Table 2.
Nodes requiring preprocessing with their values as used in the Bayesian network model.
| Nodesa | Range | n (%) | |
| Emotions |
|
|
|
|
|
Negative | 1.00 to 3.73 | 200 (20) |
|
|
Slightly negative | 3.73 to 4.44 | 201 (20) |
|
|
Neutral | 4.44 to 5.17 | 201 (20) |
|
|
Slightly positive | 5.17 to 5.94 | 196 (20) |
|
|
Positive | 5.94 to 7.00 | 200 (20) |
| Support sources |
|
|
|
|
|
Very low | –1.43 to –0.64 | 206 (21) |
|
|
Low | –0.64 to –0.22 | 193 (19) |
|
|
Moderate | –0.22 to 0.16 | 200 (20) |
|
|
High | 0.16 to 0.63 | 199 (20) |
|
|
Very high | 0.63 to 1.66 | 200 (20) |
| Digital engagement |
|
|
|
|
|
No | –1.00 to 0.00 | 129 (13) |
|
|
Low | 0.00 to 11.00 | 173 (17) |
|
|
Medium | 11.00 to 17.00 | 400 (40) |
|
|
High | 17.00 to 24.00 | 296 (30) |
| Health literacy |
|
|
|
|
|
Low | 2.33 to 7.17 | 216 (22) |
|
|
Below average | 7.17 to 8.17 | 214 (21) |
|
|
Average | 8.17 to 8.83 | 200 (20) |
|
|
Above average | 8.83 to 9.50 | 206 (21) |
|
|
High | 9.50 to 10.0 | 162 (16) |
aNodes not requiring preprocessing are parity, support level, physical activity, nutrition, and stress management, which are reported in the text and Table 1.