Anthropometrical Reference Data for Uzbek Women: Results of the Population Research in the Republic of Uzbekistan

Said I. Ismailov, PhD, ScD*; Gulnara N. Rakhimova, PhD, ScD; Anna V. Alieva

Center for the Scientific and Clinical Study of Endocrinology, Tashkent, The Republic of Uzbekistan

*Corresponding author: Prof. Said I. Ismailov. Center for the Scientific and Clinical Study  of Endocrinology. Tashkent, Uzbekistan. E-mail: ismailov.said@list.ru

Published: June 16, 2017.  doi: 10.21103/Article7(2)_OA7

Abstract: 

The aim of this study was to develop anthropometrical reference data for women of Uzbek nationality. In total, 1413 women of Uzbek nationality aged ≥35 years were studied. BMI was calculated for 411 women. The reference values of BMI for Uzbek women vary from 19.4 to 24.8kg/m2; BMI 22.7kg/m2 corresponds to the 50th percentile. These results correspond to the WHO criteria for European populations. The reference values of WC vary from 65.0 to 90.0cm. The conventional cut-off for normal WC (80cm) corresponded to the 75th percentile of the analysis among women of Uzbek nationality without any carbohydrate metabolism disorders and with normal BMI. WC equal to 76cm corresponds to the 50th percentile. Thus, the cut-off of WC for Uzbek women is 90.0cm, which is a mismatch to the European criteria. Average value of WHR was 0.80±0.07. Reference values of WHR vary of 0.69 to 0.93. WHR 0.8 corresponds to the 80th percentile. The obtained reference ranges are recommended to reveal the prevalence of MS and its components at the stage of revealing of risk groups in Uzbek women.

Keywords: 
body mass index ● waist circumference ● waist-to-hip ratio ● hips circumference
References: 
  1. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement: Executive Summary. Crit Pathw Cardiol. 2005 Dec;4(4):198-203.
  2. Aguiree F, Brown A, Cho NH, Dahlquist G, Dodd Sh, Dunning T, et al. IDF Diabetes Atlas: sixth edition.  Basel: International Diabetes Federation; 2013.
  3. Lindstrom J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31.
  4. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation (WHO Technical Report Series 894). Geneva: World Health Organization; 2000.
  5. Wen CP, David Cheng TY, Tsai SP, Chan HT, Hsu HL, Hsu CC, Eriksen MP. Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians. Public Health Nutr. 2009;12(4):497-506. doi: 10.1017/S1368980008002802.
  6. de Onis M, Habicht JP. Anthropometric reference data for international use: recommendations from a World Health Organization Expert Committee. Am J Clin Nutr. 1996;64(4):650-8.
  7. Saaristo T, Peltonen M, Lindstrom J, Saarikoski L, Sundvall J, Eriksson JG, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res. 2005;2(2):67-72.
  8. IDF Consensus Worldwide Definition of the Metabolic Syndrome, 2006. Available from: https://www.idf.org/e-library/consensus-statements/60-idfconsensus-world...
  9. Stern MP, Williams K, González-Villalpando C, Hunt KJ, Haffner SM. Does the metabolic syndrome improve identification of individuals at risk of type 2 diabetes and/or cardiovascular disease? Diabetes Care 2004;27(11):2676-81.
  10. V.R. Preedy (ed.), Handbook of Anthropometry: Physical Measures of Human Form in Health and Disease, DOI 10.1007/978-1-4419-1788-1_2, © Springer Science+Business Media, LLC 2012
  11. Anuurad E, Shiwaku K, Nogi A, Kitajima K, Enkhmaa B, Shimono K, Yamane Y. The new BMI criteria for asians by the regional office for the western pacific region of WHO are suitable for screening of overweight to prevent metabolic syndrome in elder Japanese workers. J Occup Health. 2003;45(6):335-43.
  12. Polyakov VC, Averyanov AP, Bolotova NB. Body mass index and waist circumference standards: their role in the diagnosis of obesity. Pediatria. 2009; 88(6):17-20. [Article in Russian].
  13. Jafar TH, Islam M, Poulter N, Hatcher J, Schmid CH, Levey AS, Chaturvedi N. Children in South Asia have higher body mass-adjusted blood pressure levels than white children in the United States: a comparative study. Circulation. 2005;111(10):1291-7.
  14. Azimova Sh, Rakhimova G. Waist circumference percentiles in a nationally representative sample of 7-18 years old Uzbek children and adolescents. Medical and Health Science Journal. 2013;14(3):123-27.
  15. Haldar S, Chia SC, Henry CJ. Body Composition in Asians and Caucasians: Comparative Analyses and Influences on Cardiometabolic Outcomes. Adv Food Nutr Res. 2015;75:97-154. doi: 10.1016/bs.afnr.2015.07.001.
  16. He M, Li ET, Harris S, Huff MW, Yau CY, Anderson GH. Canadian global village reality: anthropometric surrogate cutoffs and metabolic abnormalities among Canadians of East Asian, South Asian, and European descent. Can Fam Physician. 2010;56(5):e174-82.
  17. Razak F, Anand SS, Shannon H, Vuksan V, Davis B, Jacobs R, et al. Defining obesity cut points in a multiethnic population. Circulation. 2007;115(16):2111-8.
  18. Razak F, Anand S, Vuksan V, Davis B, Jacobs R, Teo KK, Yusuf S; SHARE Investigators. Ethnic differences in the relationships between obesity and glucose-metabolic abnormalities: a cross-sectional population-based study. Int J Obes (Lond). 2005;29(6):656-67.
  19. 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 Obes Relat Metab Disord. 2000;24(8):1011-7.
  20. Lin WY, Lee LT, Chen CY, Lo H, Hsia HH, Liu IL, et al. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord. 2002;26(9):1232-8.
  21. Hermanussen M, Meigen C. Synthetic standards for body weight. Homo. 2003;54(2):142-56.
  22. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia. Report of a WHO/IDF consultation. WHO, IDF; 2006. Available from: http://apps.who.int/iris/bitstream/10665/43588/1/9241594934_eng.pdf
  23. Boffetta P, McLerran D, Chen Y, Inoue M, Sinha R, He J, et al. Body mass index and diabetes in Asia: a cross-sectional pooled analysis of 900,000 individuals in the Asia cohort consortium. PLoS One. 2011;6(6):e19930. doi: 10.1371/journal.pone.0019930.
  24. 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 Jul;86(1):105-12.
  25. Oh SW, Shin SA, Yun YH, Yoo T, Huh BY. Cut-off point of BMI and obesity-related comorbidities and mortality in middle-aged Koreans. Obes Res. 2004;12(12):2031–40.

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IInternational Journal of Biomedicine. 2017;7(2):120-125. © 2017 International Medical Research and Development Corporation. All rights reserved.