Abstract:
Background
In view of circulatory diseases, most previous studies focused on the impacts of air pollution and meteorological factors, while ignoring the influence of built environment.
Objective
To investigate and quantify the impact of built environment on circulatory diseases in China.
Methods
Circulatory disease mortality data and built environment data (including urban greenery coverage, urban land use, urban land use mix, urban road facilities and urban medical facilities) of 17 cities in China from 2000 to 2019 were collected. Multiple linear regression was used to analyze which built environment elements had significant influence on circulatory diseases, and to quantify their effects. Furthermore, the changes of built environment indicators on circulatory disease mortality were evaluated under different levels of urban economic development and various air quality.
Results
The built environment affected the mortality of circulatory diseases during the study period (P<0.05). Urban green space and commercial land area were negatively correlated with circulatory disease mortality, and regression coefficients were −0.550 and −0.280, respectively (P<0.05). On the contrary, the increase of urban road area, residential land ratio, and the degree of land use mix were positively associated with circulatory disease mortality, and their regression coefficients were 0.322, 0.283, and 0.176, respectively (P<0.05). When the level of urban economic development was low, the impact of commercial land use ratio on circulatory diseases was stronger, and the regression coefficient was −0.476 (P<0.05). When urban air pollution worsened, the impacts of per capita green coverage area and per capita urban road area on the disease were more prominent, and the regression coefficients were −0.528 and 0.372, respectively (P<0.05).
Conclusion
There is a significant correlation between urban built environment and mortality of circulatory diseases. To be specific, circulatory disease mortality has a negative correlation with per capita green coverage area and commercial land use ratio, and a positive correlation with per capita urban road area, residential land ratio and degree of land use mix.
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