Table 6.
Multivariate Logistic Regression Analysis Results for Predicting High eHealth Literacy Among Internet Users (n = 101).
| Odds ratio | 95% confidence limits | p value | |
|---|---|---|---|
| Personal characteristics | |||
| Ethnicity: White (vs. minority) | 1.18 | [0.40, 3.47] | .77 |
| Computer characteristics | |||
| Number of e-devices: 2 or more (vs. 1) | 2.04 | [0.67, 6.23] | .21 |
| Frequency of Internet use: ⩾ 1/day (vs. < 1/day) | 1.06 | [0.37, 3.03] | .91 |
| No computer stress (vs. any stress) | |||
| Health knowledge and attitudes | 3.05 | [1.13, 8.23] | .03 |
| General health literacy: Adequate (vs. inadequate) | 1.12 | [0.39, 3.25] | .84 |
| Prefer to rely on doctor’s knowledge for medical decision making | 0.62 | [0.24, 1.62] | .33 |
| Number of ways tries to find information about health conditions | 1.41 | [0.99, 1.99] | .053 |