Métodos de análise da composição corporal em adultos obesos
Palavras-chave:
Obesidade, Osteoporose, SarcopeniaResumo
Os métodos de avaliação da composição corporal em obesos têm sido amplamente discutidos, uma vez que nesses indivíduos a avaliação é dificultada devido às limitações dos equipamentos e características dos métodos utilizados. Esta sessão temática tem o objetivo de esclarecer as características, vantagens e limitações dos métodos de avaliação da composição corporal em adultos obesos. A quantificação de gordura corporal e massa livre de gordura, assim como a avaliação da perda de massa muscular e de massa óssea em obesos são temas de grande interesse científico, uma vez que são utilizados para diagnosticar a obesidade steosarcopênica. A avaliação da composição corporal de obesos pelo modelo de múltiplos compartimentos é padrão-ouro na prática científica. Por outro lado, o método de absorciometria radiológica de feixe duplo é considerado o padrão de referência em pesquisas e na prática clínica. Estudos indicam que a ressonância magnética e a tomografia computadorizada, em alguns casos, são fortemente correlacionadas com a absorciometria radiológica de feixe duplo. Os demais métodos apresentam limitações em avaliar a composição corporal, bem como suas modificações durante a redução ponderal em indivíduos obesos.
Referências
Brasil. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2012 [acesso 2014 jan 12]. Disponível em: <http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_2012.pdf>.
World Health Organization. World health statistics: Progress on the health-related millennium development goals. Geneva: WHO; 2012 [cited 2013 Nov 30]. Available from: <http://www.who.int/gho/publications/world_health_statistics/2012/en /index.html>.
Moyer VA. Screening for and management of obesity in adults: U.S. preventive services task force recommendation statement. Ann Intern Med. 2012; 157(5):1-32. doi: 10.7326/0003-4819-157-5-201209040-00482
Beechy L, Galpern J, Petrone A, Das SK. Assessment tools in obesity: Psychological measures, diet, activity, and body composition. Physiol Behav. 2012; 107(1):154-71. doi: 10.1016/j.physbeh.2012.04.013
Prado CM, Wells JC, Smith SR, Stephan BC, Siervo M. Sarcopenic obesity: A critical appraisal of the current evidence. Clin Nutr. 2012; 31(5):583-601.doi: 10.1016/j.clnu.2012.06.010
Heymsfield SB, Wang Z, Baumgartner RN, Ross R. Human body composition: Advances in models and methods. Annu Rev Nutr. 1997; 17(1):527-58.
Lutoslawska G, Malara M, Tomaszewski P, Mazurek K, Czajkowska A, Kêska A, et al. Relationship between the percentage of body fat and surrogate indices of fatness in male and female Polish active and sedentary students. J Physiol Anthropol. 2014; 33(1):10. doi: 10.1186/1880-6805-33-10
Das SK. Body composition measurement in severe obesity. Curr Opin Clin Nutr Metab Care. 2005; 8(6):602-6.
Heyward V, Stolarczyk L. Applied body composition assessment. Champaign (IL): Human Kinetics Books; 1996.
Jackson AS, Pollock ML. Pratical assessment of body composition. Physician Sport Med. 1985; 13:256-62.
Martin AD, Drinkwater DT, Clarys JP, Daniel M, Ross WD. Effects of skin thickness and skinfold compressibility on skinfold thickness measurement. Am J Hum Biol. 1992; 4(4):453-60.
Elder SJ, Roberts SB, McCrory MA, Das SK, Fuss PJ, Pittas AG, et al. Effect of body composition methodology on heritability estimation of body fatness. Open Nutr J. 2012; 6(1):48-58. doi: 10.2174/1874288201206010048
Lukaski HC. Methods for the assessment of human body composition: Traditional and new. Am J Clin Nutr. 1987; 46(4):537-56.
Chambers AJ, Parise E, McCrory JL, Cham R. A comparison of prediction equations for the estimation of body fat percentage in non-obese and obese older Caucasian adults in the United States. J Nutr Health Aging. 2014; 18(6):586-90. doi: 10.1007/s12603-014-0017-3
Heyward VH. Practical body composition assessment for children, adults, and older adults. Int J Sport Nutr. 1998; 8(3):285-307.
Heyward VH, Cook KL, Hicks VL, Jenkins KA, Quatrochi JA, Wilson WL. Predictive accuracy of three field methods for estimating relative body fatness of nonobese and obese women. Int J Sport Nutr. 1992; 2(1):75-86.
Di Renzo L, Rizzo M, Lacopino L, Sarlo F, Domino E, Jacoangeli F, et al. Body composition phenotype: Italian Mediterranean Diet and C677T MTHFR gene polymorphism interaction. Eur Rev Med Pharmacol Sci. 2013; 17(19):2555-65.
Frisard MI, Greenway FL, Delany JP. Comparison of methods to assess body composition changes during a period of weight loss. Obes Res. 2005; 13(5):845-54.
Bosy-Westphal A, Schautz B, Later W, Kehayias JJ, Gallagher D, Müller MJ. What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur J Clin Nutr. 2013; 67(Suppl 1):S14-21. doi: 10.1038/ejcn.2012.160
Bosaeus M, Karlsson T, Holmäng A, Ellegård L. Accuracy of quantitative magnetic resonance and eight-electrode bioelectrical impedance analysis in normal weight and obese women. Clin Nutr. 2014; 33(3):417-77. doi: 10.1016/j.clnu.2013.06.017
Riebl SK, Davy BM. The Hydration Equation: Update on water balance and cognitive performance. ACSM’S Health & Fitness J. 2013; 17(6):21-8. doi: 10.1249/FIT.0b013e3182a9570f
Heyward VH, STOLARCZYK LM. Avaliação da composição corporal aplicada. São Paulo: Barueri; 2000.
Sillanpää E1, Cheng S, Häkkinen K, Finni T, Walker S, Pesola A, et al. Body composition in 18- to 88- year-old adults-comparison of multifrequency bioimpedance and dual-energy X-ray absorptiometry. Obesity. 2014; 22(1):101-9. doi: 10.1002/oby.20 583
Thomson R, Brinkworth GD, Buckley JD, Noakes
M, Clifton PM. Good agreement betweenbioelectrical impedance and dual-energy X-ray absorptiometry for estimating changes in body
composition during weight loss in overweight young women. Clin Nutr. 2007; 26(6):771-7.
Andreoli A, Melchiorri G, De Lorenzo A, Caruso I, Sinibaldi Salimei P, Guerrisi M. Bioelectrical impedance measures in different position and vs Dual-Energy X-ray Absorptiometry (DXA). J Sports Med Phys Fitness. 2002; 42(2):186-9.
Pateyjohns IR, Brinkworth GD, Buckley JD, Noakes M, Clifton PM. Comparison of three bioelectrical impedance methods with DXA in overweight and obese men. Obesity. 2006; 14(11):2064-70.
Lafortuna CL, Maffiuletti NA, Agosti F, Sartorio A. Gender variations of body composition, muscle strength and power output in morbid obesity. Int J Obes Relat Metab Disord. 2005; 29(7):833-41.
Regitz-Zagrosek V, Lehmkuhl E, Weickert M. Gender differences in the metabolic syndrome and their role for cardiovascular disease. Clin Res Cardiol. 2006; 95(3):136-47.
Coppini LZ, Waitzberg DL, Campos ACL. Limitations and validation of bioelectrical impedace analysis in morbidly obese patients. Curr Opin Clin Nutr Metab Care. 2005; 8(3):329-32.
Pérez-Matute P, Pérez-Martínez L, Blanco JR, Ibarra V, Metola L, Sanz M, et al. Multiple frequency bioimpedance is an adequate tool to assess total and regional fat mass in HIV-positive patients but not to diagnose HIV-associated lipoatrophy: A pilot study. J Int AIDS Soc. 2013; 16(1):18609.
Foss ML, Keteyian SJ. Bases fisiológicas do exercício e do esporte. Rio de Janeiro: Guanabara Koogan; 2000.
Wagner DR, Heyward VH. Techniques of body composition assessment: A review of laboratory and field methods. Res Q Exerc Sport. 1999; 70(2):135-9.
Hind K, Oldroyd B, Truscott JG. In vivo precision of the GE Lunar iDXA densitometer for the measurement of total body composition and fat distribution in adults. Eur J Clin Nutr. 2011; 65(1):140-2.
Silver HJ, Welch EB, Avison MJ, Niswender KD. Imaging body composition in obesity and weight loss: challenges and opportunities. Diabetes Metab Syndr Obes. 2010; 28; 3(1):337-47. doi: 10.2147/DMSOTT.S9454
Kamel EG, McNeill G, Van Wijk MC. Usefulness of anthropometry and DXA in predicting intraabdominal fat in obese men and women. Obes Res. 2000; 8(1):36-42.
Bertin E, Marcus C, Ruiz JC, Eschard JP, Leutenegger M. Measurement of visceral adipose tissue by DXA combined with anthropometry in obese humans. Int J Obes Relat Metab Disord. 2000; 24(3):263-70.
Direk K, Cecelja M, Astle W, Chowienczyk P, Spector TD, Falchi M, et al. The relationship between DXAbased and anthropometric measures of visceral fat and morbidity in women. BMC Cardiovasc Disord. 2013; 13(1):25.
Rothney MP, Xia Y, Wacker WK, Martin FP, Beaumont M, Rezzi S, et al. Precision of a new tool to measure Visceral Adipose Tissue (VAT) using Dual-Energy X-Ray Absorptiometry (DXA). Obesity. 2013; 21(3):E134-6.
Hendel HW, Gotfredsen A, Andersen T, Hojgaard L, Hilsted J. Body composition during weight loss in obese patients estimated by dual energy X-ray absorptiometry and by total body potassium. Int J Obes Relat Metab Disord. 1996; 20(12):1111-9.
Toombs RJ, Ducher G, Shepherd JA, De Souza MJ. The Impact of Recent Technological Advances on the Trueness and Precision of DXA to Assess Body Composition. Obesity. 2012; 20(1):30-9.
IAEA Library Cataloguing in Publication Data Dual energy X ray absorptiometry for bone mineral density and body composition assessment. Vienna: International Atomic Energy Agency; 2010.
McCrory MA, Gomez TD, Bernauer EM, Molé PA. Evaluation of a new air displacement plethysmograph for measuring human body composition. Med Sci Sports Exerc. 1995; 27(12):1686-91.
Waki M, Kral JG, Mazariegos M, Wang J, Pierson Jr RN, Heymsfield SB. Relative expansion of extracellular fluid in obese vs. nonobese women. Am J Physiol. 1991; 261(1):199-203.
Minderico CS, Silva AM, Teixeira PJ, Sardinha LB, Hull HR, Fields DA. Validity of air-displacement plethysmography in the assessment of body composition changes in a 16-month weight loss program. Nutr Metab. 2006; 3(1):32-40.
Vescovi JD, Zimmerman SL, Miller WC, Hilderbrandt L, Hammer I, Fernall B. Evaluation of the BODPOD for estimating percentage body fat in a heterogeneous group of adult humans. Eur J Appl Physiol. 2001; 85(3-4):326-32.
Le Carvennec M, Fagour C, Adenis-Lamarre E, Perlemoine C, Gin H, Rigalleau V. Body composition of obese subjects by air displacement plethysmography: The influence of hydration. Obesity. 2007; 15(1):78-84.
Weyers AM, Mazzetti SA, Love DM, Gomez AL, Kraemer WJ, Volek JS. Comparison of methods for assessing body composition changes during weight loss. Med Sci Sports Exerc. 2002; 34(3):497-502.
Hames KC, Anthony SJ, Thornton JC, Gallagher D, Goodpaster BH. Body composition analysis by air displacement plethysmography in normal weight to extremely obese adults. Obesity. 2013; 22(4):1078-84.
Lukaski HC. Methods for the assessment of human body composition: Traditional and new. Am J Clin Nutr. 1987; 46(4):537-56.
Heath EM, Adams TD, Daines MM, Hunt SC. Bioelectric impedance and hydrostatic weighing with and without head submersion in persons who are morbidly obese. J Am Diet Assoc. 1998; 98(8):869-75.
Ellis KJ. Human body composition: In vivo methods. Physiol Rev. 2000; 80(2):649-80.
Mcardle WD, Katch FI, Katch VL. Fisiologia do exercício: energia, nutrição e desempenho humano. 4ª ed. Rio de Janeiro: Guanabara Koogan; 1998.
Gallagher D, Thornton JC, He Q, Wang J, Yu W, Bradstreet TE, et al. Quantitative magnetic resonance fat measurements in humans correlate with established methods but are biased. Obesity. 2010; 18(10):2047-54.
Lee S, Kuk JL. Changes in fat and skeletal muscle with exercise training in obese adolescents: Comparison of whole-body MRI and dual energy X-ray absorptiometry. Obesity. 2013; 21(10):2063-71.
Brooke-Wavell K, Jones PR, Norgan NG, Hardman AE. Evaluation of near infra-red interactance for assessment of subcutaneous and total body fat. Eur J Clin Nutr. 1995; 49(1):57-65.
Panotopoulos G, Ruiz JC, Guy-Grand B, Basdevant A. Dual x-ray absorptiometry, bioelectrical impedance, and near infrared interactance in obese women. Med Sci Sports Exerc. 2001; 33(4):665-70.
Prado CM, Bekaii-Saab T, Doyle LA, Shrestha S, Ghosh S, Baracos VE, et al. Skeletal muscle anabolism is a side effect of therapy with the, MEK inhibitor: Selumetinib in patients with cholangiocarcinoma. Br J Cancer. 2012; 106(10):1583-6. doi: 10.1038/bjc.2012.144
Pontiroli AE, Pizzocri P, Giacomelli M, Marchi M, Vedani P, Cucchi E, et al. Ultrasound measurement of visceral and subcutaneous fat in morbidly obese patients before and after laparoscopic adjustable gastric banding: Comparison with computerized tomography and with anthropometric measurements. Obes Surg. 2002; 12(5):648-51.
Radominski RB, Vezozzo DP, Cerri GG, Halpern A. O Uso da ultra-sonografia na avaliação da distribuição de gordura abdominal. Arq Bras ndocrinol Metab. 2000; 44(1):5-12.
Pineau JC, Lalys L, Bocquet M, Guihard-Costa AM, Polak M, Frelut ML, et al. Ultrasound measurement of total body fat in obese adolescents. Ann Nutr Metab. 2010; 56(1):36-44.
Park BS, Yoon JS. Relative skeletal muscle mass is associated with development of metabolic syndrome. Diabetes Metab J. 2013; 37(6):458-64.doi: 10.4093/dmj.2013.37.6.458
Baumgartner RN, Heymsfield SB, Lichtman S, Wang J, Pierson RN Jr. Body composition in elderly people: Effect of criterion estimates on predictive equations. Am J Clin Nutr. 1991; 53(6):1345-53.
Heymsfield SB, Wang J, Aulet M, Kehayias J, Lichtman S, Kamen Y, et al. Dual photon absorptiometry: validation of mineral and fat
measurements. In: Yasumura S, Harrison JE, McNeill G, Woodhead AD, Dilmanian FA, Editor. In vivo body composition studies. New York: Plenum Press; 1990.
Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998; 147(8):755-63.
Janssen I, Heymsfield SB, Baumgartner RN, Ross R. Estimation of skeletal muscle mass by bioelectrical impedance analysis. J Appl Physiol. 2000; 89(2):465-71.
Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. European Working Group on Sarcopenia in Older People. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010; 39(4):412-23. doi: 10.1093/ageing/afq034
Davison KK, Ford ES, Cogswell ME, Dietz WH. Percentage of body fat and body mass index are associated with mobility limitations in people aged 70 and older from NHANES III. J Am Geriatr Soc. 2002; 50(11):1802-9.
Ritz P. Obesity in the elderly: Should we be using new diagnostic criteria? J Nutr Health Aging. 2009; 13(3):168-9.
Batsis JA, Barre LK, Mackenzie TA, Pratt SI, LopezJimenez F, Bartels SJ. Variation in the prevalence of sarcopenia and sarcopenic obesity in older adults associated with different research definitions: Dualenergy X-ray absorptiometry data from the National Health and Nutrition Examination Survey 1999-2004. J Am Geriatr Soc. 2013; 61(6):974-80.
Coxam V. [New advances in osteoporosis nutritional prevention]. Med Sci (Paris). 2005; 21(3):297-301.
Looker AC, Flegal KM, Melton LJ. Impact of increased overweight on the projected prevalence of osteoporosis in older women. Osteoporos Int. 2007; 18(3):307-13.
Castro JP, Joseph LA, Shin JJ, Arora SK, Nicasio J, Shatzkes J, et al. Differential effect of obesity on bone mineral density in White, Hispanic and African American women: A cross sectional study. Nutr Metab (Lond). 2005; 2(1):9.
Beck TJ, Petit MA, Wu G, LeBoff MS, Cauley JA, Chen Z. Does Obesity Really Make the Femur Stronger? BMD, Geometry, and Fracture Incidence in the Women’s Health Initiative-Observational Study. J Bone Miner Res. 2009; 24(8):1369-79. doi: 10.1359/jbmr.090307
World Health Organization. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Géneve: WHO; 1994. Technical Report Series, nº 843.
Petak S, Barbu CG, Yu EW, Fielding R, Mulligan K, Sabowitz B, et al. The official positions of the international society for clinical densitometry: Body composition analysis reporting. J Clin Densitom. 2013; 16(4):508-19. doi: 10.1016/j.jocd.2013.08.018
Marwaha RK, Garg MK, Tandon N, Mehan N, Sastry A, Bhadra K. Relationship of body fat and its distribution with bone mineral density in Indian population. J Clin Densitom. 2013; 16(3):353-9. doi: 10.1016/j.jocd.2012.08.074
National Institutes of Health Consensus Development Conference Statement. Health implications of obesity. Ann Intern Med. 1985;
:147-51.
Gudbergsen H, Lohmander LS, Jones G, Christensen R, Bartels EM, Danneskiold-Samsoe B, et al. Correlations between radiographic assessments and MRI features of knee osteoarthritis: A crosssectional study. Osteoarthritis Cartilage. 2013; 21(4):535-43. doi: 10.1016/j.joca.2012.12.010
Zemel BS. Quantitative computed tomography and computed tomography in children. Curr Osteoporos Rep. 2011; 9(4):284-90. doi: 10.1007/s11914-011-0076-x
Ilich JZ, Kelly OJ, Inglis JE, Panton LB, Duque G, Ormsbee MJ. Interrelationship among muscle, fat, and bone: Connecting the dots on cellular, hormonal, and whole body levels. Ageing Res Rev. 2014; 15:51-60. doi: 10.1016/j.arr.2014.02.007
Ormsbee MJ, Prado CM, Ilich JZ, Purcell S, Siervo M, Folsom A, et al. Osteosarcopenic obesity: The role of bone, muscle and fat on health. J Cachexia Sarcopenia Muscle. 2014; 5(3):183-92.
Waters DL, Hale L, Grant AM, Herbison P, Goulding A. Osteoporosis and gait and balance disturbances in older sarcopenic obese New Zealanders. Osteoporos Int. 2010; 21(2):351-7. doi: 10.1007/s00198-009-0947-5
Pasco JA, Gould H, Brennan SL, Nicholson GC, Kotowicz MA. Musculoskeletal deterioration in men accompanies increases in body fat. Obesity. 2014; 22(3):863-7. doi: 10.1002/oby.20496
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