Wednesday, December 19, 2012

New 'obesity calculator' predicts child's likelihood of being overweight | Reduction

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New 'obesity calculator' predicts child's likelihood of being overweight

Sedentary Lifestyle: Obesity and Computers
Sedentary Lifestyle: Obesity and Computers by FBellon
License (according to Flickr): Attribution License
Excerpt:

Childhood obesity has been on the rise in the United States, a trend that is putting many children at risk for a multitude of health problems – from cardiovascular disease and high blood pressure to early type 2 diabetes. For parents looking to keep their child healthy and physically fit as they grow up, a better understanding of their child’s propensity towards obesity could be an essential tool in helping to keep off the pounds.  But how are parents supposed to know the likelihood their child will be overweight? A new, simple formula could be the key.  Available as an online calculator, an equation developed by researchers at the Imperial College London can very strongly predict a baby’s probability of becoming obese during childhood.

People:

Marjo-Riita Jarvelin

Overall Sentiment: 0.013835

Relevance: 0.392362

SentimentQuote
0“I’ve seen families work hard to change their child’s eating habits, but these should be started much earlier” Jarvelin continued. ...
0.163724“I’ve seen families work hard to change their child’s eating habits, but these should be started much earlier” Jarvelin continued.  “It’s not just what the child eats, but their eating habits and, for example, how mothers and fathers are feeding their children when they are small.  I’ve seen so many different feeding styles.  It’s incredible what parents can do.”
Sentiment Stats:
  • Number of Quotes: 2
  • Aggregate Sentiment: 0.163724
  • Mean: 0.081862
  • Standard Deviation: 0

Jarvlein

Overall Sentiment: 0.509842

Relevance: 0.159798

SentimentQuote
0.252599“These environmental factors are much more important than genetic variants,” Jarvlein continued. ...
Sentiment Stats:
  • Number of Quotes: 1
  • Aggregate Sentiment: 0.252599
  • Mean: 0.252599
  • Standard Deviation: 1.4142135623731

Jarvein

Overall Sentiment: 0

Relevance: 0.153357

SentimentQuote
-0.0746177“If you for example use this calculation model, and then you find out that your child’s risk of becoming obese or overweight is at 70 percent, then we can say for sure that something should be done,” Jarvein said.
-0.102045“If you for example use this calculation model, and then you find out that your child’s risk of becoming obese or overweight is at 70 percent, then we can say for sure that something should be done,” Jarvein said. “The prevention of obesity should be started as early as possible. If child is obese at the age of 6 or 7, it’s difficult to make the child lose weight. You have to work really, really hard.”
Sentiment Stats:
  • Number of Quotes: 2
  • Aggregate Sentiment: -0.1766627
  • Mean: -0.08833135
  • Standard Deviation: 1.7320508075689

Key:

  • Aggregate Sentiment is meant to be an indicator of an individual's overall sentiment.
  • The Mean is meant to be an indicator of an individual's average comment sentiment.
  • The Standard Deviation, when there are enough quotes, will indicate an individual's consistency of sentiment (i.e. a Standard Deviation of 0 would mean they were very consistent in their sentiment and 1 would mean they were very inconsistent).

Note that quote stats are likely to be meaningless beyond the aggregate score due to the tiny sample size. However, they are always provided just in case you find something useful there.

Additional Info:

HealthCondition: obesity

Overall Sentiment: 0.0637075

Relevance: 0.868517

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