Table 3.
Predicting behavioral responses during COVID-19 pandemic (N = 3000).
| Recommended preventive behaviors |
Excessive preventive behaviors |
|||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| Variables | b [95% CI] | b [95% CI] | b [95% CI] | b [95% CI] | b [95% CI] | b [95% CI] |
| Age | −0.02 [−0.04, 0.01] | −0.02 [−0.05, 0.01] | −0.03 [−0.05, 0.00] | −0.16 [−0.19, −0.13] | −0.16 [−0.18, −0.13] | −0.14 [−0.16, −0.11] |
| Sex(1 = female) | −0.04 [−0.02, 0.09] | 0.04 [−0.02, 0.09] | 0.03 [−0.02, 0.09] | −0.12 [−0.18, −0.06] | −0.11 [−0.17, −0.06] | −0.10 [−0.15, −0.04] |
| Education | 0.03 [0.00, 0.06] | 0.02 [−0.01, 0.05] | 0.03 [0.00, 0.05] | −0.01 [−0.04, 0.02] | 0.00 [−0.03, 0.03] | −0.00 [−0.03, 0.02] |
| Marital status (1 = married) | 0.29 [0.22, 0.36] | 0.29 [0.22, 0.36] | 0.30 [0.23, 0.37] | 0.13 [0.05, 0.21] | 0.13 [0.05, 0.20] | 0.09 [−0.01, 0.16] |
| Areas (1 = urban) | −0.06 [−0.12, 0.00] | −0.06 [−0.12, −0.00] | −0.06 [−0.12, 0.00] | −0.02 [−0.09, 0.04] | −0.02 [−0.08, 0.04] | −0.03 [−0.10, 0.03] |
| Income | 0.08 [0.04, 0.11] | 0.07 [0.04, 0.10] | 0.08 [0.04, 0.11] | 0.02 [−0.01, 0.06] | 0.03 [−0.01, 0.06] | 0.02 [−0.01, 0.06] |
| Government trust | 0.21 [0.18, 0.25] | 0.19 [0.15, 0.22] | 0.22 [0.18, 0.25] | 0.07 [0.03, 0.10] | 0.09 [0.05, 0.12] | 0.02 [−0.02, 0.06] |
| Knowledge | 0.21 [0.18, 0.25] | −0.25 [−0.29, −0.22] | ||||
| Know*trust | 0.03 [−0.02, 0.07] | −0.09 [−0.14, −0.05] | ||||
| Negative emotion | −0.07 [−0.09, 0.04] | 0.22 [0.19, 0.24] | ||||
| Emotion*trust | −0.06 [−0.09, −0.03] | 0.06 [0.03, 0.09] | ||||
| Constant | 2.57 [2.37, 2.76] | 2.63 [2.44, 2.82] | 2.61 [2.41, 2.80] | 2.49 [2.28, 2.69] | 2.42 [2.22, 2.62] | 2.40 [2.21, 2.60] |
| R2 (%) | 8.10 | 12.30 | 9.70 | 5.70 | 11.30 | 14.60 |