Literature DB >> 17027570

Comparison of body mass index versus waist circumference with the metabolic changes that increase the risk of cardiovascular disease in insulin-resistant individuals.

Helke M F Farin1, Fahim Abbasi, Gerald M Reaven.   

Abstract

This study compared the abilities of body mass index (BMI) and waist circumference (WC) to identify resistance to insulin-mediated glucose uptake and related metabolic abnormalities in 261 apparently healthy patients. Insulin resistance and associated metabolic abnormalities occur more commonly in the overweight/obese, and these changes increase the risk of cardiovascular disease (CVD). Determining either their BMI or WC can identify patients more likely to experience the adverse effects of excess adiposity on CVD risk, and the relative clinical utility of these measurements is not clear. Therefore, insulin-mediated glucose uptake was quantified in 261 apparently healthy adults by determining the steady-state plasma glucose concentrations during the insulin suppression test; the higher the concentration, the greater the defect in insulin action. The fasting plasma glucose, triglyceride, and total, low-density lipoprotein, and high-density lipoprotein cholesterol concentrations were also measured, and the associations between these variables and the measurements of BMI and WC were determined. The greater the degree of adiposity, the higher the steady-state plasma glucose, fasting plasma glucose, and triglyceride concentrations, irrespective of the index of adiposity used. However, increases in the total and low-density lipoprotein cholesterol and decreases in the high-density lipoprotein cholesterol concentrations were only seen in those with higher BMI values. In conclusion, because BMI performed at least as well as WC in identifying differences in insulin sensitivity and multiple CVD risk factors, either estimate can be used to identify patients at increased CVD risk.

Entities:  

Mesh:

Year:  2006        PMID: 17027570     DOI: 10.1016/j.amjcard.2006.05.025

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

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Journal:  Clin Exp Nephrol       Date:  2011-03-01       Impact factor: 2.801

2.  Cardiometabolic Risk in South Asian Inhabitants of California: Hypertriglyceridemic Waist vs Hypertriglyceridemic Body Mass Index.

Authors:  Fahim Abbasi; Ashish Mathur; Gerald M Reaven; César R Molina
Journal:  Ethn Dis       Date:  2016-04-21       Impact factor: 1.847

3.  Cardiometabolic risk factors and obesity: does it matter whether BMI or waist circumference is the index of obesity?

Authors:  Fahim Abbasi; Christine Blasey; Gerald M Reaven
Journal:  Am J Clin Nutr       Date:  2013-07-24       Impact factor: 7.045

4.  Novel adipokines, high molecular weight adiponectin and resistin, are associated with outcomes following lower extremity revascularization with autogenous vein.

Authors:  Christopher D Owens; Ji Min Kim; Nathanael D Hevelone; Allen Hamdan; Joseph D Raffetto; Mark A Creager; Michael S Conte
Journal:  J Vasc Surg       Date:  2010-03-11       Impact factor: 4.268

5.  Adiposity indices in the prediction of metabolic abnormalities associated with cardiovascular disease in non-diabetic adults.

Authors:  A Liu; F Abbasi; G M Reaven
Journal:  Nutr Metab Cardiovasc Dis       Date:  2010-03-20       Impact factor: 4.222

6.  Waist circumference is the best anthropometric predictor for insulin resistance in nondiabetic patients with schizophrenia treated with clozapine but not olanzapine.

Authors:  David C Henderson; Xiaoduo Fan; Bikash Sharma; Paul M Copeland; Christina P C Borba; Oliver Freudenreich; Corinne Cather; A Eden Evins; Donald C Goff
Journal:  J Psychiatr Pract       Date:  2009-07       Impact factor: 1.325

7.  Comparison of Waist Circumference, Body Mass Index, Percent Body Fat and Other Measure of Adiposity in Identifying Cardiovascular Disease Risks among Thai Adults.

Authors:  Linda Paniagua; Vitool Lohsoonthorn; Somrat Lertmaharit; Wiroj Jiamjarasrangsi; Michelle A Williams
Journal:  Obes Res Clin Pract       Date:  2008-09-01       Impact factor: 2.288

8.  Variable contributions of fat content and distribution to metabolic syndrome risk factors.

Authors:  Scott M Grundy; Beverley Adams-Huet; Gloria Lena Vega
Journal:  Metab Syndr Relat Disord       Date:  2008-12       Impact factor: 1.894

9.  Association of metabolic syndrome with glioblastoma: a retrospective cohort study and review.

Authors:  Lisa R Rogers; Quinn T Ostrom; Julia Schroer; Jaime Vengoechea; Li Li; Stanton Gerson; Charles J Nock; Mitchell Machtay; Warren Selman; Simon Lo; Andrew E Sloan; Jill S Barnholtz-Sloan
Journal:  Neurooncol Pract       Date:  2020-03-31

10.  Lifestyle variables and the risk of myocardial infarction in the general practice research database.

Authors:  Joseph A C Delaney; Stella S Daskalopoulou; James M Brophy; Russell J Steele; Lucie Opatrny; Samy Suissa
Journal:  BMC Cardiovasc Disord       Date:  2007-12-18       Impact factor: 2.298

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