Metabolically healthy obesity and risk of mortality: does the definition of metabolic health matter? 2013

Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
INSERM, Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Villejuif Cedex, France. guy-marino.hinnouho@inserm.fr

OBJECTIVE To assess the association of a "metabolically healthy obese" phenotype with mortality using five definitions of metabolic health. METHODS Adults (n = 5,269; 71.7% men) aged 39-62 years in 1991 through 1993 provided data on BMI and metabolic health, defined using data from the Adult Treatment Panel-III (ATP-III); criteria from two studies; and the Matsuda and homeostasis model assessment (HOMA) indices. Cross-classification of BMI categories and metabolic status (healthy/unhealthy) created six groups. Cox proportional hazards regression models were used to analyze associations with all-cause and cardiovascular disease (CVD) mortality during a median follow-up of 17.7 years. RESULTS A total of 638 individuals (12.1% of the cohort) were obese, of whom 9-41% were metabolically healthy, depending on the definition. Regardless of the definition, compared with metabolically healthy, normal-weight individuals, both the metabolically healthy obese (hazard ratios [HRs] ranged from 1.81 [95% CI 1.16-2.84] for ATP-III to 2.30 [1.13-4.70] for the Matsuda index) and the metabolically abnormal obese (HRs ranged from 1.57 [1.08-2.28] for the Matsuda index to 2.05 [1.44-2.92] for criteria defined in a separate study) had an increased risk of mortality. The only exception was the lack of excess risk using the HOMA criterion for the metabolically healthy obese (1.08; 0.67-1.74). Among the obese, the risk of mortality did not vary as a function of metabolic health apart from when using the HOMA criterion (1.93; 1.15-3.22). Similar results were obtained for cardiovascular mortality. CONCLUSIONS For most definitions of metabolic health, both metabolically healthy and unhealthy obese patients carry an elevated risk of mortality.

UI MeSH Term Description Entries
D007333 Insulin Resistance Diminished effectiveness of INSULIN in lowering blood sugar levels: requiring the use of 200 units or more of insulin per day to prevent HYPERGLYCEMIA or KETOSIS. Insulin Sensitivity,Resistance, Insulin,Sensitivity, Insulin
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D009765 Obesity A status with BODY WEIGHT that is grossly above the recommended standards, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).
D005260 Female Females
D006113 United Kingdom Country in northwestern Europe including Great Britain and the northern one-sixth of the island of Ireland, located between the North Sea and north Atlantic Ocean. The capital is London. Great Britain,Isle of Man
D006262 Health The state of the organism when it functions optimally without evidence of disease. Individual Health,Normalcy,Normality,Health, Individual,Normalcies,Normalities
D006706 Homeostasis The processes whereby the internal environment of an organism tends to remain balanced and stable. Autoregulation
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

Related Publications

Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
May 2014, Diabetes care,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
May 2021, JAMA network open,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
August 2016, Clinical endocrinology,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
June 2016, Nutrients,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
February 2024, Diabetes/metabolism research and reviews,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
May 2018, Journal of the American College of Cardiology,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
January 2022, Frontiers in nutrition,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
October 2014, Current atherosclerosis reports,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
August 2023, European journal of internal medicine,
Guy-Marino Hinnouho, and Sébastien Czernichow, and Aline Dugravot, and G David Batty, and Mika Kivimaki, and Archana Singh-Manoux
September 2014, Metabolism: clinical and experimental,
Copied contents to your clipboard!