Table 3.
Logistic regression analysis examining predictor variables of participant interest in health-related email communication.
| Independent Variable | exp (B)a | P valueb |
| Age category | 1.16 | .16 |
| Sex | 1.15 | .67 |
| More education | 0.00 | >.99 |
| Less education | 0.00 | >.99 |
| Employed | 0.73 | .33 |
| Use of text messaging | 3.72 | <.001c |
| Frequently checks email | 0.42 | <.001c |
| Personal email | 8.29 | .03d |
| Overall satisfaction with current communication | 1.00 | >.99 |
aExponentiation of the B coefficient (odds ratio).
bControlling for all other independent variables in the model.
cStatistically significant, P<.01.
dStatistically significant, P<.05.