Table 2.
Sociodemographic and health-related characterisation of NOVA University subjects, stratified based on SARS-CoV-2 serology results.
| Total (n = 1,624) | Negative (n = 1,574) | Positive (n = 50) | |
|---|---|---|---|
| Sex | n = 1,624 | n = 1,574 | n = 50 |
| Female | 1,072 (66.0%) | 1,038 (65.9%) | 34 (68.0%) |
| Male | 552 (34.0%) | 536 (34.1%) | 16 (32.0%) |
| Age Group | n = 1,616 | n = 1,566 | n = 50 |
| <30 | 296 (18.3%) | 285 (18.2%) | 11 (22.0%) |
| (30, 39) | 438 (27.1%) | 423 (27.0%) | 15 (30.0%) |
| (40, 49) | 413 (25.6%) | 401 (25.6%) | 12 (24.0%) |
| (50, 59) | 309 (19.1%) | 300 (19.2%) | 9 (18.0%) |
| ≥60 | 160 (9.9%) | 157 (10.0%) | 3 (6.0%) |
| Academic degree | n = 1,557 | n = 1,511 | n = 46 |
| PhD | 633 (40.7%) | 614 (40.6%) | 19 (41.3%) |
| MSc | 380 (24.4%) | 368 (24.4%) | 12 (26.1%) |
| BD | 343 (22.0%) | 333 (22.0%) | 10 (21.7%) |
| Secondary School | 131 (8.4%) | 130 (8.6%) | 1 (2.2%) |
| High School | 43 (2.8%) | 39 (2.6%) | 4 (8.7%) |
| Complete Primary school | 25 (1.6%) | 25 (1.6%) | – |
| Primary School | 2 (0.1%) | 2 (0.1%) | – |
| Faculty/Institute | n = 1,598 | n = 1,551 | n = 47 |
| ENSP | 40 (2.6%) | 40 (2.6%) | – |
| NMS | 240 (15.0%) | 225 (14.5%) | 15 (31.9%) |
| FCSH | 197 (12.3%) | 193 (12.4%) | 4 (8.5%) |
| FCT | 447 (28.0%) | 438 (28.2%) | 9 (19.2%) |
| FD | 31 (1.9%) | 30 (1.9%) | 1 (2.1%) |
| IHMT | 46 (2.9%) | 44 (2.8%) | 2 (4.3%) |
| ITQB/IBET | 289 (18.1%) | 280 (18.1%) | 9 (19.1%) |
| RUNL | 113 (7.1%) | 112 (7.2%) | 1 (2.1%) |
| SBE | 195 (12.2%) | 189 (12.2%) | 6 (12.8%) |
| Body Mass Index (kg/m2) | n = 1,583 | n = 1,535 | n = 48 |
| Underweight (<18.5) | 44 (2.8%) | 42 (2.7%) | 2 (4.2%) |
| Normal (18.5–24.9) | 910 (57.5%) | 881 (57.4%) | 29 (60.4%) |
| Overweight (25–29.9) | 475 (10.0%) | 460 (30.0%) | 15 (31.3%) |
| Obese (≥30) | 154 (9.7%) | 152 (9.9%) | 2 (4.2%) |
| Occupational group | n = 1,559 | n = 1,514 | n = 45 |
| Armed Forces | 1 (0.1%) | 1 (0.1%) | – |
| Executives/Directors/Managers | 42 (2.7%) | 42 (2.8%) | – |
| Scientific and Intellectual Areas | 1,272 (81.6%) | 1,235 (81.6%) | 37 (82.2%) |
| Middle level | 73 (4.7%) | 69 (4.6%) | 4 (8.9%) |
| Administrative | 98 (6.3%) | 97 (6.4%) | 1 (2.2%) |
| Personal Services | 20 (1.3%) | 20 (1.3%) | – |
| Agriculture/Fishing | – | – | – |
| Industry/Construction | 8 (0.5%) | 8 (0.5%) | – |
| Machine operators | – | – | – |
| Non-qualified workers | 45 (2.9%) | 42 (2.8%) | 3 (6.7%) |
| Smoking | n = 1,608 | n = 1,558 | n = 50 |
| Never | 907 (56.4%) | 882 (56.6%) | 25 (50.0%) |
| Daily | 214 (13.3%) | 210 (13.5%) | 4 (8.0%) |
| Occasionally | 101 (6.3%) | 95 (6.1%) | 6 (12.0%) |
| In the past | 380 (23.6%) | 365 (23.4%) | 15 (30.0%) |
| DK/DA | 6 (0.4%) | 6 (0.4%) | – |
| Alcohol | n = 1,592 | n = 1,543 | n = 49 |
| Never | 198 (12.4%) | 192 (12.4%) | 6 (12.2%) |
| Daily | 130 (8.2%) | 124 (8.0%) | 6 (12.2%) |
| Occasionally | 1,255 (78.8%) | 1,218 (78.9%) | 37 (75.5%) |
| DK/DA | 9 (0.6%) | 9 (0.6%) | – |
| Comorbidities | n = 1,624 | n = 1,574 | n = 50 |
| No | 590 (36.3%) | 568 (36.1%) | 22 (44.0%) |
| Yes | 1,034 (63.7%) | 1,006 (63.9%) | 28 (56.0%) |
| Presence of Chronic Diseases* | |||
| Hypertension | 190 (11.8%) | 187 (11.9%) | 3 (6.0%) |
| Diabetes | 32 (2.0%) | 31 (2.0%) | 1 (2.0%) |
| Cholesterol | 266 (16.6%) | 258 (16.6%) | 8 (16.0%) |
| Pulmonary | 58 (3.6%) | 57 (3.7%) | 1 (2.0%) |
| Cardiac | 101 (6.3%) | 99 (6.3%) | 2 (4.0%) |
| Thrombose | 8 (0.5%) | 8 (0.5%) | – |
| Digestive | 246 (15.3%) | 238 (15.3%) | 8 (16.0%) |
| Neurological | 180 (11.2%) | 175 (11.2%) | 5 (10.2%) |
| Allergies | 571 (35.5%) | 556 (35.7%) | 15 (30.0%) |
| Oncological | 44 (2.8%) | 43 (2.8%) | 1 (2.0%) |
| Hyperuricemia | 25 (1.6%) | 23 (1.5%) | 2 (4.0%) |
| Urinary | 74 (4.8%) | 74 (4.8%) | – |
| Rheumatic | 82 (5.3%) | 80 (5.4%) | 2 (4.1%) |
| Chronic medication | n = 1,616 | n = 1,566 | n = 50 |
| No | 975 (60.3%) | 940 (60.0%) | 35 (70.0%) |
| Yes | 641 (39.7%) | 626 (40.0%) | 15 (30.0%) |
| Presence of Anxiety | 121 (8.1%) | 114 (7.8%) | 7 (16.3%) |
| Presence of Depression | 32 (2.1%) | 30 (2.1%) | 2 (4.6%) |
Sample size is not constant due to missing values in: Hypertension (n = 1,611), Diabetes (n = 1,606), Cholesterol (n = 1,605), Pulmonary (n = 1,612), Cardiac (n = 1,612), Thrombose (n = 1,611), Digestive (n = 1,606), Neurological (n = 1,608), Allergies (n = 1,609), Oncological (n = 1,575), Hyperuricemia (n = 1,585), Urinary (n = 1,583), Rheumatic (n = 1,545), Presence of Anxiety (n = 1,500), Presence of Depression (n = 1,507).
Negative SARS-CoV-2 serology: Hypertension (n = 1,561), Diabetes (n = 1,556), Cholesterol (n = 1,555), Pulmonary (n = 1,562), Cardiac (n = 1,562), Thrombose (n = 1,561), Digestive (n = 1,556), Neurological (n = 1,559), Allergies (n = 1,559), Oncological (n = 1,525), Hyperuricemia (n = 1,535), Urinary (n = 1,533), Rheumatic (n = 1,496), Presence of Anxiety (n = 1,457), Presence of Depression (n = 1,463).
Positive SARS-CoV-2 serology: Neurological (n = 49), Rheumatic (n = 49), Presence of Anxiety (n = 43), Presence of Depression (n = 44).
DK/DA, Didn't know/ Didn't answer.