Table 1 Sociodemographic information of the participants (N = 981)
From: Factors influencing COVID-19 knowledge-gap: a cross-sectional study in China
| Variable | n(%)or Mean ± SD |
|---|---|
| Sex | |
| Male | 438 (44.65) |
| Female | 543 (55.35) |
| Age (year) | 28.063 ± 9.451 |
| Education level | |
| Middle school and below | 71 (7.24) |
| High school/technical secondary school | 81 (8.26) |
| Junior college | 150 (15.29) |
| Bachelor’s degree | 490 (49.95) |
| Master’s degree and above | 189 (19.27) |
| Occupation | |
| Student | 349 (35.58) |
| Worker | 22 (2.24) |
| Farmer | 3 (0.31) |
| Self-employed | 50 (5.10) |
| Employee of enterprise or institution | 442 (45.06) |
| Retired | 5 (0.51) |
| Unemployed | 25 (2.55) |
| Other | 85 (8.66) |
| Place of residence | |
| City | 816 (83.18) |
| Countryside or town | 165 (16.82) |