INSURASALES

New Obesity Definitions and Staging Systems Enhance Risk Stratification Beyond BMI

For over 50 years, obesity classification has predominantly relied on body mass index (BMI), a measure of weight relative to height. The traditional BMI criteria define obesity at a BMI of 30 or higher, divided into class I, II, and III based on severity. However, BMI has significant limitations as it does not distinguish fat from muscle, nor does it account for body shape, metabolic health, or organ dysfunction caused by adiposity. This restricts the accuracy of BMI as a sole metric for obesity risk stratification and clinical decision-making.

Recognizing these shortcomings, the Lancet Commission introduced a more nuanced definition of obesity that includes direct measures of adiposity and multiple anthropometric assessments such as waist circumference and waist-to-hip ratio. This framework differentiates between preclinical obesity (no evident organ dysfunction) and clinical obesity (presence of organ damage or physical limitation). The Commission also recommends ethnicity-specific criteria to better identify obesity-related risks in diverse populations.

To further refine severity classification, staging systems like the Edmonton Obesity Staging System (EOSS) integrate clinical factors including comorbidities, physical limitations, and mental health into five progressive stages ranging from no obesity-related complications to end-stage disease. EOSS aligns obesity evaluation with chronic disease management approaches used in conditions such as heart failure and cancer, accounting for the multifactorial nature of obesity.

Evidence demonstrates that EOSS is a stronger predictor of mortality, cardiovascular events, and healthcare utilization than BMI alone. This highlights its potential utility in guiding treatment prioritization and resource allocation. However, EOSS is intended as a complementary tool, not a diagnostic replacement.

The article illustrates practical examples contrasting the traditional BMI classification with Lancet and EOSS frameworks. This combined approach allows more personalized obesity diagnosis and prognosis by incorporating functional health status and disease burden.

Despite the advantages of these updated classifications, challenges remain, including clinical adoption, guideline integration, and operational complexity. Alternative frameworks like cardiovascular–kidney–metabolic syndrome models also exist, emphasizing organ-specific impacts of obesity.

Populations with lower BMI but increased adiposity, such as older adults and certain ethnic groups, particularly benefit from enhanced screening using these comprehensive criteria. This approach may identify candidates more precisely for emerging pharmacologic and surgical obesity treatments.

Widespread clinical use of staging systems like EOSS is currently limited. Further research and consensus are needed to evaluate their impact on clinical outcomes and public health policy. Integration into medical education and healthcare workflows could support their broader application.

In summary, evolving obesity definitions and staging systems mark a significant advancement in characterizing disease severity beyond BMI. They offer an improved framework for personalized risk evaluation and management in a chronic disease increasingly contributing to morbidity and mortality. Ongoing investigation will determine their role in transforming obesity clinical care and policy.