Scientific proof: The more cramped the place, the more likely it is to become obese

Data from AI, satellite images and surveys in 6 US cities show that too crowded also causes obesity.

Two researchers from the University of Washington found a way to estimate obesity levels in American cities without looking at people.

The couple has trained an AI with algorithms that can find out the relationship between infrastructure and degree of obesity by satellite images and Google Street Views. By understanding how city planning affects obesity, health campaigns can rely on it to improve people's health. This research has been mentioned in an article posted on the JAMA Network Open.

Should live in places with lots of trees, wide space to ensure health.

Their algorithms are trained by more than 150,000 satellite images of 6 cities, 96 favorite destinations of residents such as supermarkets, grocery stores and pet stores. It was then correlated with the obesity rate surveyed in each city. It is easily recognizable, some locations have a certain effect on the neighborhood's activity: There is a lot of people who walk their dogs over other places.

Not surprisingly, the results showed that: The area has more green space for walking or the distance between buildings is farther than normal, the rate of obesity is lower than seen.

Even, there are signs that the wealthy neighborhoods have lower obesity rates but mainly because of space.

Although this study is based only on data collected in the United States, this algorithm may not work properly in another country. Differences in culture, lifestyle and many other factors can be misleading.