Comparative Associations of Traditional and New Obesity Framework With Cardio-Kidney-Metabolic Syndrome and All-Cause
Yucheng Yang1,2, Yiwen Liu1,2, Shumeng Han1,2
1Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background:
The Lancet Commission redefined obesity by integrating body mass index (BMI) and anthropometric measures, but it remains unclear if they better identify risk for cardiovascular-kidney-metabolic (CKM) syndrome. We aim to compare the CKM risk and all-cause mortality predicted by these new criteria against traditional BMI-based criteria.
Methods:
Using Cox models to investigate the associations between different obesity phenotypes, which were normal weight, Anthropometric excess adiposity & Traditionally-defined non-obesity, Traditionally-defined obesity & Non-anthropometric excess adiposity, and excess adiposity by both criteria, with Anthropometric excess adiposity by the anthropometric criteria alone, Traditionally-defined obesity by BMI alone, and CKM syndrome and mortality in the UK Biobank. We further compared whether the anthropometric diagnostic sub-categories were associated with different levels of risk.
Results:
Among 352 740 participants (mean age 56.8 years; 56% female) with a median follow-up of 13.2 years, compared to normal weight, the "Anthropometric excess adiposity & Traditionally-defined non-obesity" (HR 1.55, 95% CI 1.52-1.59) and "Traditionally-defined obesity & Non-anthropometric excess adiposity" (HR 1.61, 95% CI 1.29-2.02) exhibited similarly elevated risks for CKM syndrome. Those meeting both criteria had the highest risk (HR 2.61, 95% CI 2.56-2.66) for CKM syndrome. Anthropometric excess adiposity had an increased CKM risk (HR 2.00, 95% CI 1.96-2.04), which was lower than that for Traditionally-defined obesity (HR 2.45, 95% CI 2.41-2.49). Among the anthropometric sub-categories, the three BMI-inclusive definitions yielded similar HRs for CKM risk, which were higher than those of Traditionally-defined obesity and the non-BMI sub-categories.
Conclusion:
By incorporating central adiposity, the anthropometric criteria improve CKM risk stratification by identifying high-risk individuals overlooked by traditional standards, especially those with adverse body composition despite lower BMI.
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