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Science Quickly

Healthy Behavior Can Spread Like Illness

Science Quickly

Scientific American

Science

4.41.4K Ratings

🗓️ 20 April 2017

⏱️ 2 minutes

🧾️ Download transcript

Summary

If people run more in New York City, that can push their socially connected counterparts in San Diego to run more as well. Christopher Intagliata reports. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

This is scientific American 60 second science. I'm Christopher in Tagayata.

0:07.0

If your friends are happy, it turns out you're more likely to be happy too.

0:11.0

And if your friends are overweight, that too ups the odds you'll pack on pounds. Those effects

0:16.0

have been shown in studies and now researchers have identified another seemingly contagious quality,

0:21.5

exercise.

0:23.0

The investigators analyze the running activity of more than a million individuals worldwide,

0:27.7

who used an exercise tracking device for five years, and they used weather patterns as a way to randomly examine different parts of

0:35.2

that global network. If it happens to be a really nice day out, sunny and not too hot

0:41.3

not too cool, then that will induce people to run more.

0:45.6

Sinan Aral, a computational social scientist at MIT.

0:49.4

If it's a rainy day and cold that will induce people to stay in more on average.

0:55.6

He says since different cities have different weather patterns, this natural experiment allowed

1:00.1

them to ask, does a rainy day in New York affect running in San Diego?

1:04.7

If the weather in New York causes changes in the running behavior in San Diego,

1:12.0

it can really only be happening through peer

1:15.0

influence of the friends who live between New York and San Diego.

1:21.6

And that is exactly what he and his colleagues saw, that the behavior of one city's

1:26.0

runners could indeed affect the behavior of runners in another socially connected city.

1:31.3

The studies in the journal Nature Communications.

1:34.0

A few caveats. Women tended to be influenced more by the female runners in their networks,

1:39.0

and less active runners tended to influence more active runners to run more but not so much the

1:44.9

other way around. Still this could be valuable intel for health professionals.

...

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