Table 7.
Logistic regression analyses testing the associations between use intentions and behaviors.
|
|
New uptake of DMHa program | Previous use of DMH program | |||||||
|
|
ORb (99% CI) | P value | OR (99% CI) | P value | |||||
| Likelihood of using internet intervention | 2.503 (1.413, 4.434) | <.001 c | 2.982 (1.714, 5.187) | <.001 c | |||||
| Education |
|
.34 |
|
.76 | |||||
|
|
Certificate or diploma versus ≤HSd | 1.663 (0.615, 4.498) | .19 | 1.182 (0.482, 2.903) | .63 | ||||
|
|
Bachelor’s degree versus ≤HS | 0.968 (0.312, 3.002) | .94 | 0.841 (0.338, 2.090) | .62 | ||||
|
|
Postgraduate degree versus ≤HS | 0.850 (0.207, 3.487) | .77 | 1.171 (0.387, 3.546) | .71 | ||||
| Employment |
|
.57 |
|
.39 | |||||
|
|
Part time or casual versus full time | 0.967 (0.322, 2.907) | .94 | 0.924 (0.380, 2.251) | .82 | ||||
|
|
Unemployed versus full time | 0.924 (0.195, 4.375) | .90 | 1.442 (0.485, 4.290) | .39 | ||||
|
|
Not in labor force versus full time | 1.607 (0.548, 4.717) | .26 | 1.648 (0.639, 4.250) | .17 | ||||
| Language: English only versus other | 0.680 (0.229, 2.025) | .36 | 1.226 (0.489, 3.074) | .57 | |||||
| Gender: Male versus other | 2.023 (0.867, 4.721) | .03 | 0.779 (0.388, 1.562) | .36 | |||||
| Age (years) | 1.013 (0.987, 1.040) | .20 | 0.942 (0.918, 0.967) | <.001 c | |||||
| Constant | 0.001 (1.413, 4.434) | <.001 | 0.018 (1.714, 5.187) | <.001 | |||||
aDMH: digital mental health.
bOR: odds ratio.
cItalicized values indicate P<.001.
dHS: high school.