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VALIDITY OF USING WAIST AND HIP CIRCUMFERENCE MEASUREMENTS TO DETERMINE BODY COMPOSITION OF YOUNG SYRIAN MEN

Published online by Cambridge University Press:  14 March 2016

Mahfouz Al-Bachir  and
Husam Ahmad
Mahfouz Al-Bachir*
Affiliation:
Department of Radiation Technology, Atomic Energy Commission of Syria, Damascus, Syrian Arab Republic
Husam Ahmad
Affiliation:
Department of Radiation Technology, Atomic Energy Commission of Syria, Damascus, Syrian Arab Republic
*
1Corresponding author. Email: [email protected]
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Summary

This study examined the relation between waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR) and triceps skin-fold thickness and percentage body fat in young Syrian men. The aim was to develop equations that can use these anthropometric characteristics to estimate percentage body fat in this group of subjects. A total of 2470 healthy Syrian men aged 18–19 years were enrolled in the study in 2010–2011. The anthropometric characteristics of all subjects were measured. The percentage body fat of 213 of the subjects was determined using the deuterium dilution (DD) technique as a reference method. The validity of using WC, HC, WHpR and WHtR to calculate percentage body fat, in comparison with the reference method (DD technique), was assessed by calculating biases and limits of agreement. The estimates of percentage body fat using ‘WC’ and ‘WC with triceps skin-fold’ measurements ranged from 13.00±5.56% to 14.55±8.63%, and were lower than those determined using the reference method (21.32±6.42%). A better prediction equation is proposed for young adults, based on a multiple linear regression model using WC, HC and WHtR.

Type
Research Article
Information
Journal of Biosocial Science , Volume 48 , Issue 5 , September 2016 , pp. 647 - 657
Copyright
Copyright © Cambridge University Press, 2016 

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References

Al-Lawati, J. A. & Jousilahti, P. (2008) Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorization of obesity among Omani Arabs. Public Health Nutrition 11(1), 102–108.Google Scholar
Appel, S. J. (2004) Metabolic syndrome: broadening the understanding of African-American women’s risk for cardiovascular disease. Journal of National Black Nurses Association 15(1), 7–9.Google ScholarPubMed
Bland, J. M. & Altman, D. G. (1996) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476), 307–310.Google Scholar
Bouguerra, R., Alberti, H., Smida, H. et al. (2007) Waist circumference cut-off points for identification of abdominal obesity among the Tunisian adult population. Diabetes, Obesity and Metabolism 9(6), 859–868.Google Scholar
Carpenter, C. L., Yan, E., Chen, S., Hong, K., Arechiga, A., Kim, W. S. et al. (2013) Body fat and body mass index among a multiethnic sample of college-age men and women. Journal of Obesity 2013, 790654.CrossRefGoogle ScholarPubMed
Coward, W. A. (1990) Calculation of pool size and flux rate. In Prentice, A. W. (eds) The Doubly-Labelled Water Method for Measuring Energy Expenditure. Technical Recommendation for Use in Humans. International Dietary Energy Consultancy Group, International Atomic Energy Agency, Vienna, Austria, pp. 48–68.Google Scholar
Delavari, A., Forouzanfar, M. H., Alikhani, S. et al. (2009) First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: the national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care 32(6), 1092–1097.Google Scholar
Diaz, V. A., Mainous, A. G., Baker, R. et al. (2007) How does ethnicity affect the association between obesity and diabetes? Diabetic Medicine 24(11), 1199–1204.Google Scholar
Forbes, G. B. (1987) Human Body Composition. Growth, Aging, Nutrition, and Activity . Springer–Verlag, New York.Google Scholar
Halliday, D. & Miler, A. G. (1977) Precise measurement of total body water using trace quantities of deuterium oxide. Biomedical Mass Spectrometry 4, 82–89.Google Scholar
Huxley, R., Barzi, F., Lee, C. M. et al. (2007) Waist circumference thresholds provide an accurate and widely applicable method for the discrimination of diabetes. Diabetes Care 30(12), 3116–3118.Google Scholar
Huxley, R., James, W. P., Barzi, F. et al. (2008) Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension. Obesity Reviews 9 (Supplement 1), 53–61.CrossRefGoogle ScholarPubMed
IDECG (1990) The Doubly-Labeled Water Methods for Measuring Energy Expenditure. Technical Recommendations for Use in Humans. A consensus report by the International Dietary Energy Consultancy Group, International Atomic Energy Agency, Vienna, Austria.Google Scholar
Lean, M. E. J. (2010) Management of obesity and overweight. Medicine (Obesity and Metabolic Complications) 39(1), 32–38.Google Scholar
Lean, M. E., Han, T. S. & Deurenberg, P. (1996) Predicting body composition by densitometry from simple anthropometric measurements. American Journal of Clinical Nutrition 63, 4–14.Google Scholar
Lear, S. A., Humphries, K. H., Frohlich, J. J. et al. (2007a) Appropriateness of current thresholds for obesity-related measures among Aboriginal people. Canadian Medical Association Journal 177(12), 1499–1505.Google Scholar
Lear, S. A., Humphries, K. H., Kohli, S. et al. (2007b) Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (MCHAT). American Journal of Clinical Nutrition 86(2), 353–359.CrossRefGoogle ScholarPubMed
Lear, S. A., James, P. T., Ko, G. T. et al. (2010) Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups. European Journal of Clinical Nutrition 64(1), 42–61.Google Scholar
Levenhagen, D. K., Borel, M. J., Welch, D. C., Piasecki, J. H., Piasecki, D. P., Chen, K. Y. & Flakoll, P. J. (1999) A comparison of air displacement plethysmography with three other techniques to determine body fat in healthy adults. Journal of Parenteral and Enternal Nutrition 23, 293–299.CrossRefGoogle ScholarPubMed
Lohman, T. G., Caballero, B., Himes, J. H., Davis, C. E., Stewart, D. & Houtkooper, L. (2000) Estimation of PBF from anthropometry and bioelectrical impedance in Native American children. International Journal of Obesity and Related Metabolic Disorders 24, 982–988.Google Scholar
Mansour, A. A. & Al-Jazairi, M. I. (2007) Cut-off values for anthropometric variables that confer increased risk of Type 2 diabetes mellitus and hypertension in Iraq. Archives of Medical Research 38, 253–258.Google Scholar
Matsushita, Y., Nakagawa, T., Shinohara, M., Yamamoto, S., Takahashi, Y. Y., Mizoue, T. et al. (2014) How can waist circumference predict the body composition? Diabetology and Metabolic Syndrome 6, 11.Google Scholar
Morimoto, A., Nishimura, R., Kanda, A., Sano, H., Matsudaira, T., Miyashita, Y. et al. (2007) Waist circumference estimation from BMI in Japanese children. Diabetes Research and Clinical Practice 75, 96–98.Google Scholar
Neovius, M., Linne, Y. & Rossner, S. (2005) BMI, waist circumference and waist-hip-ratio as diagnostic tests for fatness in adolescents. International Journal of Obesity and Related Metabolic Disorders 29, 163–169.Google Scholar
Oka, R., Miura, K., Sakurai, M., Nakamura, K., Yagi, K., Miyamoto, S. et al. (2009) Comparison of waist circumference with body mass index for predicting abdominal adipose tissue. Diabetes Research and Clinical Practice 83, 100–105.Google Scholar
Pace, N. & Rathburn, E. N. (1945) Study on body composition. III: The body water and chemically combined nitrogen content in relation to fat content. Journal of Biological Chemistry 158, 685–691.CrossRefGoogle Scholar
Palaniappan, L., Carnethon, M. R., Wang, Y., Hanley, A. J., Fortmann, S. P., Haffner, S. M. et al. (2004) Predictors of the incident metabolic syndrome in adults: the Insulin Resistance Atherosclerosis Study. Diabetes Care 27(3), 788–793.Google Scholar
Park, K. (2005) Park’s Textbook of Preventive and Social Medicine, 18th edition. Banarsidas Bhanot Publishers, Jabalpur, pp. 285–328.Google Scholar
Rastogi, P., Pinto, D. S., Pai, M. R. & Kanchan, T. (2012) An autopsy study of coronary atherosclerosis and relation to anthropometric measurements/indices of overweight and obesity in men. Journal of Forensic and Legal Medicine 19, 12–17.Google Scholar
Rush, E. C., Freitas, I. & Plank, L. D. (2009) Body size, body composition and fat distribution: comparative analysis of European, Maori, Pacific Island and Asian Indian adults. British Journal of Nutrition 102(4), 632–641.Google Scholar
Rush, E. C., Goedecke, J. H., Jennings, C. et al. (2007) BMI, fat and muscle differences in urban women of five ethnicities from two countries. International Journal of Obesity 31(8), 1232–1239.CrossRefGoogle ScholarPubMed
Ryan, J. M., Crowley, V. E., Hensey, O., McGahey, A. & Gorml, J. (2014) Waist circumference provides an indication of numerous cardiometabolic risk factors in adults with cerebral palsy. Archives of Physical Medicine and Rehabilitation, April 2014, pii, S0003–9993(14)00280-0028-9, doi: 10.1016/j.apmr.2014.03.029.Google Scholar
Sebo, P., Beer-Borst, S., Haller, D. M. & Bovier, P. (2008) Reliability of doctors, anthropometric measurements to detect obesity. Preventive Medicine 47, 389–393.Google Scholar
Taylor, R. W., Williams, S. M., Grant, A. M., Ferguson, E., Taylor, B. J. & Goulding, A. (2008) Waist circumference as a measure of trunk fat mass in children aged 3 to 5 years. International Journal of Pediatric Obesity 3, 226–233.CrossRefGoogle ScholarPubMed
Valencia, M. E., Aleman-Mateo, H., Slazar, G. & Hernandez-Triana, M. (2003) Body composition by hydrometry (deuterium oxide dilution) and bioelectrical impedance in subjects aged >60 y from rural regions of Cuba, Chile and Mexico. International Journal of Obesity 27, 848–855.Google Scholar
Wang, J. (2003) Waist circumference: a simple, intensive, and reliable tool that should be included as part of physical examinations in the doctor’s office. American Journal of Clinical Nutrition 78, 902–903.Google Scholar
WHO (2011) Waist Circumference and Waist-Hip Ratio. Report of WHO Expert Consultation, Geneva, 8–11th December 2008.Google Scholar
Wildman, R. P., Gu, D., Reynolds, K., Duan, X. & He, J. (2004) Appropriate body mass index and waist circumference cutoffs for categorization of overweight and central adiposity among Chinese adults. American Journal of Clinical Nutrition 80, 1129–1136.Google Scholar