Table 3.
Socioeconomic analysis and level of eHealth literacy in China.
| Variables | n (%) | 8-Item Score | |
|---|---|---|---|
| 352 (100) | Mean ± SD | ||
| Sex | Male | 187 (53.1) | 29.19 ± 6.63 |
| Female | 165 (46.9) | 28.75 ± 6.27 | |
| Age | 18–25 | 124 (35.2) | 29.84 ± 6.79 |
| 26–35 | 137 (38.9) | 28.64 ± 6.26 | |
| 36–45 | 56 (15.9) | 28.39 ± 6.16 | |
| 46–55 | 30 (8.5) | 27.80 ± 6.27 | |
| Over 55 | 5 (1.4) | 30.80 ± 7.04 | |
| Education | Primary & secondary school | 2 (0.6) | 20.00 ± 5.66 |
| Junior high | 9 (2.6) | 28.67 ± 3.64 | |
| High school | 22 (6.3) | 25.73 ± 7.67 | |
| College or bachelor | 238 (67.6) | 29.22 ± 6.55 | |
| Master degree or above | 81 (23.0) | 29.43 ± 5.77 | |
| Resident *** | Guangdong | 129 (36.6) | 28.63 ± 6.60 |
| Others | 223 (63.2) | 29.46 ± 6.48 | |
| Occupation | Business | 180 (51.5) | 28.74 ± 6.54 |
| Student | 63 (17.9) | 30.60 ± 5.50 | |
| Self-employed | 34 (9.7) | 29.60 ± 6.45 | |
| Public servant | 29 (8.2) | 29.96 ± 4.82 | |
| Clinicians | 27 (7.7) | 26.25 ± 5.33 | |
| Others | 19 (5.4) | 24.95 ± 9.36 | |
| Income (RMB) | less than 1000 | 55 (15.6) | 29.35 ± 5.55 |
| 1000–3000 | 50 (14.2) | 29.32 ± 6.69 | |
| 3001–5000 | 85 (24.1) | 28.61 ± 6.94 | |
| 5001–7000 | 75 (21.3) | 28.59 ± 6.49 | |
| 7001 & above | 87 (24.7) | 29.26 ± 6.44 | |
Note: *** significant at the p < 0.001 probability level.