Statistical analysis
REGRESSION
Categorical variables were described as frequencies and percentages, while numeric ones were presented as means, standard deviations, and medians. The reliability of the scales used was examined using Cronbach alpha coefficients. Chi-squared tests were applied in categorical variables’ analyses. Student t-test and paired t-test were used for comparisons of numeric variables (scores) between and within groups after checking for required assumptions. Multiple linear regression analyses were carried out to identify the independent predictors of the scores of reappraisal, suppression, GSE, and self-esteem. Statistical significance was considered at p < 0.05. Data entry and analyses were conducted using IBM SPSS Statistics for Windows, version 20 (IBM Corp., Armonk, N.Y., USA).