Table 2.
Hierarchical logistic regression to study whether user characteristics predict differences in delivery mode preference.
| Determinants | Step 1 (R2=0.152)a | Step 2 (R2 =0.186)a | |||||||
|
|
Exp (B) | B | SE | P value | Exp (B) | B | SE | P value | |
| First blockb | |||||||||
| Age | 0.91 | –0.10 | 0.02 | <.001 | 0.91 | –0.10 | 0.02 | <.001 | |
| Genderc | 0.79 | –0.24 | 0.26 | .36 | 0.71 | –0.34 | 0.27 | .21 | |
| Educationd | 1.43 | 0.36 | 0.26 | .17 | 1.32 | 0.28 | 0.27 | .30 | |
| Body mass index | 1.01 | 0.01 | 0.02 | .56 | 1.02 | 0.02 | 0.03 | .48 | |
| Moderate-to-vigorous physical activity | 1.00 | 0.00 | 0.00 | .40 | 1.00 | 0.00 | 0.00 | .49 | |
| Loneliness | 0.87 | –0.14 | 0.06 | .03 | 0.91 | –0.10 | 0.07 | .16 | |
| Second blockb | |||||||||
| Modeling | —e | — | — | — | 0.95 | –0.05 | 0.13 | .71 | |
| Social support | — | — | — | — | 1.46 | 0.38 | 0.14 | .01 | |
| Attitude | — | — | — | — | 0.84 | –0.17 | 0.28 | .54 | |
| Self-efficacy | — | — | — | — | 0.77 | –0.27 | 0.17 | .11 | |
| Intention | — | — | — | — | 1.15 | 0.14 | 0.1 | .19 | |
aExplained variance (Nagelkerke R2).
bPrinted coded 0, Web-based coded 1.
cMen coded 0, women coded 1.
dLow educational attainment coded 0, high educational attainment coded 1.
eNot applicable.