Table 4.
Logistic regression models predicting app uptake.
| Model | b | SE | P value | 95% CI | ORa | |||
|
|
|
|
|
Lower | Upper |
|
||
| M1a |
|
|
|
|
|
|
||
|
|
Concern self (T2) | 0.58 | 0.13 | <.001 | 0.32 | 0.84 | 1.78 | |
| M1b |
|
|
|
|
|
|
||
|
|
Concern others (T2) | 0.19 | 0.09 | .03 | 0.02 | 0.37 | 1.21 | |
| M2 |
|
|
|
|
|
|
||
|
|
Concern self (T2) | 0.55 | 0.14 | <.001 | 0.28 | 0.83 | 1.73 | |
|
|
Concern others (T2) | 0.07 | 0.10 | .46 | −0.11 | 0.26 | 1.07 | |
| M3 |
|
|
|
|
|
|
||
|
|
Concern self (T2) | 0.50 | 0.16 | .002 | 0.19 | 0.81 | 1.64 | |
|
|
Concern others (T2) | 0.01 | 0.11 | .92 | −0.21 | 0.24 | 1.01 | |
|
|
Satisfaction with the government | 0.45 | 0.17 | .007 | 0.13 | 0.79 | 1.57 | |
|
|
Not perceiving COVID-19 as a health crisis | −0.35 | 0.13 | .007 | −0.61 | −0.10 | 0.70 | |
|
|
Subsample Switzerland | 0.65 | 0.29 | .02 | 0.09 | 1.22 | 1.91 | |
|
|
Gender female | −0.54 | 0.33 | .10 | −1.19 | 0.09 | 0.58 | |
|
|
Age | −0.03 | 0.01 | .002 | −0.04 | −0.01 | 0.98 | |
|
|
Education (reference: higher education) |
|
|
|
|
|
|
|
|
|
|
Higher education entrance qualification | −1.14 | 0.36 | <.001 | −1.85 | −0.44 | 0.32 |
|
|
|
Vocational training | 0.39 | 0.40 | .33 | −0.38 | 1.21 | 1.48 |
|
|
|
Lower to intermediate secondary education | 0.15 | 0.85 | .86 | −1.47 | 1.96 | 1.17 |
|
|
|
Other/no degree | −0.64 | 1.49 | .67 | −3.96 | 2.69 | 0.53 |
|
|
Political orientation (reference: in the middle) |
|
|
|
|
|
|
|
|
|
|
Extremely or somewhat left wing | 0.05 | 0.34 | .87 | −0.62 | 0.71 | 1.06 |
|
|
|
Extremely or somewhat right wing | −0.80 | 0.51 | .12 | −1.82 | 0.20 | 0.45 |
|
|
|
I do not want to tell | −0.56 | 0.52 | .28 | −1.59 | 0.45 | 0.57 |
aOR: odds ratio.