August 30, 2025
New tools can predict which children will probably become obese

New tools can predict which children will probably become obese

Scientists have developed a new tool that can predict the risk of a child to become obese in adulthood.

The test could help identify children and adolescents who could benefit from a younger age of targeted preventive strategies such as nutrition and exercise.

The new test, which analyzes the DNA from a blood sample, is considered twice so effective that obesity predicts the previous best test.

Not only can it predict how well -obtained adults will react to targeted weight loss programs.

“What makes the score so powerful is his ability to predict whether a child will probably develop obesity in adults long before other risk factors later shape his weight in childhood. At that time, deputy Professor Roelof Smit from the University of Copenhagen and the leading author, which was published in the research in the research publish themselves in the research published in research in which in the in the Natural medicine.

The global obesity federation expects more than half of the world’s population to become overweight or obese by 2035.

Scientists from all over the world have used data from more than five million people to create a genetic test, which is called a polygener risk score to predict obesity (Getty Images/Istockphoto).Scientists from all over the world have used data from more than five million people to create a genetic test, which is called a polygener risk score to predict obesity (Getty Images/Istockphoto).

Scientists from all over the world have used data from more than five million people to create a genetic test, which is called a polygener risk score to predict obesity (Getty Images/Istockphoto).

Scientists from all over the world have used data from more than five million people to create a genetic test, which is called a polygener risk score to predict obesity (Getty Images/Istockphoto).

In England, almost 65 percent of adults over the age of 18 are overweight or obese, while about one of eight children between two and 10 years in England are obese, according to NHS.

Although there are opportunities to combat obesity, e.g. B. through nutrition, exercise, operation and medication, these options are not always available and do not work for everyone.

Research for the study included cooperation with consumer genetics and research society 23Andme and the contributions of more than 600 scientists from 500 institutions worldwide. Features such as human height and Body Mass Index were found and collected in the data.

Experts say that subtle variations in our genetics can affect our health, including the probability of developing obesity and even our appetite.

Scientists were based on the genetic data of more than five million people - the largest and most diverse genetic data set of all time (Getty Images/iStockphoto)Scientists were based on the genetic data of more than five million people - the largest and most diverse genetic data set of all time (Getty Images/iStockphoto)

Scientists were based on the genetic data of more than five million people – the largest and most diverse genetic data set of all time (Getty Images/iStockphoto)

Scientists were based on the genetic data of more than five million people – the largest and most diverse genetic data set of all time (Getty Images/iStockphoto)

A polygener risk score is like a calculator that combines the effects of the different risk variants that a person bears and provides an overall rating.

In order to achieve the score, the scientists relyed on the genetic data of more than five million people – the largest and most diverse genetic data set ever. Then they tested the new risk value for obesity on data records of the physical and genetic properties of more than 500,000 people.

“This new polygene score is a dramatic improvement in the predictive power and a leap forward in the genetic prediction of the risk of obstacle, which brings us much closer to the clinically useful gene tests,” said Professor Ruth Loos of CBMR at the University of Copenhagen.

It examined the relationship between the genetic risk of a person for obesity and the effects of lifestyle interventions such as nutrition and exercise.

Scientists found that those with a higher genetic risk of obesity reacted more to interventions, but also increased quickly after these interventions ended.

However, the new test has its limits. Although it was based on the genetics of the world population, it was far better to predict obesity in people with European ancestors than in people with African ancestors.

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