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Tuesday 28 July 2015

Your Phone Knows If You’re Depressed

TIME.com stock photos Social Apps iPhone



Phone data could predict with 87% accuracy whether someone had depressive symptoms

Most of us are pretty attached to our phones, and researchers are starting to figure out what that connection can tell us about our health, including our mood. In fact, your phone may be able to tell if you’re depressed even better than a self-assessment of your own depression can, according to a small new study published in theJournal of Medical Internet Research.
“We found that the more time people spend on their phones, the more likely they are to be more depressed,” says David Mohr, one of the authors of the study and director of the Center for Behavioral Intervention Technologies at Northwestern University Feinberg School of Medicine. The researchers also found that spending lots of time at home was linked to depression—and that phone data like this could predict with 87% accuracy whether someone had symptoms of depression.


Northwestern researchers recruited 28 people ages 19-58 from Craigslist and souped up their smartphones with location-and-usage monitoring software. At the start of the study, they took a standardized questionnaire that measures depressive symptoms; half of the subjects had symptoms of depression, and half did not. For two weeks, the phones tracked GPS location information every five minutes and pinged the users with questions about their mood several times a day.
The phone data the researchers collected were rich: how many places the participants visited each day, how much time they spent in each of those places and how frequently they used their phones, says Sohrob Saeb, one of the study’s authors and a postdoctoral fellow and computer scientist in preventive medicine at Feinberg. The researchers then correlated this objective data with their depression test scores.

What they hoped to find was a connection between the objective markers of behavior—such as where the people were and how often they changed locations—and their depression test results. That way, the data derived from phones could become a useful way to track depression without the user having to report how they were feeling, which is often a barrier to depression treatment, says Mohr, who has studied depression for about 20 years. “One of the things that we find over and over again is that people don’t answer questions,” he says. “In apps, they’ll respond to questions for a few days and then get tired of it.”

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