Evidence map›Paper›PMID 42224408›Full record

ArticleObesity facts2026

Redefining Obesity and Risk: Extending the 2024 European Association for the Study of Obesity Framework with Morbidity Stratification in the UK Biobank.

Mingliang Tan, Xianming Tang, Wenbin Nan, Zhenyu Peng, Zhenhua Xing

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Article in Obesity facts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Mingliang TanDepartment of Cardiovascular Surgery, Second Xiangya Hospital, Central South University, Changsha, China.
Xianming TangDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Wenbin NanDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Zhenyu PengDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Zhenhua XingDepartment of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China, xing2012x@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 2024 European Association for the Study of Obesity (EASO) framework redefines obesity by incorporating central adiposity and morbidity. However, the phenotypic characterization of risk heterogeneity across the full body mass index (BMI) spectrum under this framework - and its prognostic implications for mortality and cardiovascular outcomes - remain to be elucidated. Therefore, we aimed to evaluate the ability of this new framework to improve phenotypic stratification and describe risk heterogeneity across BMI categories.

methodsIn 451,615 UK Biobank participants (median follow-up, 15.1 years), obesity was defined using (1) the EASO framework (which reclassifies individuals with BMI 25 to <30 kg/m2 into "EASO overweight" [WHtR <0.5 and/or absence of morbidity] and "EASO new obesity" [WHtR ≥0.5 and the presence of at least one morbidity]), and (2) an extended EASO framework incorporating morbidity stratification across all BMI categories. Cox proportional hazards models estimated hazard ratios (HRs) for all-cause mortality and major adverse cardiovascular events (MACE).

resultsApplying the EASO framework reclassified 15.62% of individuals previously categorized as having overweight into the category of people with obesity. Consequently, the prevalence of obesity increased from 24.50% to 40.12%. Two distinct risk patterns emerged: all-cause mortality showed a V-shaped association across adiposity categories, whereas MACE risk increased linearly with higher adiposity. Compared with normal weight, EASO overweight had the lowest mortality (HR 0.82 [95% CI: 0.80-0.84]), while EASO new obesity showed a comparable risk (0.96 [0.94-0.99]). The highest mortality risk was observed in BMI obesity (1.05 [1.02-1.08]). For MACE, EASO overweight had no excess risk (1.04 [0.99-1.09]), whereas both EASO new obesity and BMI obesity faced the highest and most substantial risks, with HRs of 1.35 (1.29-1.42) and 1.38 (1.32-1.45), respectively. When stratified by morbidity, the V-shaped mortality association was preserved and MACE risk remained linear. Individuals with morbidity consistently exhibited higher risks across all adiposity categories, indicating a vertical shift in risk rather than a change in association shape.

conclusionThe EASO framework substantially increases obesity prevalence and better identifies individuals with adverse metabolic and cardiovascular profiles. Morbidity does not alter the overall pattern of mortality and cardiovascular risk across adiposity levels but consistently amplifies absolute risk, supporting a morbidity-integrated approach to obesity phenotyping and risk assessment.

Indexed as

All-cause mortalityEuropean Association for the Study of ObesityMajor adverse cardiovascular eventsMorbidityObesity definition

Identifiers

PMID42224408
PMCPMC13399988

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.