February 5, 2025
BMI alone doesn’t tell the full story of obesity. Discover why experts recommend additional metrics like waist-to-height ratio, body composition scans, and new obesity classifications for a more accurate health assessment.
Body Mass Index (BMI) has long been the standard metric for diagnosing obesity. By comparing weight to height, BMI categorises individuals into ranges like “normal weight,” “overweight,” or “obese.” However, experts increasingly argue that BMI oversimplifies obesity and fails to capture its complexity. Instead of relying solely on this one-dimensional measure, they recommend a more comprehensive approach that includes additional metrics to provide a fuller picture of health risks.
BMI does not distinguish between fat mass, muscle mass, or where fat is distributed on the body. It also overlooks other factors like metabolic health, genetics, and lifestyle. While BMI can provide a general indication of health risk, it may misclassify some people. For example, an athletic person with high muscle mass could be categorised as overweight, while someone with a normal BMI but high abdominal fat might still face significant health risks.
To address these limitations, experts recommend incorporating the following measures:
This simple metric measures abdominal fat, which is closely linked to the risk of metabolic diseases.
Ideal Waist Circumference
This metric compares the circumference of your waist to your hips, providing insight into fat distribution and cardiovascular risk.
Ideal WHR
WHR of 1.0 or higher increases the risk of heart disease and other conditions.
A newer measure that may be a better predictor of health outcomes than BMI. Divide your waist circumference by your height (both in cm) to calculate the ratio.
Risk Levels
These scans measure fat mass, muscle mass, and bone mass, offering a detailed understanding of body composition.
Normal Fat Mass
Higher fat mass is associated with increased adiposity and greater risk of inflammatory diseases such as cardiovascular disease, type 2 diabetes, and stroke.
Experts propose introducing two new categories of obesity: clinical obesity and pre-clinical obesity. These categories shift the focus from weight alone to a broader understanding of health and risk.
This category includes individuals with clear obesity-related health issues, such as breathlessness, joint pain, or heart failure. It recognises obesity as a chronic condition with significant impacts on health and daily life.
This applies to individuals who do not yet have obesity-related illnesses but face a higher risk of developing them. While they may not show physical symptoms, they are at elevated risk for conditions like heart disease, stroke, and type 2 diabetes.
The classification of obesity as a disease has been debated for years. Some argue it is a risk factor for other conditions, while others see it as a chronic disease requiring medical intervention.
Professor Rubino, Chair of the Global Commission on Clinical Obesity, offers a more nuanced view:
“The question of whether obesity is a disease is flawed. Obesity can act as a chronic condition with pathological consequences in some cases.”
Dr Terri-Lynne South agrees, highlighting the complexity of obesity. She believes the new categories will help practitioners address both the risks and the chronic nature of obesity more effectively.
The Global Commission’s recommendations aim to improve how obesity is managed by focusing on personalised, evidence-based care. A comprehensive approach to obesity goes beyond BMI and includes metabolic health. Research shows that stabilising glucose levels can support weight management by improving fat metabolism and reducing cravings.
Dr South emphasises that these changes may destigmatise obesity, leading to better patient outcomes.
The use of tools like continuous glucose monitors (CGMs) and personalised health data holds great promise. These advancements could revolutionise how we manage obesity and related conditions, improving both physical and mental health for millions of people.
By expanding the metrics used to assess obesity, healthcare providers can gain a more accurate understanding of individual health risks, paving the way for tailored interventions that make a real difference.
Vively is an innovative metabolic health app that integrates with CGMs to provide people with the tools and support to optimise their lifestyle and metabolic health long-term.
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BMI alone doesn’t tell the full story of obesity. Discover why experts recommend additional metrics like waist-to-height ratio, body composition scans, and new obesity classifications for a more accurate health assessment.
Body Mass Index (BMI) has long been the standard metric for diagnosing obesity. By comparing weight to height, BMI categorises individuals into ranges like “normal weight,” “overweight,” or “obese.” However, experts increasingly argue that BMI oversimplifies obesity and fails to capture its complexity. Instead of relying solely on this one-dimensional measure, they recommend a more comprehensive approach that includes additional metrics to provide a fuller picture of health risks.
BMI does not distinguish between fat mass, muscle mass, or where fat is distributed on the body. It also overlooks other factors like metabolic health, genetics, and lifestyle. While BMI can provide a general indication of health risk, it may misclassify some people. For example, an athletic person with high muscle mass could be categorised as overweight, while someone with a normal BMI but high abdominal fat might still face significant health risks.
To address these limitations, experts recommend incorporating the following measures:
This simple metric measures abdominal fat, which is closely linked to the risk of metabolic diseases.
Ideal Waist Circumference
This metric compares the circumference of your waist to your hips, providing insight into fat distribution and cardiovascular risk.
Ideal WHR
WHR of 1.0 or higher increases the risk of heart disease and other conditions.
A newer measure that may be a better predictor of health outcomes than BMI. Divide your waist circumference by your height (both in cm) to calculate the ratio.
Risk Levels
These scans measure fat mass, muscle mass, and bone mass, offering a detailed understanding of body composition.
Normal Fat Mass
Higher fat mass is associated with increased adiposity and greater risk of inflammatory diseases such as cardiovascular disease, type 2 diabetes, and stroke.
Experts propose introducing two new categories of obesity: clinical obesity and pre-clinical obesity. These categories shift the focus from weight alone to a broader understanding of health and risk.
This category includes individuals with clear obesity-related health issues, such as breathlessness, joint pain, or heart failure. It recognises obesity as a chronic condition with significant impacts on health and daily life.
This applies to individuals who do not yet have obesity-related illnesses but face a higher risk of developing them. While they may not show physical symptoms, they are at elevated risk for conditions like heart disease, stroke, and type 2 diabetes.
The classification of obesity as a disease has been debated for years. Some argue it is a risk factor for other conditions, while others see it as a chronic disease requiring medical intervention.
Professor Rubino, Chair of the Global Commission on Clinical Obesity, offers a more nuanced view:
“The question of whether obesity is a disease is flawed. Obesity can act as a chronic condition with pathological consequences in some cases.”
Dr Terri-Lynne South agrees, highlighting the complexity of obesity. She believes the new categories will help practitioners address both the risks and the chronic nature of obesity more effectively.
The Global Commission’s recommendations aim to improve how obesity is managed by focusing on personalised, evidence-based care. A comprehensive approach to obesity goes beyond BMI and includes metabolic health. Research shows that stabilising glucose levels can support weight management by improving fat metabolism and reducing cravings.
Dr South emphasises that these changes may destigmatise obesity, leading to better patient outcomes.
The use of tools like continuous glucose monitors (CGMs) and personalised health data holds great promise. These advancements could revolutionise how we manage obesity and related conditions, improving both physical and mental health for millions of people.
By expanding the metrics used to assess obesity, healthcare providers can gain a more accurate understanding of individual health risks, paving the way for tailored interventions that make a real difference.
Vively is an innovative metabolic health app that integrates with CGMs to provide people with the tools and support to optimise their lifestyle and metabolic health long-term.
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