Table 4 Sociodemographic characteristics of participants
Type of site | ||||||||
|---|---|---|---|---|---|---|---|---|
Variable | Healthcare centre | Nursing home | School | Overall | ||||
N = 823 | N = 116 | N = 366 | N = 1305 | |||||
Age (mean, standard deviation) | 46.5 (15.4) | 47.7 (13.0) | 48.8 (12.7) | 47.2 (14.5) | ||||
n | % | n | % | n | % | n | % | |
Gender | ||||||||
Female | 657 | 79.8% | 98 | 84.5% | 290 | 79.2% | 1045 | 80.1% |
Male | 165 | 20.0% | 18 | 15.5% | 76 | 20.8% | 259 | 19.8% |
Prefer not to say | 1 | 0.1% | 0 | 0% | 0 | 0% | 1 | 0.1% |
Education | ||||||||
Elementary school | 0 | 0% | 1 | 0.9% | 1 | 0.3% | 2 | 0.2% |
High school | 58 | 7.0% | 17 | 14.7% | 48 | 13.1% | 123 | 9.4% |
Professional technical education | 203 | 24.7% | 52 | 44.8% | 63 | 17.2% | 318 | 24.4% |
Secondary school | 7 | 0.9% | 1 | 0.9% | 1 | 0.3% | 9 | 0.7% |
University (bachelor’s or master’s degree) | 529 | 64.3% | 44 | 37.9% | 251 | 68.6% | 824 | 63.1% |
University (PhD) | 26 | 3.2% | 1 | 0.9% | 2 | 0.5% | 29 | 2.2% |
Occupation | ||||||||
Administration | 27 | 3.3% | 1 | 0.9% | 4 | 1.1% | 32 | 2.5% |
Assistant | 0 | 0% | 0 | 0% | 1 | 0.3% | 1 | 0.1% |
Cleaner | 20 | 2.4% | 6 | 5.2% | 25 | 6.8% | 51 | 3.9% |
Cook | 0 | 0% | 3 | 2.6% | 0 | 0% | 3 | 0.2% |
Director | 7 | 0.9% | 2 | 1.7% | 20 | 5.5% | 29 | 2.2% |
Driver | 7 | 0.9% | 1 | 0.9% | 7 | 1.9% | 15 | 1.1% |
Laboratory personnel | 11 | 1.3% | 0 | 0% | 0 | 0% | 11 | 0.8% |
Librarian | 1 | 0.1% | 0 | 0% | 8 | 2.2% | 9 | 0.7% |
Maintenance staff | 77 | 9.4% | 8 | 6.9% | 26 | 7.1% | 111 | 8.5% |
Manager | 0 | 0% | 0 | 0% | 1 | 0.3% | 1 | 0.1% |
Medical doctor | 314 | 38.2% | 13 | 11.2% | 3 | 0.8% | 330 | 25.3% |
Nurse | 228 | 27.7% | 25 | 21.6% | 6 | 1.6% | 259 | 19.8% |
Other | 80 | 9.7% | 50 | 43.1% | 15 | 4.1% | 145 | 11.1% |
Sanitarian | 51 | 6.2% | 7 | 6.0% | 0 | 0% | 58 | 4.4% |
Social worker | 0 | 0% | 0 | 0% | 1 | 0.3% | 1 | 0.1% |
Teacher | 0 | 0% | 0 | 0% | 249 | 68.0% | 249 | 19.1% |
Household membersa | ||||||||
0 | 95 | 11.5% | 16 | 13.8% | 25 | 6.8% | 136 | 10.4% |
1 | 175 | 21.3% | 24 | 20.7% | 56 | 15.3% | 255 | 19.5% |
2 | 205 | 24.9% | 26 | 22.4% | 60 | 16.4% | 291 | 22.3% |
3 | 180 | 21.9% | 30 | 25.9% | 87 | 23.8% | 297 | 22.8% |
≥ 4 | 168 | 20.4% | 20 | 17.2% | 138 | 37.7% | 326 | 25.0% |
Household members employed in the past 3 months | ||||||||
0 | 201 | 24.4% | 33 | 28.4% | 132 | 36.1% | 366 | 28.0% |
1 | 352 | 42.8% | 44 | 37.9% | 173 | 47.3% | 569 | 43.6% |
2 | 180 | 21.9% | 26 | 22.4% | 42 | 11.5% | 248 | 19.0% |
3 | 66 | 8% | 11 | 9,5% | 13 | 3,6% | 90 | 6,9% |
≥ 4 | 24 | 2.9% | 2 | 1.7% | 6 | 1.6% | 32 | 2.5% |
Children under 12 years in the household | ||||||||
0 | 490 | 68.1% | 69 | 69.0% | 211 | 61.9% | 770 | 66.3% |
1 | 133 | 18.5% | 15 | 15.0% | 60 | 17.6% | 208 | 17.9% |
2 | 79 | 11.0% | 16 | 16.0% | 45 | 13.2% | 140 | 12.1% |
3 | 13 | 1.8% | 0 | 0% | 20 | 5.9% | 33 | 2.8% |
≥ 4 | 5 | 0.7% | 0 | 0% | 5 | 1.5% | 10 | 0.9% |
Smartphone ownership | ||||||||
No | 113 | 13.7% | 15 | 12.9% | 127 | 34.7% | 255 | 19.5% |
Yes | 710 | 86.3% | 101 | 87.1% | 239 | 65.3% | 1050 | 80.5% |
COVID-19 vaccination doses received | ||||||||
0 | 108 | 13.1% | 52 | 44.8% | 244 | 66.7% | 404 | 31.0% |
1 | 26 | 3.2% | 6 | 5.2% | 6 | 1.6% | 38 | 2.9% |
2 | 404 | 49.1% | 46 | 39.7% | 109 | 29.8% | 559 | 42.8% |
≥ 3 | 285 | 34.6% | 12 | 10.3% | 7 | 1.9% | 304 | 23.3% |
Previous diagnosis of COVID-19 | ||||||||
Yes | 638 | 77.5% | 97 | 83.6% | 188 | 51.4% | 923 | 70.7% |
No | 166 | 20.2% | 19 | 16.4% | 176 | 48.1% | 361 | 27.7% |
Don’t know/remember | 19 | 2.3% | 0 | 0% | 2 | 0.5% | 21 | 1.6% |
Previous COVID-19 severity of symptoms | ||||||||
Asymptomatic | 83 | 13.2% | 13 | 13.5% | 6 | 3.2% | 102 | 11.1% |
Flu-like symptoms | 311 | 49.3% | 22 | 22.9% | 64 | 34.0% | 397 | 43.4% |
Mild to moderate symptoms | 216 | 34.2% | 52 | 54.2% | 100 | 53.2% | 368 | 40.2% |
Severe symptoms | 21 | 3.3% | 9 | 9.4% | 18 | 9.6% | 48 | 5.2% |
Previous medical conditions/risk factorsb | ||||||||
None | 635 | 77.2% | 3 | 2.6% | 305 | 83.3% | 1034 | 79.2% |