| COVID-19 outbreak | −1.337*** | −0.961*** | −0.738** |
| Age (base=20s) | | | |
| 30s (30~39) | 0.159 | 0.297 | 0.159 |
| 40s (40~49) | 0.579*** | 1.126*** | 0.578*** |
| 50s (50~59) | 0.992*** | 1.282*** | 0.994*** |
| 60s (60~69) | 0.976*** | 1.100*** | 0.977*** |
| Age*COVID-19 | | | |
| 30s (30~39) | | -0.264 | |
| 40s (40~49) | | -0.901*** | |
| 50s (50~59) | | -0.499 | |
| 60s (60~69) | | -0.240 | |
| Gender (male=1) | 0.064 | 0.066 | 0.064 |
| Children (with children=1) | −0.134 | −0.125 | −0.132 |
| Job (office job=1) | 0.054 | 0.060 | 0.056 |
| Education (base=not enrolled in university) | | | |
| Enrolled in or graduated from university | 0.478*** | 0.480*** | 0.477*** |
| Enrolled in or graduated from graduate school | 0.525** | 0.534** | 0.528** |
| Income (base=under 2 million KRW) | | | |
| 2~4 million KRW | 0.427** | 0.420** | 0.430** |
| 4~6 million KRW | 0.483*** | 0.473*** | 0.484*** |
| 6~8 million KRW | 0.621*** | 0.613*** | 0.622*** |
| More than 8 million KRW | 0.289 | 0.280 | 0.291 |
| Residential area (in Seoul Metropolitan area=1) | 0.185* | 0.185* | 0.186* |
| Importance of forest (base=not important) | | | |
| Slightly important | 0.942*** | 0.938*** | 1.081*** |
| Important | 1.597*** | 1.591*** | 2.041*** |
| Very important | 1.730*** | 1.726*** | 2.068*** |
| Importance of forest*COVID-19 | | | |
| Slightly important | | | -0.378 |
| Important | | | -0.877** |
| Very important | | | -0.716** |
| Constant | −1.245*** | −1.446 | −1.508*** |
| Obs. | 2000 | 2000 | 2000 |
| LR chi2 (prob > chi2) | 361.48 (0.000) | 369.56 (0.000) | 368.40 (0.000) |
| Pseudo R2 | 0.145 | 0.148 | 0.148 |
| Log likelihood | −1067.665 | −1063.625 | −1064.207 |