Table 4.
Hierarchical regression analysis for variables predicting 2 clusters of web-based health activities (n=405).
| Explanatory variables | Instrumental and administrative information seekinga | Information sharing (health Web 2.0)b | ||
| B (SE) | β | B (SE) | β | |
| Age | 0.001 (0.002) | −.012 | 0.000 (0.001) | −.01 |
| Education | 0.008 (0.014) | .027 | −0.009 (0.007) | −.069 |
| Gender (men) | 0.002 (0.04) | .002 | −0.03 (0.019) | −.073 |
| Marital status (not married) | 0.056 (0.05) | .057 | 0.011 (0.021) | .026 |
| Offline health care use | 0.021 (0.01) | .092c | 0.02 (0.05) | .167d |
| Chronic ailments (none) | 0.031 (0.033) | .045 | −0.024 (0.016) | −.081 |
| Information seeking for family and friends | 0.073 (0.013) | .271e | −0.015 (0.006) | .13d |
| Internet experience | 0.002 (0.003) | .024 | 0.001 (0.002) | .032 |
| Internet use frequency | 0.037 (0.019) | .093c | 0.014 (0.009) | .083 |
| eHealth literacy | 0.126 (0.025) | .254e | 0.001 (0.012) | .005 |
aR2=0.26; F10,395=14.08 (P<.001).
bR2=0.6; F10,394=2.59 (P=.005).
cP<.05.
dP<.01.
eP<.001.