Table 1
Regression coefficients for models predicting standardised rates of poor health in English Lower Super Output Areas
| All areas | Urban high income | Urban low income | Suburban high income | Suburban low income | Rural high income | Rural low income | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| β | p Value | β | p Value | β | p Value | β | p Value | β | p Value | β | p Value | β | p Value | |
| Greenspace coefficients in bold are those that demonstrate lower rates of poor health associated with higher levels of greenspace. Those in italics demonstrate higher rates of poor health associated with higher levels of greenspace | ||||||||||||||
| Greenspace (%) | –0.021 | <0.000 | –0.05 | <0.000 | –0.02 | <0.000 | 0.014 | 0.448 | 0.044 | <0.000 | 0.032 | 0.092 | –0.06 | 0.002 |
| Income deprivation | 0.243 | <0.000 | ||||||||||||
| Employment deprivation | 0.495 | <0.000 | 0.566 | <0.000 | 0.683 | <0.000 | 0.535 | <0.000 | 0.693 | <0.000 | 0.478 | <0.000 | 0.558 | <0.000 |
| Education, skills and training deprivation | 0.170 | <0.000 | 0.268 | <0.000 | 0.22 | <0.000 | 0.292 | <0.000 | 0.235 | <0.000 | 0.276 | <0.000 | 0.295 | <0.000 |
| Barriers to housing and services | 0.006 | 0.018 | 0.024 | <0.000 | 0.097 | <0.000 | –0.09 | <0.000 | –0.05 | <0.000 | –0.1 | <0.000 | –0.07 | <0.000 |
| Crime | 0.067 | <0.000 | 0.113 | <0.000 | 0.039 | <0.000 | 0.043 | 0.017 | 0.021 | 0.105 | 0.021 | 0.266 | 0.055 | 0.003 |
| Urbanity | –0.028 | <0.000 | ||||||||||||
| R2 | 0.8398 | 0.589 | 0.684 | 0.481 | 0.797 | 0.405 | 0.676 | |||||||
| No of areas | 32482 | 13873 | 12512 | 1661 | 1490 | 1833 | 1113 | |||||||
