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Improved 4-compartment body-composition model for a clinically accessible measure of total body protein
Abstract
Background Muscle wasting is a consequence of many primary conditions including sarcopenia, cachexia, osteoporosis, HIV/AIDS, and chronic kidney disease. Unfortunately, there is not a clinically accessible method to measure total body protein, which is the functional mass of muscle. Objective We sought to derive a simple method to measure total body protein by using dual-energy X-ray absorptiometry (DXA) and bioimpedance analysis (BIA). Design We retrospectively analyzed a clinical convenience sample of individuals with numerous metabolic conditions from the Monash Medical Centre, Melbourne, Australia, who had a concurrent protein measure by using neutron activation analysis-derived protein (NAA-TBPro), water measure by using BIA, and whole-body DXA scan. The study was split into calibration and validation data sets by using simple random sampling stratified by sex, BMI category, and age decade. We generated a protein estimate direct-calibration protein (DC-TBPro) derived from BIA water, bone mass, and body volume. We compared NAA-TBPro with DC-TBPro and 2 protein estimates from the literature, one that used the DC-TBPro equation with fixed coefficients [4-compartment Lohman method for analysis of total body protein (4CL-TBPro)] and another that used fat-free mass, age, and sex [Wang equation-derived protein (W-TBPro)]. Results A total of 187 participants [119 women; mean (±SD) age: 37.0 ± 15.4 y; mean (±SD) BMI (in kg/m(2)) 24.5 ± 7.7] were included. When plotted against NAA…
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Body composition was determined with a 4-compartment model, with CVs for repeated measures of 1.2% for BodPod, 1.9% for bioelectrical impedance, and 0.8% for DXA.
“Body composition was determined with the use of a 4compartment model of body composition as described previously (19).”
Citations
Cites
An overview of sarcopenia: facts and numbers on prevalence and clinical impact
von Haehling, S., Morley, J. E., & Anker, S. D. (2010) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1007/s13539-010-0014-2 · Cited by 888
Total and regional body volumes derived from dual-energy X-ray absorptiometry output
Wilson, J. P., Fan, B., & Shepherd, J. A. (2013) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2012.11.001 · Cited by 39
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Research works printed but not linked: 27
- Siddiqui, 2009, Prevalence and cost of HIV-associated weight loss in a managed care population, Curr Med Res Opin, 25, 1307, 10.1185/03007990902902119 · DOI
- Tan, 2008, Cachexia: prevalence and impact in medicine, Curr Opin Clin Nutr Metab Care, 11, 400, 10.1097/MCO.0b013e328300ecc1 · DOI
- Tong, 2007, Plasma pentraxin 3 in patients with chronic kidney disease: associations with renal function, protein-energy wasting, cardiovascular disease, and mortality, Clin J Am Soc Nephrol, 2, 889, 10.2215/CJN.00870207 · DOI
- Kovesdy, 2009, Outcome predictability of biomarkers of protein-energy wasting and inflammation in moderate and advanced chronic kidney disease, Am J Clin Nutr, 90, 407, 10.3945/ajcn.2008.27390 · DOI
- Kovesdy, 2009, Why is protein-energy wasting associated with mortality in chronic kidney disease?, Semin Nephrol, 29, 3, 10.1016/j.semnephrol.2008.10.002 · DOI
- Harrison, 1984, A nitrogen index - total body protein normalized for body size - for diagnosis of protein status in health and disease, Nutr Res, 4, 209, 10.1016/S0271-5317(84)80006-8 · DOI
- Lukaski, 1981, A comparison of methods of assessment of body composition including neutron activation analysis of total body nitrogen, Metabolism, 30, 777, 10.1016/0026-0495(81)90023-8 · DOI
- Knight, 1986, Body composition of two human cadavers by neutron activation and chemical analysis, Am J Physiol, 250, E179
- Wang, 1992, The five-level model: a new approach to organizing body-composition research, Am J Clin Nutr, 56, 19, 10.1093/ajcn/56.1.19 · DOI · Paper page
- Lohman, 1993, Multicomponent models in body composition research: opportunities and pitfalls, Basic Life Sci, 60, 53
- Wang, 2003, Total-body protein mass in adults: development of a dual-energy X-ray absorptiometry prediction model, Int J Body Compos Res, 1, 161
- Vartsky, 1979, The use of body hydrogen as an internal standard in the measurement of nitrogen in vivo by prompt neutron capture gamma-ray analysis, J Radioanal Chem, 48, 243, 10.1007/BF02519790 · DOI
- Stroud, 1990, Clinical studies of total body nitrogen in an Australian hospital, Basic Life Sci, 55, 177
- 1977, Recommendations of the ICRP, Ann ICRP, 1, 3
- Lukaski, 1988, Estimation of body fluid volumes using tetrapolar bioelectrical impedance measurements, Aviat Space Environ Med, 59, 1163
- Fields, 2002, Body-composition assessment via air-displacement plethysmography in adults and children: a review, Am J Clin Nutr, 75, 453, 10.1093/ajcn/75.3.453 · DOI · Paper page
- Wilson, 2012, Dual-energy X-ray absorptiometry-based body volume measurement for 4-compartment body composition, Am J Clin Nutr, 95, 25, 10.3945/ajcn.111.019273 · DOI
- Koo, 1995, Validation of accuracy and precision of dual energy X-ray absorptiometry for infants, J Bone Miner Res, 10, 1111, 10.1002/jbmr.5650100716 · DOI
- Rigo, 1998, Reference values of body composition obtained by dual energy X-ray absorptiometry in preterm and term neonates, J Pediatr Gastroenterol Nutr, 27, 184
- Soler-Cataluña, 2005, Mid-arm muscle area is a better predictor of mortality than body mass index in COPD, Chest, 128, 2108, 10.1378/chest.128.4.2108 · DOI
- Aristizábal, 2007, [Body composition assessment by anthropometry and bioelectrical impedance], Biomedica, 27, 216, 10.7705/biomedica.v27i2.217 · DOI
- Hansen, 2007, Estimation of thigh muscle cross-sectional area by dual-energy X-ray absorptiometry in frail elderly patients, Am J Clin Nutr, 86, 952, 10.1093/ajcn/86.4.952 · DOI
- Jeong, 1999, Assessment of body composition using dual energy x-ray absorptiometry in patients with liver cirrhosis: comparison with anthropometry, Korean J Intern Med, 14, 64, 10.3904/kjim.1999.14.2.64 · DOI
- Pietrobelli, 1996, Dual-energy X-ray absorptiometry body composition model: review of physical concepts, Am J Physiol, 271, E941
- Keys, 1953, Body fat in adult man, Physiol Rev, 33, 245, 10.1152/physrev.1953.33.3.245 · DOI
- Morales, 1945, Studies on body composition: II. Theoretical considerations regarding the major body tissue components, with suggestions for applications to man, J Biol Chem, 158, 677, 10.1016/S0021-9258(19)51344-8 · DOI
- Aloia, 1995, To what extent is bone mass determined by fat-free or fat mass?, Am J Clin Nutr, 61, 1110, 10.1093/ajcn/61.5.1110 · DOI
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Longland, T. M., Oikawa, S. Y., Mitchell, C. J., Devries, M. C., & Phillips, S. M. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.119339 · Cited by 271
Time-restricted feeding plus resistance training in active females: a randomized trial
Tinsley, G. M., Moore, M. L., Graybeal, A. J., Paoli, A., Kim, Y., Gonzales, J. U., Harry, J. R., VanDusseldorp, T. A., Kennedy, D. N., & Cruz, M. R. (2019) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz126 · Cited by 221
Heymsfield, S. B., Ebbeling, C. B., Zheng, J., Pietrobelli, A., Strauss, B. J., Silva, A. M., & Ludwig, D. S. (2015) · Obesity Reviews · doi:10.1111/obr.12261 · Cited by 111
Self-citationNg, B. K., Liu, Y. E., Wang, W., Kelly, T. L., Wilson, K. E., Schoeller, D. A., Heymsfield, S. B., & Shepherd, J. A. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy158 · Cited by 73
Self-citationTinsley, G. M. (2021) · British Journal of Nutrition · doi:10.1017/s0007114520003578 · Cited by 29
Metadata
- Authors
- Wilson, J. P., Strauss, B. J., Fan, B., Duewer, F. W., & Shepherd, J. A.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 97
- Issue
- 3
- Pages
- 497-504
- ISSN
- 0002-9165
- Cited by
- 45
- References
- 2
- Language
- en
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