Table 2.
Professional characteristics of the population.
| Variable | Year | Total (N = 92) | p | ||
|---|---|---|---|---|---|
| 2020 (N = 40) | 2021 (N = 27) | 2023 (N = 25) | |||
| Profession | 0.180 | ||||
| Nursing technician | 4 (10) | 4 (14.8) | 6 (24) | 14 (15.2) | |
| Nurse | 8 (20) | 7 (25.9) | 1 (4) | 16 (17.4) | |
| Physiotherapist | 7 (17.5) | 4 (14.8) | 7 (28) | 18 (19.6) | |
| Nutritionist | 2 (5) | 0 (0) | 0 (0) | 2 (2.2) | |
| Doctor | 19 (47.5) | 12 (44.4) | 11 (44) | 42 (45.7) | |
| Years of professional experience | 0.875 | ||||
| 0–5 | 14 (35) | 6 (22.2) | 8 (32) | 28 (30.4) | |
| 5–10 | 11 (27.5) | 8 (29.6) | 4 (16) | 23 (25) | |
| 10–15 | 8 (20) | 7 (25.9) | 7 (28) | 22 (23.9) | |
| 15–20 | 3 (7.5) | 3 (11.1) | 4 (16) | 10 (10.9) | |
| 20 + | 4 (10) | 3 (11.1) | 2 (8) | 9 (9.8) | |
| Financial instability caused by the pandemic? | 0.040* | ||||
| No | 16 (40) | 19 (70.4) | 15 (60) | 50 (54.3) | |
| Yes | 24 (60) | 8 (29.6) | 10 (40) | 42 (45.7) | |
| Do you think you could be affected by rising unemployment rates during/after the pandemic? | 0.010* | ||||
| No | 11 (27.5) | 9 (33.3) | 16 (64) | 36 (39.1) | |
| Yes | 29 (72.5) | 18 (66.7) | 9 (36) | 56 (60.9) | |
| How are you affected by media news? | 0.138 | ||||
| Negatively | 22 (55) | 19 (70.4) | 19 (76) | 60 (65.2) | |
| Not influenced | 18 (45) | 8 (29.6) | 5 (20) | 31 (33.7) | |
| Positively | 0 (0) | 0 (0) | 1 (4) | 1 (1.1) | |
*Chi-square test; **ANOVA; Likelihood ratio test used where unspecified% in brackets; results with statistical significance are in bold