Editorial: Measuring Obesity: The Need for Simplicity

Obesity, traditionally defined by the body mass index (BMI), is now recognized as a chronic, multifactorial disease characterized by excess adiposity that impairs organ function. The 2025 Lancet Commission advocates a function-oriented framework, moving beyond isolated BMI and incorporating measures of fat distribution such as waist circumference (WC) and waist-to-height ratio (WHtR). However, applying global criteria directly to the Indian population presents significant challenges. The prevalent “thin-fat” phenotype among Indians, high visceral adiposity, and insulin resistance at lower BMIs necessitate lower, ethnicity-specific anthropometric cutoffs to accurately predict cardiometabolic risk. Existing global BMI thresholds significantly underestimate obesity prevalence and risk in India, overlooking the metabolically obese normal-weight (MONW) phenotype, which affects 15%–30% of the population. A simplified, primary care-focused classification for India is proposed, combining BMI > 23 WHtR (>0.5) and the presence of complications. This approach aims to enhance early risk stratification and guide interventions, particularly in resource-constrained settings, while acknowledging the need for consensus and validation through large-scale, longitudinal Indian studies to fully optimize diagnostic and prognostic utility.

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Journal
International journal of clinical metabolism and diabetes.
Published
2026-02-27
DOI
https://doi.org/10.1177/30502071261418081
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Editorial: Measuring Obesity: The Need for Simplicity

V. Mohan, Manoj Chawla, Kumaravel Velayutham, Lakshmi Nagendra et al.
International journal of clinical metabolism and diabetes.
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Editorial: Measuring Obesity: The Need for Simplicity

V. Mohan, Manoj Chawla, Kumaravel Velayutham, Lakshmi Nagendra, Krishna G. Seshadri, Shashank R. Joshi
article en

Abstract

Obesity, traditionally defined by the body mass index (BMI), is now recognized as a chronic, multifactorial disease characterized by excess adiposity that impairs organ function. The 2025 Lancet Commission advocates a function-oriented framework, moving beyond isolated BMI and incorporating measures of fat distribution such as waist circumference (WC) and waist-to-height ratio (WHtR). However, applying global criteria directly to the Indian population presents significant challenges. The prevalent “thin-fat” phenotype among Indians, high visceral adiposity, and insulin resistance at lower BMIs necessitate lower, ethnicity-specific anthropometric cutoffs to accurately predict cardiometabolic risk. Existing global BMI thresholds significantly underestimate obesity prevalence and risk in India, overlooking the metabolically obese normal-weight (MONW) phenotype, which affects 15%–30% of the population. A simplified, primary care-focused classification for India is proposed, combining BMI > 23 WHtR (>0.5) and the presence of complications. This approach aims to enhance early risk stratification and guide interventions, particularly in resource-constrained settings, while acknowledging the need for consensus and validation through large-scale, longitudinal Indian studies to fully optimize diagnostic and prognostic utility.

International journal of clinical metabolism and diabetes.
JSS Academy of Higher Education and Research (IN), Apollo Hospitals (IN), Lilavati Hospital & Research Centre (IN), Government Rajaji Hospital (IN), Madras Diabetes Research Foundation (IN), Diabetes Care and Research Foundation (IN), Apollo Hospitals (IN), Dr. Mohan's Diabetes Specialities Centre (IN), Dr. Kovil's Diabetes Care Centre (IN)
Openalex Percentile: Top 43%
Diabetes, Cardiovascular Risks, and Lipoproteins
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