Table 1.
Sociodemographic and mental health characteristics of the study participants (n = 6,027)
| n | % | Mean | SD | |
|---|---|---|---|---|
| Gender | ||||
| Man | 2,509 | 41.6 | ||
| Woman | 3,518 | 58.4 | ||
| University year | ||||
| 1st | 2,029 | 33.7 | ||
| 2nd | 1,369 | 22.7 | ||
| 3rd | 1,731 | 28.7 | ||
| 4th | 898 | 14.9 | ||
| Romantic relationship | ||||
| Single | 4,569 | 75.8 | ||
| In a local relationship | 710 | 11.8 | ||
| In a long-distance relationship | 738 | 12.2 | ||
| Married | 5 | 0.1 | ||
| Divorced/separated | 5 | 0.1 | ||
| Relationship with family | ||||
| Very good | 2,443 | 40.5 | ||
| Good | 2,423 | 40.2 | ||
| Not bad | 1,026 | 17.0 | ||
| Bad | 109 | 1.8 | ||
| Very bad | 26 | 0.4 | ||
| Monthly household income (RMB)a | ||||
| 20,000 | 139 | 2.3 | ||
| 15,000–19,999 | 103 | 1.7 | ||
| 10,000–14,999 | 521 | 8.6 | ||
| 5,000–9,999 | 2,079 | 34.5 | ||
| 0–4,999 | 3,185 | 52.8 | ||
| Showing panic about COVID-19 on social media | ||||
| No | 5,487 | 91.0 | ||
| Yes | 540 | 9.0 | ||
| Opinion about media reports about the pandemic | ||||
| Not interested | 141 | 2.3 | ||
| General | 287 | 4.8 | ||
| Detailed | 893 | 14.8 | ||
| Very detailed | 2,120 | 35.2 | ||
| Should be more detailed | 2,586 | 42.9 | ||
| Worried about getting infected myself | ||||
| Not worried | 1,836 | 30.5 | ||
| Slightly worried | 2,388 | 39.6 | ||
| Moderately worried | 1,343 | 22.3 | ||
| Very worried | 460 | 7.6 | ||
| Worried about family getting infected | ||||
| Not worried | 1,289 | 21.4 | ||
| Slightly worried | 1,498 | 24.9 | ||
| Moderately worry | 2,076 | 34.4 | ||
| Very worried | 1,164 | 19.3 | ||
| Cohabitants nervous about COVID-19 | ||||
| Never | 2,477 | 41.1 | ||
| A few days | 3,221 | 53.4 | ||
| More than half the time | 274 | 4.5 | ||
| Almost every day | 55 | 0.9 | ||
| Objective support score | 9.8 | 2.6 | ||
| 1–6 | 607 | 10.1 | ||
| 7–13 | 4,908 | 81.4 | ||
| 14–20 | 512 | 8.5 | ||
| Subjective support score | 22.7 | 4.5 | ||
| 1–15 | 336 | 5.6 | ||
| 16–25 | 3,967 | 65.8 | ||
| 25–32 | 1,724 | 28.6 | ||
| Use of support score | 7.6 | 1.7 | ||
| 1–4 | 152 | 2.5 | ||
| 5–8 | 4,156 | 69.0 | ||
| 9–12 | 1,719 | 28.5 | ||
| SSRS score | 40.1 | 7.1 | ||
| 1–29 | 381 | 6.3 | ||
| 30–49 | 5,072 | 84.1 | ||
| 50–64 | 574 | 9.5 | ||
| Self-emotion appraisal score | 21.4 | 3.8 | ||
| 1–14 | 219 | 3.6 | ||
| 15–21 | 2,687 | 44.6 | ||
| 22–28 | 3,121 | 51.8 | ||
| Regulation of emotion score | 19.2 | 4.4 | ||
| 1–14 | 797 | 13.2 | ||
| 15–21 | 3,430 | 56.9 | ||
| 22–28 | 1,800 | 29.9 | ||
| Use of emotion score | 19.7 | 4.2 | ||
| 1–14 | 588 | 9.8 | ||
| 15–21 | 3,396 | 56.3 | ||
| 22–28 | 2,043 | 33.9 | ||
| Others-emotion appraisal score | 20.6 | 4.1 | ||
| 1–14 | 352 | 5.8 | ||
| 15–21 | 3,185 | 52.8 | ||
| 22–28 | 2,490 | 41.3 | ||
| WLEIS score | 80.9 | 13.5 | ||
| 1–56 | 193 | 3.2 | ||
| 57–84 | 3,530 | 58.6 | ||
| 84–112 | 2,304 | 38.2 | ||
| K10 score | 21.4 | 8.2 | ||
| 10–15 (Good) | 1,777 | 29.5 | ||
| 16–21 (Normal) | 1,518 | 25.2 | ||
| 22–29 (Poor) | 1,361 | 22.6 | ||
| 30–50 (Terrible) | 1,371 | 22.7 | ||
K10 = 10-item Kessler Psychological Distress Scale; RMB = renminbi; SD = standard deviation; SSRS = Social Support Rating Scale; WLEIS = Wong Law Emotional Intelligence Scale.
a
1 RMB = approximately .155 USD.