Thursday, August 22, 2019
News

Friend circle more predictive of your health than Fitbit

   SocialTwist Tell-a-Friend    Print this Page   COMMENT

New York | Tuesday, 2019 8:45:05 PM IST
To get a better reading on your overall health and wellness, you should be better off looking at the strength and structure of your circle of friends, says a study.

According to the study published in the journal PLOS ONE, the researchers were interested in what the structure of social networks says about the state of health, happiness and stress.

"What we found was the social network structure provides a significant improvement in predictability of wellness states of an individual over just using the data derived from wearables, like the number of steps or heart rate," said the study lead author Nitesh V. Chawla, a researcher of Indian origin from University of Notre Dame in the US.

For the study, participants wore Fitbit to capture health behaviour data -- such as steps, sleep, heart rate and activity level and completed surveys and self-assessments about their feelings of stress, happiness and positivity.

The research team then analysed the data, using machine learning, alongside an individual's social network characteristics, including degree, centrality, clustering coefficient and number of triangles.

The study showed a strong correlation between social network structures, heart rate, number of steps and level of activity.

According to the researchers, social network structure provided significant improvement in predicting one's health and well-being compared to just looking at health behaviour data from the Fitbit alone.

For example, when social network structure is combined with the data derived from wearables, the machine learning model achieved a 65 per cent improvement in predicting happiness, 54 per cent improvement in predicting one's self-assessed health prediction, 55 per cent improvement in predicting positive attitude, and 38 per cent improvement in predicting success.

"This study asserts that without social network information, we only have an incomplete view of an individual's wellness state, and to be fully predictive or to be able to derive interventions, it is critical to be aware of the social network structural features as well," Chawla said.

---IANS bu/bc

( 337 Words)

2019-06-18-14:42:06 (IANS)

 
  LATEST COMMENTS ()
POST YOUR COMMENT
Comments Not Available
 
POST YOUR COMMENT
 
 
TRENDING TOPICS
 
 
CITY NEWS
MORE CITIES
 
 
 
MORE HEALTH NEWS
Serious mental disorder in youth may hav...
Self-administered acupressure may help i...
Air pollution linked to premature death ...
Most Delhi hospitals without NOC: Delhi ...
Antibiotics may increase risk of colon c...
over 39 lakh beneficiaries covered under...
More...
 
INDIA WORLD ASIA
Will fight this trumped-up, vindictive a...
Students must play proactive role in dev...
My father's arrest political vendetta: K...
DUSU elections to be held on Sept 12...
Three major cases against Chidambaram...
Death for Tripura youth for minor's rape...
More...    
 
 Top Stories
Protest in Delhi Assembly over Ravi... 
We are no more a democracy: Ghulam ... 
Spotify Premium free trial extended... 
Miley, Kaitlynn send Brody Jenner a... 
Democracy is missing: Mamata after ... 
30 more prisoners from J&K shifted ... 
Ravidas temple row: Bhim Army chief... 
Allow Sikh students wearing 'Kirpan...