One reason why waist-to-height ratio is usually better related to chronic disease risk and outcome than body mass index

References

• Ashwell M, Hsieh SD. 2005. Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 56:303–307.
   PubMed Web of Science ®Google Scholar
• Bosy-Westphal A, Geisler C, Onur S, Korth O, Selberg O, Schrezenmeir J, Muller MJ. 2006. Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors. Int J Obes. 30:475–483.
   PubMed Web of Science ®Google Scholar
• Browning LM, Hsieh SD, Ashwell M. 2010. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev. 23:247–269.
   PubMed Web of Science ®Google Scholar
• Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, Berenson GS. 2007. Relation of body mass index and waist-to-height ratio to cardiovascular disease risk factors in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 86:33–40.
   PubMed Web of Science ®Google Scholar
• Garnett SP, Baur LA, Cowell CT. 2008. Waist-to-height ratio: a simple option for determining excess central adiposity in young people. Int J Obes. 32:1028–1030.
   PubMed Web of Science ®Google Scholar
• Hadaegh F, Zabetian A, Harati H, Azizi F. 2006. Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men – a 3.6-year prospective study. Exp Clin Endocrinol Diabetes. 114:310–315.
   Google Scholar
• Hara M, Saitou E, Iwata F, Okada T, Harada K. 2002. Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese schoolchildren. Atheroscler Thromb. 9:127–132.
   Google Scholar
• Henneberg M, Veitch D. 2005. Is obesity as measured by body mass index, and waist circumference in Adult Australian Women 2002 just a result of the lifestyle?. J Hum Ecol. 13:85–89.
   Google Scholar
• Henneberg M, Hugg J, Townsend EJ. 1989. Body weight/height relationship: exponential solution. Am J Hum Biol. 1:483–491.
   Google Scholar
• Henry CJK, Varakamin C, Webster-Gandy J, Ulijaszek SJ. 2001. Anthropometry of two contrasting populations of Thai elderly living in a rural setting. Arch Gerontol Geriatr. 33:255–263.
   Google Scholar
• Hsieh SD, Muto T. 2006. Metabolic syndrome in Japanese men and women with special reference to the anthropometric criteria for the assessment of obesity: proposal to use the waist-to-height ratio. Prev Med. 42:135–139.
   PubMed Web of Science ®Google Scholar
• Kahn HS, Imperatore G, Cheng YJ. 2005. A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth. J Pediatr. 146:482–488.
   PubMed Web of Science ®Google Scholar
• Khan A, Haq FU, Pervez MB, Saleheen D, Frossard PM, Ishaq M, . 2008. Anthropometric correlates of blood pressure in normotensive Pakistani subjects. Int J Cardiol. 124:259–262.
   Google Scholar
• Lin WY, Lee LT, Chen CY, Lo H, Hsia HH, Liu IL, . 2002. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Rel Metabol Disoders. 26:1232–1238.
   PubMed Web of Science ®Google Scholar
• Liu Y, Tong G, Tong W, Lu L, Qin X. 2011. Can body mass index, wasit circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?. BMC Public Health. 11:35.
   PubMed Web of Science ®Google Scholar
• Lorenzo C, Serrano-Rios M, Martinez-Larrad MT, Gonzalez-Villalpando C, Williams K, Gabriel R, . 2007. Which obesity index best explains prevalence differences in type 2 diabetes mellitus?. Obesity. 15:1294–1301.
   Google Scholar
• MacKay MF, Haffner SM, Wagenknecht LE, D'Agostino RB, Hanley AJG. 2009. Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort. Diabetes Care. 32:956–958.
   Google Scholar
• McCarthy HD, Ashwell M. 2006. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades supports the simple message – ‘keep your waist circumference to less than half your height’. Int J Obes. 30:988–992.
   PubMed Web of Science ®Google Scholar
• Savva SC, Tornaritis M, Savva ME, Kourides Y, Panagi A, Silikiotou N, . 2000. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes. 24:1453–1458.
   PubMed Web of Science ®Google Scholar
• Schneider HJ, Friedrich N, Klotsche J, Pieper L, Nauck M, John U, . 2010. The predictive value of different measures of obesity for incident cardiovascular events and mortality. J Clin Endocrinol Metab. 95:1777–1785.
   PubMed Web of Science ®Google Scholar
• Tybor DJ, Lichtenstein AH, Dallal GE, Must A. 2008. Waist-to-height ratio is correlated with height in US children and adolescents ages 2–18 years. Int J Pediatr Obes. 3:148–151.
   PubMed Web of Science ®Google Scholar
• Ulijaszek SJ. 2003. Socioeconomic factors associated with physique of adults of the Purari delta of the Gulf Province, Papua New Guinea. Ann Hum Biol. 30:316–328.
   PubMed Web of Science ®Google Scholar
• Weili Y, He B, Yao H, Dai J, Cui J, Ge D, . 2007. Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescents. Obesity. 15:748–752.
   PubMed Web of Science ®Google Scholar