A deep learning model can predict the risk for obesity for young children using only routinely collected electronic health record (EHR) data.

In a little over two decades, almost 260 million people in the United States are predicted to have overweight or obesity, ...

The honor recognizes an early-career investigator who has demonstrated a significant contribution in furthering the understanding of the causes, consequences, treatment or prevention of childhood ...

By Dr. Samir Softic and Dr. Aurelia Radulescu University of Kentucky In the United States, one in five children are obese.

The RESPOND trial adapted to COVID-19 disruptions by shifting to a cluster-parallel randomized design, enabling analysis ...

For decades, researchers from all obesity-related disciplines have been observing the escalating prevalence of people living ...

One in nine 10 to 11-year-olds in Elmbridge are obese or severely obese, new figures show – meaning the area has one of the ...

New statistics have revealed that one in six 10 to 11-year-olds in Buckinghamshire are obese or severely obese.

A research report by the World Innovation Summit for Innovation (WISH), the global health initiative of Qatar Foundation ...

Massachusetts, which has lower rates than other states, has still seen increases especially among young adults.

The data is from the Government’s national child measurement programme, which covers mainstream state-maintained schools in ...