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editorial
. 2011 Jan-Mar;2(1):1–3.

Defining Central Adiposity in Terms of Clinical Practice in Children and Adolescents

Peter Schwandt 1,
PMCID: PMC3063466  PMID: 21448396

The global increase of overweight and obesity in childhood and adolescence requires intensified efforts for early detection and prevention.1 Increased central (abdominal) adiposity has a special importance be-cause of increased risk of cardio-metabolic disorders.2 Waist circumference (WC) is the best simple index of fat distribution, since it is least affected by gender, race, and overall adiposity.3 WC correlates with intra-abdominal and subcutaneous fat measured by magnetic resonance imaging in youths.4 Increased WC is one of the five diagnostic items of the metabolic syndrome (MetS) which is essential for the definition of the International Diabetes Federation (IDF) in terms of increased WC plus 2 out of the followings: ele-vated fasting plasma glucose, hypertension, elevated triglycerides and low HDL-cholesterol (HDL-C).5

In adults, WC is measured and adjusted in terms of gender. However, in children and adolescents, ad-ditional adjustment for age is required because of physiological growth and development. Therefore the cut-off values are presented as percentiles similar to the ≥85th percentile of the body mass index (BMI) considered for overweight which can be transformed using special growth charts. Sites of measurement have to be identical for intra-individual, inter-individual and interethnic comparisons. Among the four sites generally used, the best site might be the midway between iliac crest and the lower ribs taking a non-stretchable tape and measuring in the horizontal plane directly on the skin to the nearest 0.1 cm in a re-laxed standing position with slight expiration.6,7 Because of ethnic differences in body composition, IDF proposed special pragmatic cut-off values for WC of European, South Asian, Chinese and Japanese adults.8 However, global proposals are not still well defined for youths though more national data become available.9,10 For instance, components are documented for Iranian and German children ethnic dispari-ties of the metabolic syndrome.11,12 Among black and white children participating in the Bogalusa Heart Study between 1992 and 1994, WC thresholds were similar in both confirming consistent evidence that WC is related to cardiovascular disease (CVD) risk factors in children and adolescents.13,14 In developing countries, the highest prevalence of childhood overweight is reported from Eastern Europe and the Mid-dle East, whereas India and Sri Lanka have the lowest prevalence.15

Another practical indicator of body fat pattern to assess pediatric central adiposity is the waist-to-height ratio (WHtR) predicting CVD risk in children and adolescents from Greece,16 Japan,17 USA,18 Hon Kong19 and Germany.20 Among 7,657 (3,777 boys) 4 to 17-year-old youths from USA, the mean WHtR was 0.463 ± 0.002 (median 0.451) which was not significantly different considering gender or age.18 Combining high WC (≥ 90th percentile) and WHtR (≥ 0.5), representing central adiposity, would predict a 3.8 fold increase in CVD risk.20 WC increases with age; but WHtR seems not to be affected by age. WHtR is suggested as the best indicator of central adiposity in both genders of adolescents.21

Children with WHtR values more than the BMI percentiles have a greater ratio of subscapular to tri-ceps skinfold thickness (SFT) corresponding to increased central subcutaneous fat.18 Compared with BMI, triceps SFT was better for screening of central obesity in Portuguese children.22 In another study on 6-12-year-old children in Swiss, the body fat percentage calculation based on 4 SFT was 40-50% more sensitive than the International Obesity Task Force (IOTF) definition of obesity.23 Because SFT is more strongly associated with body fatness, it is proposed to be the best predictor for increased risk of CVD. In fact, the sum of subscapular and triceps SFT was significantly associated with the sum of 6 traditional CVD risk factors.24 However, accurate measurement of SFT requires careful training and is limited in obese youths.25 Recently reference curves for SFT in youths from Germany, Spain and USA have reported.21,26,27

In conclusion, WHtR would serve better than WC for identifying central adiposity and CVD risk fac-tors, whereas both might be better than BMI and SFT in this regard. Since WHtR is independent of age, the term “Keep your waist circumference below half of your height” can easily kept in mind.1

Footnotes

Conflict of Interest: None declared.

REFERENCES

  • 1.McCarthy HD, Ashwell M. 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 (Lond) 2006;30(6):988–99. doi: 10.1038/sj.ijo.0803226. [DOI] [PubMed] [Google Scholar]
  • 2.Daniels SR, Morrison JA, Sprecher DL, Khoury P, Kimball TR. Association of body fat distribution and cardiovascular risk factors in children and adolescents. Circulation. 1999;99(4):541–5. doi: 10.1161/01.cir.99.4.541. [DOI] [PubMed] [Google Scholar]
  • 3.Daniels SR, Khoury PR, Morrison JA. Utility of different measures of body fat distribution in children and adolescents. Am J Epidemiol. 2000;152(12):1179–84. doi: 10.1093/aje/152.12.1179. [DOI] [PubMed] [Google Scholar]
  • 4.Brambilla P, Bedogni G, Moreno LA, Goran MI, Gutin B, Fox KR, et al. Crossvalidation of anthropometry against magnetic resonance imaging for the as-sessment of visceral and subcutaneous adipose tissue in children. Int J Obes (Lond) 2006;30(1):23–30. doi: 10.1038/sj.ijo.0803163. [DOI] [PubMed] [Google Scholar]
  • 5.Zimmet P, Alberti G, Kaufman F, Tajima N, Silink M, Arsolanian S, et al. The metabolic syndrome in children and adolescents. Lancet. 2007;369(9579):2059–61. doi: 10.1016/S0140-6736(07)60958-1. [DOI] [PubMed] [Google Scholar]
  • 6.Wang J, Thornton JC, Bari S, Williamson B, Gallagher D, Heymsfield SB, et al. Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003;77(2):379–84. doi: 10.1093/ajcn/77.2.379. [DOI] [PubMed] [Google Scholar]
  • 7.WHO. Physical status: the use and interpretation of anthropometry. London: Royal College of Physicians; 2002. Renal Association. Standards Subcommittee RCoPoL, Editor. Treatment of adults and children with renal failure: standards and audit measures; p. 854. [Google Scholar]
  • 8.Alberti KG, Zimmet P, Shaw J. The metabolic syndrome; a new worldwide definition. Lancet. 2005;366(9491):1059–62. doi: 10.1016/S0140-6736(05)67402-8. [DOI] [PubMed] [Google Scholar]
  • 9.Hatipoglu N, Ozturk A, Mazicioglu MM, Kurtoglu S, Seyhan S, Lokoglu F. Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents. Eur J Pediatr. 2008;167(4):383–9. doi: 10.1007/s00431-007-0502-3. [DOI] [PubMed] [Google Scholar]
  • 10.Schwandt P, Kelishadi R, Haas GM. First reference curves of waist circumference for German children in comparison to international values: the PEP Family Heart Study. World J Pediatr. 2008;4(4):259–66. doi: 10.1007/s12519-008-0048-0. [DOI] [PubMed] [Google Scholar]
  • 11.Kelishadi R, Schwandt P, Haas GM, Hosseini M, Mirmoghtadaee P. Reference curves of anthropometric indices and serum lipid profiles in representative samples of Asian and European children. Arch Med Sci. 2008;4(3):329–35. [Google Scholar]
  • 12.Schwandt P, Kelishadi R, Haas GM. Ethnic disparities of the metabolic syndrome in population-based samples of german and Iranian adolescents. Metab Syndr Relat Disord. 2010;8(2):189–92. doi: 10.1089/met.2009.0054. [DOI] [PubMed] [Google Scholar]
  • 13.Katzmarzyk PT, Srinivasan SR, Chen W, Malina RM, Bouchard C, Berenson GS. Body mass index, waist circumference, and clustering of cardiovascular disease risk factors in a biracial sample of children and adolescents. Pediatrics. 2004;114(2):e198–e205. doi: 10.1542/peds.114.2.e198. [DOI] [PubMed] [Google Scholar]
  • 14.Moreno LA, Pineda I, Rodriguez G, Fleta J, Sarria A, Bueno M. Waist circumference for the screening of the metabolic syndrome in children. Acta Paediatr. 2002;91(12):1307–12. doi: 10.1080/08035250216112. [DOI] [PubMed] [Google Scholar]
  • 15.Kelishadi R. Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev. 2007;29:62–76. doi: 10.1093/epirev/mxm003. [DOI] [PubMed] [Google Scholar]
  • 16.Savva SC, Tornaritis M, Savva ME, Kourides Y, Panagi A, Silikiotou N, et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord. 2000;24(11):1453–8. doi: 10.1038/sj.ijo.0801401. [DOI] [PubMed] [Google Scholar]
  • 17.Hara M, Saitou E, Iwata F, Okada T, Harada K. Waist-to-height ratio is the best predictor of cardiovascular disease risk factors in Japanese school children. J Atheroscler Thromb. 2002;9(3):127–32. doi: 10.5551/jat.9.127. [DOI] [PubMed] [Google Scholar]
  • 18.Kahn HS, Imperatore G, Cheng YJ. A population based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth. J Pediatr. 2005;146(4):482–8. doi: 10.1016/j.jpeds.2004.12.028. [DOI] [PubMed] [Google Scholar]
  • 19.Sung RY, So HK, Choi KC, Nelson EA, Li AM, Yin JA, et al. Waist circumference and waist-to-height ratio of Hong Kong Chinese children. BMC Public Health. 2008;8:324. doi: 10.1186/1471-2458-8-324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Schwandt P, Bertsch T, Haas GM. Anthropometric screening for silent cardiovascular risk factors in adolescents: The PEP Family Heart Study. Atherosclerosis. 2010;211(2):667–71. doi: 10.1016/j.atherosclerosis.2010.03.032. [DOI] [PubMed] [Google Scholar]
  • 21.Haas GM, Liepold E, Schwandt P. Percentile Curves for fat patterning in German adolescents. World J Pediatr. 2011 doi: 10.1007/s12519-011-0241-4. In Press. [DOI] [PubMed] [Google Scholar]
  • 22.Sardinha LB, Going SB, Teixeira PJ, Lohman TG. Receiver operating characteristic analysis of body mass index, triceps skinfold thickness, and arm girth for obesity screening in children and adolescents. Am J Clin Nutr. 1999;70(6):1090–5. doi: 10.1093/ajcn/70.6.1090. [DOI] [PubMed] [Google Scholar]
  • 23.Zimmermann MB, Gubeli C, Puntener C, Molinari L. Detection of overweight and obesity in a national sample of 6-12-y-old Swiss children: accuracy and validity of reference values for body mass index from the US Centers for Disease Control and Prevention and the International Obesity Task Force. Am J Clin Nutr. 2004;79(5):838–43. doi: 10.1093/ajcn/79.5.838. [DOI] [PubMed] [Google Scholar]
  • 24.Freedman DS, Katzmarzyk PT, Dietz WH, Srinivasan SR, Berenson GS. Relation of body mass index and skinfold thicknesses to cardiovascular disease risk factors in children: the Bogalusa Heart Study. Am J Clin Nutr. 2009;90(1):210–6. doi: 10.3945/ajcn.2009.27525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Mei Z, Grummer-Strawn LM, Wang J, Thornton JC, Freedman DS, Pierson RN, et al. Do skinfold measurements provide additional information to body mass index in the assessment of body fatness among children and adolescents? Pediatrics. 2007;119(6):e1306–13. doi: 10.1542/peds.2006-2546. [DOI] [PubMed] [Google Scholar]
  • 26.Moreno LA, Mesana MI, Gonzalez-Gross M, Gil CM, Ortega FB, Fleta J, et al. Body fat distribution reference standards in Spanish adolescents: the AVENA Study. Int J Obes (Lond) 2007;31(12):1798–805. doi: 10.1038/sj.ijo.0803670. [DOI] [PubMed] [Google Scholar]
  • 27.Addo OY, Himes JH. Reference curves for triceps and subscapular skinfold thicknesses in US children and adolescents. Am J Clin Nutr. 2010;91(3):635–42. doi: 10.3945/ajcn.2009.28385. [DOI] [PubMed] [Google Scholar]

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