Assessing cardiometabolic risk in middle-aged adults using body mass index and waist-height ratio: are two indices better than one? A cross-sectional study

Diabetology & Metabolic Syndrome
Seán R MillarCatherine M Phillips

Abstract

A novel obesity classification method has been proposed using body mass index (BMI) and waist-height ratio (WHtR) together. However, the utility of this approach is unclear. In this study we compare the metabolic profiles in subjects defined as overweight or obese by both measures. We examine a range of metabolic syndrome features, pro-inflammatory cytokines, acute-phase response proteins, coagulation factors and white blood cell counts to determine whether a combination of both indices more accurately identifies individuals at increased obesity-related cardiometabolic risk. This was a cross-sectional study involving a random sample of 1856 men and women aged 46-73 years. Metabolic and anthropometric profiles were assessed. Linear and logistic regression analyses were used to compare lipid, lipoprotein, blood pressure, glycaemic and inflammatory biomarker levels between BMI and WHtR tertiles. Multinomial logistic regression was performed to determine cardiometabolic risk feature associations with BMI and WHtR groupings. Receiver operating characteristic curve analysis was used to evaluate index discriminatory ability. The combination of BMI and WHtR tertiles identified consistent metabolic variable differences relative to those...Continue Reading

References

Jul 16, 2003·Epidemiology·Anders EngelandAage Tverdal
Aug 6, 2003·Medicine and Science in Sports and Exercise·Cora L CraigPekka Oja
Nov 4, 2004·American Journal of Physiology. Endocrinology and Metabolism·Morvarid KabirRichard N Bergman
Jan 12, 2005·Archives of Internal Medicine·Jeptha P CurtisHarlan M Krumholz
May 10, 2006·Diabetic Medicine : a Journal of the British Diabetic Association·K G M M AlbertiJ Shaw
Jun 16, 2007·Epidemiologic Reviews·Benjamin Caballero
Dec 7, 2007·Human Molecular Genetics·Simon CroninOrla Hardiman
May 19, 2011·International Journal of Obesity : Journal of the International Association for the Study of Obesity·J Gómez-AmbrosiG Frühbeck
Nov 24, 2011·Obesity Reviews : an Official Journal of the International Association for the Study of Obesity·M AshwellS Gibson
Sep 18, 2012·International Journal of Epidemiology·Patricia M KearneyIvan J Perry
Jan 4, 2013·Diabetes Care·UNKNOWN American Diabetes Association
Jan 3, 2013·JAMA : the Journal of the American Medical Association·Katherine M FlegalBarry I Graubard
Aug 10, 2013·Reviews in Endocrine & Metabolic Disorders·Catherine M Phillips
Aug 28, 2013·The Journal of Clinical Endocrinology and Metabolism·Catherine M Phillips, Ivan J Perry
Nov 2, 2013·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Savvas C SavvaAnthony G Kafatos

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Citations

Aug 16, 2016·Journal of Diabetes Research·Perla-Monserrat Madrigal-RuízBeatriz-Teresita Martín-Marquez
Oct 11, 2016·Annals of the New York Academy of Sciences·Catherine M Phillips
Aug 2, 2017·Journal of Nutritional Science and Vitaminology·Reem M Al Haj Ahmad, Hayder A Al-Domi
Jun 22, 2017·Terapevticheskiĭ arkhiv·V A Akhmedov, O V Gaus
Apr 1, 2021·Digestive Diseases and Sciences·Sohrab NobaraniMohammad E Khamseh

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Methods Mentioned

BETA
flow cytometry
X-ray

Software Mentioned

Stata SE
SPSS

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