The average daily usage for depressed individuals was about 68 minutes, while
for non-depressed individuals it was about 17 minutes . And monitoring people’s comings and goings using GPS
tracking on their phones also helped track mood. Spending most of your time at
home or at a small number of locations was also linked to depression, as was
having an unregular daily schedule, such as unusual shift patterns.
More than one in 10 people in Britain suffer from anxiety
and depression and the findings could provide an easy way at picking up
problems quickly.
"When people are depressed, they tend to withdraw and
don't have the motivation or energy to go out and do things,” said senior
author David Mohr, director of the Centre for Behavioural Intervention
Technologies at Northwestern University Feinberg School of Medicine.
“The data showing depressed people tended not to go many
places reflects the loss of motivation seen in depression.
"The significance of this is we can detect if a person
has depressive symptoms and the severity of those symptoms without asking them
any questions. Phones can provide data unobtrusively and with no effort on the
part of the user.”
teenagers at street nowadays |
While the phone usage data didn't identify how people were
using their phones, Mohr suspects people who spent the most time on them were
surfing the web or playing games, rather than talking to friends.
Around one in 10 people suffer from anxiety or depression.
"People are likely, when on their phones, to avoid
thinking about things that are troubling, painful feelings or difficult
relationships," Mohr he added: “It's an avoidance behavior we see in
depression."
Based on the phone data, Northwestern scientists could
identify people with depressive symptoms with 87 percent accuracy. They found
it was more reliable than standard questions which asked participants how they
were feeling on a scale of one to 10.
The research could ultimately lead to monitoring people at risk
of depression using their smartphones so that health care providers could
intervene.
The study involved tracking 20 women and eight men with an
average age of 29 for two weeks.
To determine the relationship between phone usage and
geographical location and depression, the subjects took a widely used
standardized questionnaire measuring depression, the PHQ-9, at the beginning of
the two-week study.
The PHQ-9 asks about symptoms used to diagnose depression
such as sadness, loss of pleasure, hopelessness, disturbances in sleep and
appetite, and difficulty concentrating.
Then, lead author Dr Sohrob Saeb developed algorithms using
the GPS and phone usage data collected from the phone, and correlated the
results of those GPS and phone usage algorithms with the subjects' depression
test results.
Last year Microsoft Labs announced it was working on a
programme which would pick up whether a new mother might suffer from post-natal
depression based upon the language she used on social networking sites like
Twitter.
Their algorithm does not depend on the mother talks about
the pregnancy or her baby, but picks up subtle verbal cues which reveal her
underlying unhappiness or anxiety.
General negativity in language, with a rise in the number of
words like 'hate' 'miserable' 'disappointed', increased use of the word 'I' and
a jump in the number of expletives are all clues that a new mum will suffer
post-natal depression.
Look at these people, feeling sad for them? |
Researchers at Northwestern are planning to follow up their
study to see whether getting people to change their behaviour could improve
their mood and alleviate depression.
"We will see if we can reduce symptoms of depression by
encouraging people to visit more locations throughout the day, have a more
regular routine, spend more time in a variety of places or reduce mobile phone
use," Saeb said.
Content courtesy : www.telegraph.co.uk