Table 1.
Sociodemographic information.
| Positive news (N = 124) |
Negative news (N = 121) |
Total (N = 245) |
p-Value | |
|---|---|---|---|---|
| Gender⁎ | ||||
| Female | 105 (84.7%) | 87 (71.9%) | 192 (78.4%) | .023a |
| Male | 19 (15.3%) | 34 (28.1%) | 53 (21.6%) | |
| Age (years) | ||||
| Mean (SD) | 37.7 (9.13) | 38.6 (8.61) | 38.1 (8.87) | .427b |
| Median [Min, Max] | 37.5 [20, 78] | 38 [20, 73] | 38 [20, 78] | .378c |
| Age groups (years) | ||||
| 18-25 | 6 (4.8%) | 5 (4.1%) | 11 (4.5%) | 1.00a |
| 25-34 | 39 (31.5) | 35 (28.9%) | 74 (30.2%) | .771a |
| 35-44 | 53 (42.4%) | 57 (47.1%) | 110 (44.9%) | .577a |
| 45-54 | 22 (17.7%) | 19 (15.7%) | 41 (16.7%) | .798a |
| 55-64 | 3 (2.4%) | 3 (2.5%) | 6 (2.4%) | 1.00a |
| ≥65 | 1 (0.8%) | 2 (1.7%) | 3 (1.2%) | .983a |
| Education | ||||
| Higher secondary education | 30 (24.2%) | 22 (18.2%) | 52 (21.2%) | .320a |
| Undergraduate/bachelor | 37 (29.8%) | 28 (23.1%) | 65 (26.5%) | .297a |
| Graduate, MBA, MSc, PhD | 57 (46.0%) | 71 (58.7%) | 128 (52.2%) | .062a |
| Working at COVID-19 frontline | ||||
| No | 32 (25.8%) | 25 (20.7%) | 57 (23.3%) | .423a |
| Yes | 92 (74.2%) | 96 (79.3%) | 188 (76.7%) |
Note. The p-values refer to tests comparing the Positive and the Negative News groups; N = sample size; SD = standard deviation; Min = Minimum observed value; Max = maximum observed value.
a
Proportion test.
b
t-Test.
c
Wilcoxon rank sum test.
⁎
p < .05.