Table 2.
Regression model predicting digital health literacy in bipolar disorder.
| Variable | B (SE) | β | t test | P value | |
| Age | 0.05 (.02) | 0.09 | 2.62 | .01 | |
| Gender (female) | –0.05 (0.54) | –0.003 | –0.09 | .92 | |
| Bipolar disorder diagnosisa | |||||
|
|
Bipolar disorder-II | –0.56 (0.46) | –0.04 | –1.21 | .22 |
|
|
Other bipolar disorder/no formal diagnosis | –2.45 (0.82) | –0.11 | –3.0 | .01 |
| Education levelb | |||||
|
|
Postsecondary | 0.57 (0.66) | 0.04 | 0.87 | .39 |
|
|
Undergraduate | 0.90 (0.60) | 0.07 | 1.50 | .14 |
|
|
Postgraduate | 1.79 (0.70) | 0.11 | 2.56 | .01 |
| Frequency of app usec | |||||
|
|
Up to 2 hours a day | 0.66 (0.84) | 0.05 | 0.78 | .43 |
|
|
2-4 hours a day | 1.20 (0.84) | 0.09 | 1.44 | .15 |
|
|
5 or more hours a day | 0.83 (0.85) | 0.06 | 0.98 | .34 |
| Use of bipolar disorder–related health apps | 1.71 (0.44) | 0.13 | 3.91 | <.001 | |
aBipolar disorder diagnosis variables have the reference category: bipolar disorder-I.
bEducation variables have the reference category: any level of high school.
cFrequency of app use variables have the reference category: less than daily/no use.