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It's a new way to predict obesity researchers say that the key is in newborn babies John Roberts is on this -- today is -- in Atlanta and good morning John.
Martha good morning to you -- 70% of children in the United States are obese now it's tripled in the last three decades -- something needs to be done to identify them earlier researchers.
At the imperial college in London had to come up with a very simple calculator.
Sounds too good to be true perhaps but they say it's got an 80% accuracy all you need to know is the parents body mass index which you could easily calculate online.
The child's birth -- the number of people in the household whether mom smoked in mom's profession.
-- profession you -- here's -- reason why let's look at scenario number one.
Pure -- BMI of 24 that's -- the high side of normal to people in the house so bomb did not smoke baby came candidate point eight pounds mom is a professional or entrepreneur or.
The probability of obesity for that child is 2.2 1% -- watch this change -- profession to unskilled apprentice are unemployed.
The number skyrockets to fifteen point 19% the reason why.
People children of lower income households tend to eat less healthy foods much more what it was sugar more fast foods.
And put on weight more rapidly -- what happens if mom smokes let's look at this an area.
BMI of thirty for the parents that's borderline obese to members of the household.
Mom is a skilled manual worker she doesn't smoke -- baby -- 35 point 21% probability.
That child will be obese but if mom smokes look at this it -- to 50% to one other parameter.
Number of people in the household same BMI thirty number of people in the household changes.
Although we don't we -- it did for its twelve point 79% which is less than if it were it to the reason why researchers are particularly sure but they think it may be a greater chance for physical exercise.
-- I just came up with this formula by looking at 4000 people in Finland over 25 years they say that socio environmental factors.
-- much more accurate predictor of potential obesity and even genetic risk factors were marked wow very interesting.
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