Table 1.
Sociodemographic and COVID-19 data.
| T0 |
T1 |
T2 |
|
|---|---|---|---|
| N (%) | N (%) | N (%) | |
| Gender | |||
| Female | 2,584 (75%) | 841 (81%) | 453 (81%) |
| Male | 860 (25%) | 202 (19%) | 104 (19%) |
| Age | |||
| 18 to 30 | 1,216 (35%) | 306 (29%) | 148 (27%) |
| 31 to 59 | 2,035 (59%) | 670 (64%) | 364 (65%) |
| 60 to 80 | 200 (6%) | 69 (7%) | 46 (8%) |
| Marital status | |||
| Single | 1,900 (55%) | 542 (52%) | 268 (48%) |
| Married | 1,231 (36%) | 386 (37%) | 227 (41%) |
| Divorced | 214 (6%) | 82 (8%) | 42 (8%) |
| Separated | 67 (2%) | 28 (3%) | 17 (3%) |
| Widower | 39 (1%) | 7 (1%) | 4 (1%) |
| Education | |||
| Elementary | 98 (3%) | 15 (1%) | 6 (1%) |
| High school | 599 (17%) | 149 (14%) | 69 (12%) |
| Vocational training | 439 (13%) | 125 (12%) | 68 (12%) |
| University | 1,294 (37%) | 401 (38%) | 216 (39%) |
| Postgraduate | 1,021 (30%) | 355 (34%) | 199 (36%) |
| Perceived economic situation | |||
| Bad-very bad | 348 (10%) | 111 (11%) | 58 (10%) |
| Good-very good | 1,975 (59%) | 621 (60%) | 359 (65%) |
| Neither good nor bad | 1,042 (31%) | 304 (29%) | 137 (25%) |
| COVID-19 symptoms | |||
| No | 2,974 (86%) | 836 (80%) | 445 (80%) |
| Yes | 477 (14%) | 209 (20%) | 113 (20%) |
| COVID-19 diagnosis for a relative | |||
| No | 2,474 (72%) | 638 (61%) | 380 (68%) |
| Yes | 977 (28%) | 407 (39%) | 178 (32%) |
| Information received about COVID-19 | |||
| Insufficient | 614 (18%) | 184 (18%) | 96 (17%) |
| Good | 1,983 (57%) | 594 (57%) | 326 (58%) |
| Over-informed | 854 (25%) | 267 (26%) | 136 (24%) |