This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Abelson P, Kennedy D (2004). The obesity epidemic. Science 304, 1413. 2004. https://doi.org/10.1126/science.304.5676.1413AbelsonPKennedyD2004The obesity epidemic30414132004https://doi.org/10.1126/science.304.5676.141310.1126/science.304.5676.1413Search in Google Scholar
Haslam D, James P. Obesity. Lancet 2005; 366: 1197–1209. https://doi.org/10.1016/S0140-6736(05)67483-1HaslamDJamesP.Obesity200536611971209https://doi.org/10.1016/S0140-6736(05)67483-110.1016/S0140-6736(05)67483-1Search in Google Scholar
Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. International Journal of Obesity 2008; 32: 1431–1437. https://doi.org/10.1038/ijo.2008.102KellyTYangWChenCSReynoldsKHeJ.Global burden of obesity in 2005 and projections to 203020083214311437https://doi.org/10.1038/ijo.2008.10210.1038/ijo.2008.10218607383Search in Google Scholar
World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation on Obesity. (WHO technical report series), 1998.1998Search in Google Scholar
Francischi RPP, Pereira LO, Freitas cs, Klopfer M, Santos RC, Vieira P, Lancha Jr AH. Obesity: updated information about its etiology, morbidity and treatment. Rev Nutr 2000; 13:17-28. https://doi.org/10.1590/S1415-52732000000100003FrancischiRPPPereiraLOFreitascsKlopferMSantosRCVieiraPLancha JrAH.Obesity: updated information about its etiology, morbidity and treatment2000131728https://doi.org/10.1590/S1415-5273200000010000310.1590/S1415-52732000000100003Search in Google Scholar
Associação Brasileira para o Estudo da Obesidade e da Síndrome Metabólica (ABESO). Available at: http://www.abeso.org.br. Accessed: April 1, 2012.Available athttp://www.abeso.org.brAccessedApril 12012Search in Google Scholar
Quetelet LAJ. Comparative statistics in the 19th century. Farnborough. United Kingdom: Gregg International Publishers; 1973. A treatise on man and the development of his faculties. Edinburgh. United Kingdom: William and Robert Chambers, 1842.QueteletLAJ.Comparative statistics in the 19th centuryUnited KingdomGregg International Publishers1973Edinburgh. United KingdomWilliam and Robert Chambers1842Search in Google Scholar
World Health Organization. Physical status: the use and interpretation of anthropometry. Report of a WHO expert committee. (WHO technical report series), 1995.World Health OrganizationReport of a WHO expert committee (WHO technical report series)1995Search in Google Scholar
Javed F, Aziz EF, Sabharwal MS, Nadkarni GN, Khan SA, Cordova J et al. Association of BMI and cardiovascular risk stratification in the elderly African American females. Obesity 2010; 19: 1182-6. https://doi.org/10.1038/oby.2010.307JavedFAzizEFSabharwalMSNadkarniGNKhanSACordovaJAssociation of BMI, cardiovascular risk stratification in the elderly African American females20101911826https://doi.org/10.1038/oby.2010.30710.1038/oby.2010.307331903321183933Search in Google Scholar
Franco LP, Morais CC, Cominetti C. Normal-weight obesity syndrome: diagnosis, prevalence, and clinical implications. Nutr Rev 2016: 1–13. https://doi.org/10.1093/nutrit/nuw019FrancoLPMoraisCCCominettiC.Normal-weight obesity syndrome: diagnosis, prevalence, and clinical implications2016113https://doi.org/10.1093/nutrit/nuw01910.1093/nutrit/nuw01927473199Search in Google Scholar
Oliveros E, Somers VK, Sochor O et aL. The concept of normal weight obesity. Progr Cardiovasc Dis 2014: 426-33. https://doi.org/10.1016/j.pcad.2013.10.003OliverosESomersVKSochorOThe concept of normal weight obesity201442633https://doi.org/10.1016/j.pcad.2013.10.00310.1016/j.pcad.2013.10.00324438734Search in Google Scholar
Romero-Corral A, Somers VK, Sierra-Johnson J et al. Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality. Eur Heart J 2010: 737-46. https://doi.org/10.1093/eurheartj/ehp487Romero-CorralASomersVKSierra-JohnsonJNormal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality201073746https://doi.org/10.1093/eurheartj/ehp48710.1093/eurheartj/ehp487283867919933515Search in Google Scholar
Mialich MS Martinez EZ, Garcia RWD and Jordao Jr AA. New body mass index adjusted for fat mass (BMIfat) by the use of electrical impedance. Int J Body Comp Res 2011; 9(2): 65-72.MialichMSMartinezEZGarciaRWDJordao JrAA.New body mass index adjusted for fat mass (BMIfat) by the use of electrical impedance2011926572Search in Google Scholar
Gupta S, Kapoor S. Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population. J Commun Health 2012; 37: 441-7. https://doi.org/10.1007/s10900-011-9461-8GuptaSKapoorS.Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population2012374417https://doi.org/10.1007/s10900-011-9461-810.1007/s10900-011-9461-821858688Search in Google Scholar
Gómez-Ambrosi J, Silva C, Galofre JC, Escalada J, Santos S, Millán D et al. Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity. Int J Obesity 2012; 36: 286-294. https://doi.org/10.1038/ijo.2011.100Gómez-AmbrosiJSilvaCGalofreJCEscaladaJSantosSMillánDBody mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity201236286294https://doi.org/10.1038/ijo.2011.10010.1038/ijo.2011.10021587201Search in Google Scholar
Gallagher D, Heymsfield SB, Heo M, Jebb SS, Murgatriyd PR, Sakamoto Y et al. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 2000; 72: 694–701. https://doi.org/10.1093/ajcn/72.3.694GallagherDHeymsfieldSBHeoMJebbSSMurgatriydPRSakamotoYHealthy percentage body fat ranges: an approach for developing guidelines based on body mass index200072694701https://doi.org/10.1093/ajcn/72.3.69410.1093/ajcn/72.3.694Search in Google Scholar
Mialich MS, Martinez EZ, Jordao Jr AA. Application of body mass index adjusted for fat mass (BMIfat) obtained by bioelectrical impedance in adults. Nutr Hosp 2014; 30(2): 417-424.MialichMSMartinezEZJordao JrAA.Application of body mass index adjusted for fat mass (BMIfat) obtained by bioelectrical impedance in adults2014302417424Search in Google Scholar
Fletcher I. Defining an epidemic: the body mass index in British and US obesity research 1960–2000. Sociol Health Illness 2014; 36 (3): 338-53. https://doi.org/10.1111/1467-9566.12050FletcherI.Defining an epidemic: the body mass index in British and US obesity research 1960–2000201436333853https://doi.org/10.1111/1467-9566.1205010.1111/1467-9566.12050Search in Google Scholar
Deurenberg-Yap M, Schmidt G, Van Staveren WA, Deurenberg P. The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore. Int J Obs Relat Metab Disord 2000; 24(8): 1011-7. https://doi.org/10.1038/sj.ijo.0801353Deurenberg-YapMSchmidtGVan StaverenWADeurenbergP.The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore200024810117https://doi.org/10.1038/sj.ijo.080135310.1038/sj.ijo.0801353Search in Google Scholar
Frankenfield DC, Rowe WA, Cooney rn, Smiths JS, Becker D. Limits of body mass index to detect obesity and predict body composition. Nutrition 2001; 17: 26–30. https://doi.org/10.1016/S0899-9007(00)00471-8FrankenfieldDCRoweWACooneyrnSmithsJSBeckerD.Limits of body mass index to detect obesity and predict body composition2001172630https://doi.org/10.1016/S0899-9007(00)00471-810.1016/S0899-9007(00)00471-8Search in Google Scholar
Ko GT, Tang J, Chan jc, Sung R, Wu MM, Wia HP, Chen R. Lower BMI cut-off value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance. Br J Nutr 2001; 85(2): 239-42. https://doi.org/10.1079/BJN2000251KoGTTangJChanjcSungRWuMMWiaHPChenR.Lower BMI cut-off value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance200185223942https://doi.org/10.1079/BJN200025110.1079/BJN200025111242492Search in Google Scholar
Dudeja V, Misra A, Pandey RM, Devina G, Kumar G, Vikram NK. BMI does not accurately predict overweight in Asian Indians in northern India. Br J Nutr 2001; 86; 105-112. https://doi.org/10.1079/BJN2001382DudejaVMisraAPandeyRMDevinaGKumarGVikramNK.BMI does not accurately predict overweight in Asian Indians in northern India200186105112https://doi.org/10.1079/BJN200138210.1079/BJN200138211432771Search in Google Scholar
Oh SW, Shin S, Yun YH, Yoo T, Huh B. Cut-off point of BMI and obesity-related comorbidities and mortality in middle-aged Koreans. Obesity Research 2004; 12(12): 2031-40. https://doi.org/10.1038/oby.2004.254OhSWShinSYunYHYooTHuhB.Cut-off point of BMI, obesity-related comorbidities and mortality in middle-aged Koreans20041212203140https://doi.org/10.1038/oby.2004.25410.1038/oby.2004.25415687405Search in Google Scholar
Kagawa M, Uenishi K, Kuroia C, Mori M, Binns CW. Is the BMI cut off level for Japanese females for obesity set too high? A consideration from a body composition perspective. Asia Pac J Clin Nutr 2006; 15(4): 502-7.KagawaMUenishiKKuroiaCMoriMBinnsCW.Is the BMI cut off level for Japanese females for obesity set too high? A consideration from a body composition perspective20061545027Search in Google Scholar
Bozkirli E, Ertorer ME, Bakiner O, Tutuncu NB, Demirag NG. The validity of the World Health Organisation’s obesity body mass index criteria in a Turkish population: a hospital-based study. Asia Pac J Clin Nutr 2007; 16(3): 443-447.BozkirliEErtorerMEBakinerOTutuncuNBDemiragNG.The validity of the World Health Organisation’s obesity body mass index criteria in a Turkish population: a hospital-based study2007163443447Search in Google Scholar
Romero-Corral. A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J. et al. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obesity 2008: 1–8. https://doi.org/10.1038/ijo.2008.11Romero-CorralASomersVKSierra-JohnsonJThomasRJCollazo-ClavellMLKorinekJ.et al. Accuracy of body mass index in diagnosing obesity in the adult general population200818https://doi.org/10.1038/ijo.2008.1110.1038/ijo.2008.11287750618283284Search in Google Scholar
Laughton GE, Buchholz AC, Martin Ginis KA, Goy RE. Lowering body mass index cutoffs better identifies obese persons with spinal cord injury. Spinal Cord 2009: 7, 1-6. https://doi.org/10.1038/sc.2009.33LaughtonGEBuchholzACMartin GinisKAGoyRE.Lowering body mass index cutoffs better identifies obese persons with spinal cord injury2009716https://doi.org/10.1038/sc.2009.3310.1038/sc.2009.3319350042Search in Google Scholar
Laurson KR, Eisenmann JC, Welk GJ. Body Mass Index Standards Based on Agreement with Health-Related Body Fat. Am J Prev Med 2011; 41 (4S2):S100 –S105.LaursonKREisenmannJCWelkGJ.Body Mass Index Standards Based on Agreement with Health-Related Body Fat2011414S2S100S10510.1016/j.amepre.2011.07.00421961608Search in Google Scholar