Table 2 Logistic regression results (reported odds-ratios and 95%confidence intervals)

(Intercept)

0.12

0.35

10.82

1.51

[0.01, 1.32]

[0.09, 1.35]

[0.94, 142.89]

[0.37, 6.15]

Age

1.01

0.98***

1

0.99

[1, 1.03]

[0.97, 0.99]

[0.99, 1.02]

[0.99, 1]

Gender [base = male]

0.79

1.26

1.17

1.34*

[0.46, 1.33]

[0.95, 1.67]

[0.75, 1.84]

[1, 1.78]

Level of education

0.67*

0.95

0.99

0.79*

[0.47, 0.99]

[0.79, 1.14]

[0.73, 1.34]

[0.65, 0.96]

Subjective health

0.87

1.24*

1.38*

0.75**

[0.65, 1.16]

[1.04, 1.49]

[1.03, 1.87]

[0.62, 0.91]

exp_videocall [base = no]

4.02***

2.14***

3.85***

0.74

[2.21, 7.49]

[1.53, 3.01]

[2.33, 6.47]

[0.52, 1.06]

Level of digitization

1.29

0.9

0.11***

1.28

[0.62, 2.64]

[0.57, 1.41]

[0.04, 0.27]

[0.8, 2.07]

Data misuse

0.92*

0.93**

0.92*

0.94**

[0.85, 1]

[0.89, 0.98]

[0.86, 0.98]

[0.9, 0.98]

Fears of malware

1.78***

1.06

0.95

0.85*

[1.37, 2.36]

[0.92, 1.22]

[0.78, 1.16]

[0.73, 0.98]

Trust

1.93***

1.34***

1.72***

1.15**

[1.62, 2.33]

[1.22, 1.47]

[1.49, 2.01]

[1.04, 1.26]

1000

1000

1000

1000

AIC

398.4

1093.2

504.6

1047.2

BIC

447.5

1142.3

553.6

1096.2

Log.Lik.

− 189.19

− 536.59

− 242.28

− 513.58

RMSE

0.26

0.48

0.32

0.43