Table 2.

Results from logistic and OLS regressions.

Predictor	Logistic regression		OLS
	Coefficient	S.E.	Coefficient	S.E.
Constant	−11.134∗∗∗	3.497	3.232	4.141
Gender	−1.476∗∗∗	0.194	−1.666∗∗∗	0.236
Age	0.083∗∗∗	0.009	0.064∗∗∗	0.01
Income	0.137	0.278	0.085	0.334
Education	−0.046	0.034	−0.096∗	0.043
Health education	1.169∗∗∗	0.183	0.892∗∗∗	0.218
Membership	0.979∗∗∗	0.185	0.798∗∗∗	0.215
Unemployed	−0.251	0.19	−0.45∗	0.231
Internet	0.467∗∗	0.177	0.571∗∗	0.221
BMI	0.104	0.121	−0.015	0.026
Health status	0.376∗∗∗	0.065	0.258∗∗∗	0.079
Training	0.805∗∗∗	0.185	1.057∗∗∗	0.214
−2 Log likelihood	835.138
Cox & Snell R Square	0.313
Nagelkerke R Square	0.422
Adjusted R Square			0.283

∗p < .05; ∗∗p < .01; ∗∗∗p < .001.