Doctors worldwide should diagnose obesity differently, relying on broader criteria and taking into account when the condition causes ill-health, according to a new framework drawn up by experts and endorsed by 76 medical organizations internationally.

Obesity is typically assessed by measuring someone's body mass index, but now researchers are calling for a more nuanced approach that could help with treatment

A panel of health experts looking at obesity announced that the definition of the condition should be split into two categories and diagnosed differently.

The recommendations also put forth two new diagnosis categories: clinical obesity and pre-obesity. The first describes people with evidence of health conditions caused by excess weight, such as heart disease. The latter refers to people at risk of developing a health condition due to their level of body fat.

The BMI, a weight-to-height ratio, has been criticised as too simplistic as it cannot distinguish between fat and muscle mass. Read more at straitstimes.com.

A new framework endorsed by 76 medical organizations proposes a revised method for diagnosing obesity. Experts suggest using broader criteria beyond BMI, introducing categories for 'clinical' and 'pre-clinical' obesity.

The Lancet Global Commission report recommends a revised method for diagnosing obesity beyond just BMI. This approach includes using measures like waist circumference and waist-to-hip ratio. The study introduces 'clinical' and 'pre-clinical' obesity categories for accurate diagnosis and resource allocation,

Learn how your BMI can help identify if your obesity poses serious health risks and what steps to take for better outcomes.

India updates its 15-year-old obesity guidelines moving beyond BMI to focus on belly fat and health risks Learn how these changes redefine obesity and improve diagnosis

A group of international doctors, including those from the University Hospitals of Geneva, says the body mass <a target=_blank href=

According to the researchers, the healthcare sector, online medical repositories and hospitals were generating vast amounts of data, providing valuable resources for researchers to explore and leverag