Table 1 Characteristics of study participants (n = 15,087)
Variables | Total (%) n = 15,087 | General Population (%) n = 11,120 | Medical Students (%) n = 1752 | Physicians (%) n = 1394 | Paramedic (%) n = 821 | P-value |
|---|---|---|---|---|---|---|
Age range (years) | < 0.001* | |||||
18–30 | 8513 (56.4%) | 5819 (52.3%) | 1695 (96.7%) | 531 (38.1%) | 468 (57%) | |
31–40 | 4353 (28.9%) | 3343 (30.1%) | 50 (2.9%) | 683 (49%) | 277 (33.7%) | |
41–50 | 1546 (10.2%) | 1354 (12.2%) | 6 (0.3%) | 132 (9.5%) | 54 (6.6%) | |
> 50 | 675 (4.5%) | 604 (5.4%) | 1(0.1%) | 48 (3.4%) | 22 (2.7%) | |
Gender | < 0.001* | |||||
Female | 8860 (58.7%) | 6144 (55.3%) | 1244 (71%) | 953 (68.4%) | 519 (63.2%) | |
Male | 6227 (41.3% | 4976 (44.7%) | 508 (29%) | 441 (31.6%) | 302 (36.8%) | |
Marital status | ||||||
Married | 9036 (59.9%) | 6386 (57.4%) | 1635 (93.3%) | 579 (41.5%) | 436 (53.1%) | < 0.001* |
Not married (Including widow and divorce status) | 6051 (40.1%) | 4734 (42.6%) | 117 (6.7%) | 815 (58.5%) | 385 (46.9%) | |
Education level | < 0.001* | |||||
Elementary | 53 (0.4%) | 48 (0.4%) | 0 (0%) | 0 (0%) | 0 (0%) | |
Middle school | 326 (2.2%) | 310 (2.8%) | 0 (0%) | 0 (0%) | 3 (0.4%) | |
High school | 2643 (17.5%) | 2477 (22.3%) | 0 (0%) | 0 (0%) | 72 (8.8%) | |
Post-secondary Studies | 12,065 (80%) | 8285 (74.5%) | 1752 (100%) | 1394 (100%) | 746 (90.9%) | |
Geographical region | < 0.001* | |||||
West | 10,678 (70.8%) | 7944 (71.4%) | 1184 (67.6%) | 1018 (73%) | 532 (64.8%) | |
East | 2025 (13.4%) | 1412 (12.7%) | 348 (19.9%) | 176 (12.6%) | 89 (10.8%) | |
South | 676 (4.5%) | 487 (4.4%) | 67 (3.8%) | 51 (3.7%) | 71 (8.6%) | |
Center | 1708 (11.3%) | 1277 (11.5%) | 153 (8.7%) | 149 (10.7%) | 129 (15.7%) | |
Monthly Income | < 0.001* | |||||
< 1000 LYD | 6085 (40.3%) | 4560 (41%) | 645 (36.8%) | 476 (34.1%) | 404 (49.2%) | |
1000–2500 LYD | 6514 (43.2%) | 4724 (42.5%) | 770 (43.9%) | 686 (49.2%) | 334 (40.7%) | |
2500–4000 LYD | 1680 (11.1%) | 1235 (11.1%) | 233 (13.3%) | 150 (10.8%) | 62 (7.6%) | |
> 4000 LYD | 808 (5.4%) | 601 (5.4%) | 104 (5.9%) | 82 (5.9%) | 21 (2.6%) | |
Have financial difficulties | < 0.001* | |||||
Yes | 6714 (44.5%) | 4948 (44.5%) | 716 (10.7%) | 627 (45%) | 418 (50.9%) | |
No | 8373 (55.5%) | 6167 (55.5%) | 1036 (59.1%) | 767 (55%) | 403 (49.1%) | |
Fixed monthly income | < 0.001* | |||||
Yes | 8289 (54.9%) | 6297 (56.6%) | 538 (30.7%) | 932 (66.9%) | 522 (63.9%) | |
No | 6798 (45.1%) | 4823 (43.4%) | 1214 (69.3%) | 462 (33.1%) | 299 (36.4%) | |
Currently Infected with COVID-19 | 0.344 | |||||
Yes | 485 (3.2%) | 369 (3.3%) | 46 (2.6%) | 48 (3.4%) | 22 (2.7%) | |
No | 14,602 (96.8%) | 10,751(96.7%) | 1706 (97.4%) | 1346(96.6%) | 799 (97.3%) | |
Previously infected with COVID-19 | < 0.001* | |||||
Yes | 2000 (13.3%) | 1403 (12.6%) | 230 (13.1%) | 241 (17.3%) | 126 (15.3%) | |
No | 13,087 (86.7%) | 9717 (87.4%) | 1522 (86.9%) | 1153(82.7%) | 695 (84.7%) | |
Have a family member or friend infected with COVID-19? | < 0.001* | |||||
Yes | 8564 (56.8%) | 6323 (56.9%) | 908 (51.8%) | 894 (64.1%) | 439 (53.5%) | |
No | 6523 (43.2%) | 4797 (43.1%) | 844 (48.2%) | 500 (35.9%) | 382 (46.5%) | |
Have family members or friends died due to COVID-19? | 0.0508 | |||||
Yes | 5189 (34.4%) | 3861 (34.7%) | 586 (33.4%) | 473 (33.9%) | 269 (32.8%) | |
No | 9898 (65.6%) | 7259 (65.3%) | 1166 (66.6%) | 921 (66.1%) | 552 (67.2%) | |
The main source of COVID-19 pandemic information? | < 0.001* | |||||
World Health Organization (WHO) | 4411 (29.2%) | 2970 (26.7%) | 628 (35.8%) | 564 (40.5%) | 249 (30.3%) | |
National Center for Disease Control (NCDC) | 3873 (25.7%) | 2955 (26.6%) | 385 (22%) | 292 (20.9%) | 241 (29.4%) | |
News and Media | 1576 (10.4%) | 1254 (11.3%) | 130 (7.4%) | 124 (8.9%) | 68 (8.3%) | |
Internet and Social Media | 4771 (31.6%) | 3617 (32.5%) | 549 (31.3%) | 366 (26.3%) | 239 (29.1%) | |
More than one source | 201 (1.3%) | 150 (1.3%) | 23 (1.3%) | 21 (1.5%) | 7 (0.9%) | |
Other | 255 (1.7%) | 174 (1.6%) | 37 (2.1%) | 27 (1.9%) | 17 (2.1%) | |