Table 6.
Multinomial logistic regression resultsa.
| Characteristics | Traditional trackers, n=307 | Digital trackers, n=121 | |||
|
|
ORb (95% CI) | P value | ORb (95% CI) | P value | |
| Intercept | N/Ac | <.001 | N/A | <.001 | |
| Gender | |||||
|
|
Female | 1.176 (0.761-1.817) | .47 | 1.144 (0.656-1.996) | .63 |
| Region | |||||
|
|
Atlantic provinces | 1.342 (0.582-3.094) | .49 | 1.098 (0.379-3.183) | .86 |
|
|
Quebec | 1.896 (0.983-3.658) | .06 | 1.322 (0.585-2.988) | .50 |
|
|
Ontario | 1.503 (0.828-2.729) | .18 | 1.001 (0.478-2.096) | >.99 |
|
|
Prairies | 1.270 (0.487-3.309) | .62 | 0.793 (0.220-2.861) | .72 |
|
|
Alberta | 6.053 (1.719-21.312) | .005 | 4.914 (1.221-19.775) | .03 |
| Education | |||||
|
|
Primary and secondary school | 1.064 (0.539-2.102) | .66 | 0.623 (0.274-1.616) | .37 |
|
|
College/CEGEP | 1.371 (0.686-2.738) | .37 | 0.623 (0.541-2.960) | .59 |
|
|
University undergraduate | 1.270 (0.675-2.392) | .46 | 0.832 (0.571-2.675) | .59 |
| Occupation | |||||
|
|
Full-time employment | 1.078 (0.181-6.422) | .93 | 0.633 (0.099-4.438) | .67 |
|
|
Part-time employment | 1.972 (0.342-11.375) | .45 | 0.799 (0.118-5.404) | .82 |
|
|
Retired | 1.596 (0.333-7.649) | .56 | 0.699 (0.139-3.525) | .66 |
| Perceived health condition | |||||
|
|
Very poor/ poor | 0.524 (0.240-1.14) | .10 | 0.734 (0.275-1.955) | .54 |
|
|
Fair or good | 1.094 (0.692-1.730 | .70 | 1.249 (0.697-2.240) | .45 |
| ≥1 chronic disease(s) | 0.439 (0.281-0.686) | <.001 | 0.431 (0.245-0.758) | .003 | |
aReference category: nontrackers (n=254).
bOR: odds ratio.
cN/A: not applicable.