It’s not what’s on the outside that counts: deep “hidden” fat around organs and in the liver may silently injure arteries, according to a new McMaster-led study that redefines how we assess obesity and cardiovascular risk.

Researchers have developed a measure called polygenic risk score that can predict the risk of adult obesity from childhood. This genetic analysis can help to identify children as well as adolescents at higher genetic risk of developing obesity in later life.

In an article recently published in Pnas, Duke researchers point to higher caloric intake as the primary driver of obesity worldwide, suggesting that diet rather than idleness plays the bigger role in the global obesity crisis.

The authors of a recent paper have revealed that changing the consumption-driven nature of our food systems would significantly benefit public health and the climate.

Scientists have revealed in a study that overeating falls into five distinct patterns: Take-out feasting, evening restaurant reveling, evening craving, uncontrolled pleasure eating, and stress-driven evening nibbling.

A survey has revealed that more than 80 % of the respondents mentioned that the cost of groceries is important when choosing a weight-loss plan, but only 6 % said they will try a plant-based or vegan diet, which research shows is among the least expensive and most effective for losing weight and keeping it off.

Researchers at Helmholtz Munich and the Technical University of Munich have developed fast-RSOM, a non-invasive imaging technology that visualises the smallest blood vessels through the skin and can detect early signs of cardiovascular disease long before clinical symptoms appear.

The Physicians Committee for Responsible Medicine has requested the federal government of the USA to educate Americans about the difference between healthful and unhealthful processed foods. It also shares that the leading health risks for Americans are meat and dairy products.

A new study has revealed that if one follows an unprocessed food diet, they will eat more but still consume fewer calories as compared to an ultra-processed food diet.

A large-scale study shows that AI-powered body composition scans can reveal hidden fat patterns and predict diabetes and heart disease risk with greater accuracy — opening the door to new tools for early prevention.