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. 2020 Jun 1;22(6):e17253. doi: 10.2196/17253

Table 6.

Multivariate logistic regression modela of factors associated with use of apps or specific software to support memory in caregivers.

Variables Estimate SE z P value ORb 95% CI VIFc
Intercept 0.089 0.683 0.131 .90


Age –0.038 0.007 -5.441 <.001 0.962 0.949-0.976 1.519
Female gender (male=reference) 0.069 0.199 0.346 .73 1.072 0.725-1.585 1.068
Education level (elementary school=reference)


<.001

1.180

Secondary school 0.828 0.252 3.279 .001 2.289 1.395-3.754

Higher education 0.960 0.257 3.738 <.001 2.611 1.579-4.319
Living arrangement (children=reference)


.43



1.375

Single 0.080 0.386 0.208 .83 1.083 0.508-2.311

Spouse/partner 0.332 0.298 1.113 .27 1.394 0.777-2.502

Other –0.052 0.337 –0.153 .88 0.950 0.491-1.838
Country: Sweden (Spain=reference) –0.126 0.225 –0.561 .57 0.881 0.567-1.370 1.327
Caregiver Burden (ZBI-12d) 0.023 0.011 2.084 .04 1.023 1.001-1.046 1.141
Quality of life (EQ5De) –0.540 0.429 –1.259 .21 0.582 0.251-1.351 1.194

aHosmer and Lemeshow goodness of fit test P=.68.

bOR: odds ratio.

cVIF: variance inflation factor.

dZBI-12: Zarit Caregiver Burden Interview.

eEQ5D: EuroQoL-5D-3L.