New tool can identify children who are likely to become obese in adulthood
DENMARK, JUL 21 – The polygenic risk score predicts childhood obesity risk twice as effectively as previous methods using genetic data from over five million people, aiding early prevention efforts.
- About 5.4 million Pakistani school-aged children will be obese by 2030, according to the World Obesity Federation, in a study published Monday in Nature Medicine.
- The international research team created a polygenic risk score by analyzing genetic data from over five million people, significantly advancing obesity prediction capabilities.
- In predictive tests, the polygenic risk score explains almost 17% of body mass index variation and is twice as effective as the previous best method, highlighting its potential for early obesity risk prediction.
- Assistant Professor Roelof Smit said, 'Intervening at this point could theoretically make a huge impact,' while the finding enables targeted lifestyle interventions for at-risk children.
- In Pakistan, Macter International Limited signed partnerships with the Capital Development Authority, OlaDoc, Marham, Sehat Kahani and Lions Club, enabling obesity prevention programs across medical facilities.
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New tool can identify children who are likely to become obese in adulthood
It is hoped the discovery could one day lead to targeted help for youngsters at highest risk.
Genetic test predicts obesity in childhood
What if we could prevent people from developing obesity? The World Obesity Federation expects more than half the global population to develop overweight or obesity by 2035. However, treatment strategies such as lifestyle change, surgery and medications are not universally available or effective.
Genetic test predicts obesity in childhood – RamaOnHealthcare
What if we could prevent people from developing obesity? The World Obesity Federation expects more than half the global population to develop overweight or obesity by 2035. However, treatment strategies such as lifestyle change, surgery and medications are not universally available or effective.By drawing on genetic data from over five million people, an international team [...]
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