Rhea Sibal, G Balamurugan, Yitka Graham, Kamal Mahawar
{"title":"Moving away from BMI: a new era of diagnostic criteria in obesity.","authors":"Rhea Sibal, G Balamurugan, Yitka Graham, Kamal Mahawar","doi":"10.1080/17446651.2025.2537160","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Obesity is a chronic, progressive, and heterogeneous disease defined by excess adiposity that impairs health. While Body Mass Index (BMI) remains the most used diagnostic tool, it is increasingly regarded as an inadequate measure of obesity. BMI does not account for inter-individual, including inter-ethnic variation in fat distribution, body composition and metabolic health. These limitations highlight the need for a more nuanced and clinically robust diagnostic framework in obesity.</p><p><strong>Areas covered: </strong>This article examines the shortcomings of BMI as a diagnostic tool and explores a range of alternative metrics, including anthropometric indices, clinical staging systems and direct assessments of adiposity and metabolic dysfunction, drawing on a narrative review of literature from 1950 to 2025 using PubMed. We also review recent international expert consensus statements and updated clinical guidelines from leading health organizations.</p><p><strong>Expert opinion: </strong>Research progress in obesity diagnostics is expected to drive a shift away from BMI toward more clinically useful approaches. Future clinical practice could adopt more personalized management strategies, to guide prevention, diagnosis, and intervention in obesity care.</p>","PeriodicalId":12107,"journal":{"name":"Expert Review of Endocrinology & Metabolism","volume":" ","pages":"403-413"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Endocrinology & Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17446651.2025.2537160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Obesity is a chronic, progressive, and heterogeneous disease defined by excess adiposity that impairs health. While Body Mass Index (BMI) remains the most used diagnostic tool, it is increasingly regarded as an inadequate measure of obesity. BMI does not account for inter-individual, including inter-ethnic variation in fat distribution, body composition and metabolic health. These limitations highlight the need for a more nuanced and clinically robust diagnostic framework in obesity.
Areas covered: This article examines the shortcomings of BMI as a diagnostic tool and explores a range of alternative metrics, including anthropometric indices, clinical staging systems and direct assessments of adiposity and metabolic dysfunction, drawing on a narrative review of literature from 1950 to 2025 using PubMed. We also review recent international expert consensus statements and updated clinical guidelines from leading health organizations.
Expert opinion: Research progress in obesity diagnostics is expected to drive a shift away from BMI toward more clinically useful approaches. Future clinical practice could adopt more personalized management strategies, to guide prevention, diagnosis, and intervention in obesity care.
期刊介绍:
Implicated in a plethora of regulatory dysfunctions involving growth and development, metabolism, electrolyte balances and reproduction, endocrine disruption is one of the highest priority research topics in the world. As a result, we are now in a position to better detect, characterize and overcome the damage mediated by adverse interaction with the endocrine system. Expert Review of Endocrinology and Metabolism (ISSN 1744-6651), provides extensive coverage of state-of-the-art research and clinical advancements in the field of endocrine control and metabolism, with a focus on screening, prevention, diagnostics, existing and novel therapeutics, as well as related molecular genetics, pathophysiology and epidemiology.