Table 5.

Hierarchical regression analysis for variables predicting 2 clusters of web-based health activities (n=405).

Explanatory variables	Looking for information from peers (health Web 2.0)a			Health-related web-based self-trackingb
	B (SE)	β	B (SE)		β
Age	0.001 (0.002)	.028	0.003 (0.002)		.067
Education	−0.002 (0.010)	−.009	0.021 (0.013)		.081
Gender (men)	0.031 (0.028)	.047	−0.056 (0.036)		−.076
Marital status (not married)	0.112 (0.033)	.147c	0.033 (0.041)		.039
Offline health care use	0.030 (0.008)	.174c	0.027 (0.010)		.143d
Chronic ailments (none)	0.013 (0.024)	.024	0.024 (0.031)		.041
Information seeking for family and friends	0.061 (0.010)	.297c	0.047 (0.012)		.206c
Internet experience	−0.001 (0.002)	−.012	0.003 (0.003)		.056
Internet use frequency	0.011 (0.014)	.034	0.026 (0.018)		.077
eHealth literacy	0.117 (0.018)	.305c	0.041 (0.023)		.098

^aR²=0.34; F_10,395=19.91 (P<.001).

^bR²=0.15; F_10,395=6.91 (P<.001).

^cP<.001.

^dP<.01.