2010, Number 6
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Rev Invest Clin 2010; 62 (6)
Validation of body composition estimation equations by bioelectric impedance in postmenopausic women with metabolic syndrome
Balas-Nakash M, Legorreta-Legorreta J, Rodríguez-Cano A, Aguilera-Pérez R, Perichart-Perera O
Language: Spanish
References: 39
Page: 538-545
PDF size: 86.70 Kb.
ABSTRACT
Introduction. Postmenopausal women have excess adiposity due to the lack of estrogens, which is related with an increase in the prevalence of metabolic syndrome (MS) risk factors. Few equations have been developed to measure body fat mass (FM) by bioelectric impedance (BIA) for Mexican women and none of the existing equations have been evaluated in Mexican postmenopausal women with MS.
Material and methods. We describe the association and agreement between two different BIA equations: NHANES III and Macias, et al. to estimate FM in 86 women (42-72 years old). Anthropometric and body composition measurements (BIA) were done in all women; FM was measured by densitometry (DXA). Mean differences by age group (‹ 55 years old and ≥ 55 years old) (Student t test), correlations, simple linear regression models and agreement analysis (Bland-Altman method) were done.
Results. The two equations showed underestimation of %FM compared to DXA. The equation that presents the greatest correlation and agreement with the gold standard is the NHANES equation, in both age groups.
Conclusions. The NHANES equation is valid to estimate FM in Mexican postmenopausal women with MS. We recommend the use of this equation in the clinical practice.
REFERENCES
Zárate A, Basurto L, Hernández M. El síndrome metabólico de la mujer posmenopáusica. Implicaciones clínicas. Gac Med Méx 2003; 139(6): 625-8.
Estadísticas de mortalidad. Porcentajes de defunciones generales de 30 a 64 años por sexo y principales causas 1990 a 2007. En línea (2009): www.inegi/gob/mx
Carr M. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab 2003; 88: 2404-11.
Chedraui P, Hidalgo L, Chávez D, Morocho N, Alvarado M, Huc A. Menopausal symptoms and associated risk factors among postmenopausal women screened for the metabolic syndrome. Arch Gynecol Obstet 2007; 275: 161-8.
Maturana MA, Iirigoyen MC, Spritzer PM. Menopause, estrogens and endothelial dysfunction: current concepts. Clinics 2007; 62(1): 77-86.
Hernández-Ono A, Monter-Carreola G, Zamora-Gonzalez J, Cardoso-Saldaña G, Posadas-Sánchez R, Torres-Tamayo M, et al. Association of visceral fat with coronary risk factors in a population-based simple of postmenopausal women. Int J Obes 2002; 26: 33-9.
Olaiz G, Rivera J, Shamah T, Rojas R, Villalpando S, Hernández M, Sepúlveda J. Encuesta Nacional de Salud y Nutrición 2006. Instituto Nacional de Salud Pública. Cuernavaca, México 2006.
Grundy S, Cleeman J, Daniels S, Donato K, Eckel R, Franklin B, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005; 112(17): 2735-52.
Dehghan M, Merchant AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J 2008; 7: 26-33.
Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet 2009; 373(9669): 1083-96.
Gallgher D, Heymsfeld S, Heo M, Jebb S, Murgatroyd P, Sakamoto Y. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 2000; 72: 694-701.
Heiss C, Donovan L, Hyshaw T, Revere S, Summerville M, Dueck A, et al. Association of body mass index and adiposity in postmenopausal women. J Am Diet Assoc 2009; 109(9): A22.
Sun G, French CR, Martin GR, Younghusband B, Green RC, Xie YG, et al. Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. Am J Clin Nutr 2005; 81: 74-8.
Vsetulová E, Bunc V. The use of bioimpedance analysis for the assessment of relative body fat in obese women. Cas Lek Cesk 2004; 143(8): 528-32.
Macias N, Alemán-Mateo H, Esparza-Romero J, Valencia M. Body fat measurement by bioelectrical impedance and air displacement plethysmography: a cross-validation study to design bioelectrical impedance equations in Mexican adults. Nutr J 2007; 6: 18-25.
Sun S, Chumlea C, Heymsfield S, Lukaski H, Schoeller D, Friedl K, et al. Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Clin Nutr 2003; 77: 331-40.
Barbosa-Silva MC, Barros AJ. Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care 2005; 8(3): 311-7.
Expert panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults. 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 2001; 285: 2486–96.
Organización Mundial de la Salud. Report of a WHO consultation on obesity. Obesity: preventing and managing the global epidemic. WHO Technical report series No 894. Ginebra, Suiza 2000.
International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. IDF Communications 2006.
Lohman TG. Advances in body composition assessment. Champaign, Illinois: Human Kinetics Publishers; 1992.
National Institutes of Health. National Heart, Lung and Blood Institute. Clinical Guidelines on the identification, evaluation and treatment of overweight and obesity in adults. The Evidence Report. United States 1998.
Pietrobelli A, Formica C, Wang Z, Heymsfield SB. Dual-energy X-ray absorptiometry body composition model: review of physical concepts. Am J Physiol 1996; 271(6): 941-51.
Kuczmarski RJ. Bioelectrical impedance analysis measurements as part of a national nutrition survey. Am J Clin Nutr 1996; 64(Suppl 3): S453–S458.
Bioelectrical impedance analysis in body composition measurement: National Institutes of Health Technology Assessment Conference Statement. Am J Clin Nutr 1996; (Suppl 3): S524-S532.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-10.
Heyward V, Wagner D. Applied body composition assessment. 2nd Ed. Champaign, Illinois: Human Kinetics Publishers; 2004.
Kontogianni M, Panagiotakos D, Skopouli F. Does body mass index reflect adequately the body fat content in perimenopausal women? Maturitas 2005; 51(3): 307-13.
Das SK. Body composition measurement in severe obesity. Curr Opin Clin Nutr Metab Care 2005; 8: 602-6.
Newton RL Jr, Alfonso A, York-Crowe E, Walden H, White MA, Ryan D, Williamson DA. Comparison of body composition methods in obese African-American women. Obesity 2006; 14(3): 415-22.
Horie LM, Barbosa-Silva MC, Torrinhas RS, De Mello MT, Cecconello I, Waitzberg DL. New body fat prediction equations for severely obese patients. Clin Nutr 2008; 27(3): 350-6.
Deurenberg P. Limitations of the bioelectrical impedance method for the assessment of body fat in severe obesity. Am J Clin Nutr 1996; 64(Suppl 3): S449-S452.
Chumlea WC, Guo SS, Kuczmarski RJ, Flegal KM, Johnson CL, Heymsfield SB, et al. Body composition estimates from NHANES III bioelectrical impedance data. Int J Obes Relat Metab Disord 2002; 26(12): 1596-609.
Pilchard C, Kyle UG, Brace D, Salesman DO, Moravia A, Schutz Y. Reference values of fat-free and fat masses by bioelectrical impedance analysis in 3393 healthy subjects. Nutrition 2000; 16: 245–54.
Kyle UG, Genton L, Slosman DO, Pichard C. Fat-free and fat mass percentiles in 5225 healthy subjects aged 15 to 98 years. Nutrition 2001; 17: 534-41.
Mott JW, Wang J, Thornton JC, Allison DB, Heymsfield SB, Pierson RN. Relation between body fat and age in 4 ethnic groups. Am J Clin Nutr 1999; 69: 1007-13.
Wang Q, Hassager C, Ravn P, Wang S, Christiansen C. Total and regional body-composition changes in early postmenopausal women: age-related or menopause-related? Am J Clin Nutr 1994; 60: 843-8.
Guo SS, Chumlea WC, Heymsfield SB, et al. Development of bioelectrical impedance prediction equations for body composition using a multicomponent model for use in epidemiological surveys. Am J Clin Nutr 2003; 77(2): 331-40.
Lukaski HC, Bolonchuk WW, Hall CB, Siders WA. Validation of tetrapolar bioelectrical impedance method to assess human body composition. J Appl Physiol 1986; 60(4): 1327-32.