Literature DB >> 15258201

Are BMI and other anthropometric measures appropriate as indices for obesity? A study in an Asian population.

Victor H H Goh1, C F Tain, Terry Y Y Tong, Helen P P Mok, M T Wong.   

Abstract

We have examined the relationships between percentage of body fat (PBF) and risk factors for cardiovascular disease and insulin resistance and how good body mass index (BMI) and other anthropometric measures are as indices of obesity. High PBF levels were associated with increased risk of cardiovascular disease and insulin resistance. The World Health Organization BMI of 30 kg/m(2) for obesity has low sensitivity, 6.7% and 13.4% for men and women, respectively. For every obese man and woman identified, 6.7 and 1.76 times nonobese men and women, respectively, will be misclassified as obese. With the locally established BMI cutoff point for obesity of 27 kg/m(2) for men and 25 kg/m(2) for women, the sensitivity was improved to 46.7% and 60.8%, respectively. For every obese man and woman identified, 3.76 and 1.64 times nonobese men and women, respectively, will be misclassified as obese. None of the other anthropometric indices was better than the locally established BMIs. We showed that the BMIs for obesity for our local men and women are different. These BMIs were most precise among all indices studied. However, they still lead to high false-positive rates. For more effective management of the problem of obesity, we need to develop more precise, simple, and cost-effective methods for the measurement of PBF.

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Year:  2004        PMID: 15258201     DOI: 10.1194/jlr.M400159-JLR200

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  37 in total

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Journal:  Eur J Nutr       Date:  2009-04-01       Impact factor: 5.614

2.  Integrating expression profiling and whole-genome association for dissection of fat traits in a porcine model.

Authors:  S Ponsuksili; E Murani; B Brand; M Schwerin; K Wimmers
Journal:  J Lipid Res       Date:  2011-02-02       Impact factor: 5.922

3.  Multiparametric body composition analysis and anthropometric empirical indicator: obesity based south Indian perspective.

Authors:  K B Kishore Mohan; M Anburajan
Journal:  J Endocrinol Invest       Date:  2013-04-02       Impact factor: 4.256

4.  Da Vinci Xi and Si platforms have equivalent perioperative outcomes during robot-assisted partial nephrectomy: preliminary experience.

Authors:  Ali Abdel Raheem; Abulhasan Sheikh; Dae Keun Kim; Atalla Alatawi; Ibrahim Alabdulaali; Woong Kyu Han; Young Deuk Choi; Koon Ho Rha
Journal:  J Robot Surg       Date:  2016-06-24

5.  Optimal cutoffs for low skeletal muscle mass related to cardiovascular risk in adults: The Korea National Health and Nutrition Examination Survey 2009-2010.

Authors:  Yirang Kim; Byoung-Duck Han; Kyungdo Han; Koh Eun Shin; Halla Lee; Tae Ri Kim; Kyung Hwan Cho; Do Hoon Kim; Yang Hyun Kim; Hyunjin Kim; Ga Eun Nam
Journal:  Endocrine       Date:  2015-04-11       Impact factor: 3.633

6.  Interethnic differences in the accuracy of anthropometric indicators of obesity in screening for high risk of coronary heart disease.

Authors:  V M Herrera; J P Casas; J J Miranda; P Perel; R Pichardo; A González; J R Sanchez; C Ferreccio; X Aguilera; E Silva; M Oróstegui; L F Gómez; J A Chirinos; J Medina-Lezama; C M Pérez; E Suárez; A P Ortiz; L Rosero; N Schapochnik; Z Ortiz; D Ferrante; M Diaz; L E Bautista
Journal:  Int J Obes (Lond)       Date:  2009-02-24       Impact factor: 5.095

7.  Body mass index and body composition measures by dual x-ray absorptiometry in patients aged 10 to 21 years with spinal cord injury.

Authors:  Craig M McDonald; Allison L Abresch-Meyer; Mindy Dopler Nelson; Lana M Widman
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

8.  [Epidemiology of obesity].

Authors:  R Gellner; W Domschke
Journal:  Chirurg       Date:  2008-09       Impact factor: 0.955

9.  Increased fat mass and high incidence of overweight despite low body mass index in patients with spinal muscular atrophy.

Authors:  Douglas M Sproule; Jacqueline Montes; Megan Montgomery; Vanessa Battista; Dorcas Koenigsberger; Wei Shen; Mark Punyanitya; Darryl C De Vivo; Petra Kaufmann
Journal:  Neuromuscul Disord       Date:  2009-05-07       Impact factor: 4.296

10.  Validation and utility of a body condition scoring system for chimpanzees (Pan troglodytes).

Authors:  Lisa A Reamer; Sarah J Neal Webb; Rebekah Jones; Erica Thiele; Rachel L Haller; Steven J Schapiro; Susan P Lambeth; Patrick W Hanley
Journal:  Am J Primatol       Date:  2020-08-27       Impact factor: 2.371

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