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

A deep learning model can predict the risk for obesity for young children using only routinely collected electronic ...

Obesity in the United States has continued to rise for decades even in the face of increased awareness and access to healthy ...

The association between gestational organophosphate ester (OPE) exposure and obesity in childhood is mixed, according ...

Exposure to organophosphate esters (OPEs)—chemicals found in everyday products that use plastics and flame retardants—during ...

Childhood maltreatment — especially physical abuse and neglect — was associated with increased risks for adulthood obesity and type 2 diabetes.

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

3 in the Journal of the American Medical Association to coincide with the annual meeting of The Obesity Society (ObesityWeek) ...

As a result, she and her colleagues developed a computer model that uses advanced machine learning to reliably predict ...

Restricting the number of new fast food cuts child obesity, suggests new research. Planning policies to limit outlets selling ...