Table 3: Predicting poor health with scenicness only.

From: Quantifying the Impact of Scenic Environments on Health

 All areasUrbanSuburbanRural
Scenicness−0.008***−0.007**−0.004*−0.011***
Income Deprivation1.691***1.789***1.404***1.023***
Employment Deprivation3.194***3.113***3.318***4.028***
Education Deprivation0.003***0.003***0.004***0.006***
Housing Deprivation−0.001***0.000−0.001***−0.001**
Crime0.009***−0.0040.0070.013***
Living Deprivation0.000***0.001**0.0000.000
AIC−10938−1307−5035−5460
No of observations16907394477815182
  1. Regression coefficients for CAR models predicting standardised rates of poor health using scenicness only. As in Tables 1 and 2, models are built for England as a whole, and for urban, suburban and rural areas separately. A range of socioeconomic deprivation variables are controlled for, and the analysis is carried out at the level of Lower Layer Super Output Areas. Again, lower ratings of scenicness are significantly associated with reports of worse health across England as a whole, as well as across urban, suburban and rural areas. As such, the relationship between scenicness and health is similar to that found in the first model presented in Table 1, in which greenspace is included. *p < 0.05, **p < 0.01, ***p < 0.001.