Table 1.
Characteristics of the respondents (N = 494)
| Demographic and labor data | N (%) |
|---|---|
| Gender | |
| Male | 164 (33,3) |
| Female | 328 (66,7) |
| Age | |
| 18–29 | 109 (22,1) |
| 30–39 | 221 (44,8) |
| >40 | 163 (33,1) |
| Occupation | |
| Nurse | 371 (75,4) |
| Physician | 46 (9,3) |
| Paramedic staff | 75 (15,2) |
| Years of work | |
| Less than 5 | 88 (17,9) |
| 6–10 | 148 (30,1) |
| More than 10 | 256 (52) |
| Educational level | |
| Diploma | 8 (1,6) |
| Degree | 217 (44,1) |
| Master’s | 219 (44,5) |
| Ph.D. | 47 (9,6) |
| Currently working | |
| Yes | 424 (86) |
| No | 43 (8,7) |
| Υes, but from home | 22 (4,5) |
| Other | 4 (0,8) |
| Frontline worker* | |
| Yes | 305 (72,3) |
| No | 117 (27,7) |
| Because of COVID-19 how many hours do you work per week*, average value, (SD) | 42 (12,3) |
| Under normal circumstances, how many hours did you work*, average value, (SD) | 39 (7,3) |
*Concerns those who are currently working (not from home)