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. 2022 May 9;24(5):e32006. doi: 10.2196/32006

Table 2.

Final multivariatea generalized ordered logistic regression model showing factors significantly associated with increasing overall engagement during follow-up (categorized as low, moderate, or high platform engagement; N=1238).


ORb (95% CI) P valuec
Variables meeting the proportional odds assumptiond

Country .02


Netherlands (refe) 1 N/Af


France 1.41 (0.98-2.02) .07


Finland 1.55 (1.16-2.06) .003

Trying to change lifestyle? .002


No plans (ref) 1 N/A


Long-term plans 1.20 (0.70-2.07) .51


Short-term plans 2.25 (1.33-3.80) .002


Short-term acting 1.51 (0.92-2.50) .11


Long-term acting 2.02 (1.26-3.25) .004

Computer use in last 4 weeks before baseline visit <.001


None (ref) 1 N/A


<7 hours/week 5.39 (2.66-10.95) <.001


≥7 hours/week 6.58 (3.21-13.49) <.001
Variables not meeting the proportional odds assumptiong

Low engagement (ref) vs moderate and high engagement


Sex (male) 1.20 (0.84-1.72) .31


Cognitive z score 1.67 (1.26-2.21) <.001

Low and moderate engagement (ref) vs high engagement


Sex (male) 0.77 (0.60-0.98) .03


Cognitive z score 0.99 (0.81-1.22) .95

aThe following baseline variables were included in the initial multivariate model but did not remain significantly associated with engagement following a backward stepwise selection procedure: age, education, current smoking, physical status (Short Physical Performance Battery), depressive symptoms (Geriatric Depression Scale), anxiety (Hospital Anxiety and Depression Scale), and nutrition score.

bOR: odds ratio.

cP values in italics are overall Wald tests for categorical variables.

dFor independent variables meeting the proportional odds assumption, the relationship between each pair of outcome categories (ie, moderate and high engagement vs low engagement and high engagement vs low and moderate engagement) is the same; therefore, only 1 OR is calculated per variable.

eref: reference.

fN/A: not applicable.

gFor independent variables not meeting the proportional odds assumption, separate ORs are calculated between each pair of outcome categories.