Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases.

The American Journal of Clinical Nutrition
Abishek StanleySteven B Heymsfield

Abstract

The normal-weight BMI range (18.5-24.9 kg/m2) includes adults with body shape and cardiometabolic disease risk features of excess adiposity, although a distinct phenotype developed on a large and diverse sample is lacking. To identify demographic, behavioral, body composition, and health-risk biomarker characteristics of people in the normal-weight BMI range who are at increased risk of developing cardiovascular and metabolic diseases based on body shape. Six nationally representative waist circumference index (WCI, weight/height0.5) prediction formulas, with BMI and age as covariates, were developed using data from 17,359 non-Hispanic (NH) white, NH black, and Mexican-American NHANES 1999-2006 participants. These equations were then used to predict WCI in 5594 NHANES participants whose BMI was within the normal weight range. Men and women in each race/Hispanic-origin group were then separated into high, medium, and low tertiles based on the difference (residual) between measured and predicted WCI. Characteristics were compared across tertiles; P values for significance were adjusted for multiple comparisons. Men and women in the high WCI residual tertile, relative to their BMI and age-equivalent counterparts in the low tertile...Continue Reading

References

Sep 1, 1983·The Journal of Clinical Investigation·M KrotkiewskiU Smith
Aug 1, 1981·The American Journal of Clinical Nutrition·N B RudermanP Berchtold
May 20, 1998·Diabetes·N RudermanS Schneider
Jul 30, 2002·The American Journal of Clinical Nutrition·Jaehee KimDympna Gallagher
Feb 27, 2004·The American Journal of Clinical Nutrition·Ian JanssenRobert Ross
Jun 8, 2004·The Journal of Clinical Endocrinology and Metabolism·Antony D KarelisEric T Poehlman
Apr 20, 2005·Lancet·Robert H EckelPaul Z Zimmet
Mar 3, 2007·Applied Physiology, Nutrition, and Metabolism = Physiologie Appliquée, Nutrition Et Métabolisme·Florence ConusFrançois Péronnet
Dec 25, 2007·Journal of the American Dietetic Association·Roya KelishadiMohammad A Ramezani
Mar 18, 2009·Epidemiology·John H PageJoann E Manson
May 26, 2012·Nutrition Research Reviews·E Louise ThomasJimmy D Bell
Aug 31, 2012·The New England Journal of Medicine·Farshad Fani Marvasti, Randall S Stafford
Jan 3, 2013·JAMA : the Journal of the American Medical Association·Steven B Heymsfield, William T Cefalu
Nov 14, 2013·Journal of the American Pharmacists Association : JAPhA
Jan 16, 2014·Sports Health·Patrick N SiparskyWilliam E Garrett
Nov 21, 2014·The American Journal of Clinical Nutrition·Steven B HeymsfieldWoong Choi
May 30, 2015·Nutrition Reviews·Tatiana F S TeixeiraMaria do Carmo G Peluzio
Dec 15, 2015·Obesity Reviews : an Official Journal of the International Association for the Study of Obesity·S B HeymsfieldJ M Schuna
Dec 20, 2015·Metabolism: Clinical and Experimental·Hannah MathewChristos S Mantzoros
Nov 13, 2018·JAMA : the Journal of the American Medical Association·Katrina L PiercyRichard D Olson
Jul 10, 2019·BioMed Research International·Thunyarat AnothaisintaweeAmmarin Thakkinstian
Sep 12, 2019·Obesity Reviews : an Official Journal of the International Association for the Study of Obesity·Phoenix HwaungSteven B Heymsfield

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Citations

Jul 6, 2021·Therapeutic Advances in Musculoskeletal Disease·Jean-Guillaume LetarouillyJulien Paccou

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