Obesity

Source:  IE

Context: The Lancet Commission has proposed a new definition and diagnostic framework for obesity, moving beyond the outdated reliance on Body Mass Index (BMI).

About Obesity:

About Old Definition and Method:

• Old Definition:
  • Obesity was defined as having a BMI greater than 30 (or greater than 25 for Indians).
  • Overweight was defined as BMI between 25 and 29.9 globally (or 23-24.9 for Indians).
• Old Method:
  • BMI was calculated as weight (kg) divided by height squared (m²).
  • Categorization relied solely on this ratio.
• Issues with Old Method:
  • Inaccurate Diagnosis: Did not account for body fat distribution or muscle mass.
  • Over- and Under-Diagnosis: High BMI in muscular individuals often misclassified as obesity; lean individuals with excess fat went undiagnosed.
  • Ignored Regional Variations: Indians, for example, have higher body fat percentages at lower BMI levels, increasing their risk of conditions like diabetes.

New Proposed Definition:

• Broader Understanding:
  • Obesity is redefined as a chronic illness that alters organ function and can lead to serious health complications, even in the absence of other conditions.
• Focus on Risk Assessment:
  • Introduces the concept of “pre-clinical obesity” where excess body fat exists without current organ dysfunction, allowing for preventive interventions.

About New Proposed Method:

• Multiple Parameters for Body Size:
  • BMI is now just one of several parameters, including:
    1. Waist circumference.
    2. Waist-to-hip ratio.
    3. Waist-to-height ratio.
  • Advanced tools like Dexa scans can also measure body fat directly.
• Holistic Diagnosis:
  • Physicians evaluate physical symptoms (e.g., breathlessness, sleep apnea, joint pain), comorbidities, and limitations in daily life.
• Staged Diagnosis (specific to India):
  • Stage 1 Obesity: BMI > 23, optional waist circumference check, no associated organ dysfunction.
  • Stage 2 Obesity: BMI > 23 with additional body fat parameters and associated health limitations (e.g., diabetes, hypertension).

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