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Metabolically healthy obesity: different prevalences using different criteria

Abstract

Objective:

To estimate the prevalence of metabolically healthy obesity (MHO) according to different definitions.

Methods:

Population-based sample of 2803 women and 2557 men participated in the study. Metabolic abnormalities were defined using six sets of criteria, which included different combinations of the following: waist; blood pressure; total, high-density lipoprotein or low-density lipoprotein-cholesterol; triglycerides; fasting glucose; homeostasis model assessment; high-sensitivity C-reactive protein; personal history of cardiovascular, respiratory or metabolic diseases. For each set, prevalence of MHO was assessed for body mass index (BMI); waist or percent body fat.

Results:

Among obese (BMI 30 kg/m2) participants, prevalence of MHO ranged between 3.3 and 32.1% in men and between 11.4 and 43.3% in women according to the criteria used. Using abdominal obesity, prevalence of MHO ranged between 5.7 and 36.7% (men) and 12.2 and 57.5% (women). Using percent body fat led to a prevalence of MHO ranging between 6.4 and 43.1% (men) and 12.0 and 55.5% (women). MHO participants had a lower odd of presenting a family history of type 2 diabetes. After multivariate adjustment, the odds of presenting with MHO decreased with increasing age, whereas no relationship was found with gender, alcohol consumption or tobacco smoking using most sets of criteria. Physical activity was positively related, whereas increased waist was negatively related with BMI-defined MHO.

Conclusion:

MHO prevalence varies considerably according to the criteria used, underscoring the need for a standard definition of this metabolic entity. Physical activity increases the likelihood of presenting with MHO, and MHO is associated with a lower prevalence of family history of type 2 diabetes.

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References

  • Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R et al. (2006). Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med 355, 763–778.

    Article  CAS  PubMed  Google Scholar 

  • Aguilar-Salinas CA, García EG, Robles L, Riaño D, Ruiz-Gomez DG, Garcia-Ulloa AC et al. (2008). High adiponectin concentrations are associated with the metabolically healthy obese phenotype. J Clin Endocrinol Metab 93, 4075–4079.

    Article  CAS  PubMed  Google Scholar 

  • Ärnlöv J, Ingelsson E, Sundström J, Lind L (2010). Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men. Circulation 121, 230–236.

    Article  PubMed  Google Scholar 

  • Brochu M, Tchernof A, Dionne IJ, Sites CK, Eltabbakh GH, Sims EA et al. (2001). What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women? J Clin Endocrinol Metab 86, 1020–1025.

    CAS  PubMed  Google Scholar 

  • Deurenberg P (2001). Universal cut-off BMI points for obesity are not appropriate. Br J Nutr 85, 135–136.

    Article  CAS  PubMed  Google Scholar 

  • Firmann M, Mayor V, Marques-Vidal P, Bochud M, Pécoud A, Hayoz D et al. (2008). The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord 8, 6.

    Article  PubMed  PubMed Central  Google Scholar 

  • Foerster M, Marques-Vidal P, Gmel G, Daeppen JB, Cornuz J, Hayoz D et al. (2009). Alcohol drinking and cardiovascular risk in a population with high mean alcohol consumption. Am J Cardiol 103, 361–368.

    Article  CAS  PubMed  Google Scholar 

  • Ghosh S, Meister D, Cowen S, Hannan WJ, Ferguson A (1997). Body composition at the bedside. Eur J Gastroenterol Hepatol 9, 783–788.

    Article  CAS  PubMed  Google Scholar 

  • Janssen I, Katzmarzyk PT, Ross R (2004). Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 79, 379–384.

    Article  CAS  PubMed  Google Scholar 

  • Karelis AD (2008). Metabolically healthy but obese individuals. Lancet 372, 1281–1283.

    Article  PubMed  Google Scholar 

  • Karelis AD, Brochu M, Rabasa-Lhoret R (2004). Can we identify metabolically healthy but obese individuals (MHO)? Diabetes Metab 30, 569–572.

    Article  CAS  PubMed  Google Scholar 

  • Karelis AD, Faraj M, Bastard JP, St-Pierre DH, Brochu M, Prud’homme D et al. (2005). The metabolically healthy but obese individual presents a favorable inflammation profile. J Clin Endocrinol Metab 90, 4145–4150.

    Article  CAS  PubMed  Google Scholar 

  • Karelis AD, Rabasa-Lhoret R (2008). Inclusion of C-reactive protein in the identification of metabolically healthy but obese (MHO) individuals. Diabetes Metab 34, 183–184.

    Article  CAS  PubMed  Google Scholar 

  • Kelly T, Yang W, Chen CS, Reynolds K, He J (2008). Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond) 32, 1431–1437.

    Article  CAS  Google Scholar 

  • Kuk JL, Ardern CI (2009). Are metabolically normal but obese individuals at lower risk for all-cause mortality? Diabetes Care 32, 2297–2299.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lean ME, Han TS, Morrison CE (1995). Waist circumference as a measure for indicating need for weight management. Br Med J 311, 158–161.

    Article  CAS  Google Scholar 

  • Lynch LA, O’Connell JM, Kwasnik AK, Cawood TJ, O’Farrelly C, O’Shea DB (2009). Are natural killer cells protecting the metabolically healthy obese patient? Obesity (Silver. Spring) 17, 601–605.

    Article  CAS  Google Scholar 

  • Marques-Vidal P, Bochud M, Mooser V, Paccaud F, Waeber G, Vollenweider P (2008a). Prevalence of obesity and abdominal obesity in the Lausanne population. BMC Public Health 8, 330.

    Article  PubMed  PubMed Central  Google Scholar 

  • Marques-Vidal P, Cambou JP, Nicaud V, Luc G, Evans A, Arveiler D et al. (1995). Cardiovascular risk factors and alcohol consumption in France and Northern Ireland. Atherosclerosis 115, 225–232.

    Article  CAS  PubMed  Google Scholar 

  • Marques-Vidal P, Montaye M, Haas B, Bingham A, Evans A, Juhan-Vague I et al. (2001). Relationships between alcoholic beverages and cardiovascular risk factor levels in middle-aged men, the PRIME Study. Prospective Epidemiological Study of Myocardial Infarction Study. Atherosclerosis 157, 431–440.

    Article  CAS  PubMed  Google Scholar 

  • Marques-Vidal P, Pécoud A, Hayoz D, Paccaud F, Mooser V, Waeber G et al. (2008b). Prevalence of normal weight obesity in Switzerland: effect of various definitions. Eur J Nutr 47, 251–257.

    Article  PubMed  Google Scholar 

  • Marques-Vidal P, Pécoud A, Hayoz D, Paccaud F, Mooser V, Waeber G et al. (2009). Normal weight obesity: Relationship with lipids, glycaemic status, liver enzymes and inflammation. Nutr Metab Cardiovasc Dis (e-pub ahead of print 10 September 2009).

  • Martin A, O’Sullivan AJ, Brown MA (2001). Body composition and energy metabolism in normotensive and hypertensive pregnancy. BJOG 108, 1263–1271.

    CAS  PubMed  Google Scholar 

  • Meigs JB, Wilson PW, Fox CS, Vasan RS, Nathan DM, Sullivan LM et al. (2006). Body mass index, metabolic syndrome, and risk of type 2 diabetes or cardiovascular disease. J Clin Endocrinol Metab 91, 2906–2912.

    Article  CAS  PubMed  Google Scholar 

  • Messier V, Karelis AD, Prud’homme D, Primeau V, Brochu M, Rabasa-Lhoret R (2009). Identifying Metabolically Healthy but Obese Individuals in Sedentary Postmenopausal Women. Obesity (Silver Spring) 18, 911–917.

    Article  Google Scholar 

  • Messier V, Malita FM, Rabasa-Lhoret R, Brochu M, Karelis AD (2008). Association of cardiorespiratory fitness with insulin sensitivity in overweight and obese postmenopausal women: a Montreal Ottawa New Emerging Team study. Metabolism 57, 1293–1298.

    Article  CAS  PubMed  Google Scholar 

  • Paradis AM, Perusse L, Godin G, Vohl MC (2008). Validity of a self-reported measure of familial history of obesity. Nutr J 7, 27.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rissanen A, Hakala P, Lissner L, Mattlar CE, Koskenvuo M, Rönnemaa T (2002). Acquired preference especially for dietary fat and obesity: a study of weight-discordant monozygotic twin pairs. Int J Obes Relat Metab Disord 26, 973–977.

    Article  CAS  PubMed  Google Scholar 

  • Seidell JC (2000). Obesity, insulin resistance and diabetes--a worldwide epidemic. Br J Nutr 83 (Suppl 1), S5–S8.

    CAS  PubMed  Google Scholar 

  • Simpson JA, Lobo DN, Anderson JA, Macdonald IA, Perkins AC, Neal KR et al. (2001). Body water compartment measurements: a comparison of bioelectrical impedance analysis with tritium and sodium bromide dilution techniques. Clin Nutr 20, 339–343.

    Article  CAS  PubMed  Google Scholar 

  • St-Pierre AC, Cantin B, Mauriège P, Bergeron J, Dagenais GR, Després JP et al. (2005). Insulin resistance syndrome, body mass index and the risk of ischemic heart disease. CMAJ 172, 1301–1305.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stefan N, Kantartzis K, Machann J, Schick F, Thamer C, Rittig K et al. (2008). Identification and characterization of metabolically benign obesity in humans. Arch Intern Med 168, 1609–1616.

    Article  PubMed  Google Scholar 

  • Steiner MC, Barton RL, Singh SJ, Morgan MD (2002). Bedside methods versus dual energy X-ray absorptiometry for body composition measurement in COPD. Eur Respir J 19, 626–631.

    Article  CAS  PubMed  Google Scholar 

  • Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J et al. (2008). The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Arch Intern Med 168, 1617–1624.

    Article  PubMed  Google Scholar 

  • Wolf HK, Kuulasmaa K, Tolonen H, Ruokokoski E (1998). Participation Rates, Quality of Sampling Frames and Sampling Fractions in the MONICA Surveys.. WHO MONICA: Helsinki, Finland.

    Google Scholar 

  • Yanbaeva DG, Dentener MA, Creutzberg EC, Wesseling G, Wouters EF (2007). Systemic effects of smoking. Chest 131, 1557–1566.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The CoLaus study was supported by research grants from GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, Switzerland and the Swiss National Science Foundation (Grant no. 33CSCO-122661). PV and GW received an unrestricted grant for GSK to build the CoLaus sudy. We thank Dr Vincent Mooser (Medical Genetics, GlaxoSmithKline, Philadelphia, PA, USA) and the EJCN reviewers for helpful comments. We also express their gratitude to the participants in the Lausanne CoLaus study and to the investigators who have contributed to the recruitment, in particular Yolande Barreau, Anne-Lise Bastian, Binasa Ramic, Martine Moranville, Martine Baumer, Marcy Sagette, Jeanne Ecoffey and Sylvie Mermoud for data collection.

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Correspondence to P Marques-Vidal.

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Velho, S., Paccaud, F., Waeber, G. et al. Metabolically healthy obesity: different prevalences using different criteria. Eur J Clin Nutr 64, 1043–1051 (2010). https://doi.org/10.1038/ejcn.2010.114

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