| COVID-19 outbreak | −1.397*** | −0.990*** | −0.892*** |
| Age (base=20s) | | | |
| 30s (30~39) | 0.453*** | 0.619*** | 0.455*** |
| 40s (40~49) | 0.688*** | 0.943*** | 0.690*** |
| 50s (50~59) | 1.166*** | 1.276*** | 1.173*** |
| 60s (60~69) | 1.180*** | 1.442*** | 1.186*** |
| Age*COVID-19 | | | |
| 30s (30~39) | | -0.430 | |
| 40s (40~49) | | -0.615* | |
| 50s (50~59) | | -0.318 | |
| 60s (60~69) | | -0.610* | |
| Gender (male=1) | 0.103 | 0.104 | 0.104 |
| Children (with children=1) | 0.229* | 0.232* | 0.230* |
| Job (office job=1) | −0.119 | −0.118 | −0.118 |
| Education (base=not enrolled in university) | | | |
| Enrolled in or graduated from university | 0.588*** | 0.596*** | 0.589*** |
| Enrolled in or graduated from graduate school | 0.422** | 0.430** | 0.424** |
| Income (base=under 2 million KRW) | | | |
| 2~4 million KRW | 0.587*** | 0.589*** | 0.763*** |
| 4~6 million KRW | 0.638*** | 0.639*** | 0.854*** |
| 6~8 million KRW | 0.607*** | 0.607*** | 0.801*** |
| More than 8 million KRW | 0.711*** | 0.712*** | 1.150*** |
| Income*COVID-19 | | | |
| 2~4 million KRW | | | -0.464 |
| 4~6 million KRW | | | -0.550 |
| 6~8 million KRW | | | -0.506 |
| More than 8 million KRW | | | -0.996** |
| Residential area (in Seoul Metropolitan area=1) | −0.056 | −0.056 | −0.055 |
| Importance of forest (base=not important) | | | |
| Slightly important | 0.897*** | 0.904*** | 0.899*** |
| Important | 1.144*** | 1.152*** | 1.149*** |
| Very important | 1.095*** | 1.102*** | 1.098*** |
| Constant | −2.305*** | −2.478*** | −2.508*** |
| Obs. | 2000 | 2000 | 2000 |
| LR chi2 (prob > chi2) | 358.44 (0.000) | 363.07 (0.000) | 363.73 (0.000) |
| Pseudo R2 | 0.131 | 0.132 | 0.133 |
| Log likelihood | −1193.354 | −1191.040 | −1190.710 |