Table 2.
Reported information and emotional distress related to COVID-19 (N = 3613).
| Variables | No. (%) |
|---|---|
| Family members involved in anti-epidemic work | |
| Father only | 57 (1.50%) |
| Mother only | 47 (1.30%) |
| Parents | 37 (1.02%) |
| Relatives | 32 (0.89%) |
| None | |
| 3443 (95.29%) | |
| Occupation of the family member who involved in anti-epidemic work | |
| Medical personal | 49 (28.32%) |
| Non-medical-staff | 124 (71.68%) |
| Family member or friend infected with coronavirus | |
| Yes | 20 (0.55%) |
| No | 3593 (99.45%) |
| Degree of concern about the epidemic | |
| Very concerned | 2109 (58.37%) |
| Concerned | 1181 (32.69%) |
| Average | 300 (8.30%) |
| Not concerned | 15(0.42%) |
| Very unconcerned | 8 (0.22%) |
| Implementation of the precaution and control measures | |
| Strictly enforced | 3391 (93.86%) |
| Sometimes | 204 (5.65%) |
| Occasionally | 16 (0.44%) |
| Never | 2 (0.05%) |
| Learning affected by the epidemic | |
| Yes | 1976 (54.69%) |
| No | 1637 (45.31%) |
| Graduation affected by the epidemic | |
| Yes | 1288 (35.65%) |
| No | 2325 (64.35%) |
| Average time per day spend on Internet before the epidemic | |
| ≤1 h | 1275 (35.29%) |
| 1–3 h | 1406 (38.92%) |
| 3–5 h | 566 (15.67%) |
| ≥5 h | 366 (10.12%) |
| Average time per day spend on Internet during the epidemic | |
| ≤1 h | 432 (11.96%) |
| 1–3 h | 1116 (30.89%) |
| 3–5 h | 996 (27.57%) |
| ≥5 h | 1069 (29.58%) |
| The main purpose spent online before the epidemic* | |
| Study | 2063 (57.10%) |
| Entertainment | 1001 (27.71%) |
| Surf the Internet | 468 (12.95%) |
| Etc. | 81 (2.24%) |
| The main purpose spent online during the epidemic | |
| Study | 2830(78.33%) |
| Entertainment | 519(14.36%) |
| Surf the Internet | 211(5.84%) |
| Etc. | 53(1.47%) |
| Willingness to engage in medicine | |
| Always | 1590 (44.00%) |
| A little uncertain after the epidemic | 277 (7.67%) |
| Very willingly after the epidemic | 677 (18.74%) |
| Never | 1069 (29.59%) |
| Clinical depressive symptoms | |
| Yes (≥19) | 805 (22.28%) |
| No (<19) | 2808 (77.72%) |
| Smartphone addiction | |
| Female with smartphone addiction (≥31) | 372 (10.30%) |
| Male with smartphone addiction (≥33) | 472 (13.06%) |
| Female without smartphone addiction (<31) | 1420 (39.30%) |
| Male without smartphone addiction (<33) | 1349 (37.34%) |
| Internet addiction | |
| Yes (≥70) | 218 (6.03%) |
| No (<70) | 3395 (93.96%) |