Table 2.
Baseline characteristics of the participating youths in the COVID-19 Impact on Lifestyle Change Survey (COINLICS).
| Variable | Mean (SD) or percentage (%) | ||||
|---|---|---|---|---|---|
| All (n = 10,540) | High school (n = 2,855) | Undergraduate (n = 7,419) | Graduate (n = 266) | P-value | |
| Age (year) | 19.9 (2.3) | 17.5 (1.2) | 20.6 (1.8) | 24.7 (3.4) | <0.001 |
| Sex | <0.001 | ||||
| Male | 28.7 | 24.2 | 30.4 | 27.8 | |
| Female | 71.3 | 75.8 | 69.6 | 72.2 | |
| Ethnicity | <0.001 | ||||
| Han | 94.9 | 96.7 | 94.4 | 91.0 | |
| Minority | 5.1 | 3.3 | 5.6 | 9.0 | |
| Urbanicity | <0.001 | ||||
| Urban | 38.2 | 24.3 | 42.6 | 62.8 | |
| Non-urban | 61.8 | 75.7 | 57.4 | 37.2 | |
| Region a | <0.001 | ||||
| Northeast | 0.3 | 0.1 | 0.3 | 3.4 | |
| East | 9.2 | 0.7 | 11.9 | 25.2 | |
| West | 87.1 | 99.2 | 83.5 | 56.8 | |
| Central | 3.4 | 0.0 | 4.3 | 14.6 | |
| Household income ( yuan /year) | <0.001 | ||||
| <12,000 | 20.0 | 24.5 | 18.7 | 6.8 | |
| ≥12,000–20,000 | 28.0 | 35.6 | 25.8 | 8.3 | |
| >20,000–60,000 | 26.7 | 25.8 | 27.3 | 21.8 | |
| >60,000–10,0000 | 13.1 | 9.5 | 14.1 | 23.3 | |
| >100,000–200,000 | 8.6 | 3.3 | 10.0 | 25.9 | |
| >200,000 | 3.6 | 1.3 | 4.1 | 13.9 | |
| Major | <0.001 | ||||
| Medical Science | 37.0 | 88.7 | 16.5 | 52.3 | |
| Science/Engineering | 25.8 | 10.5 | 31.7 | 26.3 | |
| Social Science | 37.2 | 0.8 | 51.8 | 21.4 | |
a
Northeast (Liaoning, Jilin, Heilongjiang province), East (Beijing, Tianjin, Hebei, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, Guangdong, Hainan province), Central (Shanxi, Anhui, Jiangxi, Henan, Hubei, Hunan province), and West of China (Inner Mongolia, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang). All significant p-values (p < 0.05) were bolded.