TABLE 2.
The relationship of influencing factors with CPSS score (high vs. low) in medical students.
| Influencing factors | High CPSS score (n = 1,219) | Low CPSS score (n = 1,279) | P-value |
| Sex (%) | 0.086 | ||
| Male | 162(13.3) | 202(15.8) | |
| Female | 1,057(86.7) | 1,077(84.2) | |
| Age [mean (SD)] | 20.87(1.52) | 20.69(1.53) | 0.003 |
| Only one child (%) | 0.359 | ||
| Yes | 230(18.9) | 261(20.4) | |
| No | 989(81.1) | 1,018(79.6) | |
| Race (%) | 0.761 | ||
| Han | 1,143(93.8) | 1,204(94.1) | |
| others | 76(6.2) | 75(5.9) | |
| Source of students (%) | 0.153 | ||
| City | 122(10.0) | 159(12.4) | |
| Town | 298(24.4) | 298(23.3) | |
| Rural | 799(65.5) | 822(64.3) | |
| In come of family (per month) | 0.009 | ||
| 2,000 down | 347(28.5) | 301(23.5) | |
| 2,000–3,000 | 406(33.3) | 403(31.5) | |
| 3,001–4,000 | 190(15.6) | 239(18.7) | |
| 4,001–5,000 | 118(9.7) | 140(10.9) | |
| 5,000 up | 158(13.0) | 196(15.3) | |
| Level of familiarity for coronavirus (%) | <0.001 | ||
| Very understanding | 110(9.0) | 187(14.6) | |
| Relatively understanding | 630(51.7) | 705(55.1) | |
| General understanding | 453(37.2) | 375(29.3) | |
| Little understanding | 22(1.8) | 12(0.9) | |
| Not at all | 4(0.3) | 0(0.0) | |
| Live with family (%) | 0.418 | ||
| Yes | 1,181(96.9) | 1,247(97.5) | |
| No | 38(3.1) | 32(2.5) | |
| Infection cases (%) | 0.981 | ||
| No | 1,218(99.9) | 1,279(100.0) | |
| Yes | 1(0.1) | 0(0.0) | |
| Major of student (%) | <0.001 | ||
| Clinical | 185(15.2) | 267(20.9) | |
| Nursing | 1,034(84.8) | 1,012(79.1) | |
| Intern student (%) | <0.001 | ||
| Yes | 530(43.5) | 464(36.3) | |
| No | 689(56.5) | 815(63.7) |
Note: #Chi square test for categorical variables; T-test for continuous variables; Bold font means there is a significant difference between the two groups.