| Identifying metabolically healthy but obese individuals in sedentary postmenopausal women. | |
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MedLine Citation:
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PMID: 19851302 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The purpose of this study was to compare different methods to identify metabolically healthy but obese (MHO) individuals in a cohort of obese postmenopausal women. We examined the anthropometric and metabolic characteristics of 113 obese (age: 57.3 +/- 4.8 years; BMI: 34.2 +/- 2.7 kg/m(2)), sedentary postmenopausal women. The following methods were used to identify MHO subjects: the hyperinsulinemic-euglycemic clamp (MHO: upper quartile of glucose disposal rates); the Matsuda index (MHO: upper quartile of the Matsuda index); the homeostasis model assessment (HOMA) index (MHO: lower quartile of the HOMA index); having 0-1 cardiometabolic abnormalities (systolic/diastolic blood pressure > or =130/85 mm Hg, triglycerides (TG) > or =1.7 mmol/l, glucose > or =5.6 mmol/l, HOMA >5.13, high-sensitive C-reactive protein (hsCRP) >0.1 mg/l, high-density lipoprotein-cholesterol (HDL-C) <1.3 mmol/l); and meeting four out of five metabolic factors (HOMA < or =2.7, TG < or =1.7 mmol/l, HDL-C > or =1.3 mmol/l, low-density lipoprotein-cholesterol < or =2.6 mmol/l, hsCRP < or =3.0 mg/l). Thereafter, we measured insulin sensitivity, body composition (dual-energy X-ray absorptiometry), body fat distribution (computed tomography scan), energy expenditure, plasma lipids, inflammation markers, resting blood pressure, and cardiorespiratory fitness. We found significant differences in body composition (i.e., peripheral fat mass, central lean body mass (LBM)) and metabolic risk factors (i.e., HDL-C, hsCRP) between MHO and at risk individuals using the different methods to identify both groups. In addition, significant differences between MHO subjects using the different methods to identify MHO individuals were observed such as age, TG/HDL, hsCRP, and fasting insulin. However, independently of the methods used, we noted some recurrent characteristics that identify MHO subjects such as TG, apolipoprotein B, and ferritin. In conclusion, the present study shows variations in body composition and metabolic profile based on the methods studied to define the MHO phenotype. Therefore, an expert consensus may be needed to standardize the identification of MHO individuals. |
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Authors:
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Virginie Messier; Antony D Karelis; Denis Prud'homme; Vanessa Primeau; Martin Brochu; Rémi Rabasa-Lhoret |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-10-22 |
Journal Detail:
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Title: Obesity (Silver Spring, Md.) Volume: 18 ISSN: 1930-7381 ISO Abbreviation: Obesity (Silver Spring) Publication Date: 2010 May |
Date Detail:
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Created Date: 2010-04-28 Completed Date: 2010-07-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101264860 Medline TA: Obesity (Silver Spring) Country: United States |
Other Details:
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Languages: eng Pagination: 911-7 Citation Subset: IM |
Affiliation:
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Department of Nutrition, Université de Montréal, Montreal, Quebec, Canada. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Absorptiometry, Photon Analysis of Variance Blood Glucose / metabolism Body Composition Body Mass Index C-Reactive Protein / metabolism Energy Metabolism Female Glucose Clamp Technique Health Status* Humans Insulin Resistance Metabolic Syndrome X / metabolism Middle Aged Obesity / metabolism* Physical Fitness Postmenopause / metabolism* Sedentary Lifestyle* Triglycerides / blood |
| Grant Support | |
ID/Acronym/Agency:
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//Canadian Institutes of Health Research |
| Chemical | |
Reg. No./Substance:
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0/Blood Glucose; 0/Triglycerides; 9007-41-4/C-Reactive Protein |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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