Table 1 Demographics of the participants
Participants |  | N = 6130 |
|---|---|---|
Gender | Men | 2030 (33.1) |
Women | 4100 (66.9) | |
Age | 16 < Age ≤ 20 | 1833 (29.9) |
21 < Age ≤ 30 | 2538 (41.4) | |
31 < Age ≤ 40 | 800 (13.1) | |
41 < Age ≤ 50 | 675 (11) | |
Above 51 | 284 (4.6) | |
Career | Student | 3415 (55.7) |
Civil servant | 217 (3.5) | |
Middle and senior manager | 303 (4.9) | |
blue-and-white collar workers | 1232 (20.1) | |
Professional staff | 503 (8.2) | |
medical professionals | 460 (7.5) | |
Income (RMB) | Below 1000Yuan | 3120 (50.9) |
1001–3000 Yuan | 700 (11.4) | |
3001–5000 Yuan | 769 (12.5) | |
5001–7000 Yuan | 611 (10) | |
7001–10,000 Yuan | 442 (7.2) | |
10,001 RMB Yuan | 488 (8) | |
Marital status | Single | 4163 (67.9) |
Married or cohabit | 1866 (30.4) | |
Divorced or other | 101 (1.6) | |
Chronic physical disease | No | 5674 (92.6) |
Yes | 456 (7.4) | |
Religion | No | 5503 (89.8) |
Yes | 627 (10.2) | |
National ethnic minority | No | 5778 (94.3) |
Yes | 352 (5.7) | |
Education | Middle school and below | 470 (7.7) |
Associate degree | 638 (10.4) | |
university | 4381 (71.5) | |
Master’s degree or above | 641 (10.5) | |
Daily online time | 0 h < time ≤ 3 h | 781 (12.7) |
3 h < time ≤ 5 h | 1825 (29.8) | |
5 h < time ≤ 7 h | 1510 (24.6) | |
7 h < time ≤ 9 h | 903 (14.7) | |
>  9 h | 1111 (18.1) | |
Frequency of receiving information regarding COVID-19 | Rarely | 276 (4.5) |
Sometimes | 550 (9) | |
often | 3642 (59.4) | |
All the time | 1662 (27.1) | |
Difficulty accessing medical treatment | Not sick or not difficult | 5840 (95.3) |
Yes | 290 (4.7) | |
Experience with traumatic incidents | Negative | 718 (11.7) |
Positive | 1452 (23.7) | |
Did not experiences | 3961 (64.5) | |
Mental health disorder | None | 4513 (73.7) |
Having one mental health disorder | 992 (16.2) | |
Comorbidities with one mental health disorders | 407 (6.6) | |
Comorbidities with two or more mental health disorders | 218 (3.6) | |
Infection cases in local area | 0–9 | 1361 (22.2) |
10–30 | 1960 (32) | |
31–100 | 995 (16.2) | |
101–300 | 1033 (16.9) | |
301 above | 781 (12.7) | |
COVID-19 information from newspaper | No | 5695 (92.9) |
Yes | 435 (7.1) | |
COVID-19 Information from News App | No | 1433 (23.4) |
Yes | 4697 (76.6) | |
Self-searching COVID-19 information | No | 2632 (42.9) |
Yes | 3498 (57.1) | |
COVID-19 information from WeChat group | No | 2433 (39.7) |
Yes | 3697 (60.3) | |
COVID-19 information from state media on TV | No | 2355 (38.4) |
Yes | 3775 (61.6) | |
COVID-19 information from friends | No | 5037 (82.2) |
Yes | 1093 (17.8) | |
Message from family | No | 4324 (70.5) |
Yes | 1806 (29.5) | |
Publicity from community worker | No | 4446 (72.5) |
Yes | 1684 (27.5) | |
Desperation induced by information relevant to COVID-19 | M ± SD | 1.91 (1.77) |
Fear induced by information relevant to COVID-19 | M ± SD | 4.01(±2.64) |
Confusion induced by information relevant to COVID-19 | M ± SD | 3.55(±2.65) |
Anger induced by information relevant to COVID-19 | M ± SD | 3.87(±3.06) |
Sadness induced by information relevant to COVID-19 | M ± SD | 3.86(±2.88) |
Somatic discomfort induced by information relevant to COVID-19 | M ± SD | 1.94 (±1.73) |
The likelihood that oneself get infected | M ± SD | 1.94(±1.73) |
The likelihood that your family member get infected | M ± SD | 1.96(±1.73) |
The likelihood of having sequela after cured | M ± SD | 4.65(±2.85) |
The likelihood that this disease will be cured | M ± SD | 6.7 (±2.87) |