies and proportions for each categorical variable were calculated and described, while only age variable was expressed as mean and standard deviation (SD). According to occupation (physician/nurse/technician), the prevalence of symptoms of anxiety, depression, insomnia, and the overall psychological problems was reported with their categories. For the four dependent variables that included anxiety, depression, insomnia, and overall psychological problem as defined above, we firstly applied the univariate analysis using logistic regression to identify factors associated with four outcomes. Then, the multivariate logistic regression was utilized to identify independent associated factors for the four above outcome variables, followed by stepwise backward selection strategies that used a log-likelihood ratio test at a p-value of 0.2 to obtain reduced models. Hence, a total of four reduced models were reported. Odds ratios with 95% confidence intervals were constructed. p < 0.05 was considered statistically significant. Stata 13.1 software (StataCorp LLC, USA) was used for statistical analyses.

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