Importance:
People classified by a priori definitions as having metabolically healthy obesity have frequently been found to be at increased risk of mortality, compared with individuals with metabolically healthy normal weight, suggesting these definitions may be insufficient.
Objectives:
To systematically derive a new definition of metabolic health (MH) and investigate its association with cardiovascular disease (CVD) mortality and total mortality.
Design, Setting, And Participants:
In a cohort study using data from the third National Health and Nutrition Examination Survey (NHANES-III), a representative survey using complex multistage probability sampling, anthropometric factors, biomarkers, and blood pressure (BP) associated with total and CVD mortality among participants with obesity were identified with Cox proportional hazards regression. Area under the receiver operating characteristic was calculated to identify predictive factors for mortality to be used to define MH, cutoff levels were determined by the Youden index, and the findings were validated through comparison with the independent UK Biobank cohort, a population-based prospective study. All nonpregnant participants in the databases aged 18 to 75 years with no history of CVD, body mass index greater than or equal to 18.5, and who fasted 6 or more hours before examination in NHANES-III were included; participants in the UK Biobank cohort who did not have blood measurements were excluded. The study was conducted from 2015 to 2020.
Exposures:
Body mass index and MH were defined by the new definition and compared with 3 a priori definitions.
Main Outcomes And Measures:
Cardiovascular disease mortality and total mortality.
Results:
Within the NHANES-III (n = 12 341) cohort, mean (SD) age was 41.6 (29.2) years, 50.7% were women, and mean follow-up was 14.5 (2.7) years. Within the UK Biobank (n = 374 079) cohort, mean (SD) age was 56.2 (8.1) years, 55.1% were women, and mean follow-up was 7.8 (1.0) years. Use of blood pressure (BP)-lowering medication (hazard ratio [HR] for CVD mortality, 2.41; 95% CI, 1.50-3.87 and total mortality, 2.05; 95% CI, 1.47-2.84), diabetes, and several continuous factors were associated with mortality. Of all significant continuous factors, the combination of systolic BP and waist-to-hip ratio showed the highest area under the receiver operating characteristic (CVD mortality: 0.775; 95% CI, 0.770-0.781; total mortality: 0.696; 95% CI, 0.694-0.699). Thus, MH was defined as systolic BP less than 130 mm Hg, no BP-lowering medication, waist-to-hip ratio less than 0.95 for women and less than 1.03 for men, and no self-reported (ie, prevalent) diabetes. In both cohorts, metabolically healthy obesity was not associated with CVD and total mortality compared with metabolically healthy normal weight. For NHANES-III, the hazard ratio was 0.68 (95% CI, 0.30-1.54) for CVD mortality and 1.03 (95% CI, 0.70-1.51) for total mortality. For UK Biobank, the hazard ratio was 1.17 (95% CI, 0.81-1.69) for CVD mortality and 0.98 (95% CI, 0.87-1.10) for total mortality. Regardless of body mass index, all metabolically unhealthy groups displayed increased risks.
Conclusions And Relevance:
This newly proposed definition of MH may identify a subgroup of people with obesity without increased risk of mortality and stratify risks in people who are overweight or normal weight.
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BMJ Open. 2025; 15(1):e087307.
PMID: 39880427
PMC: 11781143.
DOI: 10.1136/bmjopen-2024-087307.
Association of novel metabolic status with asymptomatic intracranial arterial stenosis: A cross-sectional study.
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PMID: 39856246
DOI: 10.1038/s41366-025-01723-7.
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Yuan Y, Haas A, Rosner B, Williams G, McDonnell M, Adler G
Obesity (Silver Spring). 2025; 33(2):321-330.
PMID: 39828424
PMC: 11774662.
DOI: 10.1002/oby.24218.
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Lentejas J, Sandoval M, Evangelista T, Buenaluz-Sedurante M, Velayo C
Acta Med Philipp. 2025; 58(21):90-105.
PMID: 39758295
PMC: 11694039.
DOI: 10.47895/amp.vi0.7315.
Association between lifestyle risk factors and mortality in the Mexico City prospective study.
Ferrero-Hernandez P, ODonovan G, Petermann-Rocha F, Christofaro D, Cristi-Montero C, Marques A
Sci Rep. 2025; 15(1):145.
PMID: 39747527
PMC: 11696717.
DOI: 10.1038/s41598-024-84104-w.
Associations of Metabolically Healthy Obesity and Retinal Age Gap.
Zeng X, Chen R, Bulloch G, Peng Q, Cheng C, He M
Transl Vis Sci Technol. 2024; 13(11):26.
PMID: 39570618
PMC: 11585067.
DOI: 10.1167/tvst.13.11.26.
The Significance of Comprehensive Metabolic Phenotypes in Cancer Risk: A Japan Multi-Institutional Collaborative Cohort Study.
Watanabe T, Nguyen T, Katsuura-Kamano S, Arisawa K, Ishizu M, Unohara T
Cancer Res Commun. 2024; 4(11):2986-2997.
PMID: 39470380
PMC: 11579844.
DOI: 10.1158/2767-9764.CRC-24-0249.
Association between human herpes simplex virus and severe headache or migraine among aged 20-49 years: a cross-sectional study.
Zheng T, Jiang L, Li G, Zeng N, Yu B, Duan S
Front Neurol. 2024; 15:1476863.
PMID: 39440252
PMC: 11493693.
DOI: 10.3389/fneur.2024.1476863.
Genetic influences, lifestyle and psychosocial aspects in relation to metabolically healthy obesity and conversion to a metabolically unhealthy state.
Ojalehto Lindfors E, Lopes De Oliveira T, Reynolds C, Zhan Y, Aslan A, Jylhava J
Diabetes Obes Metab. 2024; 27(1):207-214.
PMID: 39382007
PMC: 11618251.
DOI: 10.1111/dom.16004.
Obesity alters adipose tissue response to fasting and refeeding in women: A study on lipolytic and endocrine dynamics and acute insulin resistance.
Rossmeislova L, Krauzova E, Koc M, Wilhelm M, Sebo V, Varaliova Z
Heliyon. 2024; 10(18):e37875.
PMID: 39328508
PMC: 11425135.
DOI: 10.1016/j.heliyon.2024.e37875.
Trends and characteristics of the metabolically healthy obese phenotype in an Arab population.
Wani K, Kumar B, Al-Daghri N, Sabico S
Front Public Health. 2024; 12:1371359.
PMID: 39145170
PMC: 11322095.
DOI: 10.3389/fpubh.2024.1371359.
Comparison of cardiovascular disease risk association with metabolic unhealthy obesity identified by body fat percentage and body mass index: Results from the 1999-2020 National Health and Nutrition Examination Survey.
Xiong Q, Zhang Y, Li J, An Y, Yu S
PLoS One. 2024; 19(8):e0305592.
PMID: 39141628
PMC: 11324142.
DOI: 10.1371/journal.pone.0305592.
Elevated remnant cholesterol was associated with the increased metabolically unhealthy obesity risk in Chinese youth.
Fang Z, Zhu L, Chen Y, Jin Y, Yao Y
Asia Pac J Clin Nutr. 2024; 33(3):389-396.
PMID: 38965726
PMC: 11397563.
DOI: 10.6133/apjcn.202409_33(3).0009.
Metabolically healthy obesity: from epidemiology and mechanisms to clinical implications.
Schulze M, Stefan N
Nat Rev Endocrinol. 2024; 20(11):633-646.
PMID: 38937638
DOI: 10.1038/s41574-024-01008-5.
New understandings meet old treatments: putting a contemporary face on established protocols.
Byrne S, Fursland A
J Eat Disord. 2024; 12(1):26.
PMID: 38336928
PMC: 10854196.
DOI: 10.1186/s40337-024-00983-4.
Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population.
Zammit M, Agius R, Fava S, Vassallo J, Pace N
Acta Diabetol. 2024; 61(5):555-564.
PMID: 38280973
DOI: 10.1007/s00592-023-02230-9.
Sex Differences in the Atherogenic Risk Index in Healthy Mexican Population and Its Relationship with Anthropometric and Psychological Factors.
Brambila-Tapia A, Davalos-Rodriguez I, Mendez-Garcia C, Barcenas-Robles F, Gutierrez-Hurtado I
J Pers Med. 2023; 13(10).
PMID: 37888063
PMC: 10608136.
DOI: 10.3390/jpm13101452.
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Yu B, Hu M, Jiang W, Ma Y, Ye J, Wu Q
Lipids Health Dis. 2023; 22(1):166.
PMID: 37794463
PMC: 10548646.
DOI: 10.1186/s12944-023-01921-0.
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Deng X, Qiu L, Sun X, Li H, Chen Z, Huang M
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PMID: 37711898
PMC: 10497941.
DOI: 10.3389/fendo.2023.1228300.
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DOI: 10.1186/s12872-023-03452-z.