Table 2.
Long COVID in sample subgroups (n = 303).
| Subgroups | Long COVID n (%) | Not Long COVID n (%) | p |
|---|---|---|---|
| Age group | 0.07 | ||
| 18–29 years | 20 (37.7) | 33 (62.3) | |
| 30–39 years | 18 (21.2) | 67 (78.8) | |
| 40–49 years | 30 (29.1) | 73 (70.9) | |
| 50–59 years | 16 (40.0) | 24 (60.0) | |
| 60–69 years | 3 (18.8) | 13 (81.3) | |
| 70 years and over | 0 (0.0) | 6 (100.0) | |
| Gender a | 0.05 | ||
| Male | 19 (21.6) | 69 (78.4) | |
| Female | 65 (32.8) | 133 (67.2) | |
| Education level | 0.23 | ||
| Lower education | 21 (23.9) | 67 (76.1) | |
| Higher education (bachelor’s degree or higher) | 66 (30.7) | 149 (69.3) | |
| Spouse/partner | 0.28 | ||
| No | 30 (33.0) | 61 (67.0) | |
| Yes | 57 (26.9) | 155 (73.1) | |
| Employment | 0.51 | ||
| No | 22 (31.9) | 47 (68.1) | |
| Yes | 65 (27.8) | 169 (72.2) |
Note: Chi-square tests. Significance values indicate the probability of proportions between groups being equal. a n = 286 due to some missing or non-binary responses to gender.