Table 4.
Buffer effect of parkland on the association between the COVID-19 epidemic and mental wellbeing (DV = Suicide index).
| Model 9 | Model 10 | Model 11 | Model 12 | Model 13 | Model 14 | |
|---|---|---|---|---|---|---|
| Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | Coef. (SE) | |
| Independent variables | ||||||
| Lockdown (ref: No lockdown) | 0.016(0.017) | 0.017(0.012) | 0.014(0.012) | 0.014(0.012) | 0.014(0.012) | 0.014(0.012) |
| The geographical distance to Wuhan city | −0.036***(0.012) | −0.039***(0.013) | −0.029**(0.012) | −0.035***(0.013) | −0.035***(0.012) | −0.043***(0.012) |
| The number of COVID-19 infections | −0.011**(0.005) | −0.012**(0.006) | −0.013**(0.007) | −0.011**(0.005) | −0.010**(0.005) | −0.011**(0.005) |
| The proportion of migrants from Hubei province | 0.003***(0.001) | 0.003***(0.001) | 0.003***(0.001) | 0.003**(0.001) | 0.002***(0.001) | 0.002***(0.001) |
| Work resumption rate | −0.055(0.104) | −0.049(0.102) | −0.076(0.104) | −0.054(0.103) | 0.006(0.141) | −0.029(0.103) |
| Travel index within the city | −0.014(0.013) | −0.013(0.013) | −0.011(0.013) | −0.014(0.013) | −0.018(0.013) | −0.033**(0.017) |
| The proportion of parkland (ref: Q1) | ||||||
| Q2 | −0.013(0.018) | −0.006(0.016) | −0.004(0.016) | −0.010(0.016) | −0.011(0.016) | −0.014(0.016) |
| Q3 | −0.031*(0.019) | −0.032**(0.016) | −0.024*(0.014) | −0.031*(0.016) | −0.033**(0.016) | −0.038**(0.017) |
| Q4 | −0.059**(0.023) | −0.057***(0.020) | −0.056***(0.021) | −0.058***(0.020) | −0.062***(0.020) | −0.063**(0.020) |
| Interaction term | ||||||
| The proportion of parkland (ref: Q1)×Lockdown (ref: No lockdown) | ||||||
| Q2×Lockdown (ref: No lockdown) | −0.043(0.034) | |||||
| Q3×Lockdown (ref: No lockdown) | −0.017(0.034) | |||||
| Q4×Lockdown (ref: No lockdown) | −0.068**(0.032) | |||||
| The proportion of parkland (ref: Q1)×The geographical distance to Wuhan city | ||||||
| Q2×The geographical distance to Wuhan city | 0.029(0.018) | |||||
| Q3×The geographical distance to Wuhan city | −0.017(0.023) | |||||
| Q4×The geographical distance to Wuhan city | 0.017(0.022) | |||||
| The proportion of parkland (ref: Q1)×The number of COVID-19 infections | ||||||
| Q2×The number of COVID-19 infections | 0.003(0.010) | |||||
| Q3×The number of COVID-19 infections | −0.005(0.012) | |||||
| Q4×The number of COVID-19 infections | −0.019**(0.009) | |||||
| The proportion of parkland (ref: Q1)×The proportion of migrants from Hubei province | ||||||
| Q2×The proportion of migrants from Hubei province | 0.001(0.002) | |||||
| Q3×The proportion of migrants from Hubei province | −0.001(0.002) | |||||
| Q4×The proportion of migrants from Hubei province | −0.001(0.002) | |||||
| The proportion of parkland (ref: Q1)×Work resumption rate | ||||||
| Q2×Work resumption rate | −0.178(0.172) | |||||
| Q3×Work resumption rate | 0.178(0.192) | |||||
| Q4×Work resumption rate | −0.194(0.200) | |||||
| The proportion of parkland (ref: Q1)×Travel index within the city | ||||||
| Q2×Travel index within the city | −0.004(0.020) | |||||
| Q3×Travel index within the city | −0.052**(0.022) | |||||
| Q4×Travel index within the city | 0.040(0.024) | |||||
| R2 | 0.445 | 0.454 | 0.455 | 0.445 | 0.453 | 0.462 |
| AIC | −580.341 | −585.145 | −585.777 | −580.426 | −584.884 | −589.601 |
Note: Models adjusted for all covariates. Coef. = coefficient; SE = standard error; AIC = Akaike information criterion. *p < 0.10, **p < 0.05, ***p < 0.01.