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Waist-to-Height Ratio Is the Best Anthropometric Index for Screening the Risk of Obesity-Related Disorders

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Asian Perspectives and Evidence on Health Promotion and Education
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Abstract

Although waist circumference has been recommended as an index of abdominal fat distribution, it has many shortcomings. For example, various cut-off values of waist circumference have been proposed for different ethnic groups, countries, and genders. The lack of height adjustment for central fat distribution makes it difficult to persuade taller and shorter people of similar waist circumferences that they have similar metabolic risks. Studies from various countries have reported that the waist-to-height ratio (WHtR) is more related to metabolic risks, diabetes, coronary heart disease, gout, stroke, transient ischemic attacks, early carotid intima-media thickening, and chronic kidney disease than other anthropometric indices of obesity. WHtR also has the potential for application of a single index to children, adolescents, adults of different genders and countries, and people of normal weight. This is especially important in Asia because most Asians are not prominently obese, despite the prevalence of metabolic risk factors. WHtR 0.5 may provide a useful clinical tool for screening persons at risk, and an effective public health message for the prevention of obesity-related metabolic risks and diseases.

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References

  1. Haslam DW, James WPT (2005) Obesity. Lancet 366:1197–1209

    Article  PubMed  Google Scholar 

  2. Lean ME, Han TS, Morrison CE (1995) Waist circumference as a measure for indicating need for weight management. BMJ 311:158–161

    Article  PubMed  CAS  Google Scholar 

  3. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 285:2486–2497

    Article  Google Scholar 

  4. Grundy SM, Cleeman JI, Daniels SR et al (2005) Diagnosis and management of the metabolic syndrome; an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation 112:2735–2752

    Article  PubMed  Google Scholar 

  5. Alberti KG, Zimmet P, Shaw J (2006) Metabolic syndrome – a new world-wide definition. A consensus statement from the International Diabetes Federation. Diabet Med 23:469–480

    Article  PubMed  CAS  Google Scholar 

  6. Alberti KG, Eckel RH, Grundy SM et al (2009) Harmonizing the metabolic syndrome. A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the study of obesity. Circulation 120:1640–1645

    Article  PubMed  CAS  Google Scholar 

  7. Editor, Jpn Med J (2007) How to do the special health checkups and consultations (in Japanese). Jpn Med J 4344:4–7

    Google Scholar 

  8. Hsieh SD, Yoshinaga H (1995) Abdominal fat distribution and coronary heart disease risk factors in men-waist/height ratio as a simple and useful predictor. Int J Obes Relat Metab Disord 19:585–589

    PubMed  CAS  Google Scholar 

  9. Hsieh SD, Yoshinaga H (1995) Waist/height ratio as a simple and useful predictor of coronary heart disease risk factors in women. Intern Med 34:1147–1152

    Article  PubMed  CAS  Google Scholar 

  10. Lee JS, Aoki K, Kawakubo K et al (1995) A study on indices of body fat distribution for screening for obesity. Sangyo Eiseigaku Zasshi 37:9–18

    Article  PubMed  CAS  Google Scholar 

  11. Ashwell M, Lejeune S, McPherson K (1996) Ratio of waist circumference to height may be better indicator of need for weight management. BMJ 312:377

    Article  PubMed  CAS  Google Scholar 

  12. Brown DC, Byrne CD, Clark PM et al (1991) Height and glucose tolerance in adults subjects. Diabetologia 34(Suppl 8):531–533

    Article  PubMed  CAS  Google Scholar 

  13. Henriksson KM, Lindblad U, Agren B et al (2001) Associations between body height, body composition, and cholesterol levels in middle-aged men. The coronary risk factors study in southern Sweden (CRISS). Eur J Epidemiol 17:521–526

    Article  PubMed  CAS  Google Scholar 

  14. Parker DR, Lapane KL, Lasater TM et al (1998) Short stature and cardiovascular disease among men and women from two southeastern New England communities. Int J Epidemiol 27:970–975

    Article  PubMed  CAS  Google Scholar 

  15. Forsen T, Eriksson J, Qiao Q et al (2000) Short stature and coronary heart disease: a 35-year follow-up of the Finnish cohorts of the seven countries study. J Intern Med 248:326–332

    Article  PubMed  CAS  Google Scholar 

  16. Hsieh SD, Yoshinaga H (1999) Do people with similar waist circumference share similar health risks irrespective of height? Tohoku J Exp Med 188:55–60

    Article  PubMed  CAS  Google Scholar 

  17. Lin WY, Lee LT, Chen CY et al (2002) Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord 26:1232–1238

    Article  PubMed  Google Scholar 

  18. Ho S-Y, Lam T-H, Janus ED et al (2003) Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Ann Epidemiol 213:683–691

    Article  Google Scholar 

  19. Sayeed A, Mahtab H, Latif ZA et al (2003) Waist-to-height ratio is a better obesity index than body mass index and waist-to-hip ratio for predicting diabetes, hypertension, and hyperlipidemia. Bangladesh Med Res Counc Bull 29:1–10

    PubMed  CAS  Google Scholar 

  20. Mannucci E, Alegiani SS, Monami F et al (2004) Indexes of abdominal obesity in patients with type 2 diabetes. J Endocrinol Invest 27(6):535–540

    PubMed  CAS  Google Scholar 

  21. 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 message on obesity. Int J Food Sci Nutr 56:303–307

    Article  PubMed  Google Scholar 

  22. Schneider HJ, Glaesmer H, Klotsche J et al (2007) Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. J Clin Endocrinol Metab 92:589–594

    Article  PubMed  CAS  Google Scholar 

  23. Wu HY, Chen LL, Liao YF et al (2007) Simple anthropometric indices in relation to cardiovascular risk factors in Chinese type 2 diabetic patients. Chin J Physiol 50(3):135–142

    PubMed  CAS  Google Scholar 

  24. Gelber RP, Gaziano JM, Orav EJ et al (2008) Measures of obesity and cardiovascular risk among men and women. J Am Coll Cardiol 52:605–615

    Article  PubMed  Google Scholar 

  25. Hsieh SD, Ashwell M, Muto T et al (2010) Urgency of reassessment of role of obesity indices for metabolic risks. Metabolism 59:834–840

    Article  PubMed  CAS  Google Scholar 

  26. Hsieh SD, Yoshinaga H, Muto T (2003) Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 27:610–616

    Article  PubMed  CAS  Google Scholar 

  27. Park SH, Choi SJ, Lee KS et al (2009) Waist circumference and waist-to-height ratio as ­predictors of cardiovascular disease risk in Korean adults. Circ J 73(9):1643–1650

    Article  PubMed  CAS  Google Scholar 

  28. Hsieh SD, Yoshinaga H, Muto T et al (2000) Health risks among Japanese men with moderate body mass index. Int J Obes Relat Metab Disord 24:358–362

    Article  PubMed  CAS  Google Scholar 

  29. Hsieh SD, Muto T (2005) The superiority of waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factors among non-obese men and women. Prev Med 40:216–220

    Article  PubMed  Google Scholar 

  30. Ashwell M, Gibson S (2009) Waist-to-height ratio is a simple and effective obesity screening tool for cardiovascular risk factors: analysis of data from the British National Diet and Nutrition Survey of adults aged 19–64 years. Obes Facts 2(2):97–103

    Article  PubMed  Google Scholar 

  31. Srinivasan SR, Wang R, Chen W et al (2009) Utility of waist-to-height ratio in detecting central obesity and related adverse cardiovascular risk profile among normal weight younger adults (from the Bogalusa Heart Study). Am J Cardiol 104(5):721–724

    Article  PubMed  Google Scholar 

  32. Hsieh SD, Muto T, Tsuji H et al (2010) Clustering of other metabolic risk factors in subjects with metabolic syndrome. Metabolism 59:697–702

    Article  PubMed  CAS  Google Scholar 

  33. Hadaegh F, Zabetian A, Harati H et al (2006) Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Teheranian adult men- a 3.6 year prospective study. Exp Clin Endocrinol Diabetes 114(6):310–315

    Article  PubMed  CAS  Google Scholar 

  34. The Decoda Study Group (2008) BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians. Obesity 16:1622–1635

    Article  Google Scholar 

  35. MacKay MF, Haffner SM, Wagenknecht LE et al (2009) Prediction of type 2 diabetes using alternate anthropometric measures in a multiethnic cohort: the insulin resistance atherosclerosis study. Diabetes Care 32(5):956–958

    Article  PubMed  Google Scholar 

  36. HeY ZF, Ma G et al (2009) Abdominal obesity and the prevalence of diabetes and intermediate hyperglycaemia in Chinese adults. Public Health Nutr 12(8):1078–1084

    Article  Google Scholar 

  37. Lyu LC, Hsu CY, Yeh CY et al (2003) A case-control study of the association of diet and obesity with gout in Taiwan. Am J Clin Nutr 78:690–701

    PubMed  CAS  Google Scholar 

  38. Tseng CH (2008) Waist-to-height ratio and coronary artery disease in Taiwanese type 2 diabetic patients. Obesity 16(12):2754–2759

    Article  PubMed  Google Scholar 

  39. Slavash F, Sadeghi M, Salarifar F et al (2008) Comparison of body mass index and waist-to-height ratio in predicting definite coronary artery disease. Ann Nutr Metab 3(3–4):162–166

    Article  Google Scholar 

  40. Gruson E, Montaye M, Kee F et al (2010) Anthropometric assessment of abdominal obesity and coronary heart disease risk in men: the PRIME study. Heart 96(2):136–140

    Article  PubMed  CAS  Google Scholar 

  41. Schneider HJ, Friedrich N, Klotsche J et al (2010) The predictive value of different measures of obesity for incident cardiovascular events and mortality. J Clin Endocrinol Metab 95:1777–1785

    Article  PubMed  CAS  Google Scholar 

  42. Rodrigues SL, Baldo MP, Sá Cunha R et al (2010) Anthropometric measures of increased central and overall adiposity in association with echographic left ventricular hypertrophy. Hypertens Res 33(1):83–87

    Article  PubMed  Google Scholar 

  43. Lu M, Ye W, Adami HO, Weiderpass E (2006) Prospective study of body size and risk for stroke amongst women below age 60. J Intern Med 260:442–450

    Article  PubMed  CAS  Google Scholar 

  44. Winter Y, Rohrmann S, Linseisen J et al (2008) Contribution of obesity and abdominal fat mass to risk of stroke and transient ischemic attacks. Stroke 39(12):3145–3151

    Article  PubMed  Google Scholar 

  45. Maher V, O`Dowd M, Carey M et al (2009) Association of central obesity with early carotid intima-media thickening is independent of that from other risk factors. Int J Obes 33(1):136–143

    Article  CAS  Google Scholar 

  46. Lin CH, Chou CY, Lin CC et al (2007) Waist-to-height ratio is the best index of obesity in association with chronic renal disease. Nutrition 23(11–12):788–793

    Article  PubMed  Google Scholar 

  47. Lamacchia O, Pinnelli S, Camarchio D et al (2009) Waist-to-height ratio is the best anthropometric index in association with adverse cardiorenal outcomes in type 2 diabetes mellitus patients. Am J Nephrol 29(6):615–619

    Article  PubMed  CAS  Google Scholar 

  48. Hara M, Saitou E, Iwata F et al (2002) Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese schoolchildren. J Atheroscler Thromb 9:127–132

    Article  PubMed  Google Scholar 

  49. Kahn HS, Imperatore G, Cheng YJ (2005) A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in children. J Pediatr 146(4):482–488

    Article  PubMed  Google Scholar 

  50. 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 of your height”. Int J Obes 30:988–992

    Article  CAS  Google Scholar 

  51. Weili Y, He B, Yao H et al (2007) Waist-to-height ratio is an accurate and easier index for evaluating obesity in children and adolescent. Obesity 15:748–752

    Article  PubMed  Google Scholar 

  52. Maffeis C, Banzato C, Talamini G et al (2008) Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr 152(2):207–213

    Article  PubMed  Google Scholar 

  53. 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(6):1028–1030

    Article  CAS  Google Scholar 

  54. Freedman DS, Dietz WH, Srinivasan SR (2009) Risk factors and adult body mass index among overweight children: the Bogalusa Heart Study. Pediatrics 123(3):750–757

    Article  PubMed  Google Scholar 

  55. Nambiar S, Truby H, Abbott RA et al (2009) Validating the waist-to-height ratio and developing centiles for use amongst children and adolescents. Acta Paediatr 98:148–152

    Article  PubMed  Google Scholar 

  56. Goulding A, Taylor RW, Grant AM (2010) Waist-to-height ratio in relation to BMI z-scores in three ethnic groups from a representative sample of the New Zealand children aged 5–14 years. Int J Obes 34:1188–1190

    Article  CAS  Google Scholar 

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Correspondence to Shiun Dong Hsieh .

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Hsieh, S.D., Muto, T. (2011). Waist-to-Height Ratio Is the Best Anthropometric Index for Screening the Risk of Obesity-Related Disorders. In: Muto, T., Nakahara, T., Nam, E.W. (eds) Asian Perspectives and Evidence on Health Promotion and Education. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53889-9_32

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  • DOI: https://doi.org/10.1007/978-4-431-53889-9_32

  • Publisher Name: Springer, Tokyo

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