How built environment correlates with risk of cardiovascular disease

Their findings show that these factors can predict 63% of the variation in the risk of coronary heart disease from one area to another.

Researchers say that using Google Street View can help provide an overview of physical environmental risk factors in the built and natural environments that could help not only in understanding risk factors in these environments, but ultimately help towards building or adapting towns and cities to make them healthier places to live.

The study included more than half a million Google Street View images of Detroit, Michigan; Kansas City, Missouri; Cleveland, Ohio; Brownsville, Texas; Fremont, California; Bellevue, Washington State; and Denver, Colorado. Researchers also collected data on rates of coronary heart disease according to 'census tracts'. These are areas smaller than a US zip code that are home to an average of 4,000 people.

"We've shown that we can use computer vision approaches to help identify environmental factors influencing cardiovascular risk and this could play a role in guiding heart-healthy urban planning. The fact that we can do this at scale is something that is absolutely unique and important for urban planning."

"The study by Chen and colleagues presents a novel and more comprehensive evaluation of the built environment. This work creatively leverages Google's panoramic street-view imagery that supplements its widely used map application. Reducing TV Viewing to Less Than One Hour a Day Could Help Prevent More Than One in Ten Cases of Coronary Heart Disease

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