Table 3.
Buffer effect of parkland on the association between the COVID-19 epidemic and mental wellbeing (DV = Mental stress index).
| Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | |
|---|---|---|---|---|---|---|
| Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | |
| Independent variables | ||||||
| Lockdown (ref: No lockdown) | 0.054(0.060) | 0.021(0.027) | 0.015(0.027) | 0.015(0.027) | 0.012(0.027) | 0.012(0.027) |
| The geographical distance to Wuhan city | −0.104***(0.027) | −0.124***(0.030) | −0.109***(0.027) | −0.099***(0.028) | −0.104***(0.027) | −0.104***(0.027) |
| The number of COVID-19 infections | 0.009(0.014) | 0.011(0.014) | 0.036(0.019) | 0.011(0.014) | 0.010(0.014) | 0.012(0.014) |
| The proportion of migrants from Hubei province | −0.001(0.002) | −0.001(0.002) | −0.001(0.002) | −0.001(0.004) | −0.001(0.002) | −0.001(0.002) |
| Work resumption rate | −0.279**(0.133) | −0.281**(0.139) | −0.229**(0.113) | −0.313**(0.151) | −0.399**(0.189) | −0.305**(0.134) |
| Travel index within the city | −0.010**(0.005) | −0.014**(0.006) | −0.019**(0.009) | −0.016**(0.008) | −0.017**(0.009) | −0.036**(0.018) |
| The proportion of parkland (ref: Q1) | ||||||
| Q2 | −0.085**(0.040) | −0.080**(0.035) | −0.059**(0.027) | −0.084**(0.035) | −0.080**(0.035) | −0.071**(0.036) |
| Q3 | −0.100**(0.043) | −0.080**(0.037) | −0.061**(0.030) | −0.085**(0.037) | −0.082**(0.037) | −0.075**(0.038) |
| Q4 | 0.074(0.052) | 0.066(0.046) | 0.034(0.046) | 0.057(0.045) | 0.055(0.046) | 0.048(0.046) |
| Interaction term | ||||||
| The proportion of parkland (ref: Q1)×Lockdown (ref: No lockdown) | ||||||
| Q2×Lockdown (ref: No lockdown) | −0.026(0.076) | |||||
| Q3×Lockdown (ref: No lockdown) | −0.059(0.076) | |||||
| Q4×Lockdown (ref: No lockdown) | −0.058(0.078) | |||||
| The proportion of parkland (ref: Q1)×The geographical distance to Wuhan city | ||||||
| Q2×The geographical distance to Wuhan city | −0.046(0.040) | |||||
| Q3×The geographical distance to Wuhan city | −0.018(0.051) | |||||
| Q4×The geographical distance to Wuhan city | −0.095*(0.050) | |||||
| The proportion of parkland (ref: Q1)×The number of COVID-19 infections | ||||||
| Q2×The number of COVID-19 infections | −0.042*(0.022) | |||||
| Q3×The number of COVID-19 infections | −0.041(0.027) | |||||
| Q4×The number of COVID-19 infections | −0.032(0.024) | |||||
| The proportion of parkland (ref: Q1)×The proportion of migrants from Hubei province | ||||||
| Q2×The proportion of migrants from Hubei province | −0.001(0.004) | |||||
| Q3×The proportion of migrants from Hubei province | −0.001(0.005) | |||||
| Q4×The proportion of migrants from Hubei province | 0.000(0.004) | |||||
| The proportion of parkland (ref: Q1)×Work resumption rate | ||||||
| Q2×Work resumption rate | −0.087(0.387) | |||||
| Q3×Work resumption rate | −0.674**(0.333) | |||||
| Q4×Work resumption rate | 0.078(0.452) | |||||
| The proportion of parkland (ref: Q1)×Travel index within the city | ||||||
| Q2×Travel index within the city | −0.044(0.046) | |||||
| Q3×Travel index within the city | −0.099**(0.047) | |||||
| Q4×Travel index within the city | 0.041(0.055) | |||||
| R2 | 0.276 | 0.285 | 0.285 | 0.275 | 0.275 | 0.279 |
| AIC | −103.287 | −106.71 | −106.711 | −102.682 | −102.869 | −104.254 |
Note: Models adjusted for all covariates. Coef. = coefficient; SE = standard error; AIC = Akaike information criterion. *p < 0.10, **p < 0.05, ***p < 0.01.