Cited by 248Body Composition Measurement TechniquesNutrition and Health in AgingMuscle metabolism and nutrition

The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.

Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM)

Kyle, U.G, Genton, Laurence, Hans, D, Pichard, C·2003·Clinical Nutrition

Open this paper in CoChat — free account

Abstract

Rationale Appendicular skeletal muscle mass (ASMM) is useful in the evaluation of nutritional status because it reflects the body muscle protein mass. The purpose of this study was to validate, against dual-energy X-ray absorptiometry (DEXA), a BIA equation to predict ASMM to be used in volunteers and patients. Method Healthy men (n = 246 men, BMI 25.3+/-2.9 kg/m(2)) and women (n =198, 24.1+/-3.6 kg/m(2)), and heart, lung and liver transplant patients (213 men, BMI of 24.6+/-4.4 kg/m(2); 113 women, BMI 23.0+/-5.2 kg/m(2)) were measured by BIA (Xitron Technologies) and DEXA (Hologic QDR 4500). A BIA equation to predict ASMM (kg) that included height(2)/resistance, weight, gender, age and reactance, was developed by means of multiple regressions. [table: see text] Mean difference (Bland-Altman) for volunteers was 0.1+/-1.1 kg, r =0.95, SEE 1.12 kg and for patients -0.4+/-1.5 kg, r =0.91, SEE 1.5 kg. Best fitted multiple regression equation was -4.211 + (0.267 x height2 / resistance) + (0.095 x weight)+(1.909 x sex (men = 1, women = 0)) + (-0.012 x age) + (0.058 x reactance). Conclusions BIA permits the prediction of ASMM in healthy volunteers and patients between 22 and 94 years of age. A slightly larger, though clinically not significant, error was noted in patients.

Integrity signals

Registry

Crossref · 10.1016/s0261-5614(03)00048-7

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Multiple regression in behavioral research
Kerlinger, F. N., & Pedhazur, E. J. (1973) · Medical Entomology and Zoology · Cited by 4,919
Epidemiology of Sarcopenia among the Elderly in New Mexico
Baumgartner, R. N., Koehler, K. M., Gallagher, D., Romero, L., Heymsfield, S. B., Ross, R. R., Garry, P. J., & Lindeman, R. D. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009520 · Cited by 4,004
Assessment of fat-free mass using bioelectrical impedance measurements of the human body
Lukaski, H., Johnson, P., Bolonchuk, W., & Lykken, G. (1985) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/41.4.810 · Cited by 1,896
Report of the task group on reference man
(1979) · Annals of the ICRP · doi:10.1016/0146-6453(79)90123-4 · Cited by 1,715
Estimation of skeletal muscle mass by bioelectrical impedance analysis
Janssen, I., Heymsfield, S. B., Baumgartner, R. N., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.2.465 · Cited by 1,482
Validation of tetrapolar bioelectrical impedance method to assess human body composition
Lukaski, H. C., Bolonchuk, W. W., Hall, C. B., & Siders, W. A. (1986) · Journal of Applied Physiology · doi:10.1152/jappl.1986.60.4.1327 · Cited by 1,370
Appendicular skeletal muscle mass: effects of age, gender, and ethnicity
Gallagher, D., Visser, M., De Meersman, R. E., Sepúlveda, D., Baumgartner, R. N., Pierson, R. N., Harris, T., & Heymsfield, S. B. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.1.229 · Cited by 966
Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models
Lee, R. C., Wang, Z., Heo, M., Ross, R., Janssen, I., & Heymsfield, S. B. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.3.796 · Cited by 854
Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry
Heymsfield, S. B., Smith, R. C., Aulet, M., Bensen, B., Lichtman, S. W., Wang, J., & Pierson, R. (1990) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/52.2.214 · Cited by 819

Show all 35 references

Sorted by citations

Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afy169 · Cited by 13,818
Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults
Sergi, G., De Rui, M., Veronese, N., Bolzetta, F., Berton, L., Carraro, S., Bano, G., Coin, A., Manzato, E., & Perissinotto, E. (2015) · Clinical Nutrition · doi:10.1016/j.clnu.2014.07.010 · Cited by 467
“This equation seems to be more reliable when applied to the elderly than the one previously published in the literature [12], which was derived from a population of adults of all ages.”
BackgroundMethodResultInfluential
Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition
Barazzoni, R., Jensen, G. L., Correia, M. I. T. D., Gonzalez, M. C., Higashiguchi, T., Shi, H. P., Bischoff, S. C., Boirie, Y., Carrasco, F., Cruz-Jentoft, A., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.02.001 · Cited by 406
New bioimpedance analysis system: improved phenotyping with whole-body analysis
Pietrobelli, A., Rubiano, F., St‐Onge, M., & Heymsfield, S. B. (2004) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601993 · Cited by 378
Measurement of lean body mass using bioelectrical impedance analysis: a consideration of the pros and cons.
Sergi, G., De Rui, M., Stubbs, B., Veronese, N., & Manzato, E. (2017) · Aging Clinical and Experimental Research · doi:10.1007/s40520-016-0622-6 · Cited by 291
Blood Levels of the Endocannabinoid Anandamide are Increased in Anorexia Nervosa and in Binge-Eating Disorder, but not in Bulimia Nervosa
Monteleone, P., Matias, I., Martiadis, V., PETROCELLIS, L. D., Maj, M., & Marzo, V. D. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300695 · Cited by 272
“Although in emaciated persons it may not be so accurate as the dual X-ray absorptiometry, it has been reported to possess a good reliability (Martinoli et al, 2003; Kyle et al, 2003).”
Background
Tools in the Assessment of Sarcopenia
Cooper, C. C., Fielding, R. A., Visser, M., van Loon, L. J. C., Rolland, Y., ORWOLL, E. S., Reid, K. F., Boonen, S., Dere, W. H., Epstein, S., et al. (2013) · Calcified Tissue International · doi:10.1007/s00223-013-9757-z · Cited by 267
“Bioelectrical impedance is a popular alternative, despite lack of a standardized methodology [35, 36], and easy to use in both research and clinical settings [37].”
Association between sarcopenia and higher-level functional capacity in daily living in community-dwelling elderly subjects in Japan
Tanimoto, Y., Watanabe, M., Sun, W., Sugiura, Y., Tsuda, Y., Kimura, M., Hayashida, I., Kusabiraki, T., & Kono, K. (2012) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2012.06.015 · Cited by 250
Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices
Bosy-Westphal, A., Jensen, B., Braun, W., Pourhassan, M., Gallagher, D., & Müller, M. J. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.27 · Cited by 231
Randomized phase 2 trial of anti-tumor necrosis factor therapy for cachexia in patients with early rheumatoid arthritis
Marcora, S., Chester, K. R., Mittal, G., LEMMEY, A. B., & Maddison, P. J. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.6.1463 · Cited by 197
Sarcopenia and falls in community-dwelling elderly subjects in Japan: Defining sarcopenia according to criteria of the European Working Group on Sarcopenia in Older People
Tanimoto, Y., Watanabe, M., Sun, W., Sugiura, Y., Hayashida, I., Kusabiraki, T., & Tamaki, J. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.04.016 · Cited by 204
“BIA can be used to determine body composition and has been shown to be safe, convenient, reliable, and valid (Janssen et al., 2000; Kyle et al., 2004a, 2004b, 2003; Pietrobelli et al., 2004).”
Method
Bioelectrical impedance analysis for diagnosing sarcopenia and cachexia: what are we really estimating?
González, M. C., & Heymsfield, S. B. (2017) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12159 · Cited by 192
Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
Zillikens, M. C., Demissie, S., Hsu, Y., Yerges-Armstrong, L. M., Chou, W., Stolk, L., Livshits, G., Broer, L., Johnson, T., Koller, D. L., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00031-7 · Cited by 186
Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass
Lee, S. Y., Ahn, S., Kim, Y. J., Ji, M. J., Kim, K. M., Choi, S. H., Jang, H. C., & Lim, S. K. (2018) · Nutrients · doi:10.3390/nu10060738 · Cited by 191
“tried to validate a prediction equation for estimating ASMM [16].”
Utility of multifrequency bioelectrical impedance compared with dual-energy x-ray absorptiometry for assessment of total and regional body composition varies between men and women
Anderson, L. J., Erceg, D. N., & Schroeder, E. T. (2012) · Nutrition Research · doi:10.1016/j.nutres.2012.05.009 · Cited by 167
Green tea with high-density catechins improves liver function and fat infiltration in non-alcoholic fatty liver disease (NAFLD) patients: A double-blind placebo-controlled study
Sakata, R., Nakamura, T., Torimura, T., Ueno, T., & Sata, M. (2013) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2013.1503 · Cited by 134
“The rate of body fat was estimated by bioelectrical impedance analysis performed using InnerScan ® (Tanita BC-511, Tanita Corporation, Tokyo, Japan) (13,14).”
Comparison of Two Bioelectrical Impedance Analysis Devices With Dual Energy X-ray Absorptiometry and Magnetic Resonance Imaging in the Estimation of Body Composition
Wang, J., Zhang, Y., Chen, H.-E., Li, Y., Cheng, X.-G., Xu, L., Guo, Z., Zhao, X., Sato, T., Cao, Q., et al. (2012) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e31824f2040 · Cited by 127
“The fundamental is that skeletal muscle is rich in electrolytes and a dominant conductor with low resistance and that BIA resistance is strongly correlated with the skeletal muscle in the arms and legs (4,5,9,19).”
BackgroundMethod
Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition diagnosis of malnutrition
Compher, C., Cederholm, T., Correia, M. I. T. D., Gonzalez, M. C., Higashiguch, T., Shi, H. P., Bischoff, S. C., Boirie, Y., Carrasco, F., Cruz‐Jentoft, A., et al. (2022) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.2366 · Cited by 125
Estimation of prevalence of sarcopenia by using a new bioelectrical impedance analysis in Chinese community-dwelling elderly people
Wang, H., Hai, S., Cao, L., Zhou, J., Liu, P., & Dong, B. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0386-z · Cited by 130
“927 kg) in men and women, respectively, in predicting ASM, which were similar to those obtained in previous reports [16, 22, 23].”
Result
New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999–2006
Santos, L. P., Gonzalez, M. C., Orlandi, S. P., Bielemann, R. M., Barbosa‐Silva, T. G., Heymsfield, S. B., & COCONUT Study Group (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1605 · Cited by 122
Association between muscle mass and disability in performing instrumental activities of daily living (IADL) in community-dwelling elderly in Japan
Tanimoto, Y., Watanabe, M., Sun, W., Hirota, C., Sugiura, Y., Kono, R., Saito, M., & Kono, K. (2011) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2011.06.015 · Cited by 120
Changes in body composition and its relation to muscle strength in 75-year-old men and women: A 5-year prospective follow-up study of the NORA cohort in Göteborg, Sweden
Dey, D. K., Bosaeus, I. G., Lissner, L., & Steen, B. C. (2009) · Nutrition · doi:10.1016/j.nut.2008.11.023 · Cited by 119
The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity
Marini, E., Buffa, R., Saragat, Coin, A., Berton, Manzato, Sergi, G., & Toffanello, E. D. (2012) · Clinical Interventions in Aging · doi:10.2147/cia.s38488 · Cited by 116
“…(ASM and SMI) obtained in this research confirm the expectations of Piccoli et al. 14 These results are also in accordance with those of Kyle et al, 25 who found a similar positive relation between reactance and ASM, but disagree with those of Pietrobelli et al, 26 whose results showed that phase…”
Equation models developed with bioelectric impedance analysis tools to assess muscle mass: a systematic review.
Beaudart, C., Bruyère, O., Geerinck, A., Hajaoui, M., Scafoglieri, A., Perkisas, S., Bautmans, I., Gielen, E., Reginster, J.-Y., & Buckinx, F. (2020) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.09.012 · Cited by 113
“The number of electrodes varies between 4 electrodes (reported in 6 studies [31,38,40,43,51,53]), 6 electrodes (reported in one study [36]), 8 electrodes (reported in 10 studies [16,32,33,35,39,42,44e46,50]) and 16 electrodes (reported in one study [50]).”
BackgroundMethodInfluential
Body Fat Free Mass Is Associated with the Serum Metabolite Profile in a Population-Based Study
Jourdan, C., Petersen, A.-K., Gieger, C., Döring, A., Illig, T., Wang‐Sattler, R., Meisinger, C., Peters, A., Adamski, J., Prehn, C. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040009 · Cited by 107
“Fat free mass, fat mass, and the appendicular skeletal muscle mass were then calculated by means of Kyle’s equations [18,19] on which the following indices are based: FFMI (fat free mass in kg/(height in m)(2)), body fat mass index (body fat mass in kg/(height in m)(2)) and the appendicular skeletal muscle mass index…”
Method
Bioelectrical impedance analysis to estimate body composition in surgical and oncological patients: a systematic review
Haverkort, E. B., Reijven, P. L. M., Binnekade, J. M., de van der Schueren, M. A. E., Earthman, C. P., Gouma, D. J., & de Haan, R. J. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.203 · Cited by 103
Effects of 24-week aerobic and resistance training on carotid artery intima-media thickness and flow velocity in elderly women with sarcopenic obesity
Park, J., Kwon, Y., & Park, H. (2017) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.39065 · Cited by 94
Body composition changes over 9 years in healthy elderly subjects and impact of physical activity
Genton, L., Karsegard, V. L., Chevalley, T., Kossovsky, M. P., Darmon, P., & Pichard, C. (2011) · Clinical Nutrition · doi:10.1016/j.clnu.2011.01.009 · Cited by 95
Self-citation
Circulating ghrelin is decreased in non-obese and obese women with binge eating disorder as well as in obese non-binge eating women, but not in patients with bulimia nervosa
Monteleone, P., Fabrazzo, M., Tortorella, A. A. V., Martiadis, V., Serritella, C., & Maj, M. (2004) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2004.07.004 · Cited by 95
Nutrition and physical activity for the prevention and treatment of age-related sarcopenia
Bosaeus, I. G., & Rothenberg, E. M. (2015) · Proceedings of The Nutrition Society · doi:10.1017/s002966511500422x · Cited by 94
Identifying critically ill patients with low muscle mass: Agreement between bioelectrical impedance analysis and computed tomography
Looijaard, W. G. P. M., Stapel, S. N., Dekker, I. M., Rusticus, H., Remmelzwaal, S., Girbes, A. R. J., Weijs, P. J. M., & Straaten, H. M. O. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.07.020 · Cited by 92
Reference values for skeletal muscle mass and fat mass measured by bioelectrical impedance in 390 565 UK adults
Lee, M., Jebb, S. A., Oke, J. L., & Piernas, C. (2020) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12523 · Cited by 89
“within the overall fat-free tissue mass with aging and with increasing adiposity(11) may explain why SMM appears to be a stronger biomarker for metabolic health than FFM.(16,19) The use of SMM and FM measurements in routine health surveillance and in clinical practice is currently limited by the lack of reference data…”
BackgroundResult
Aging changes in muscle mass of Japanese
Tanimoto, Y., Watanabe, M., Kono, R., Hirota, C., Takasaki, K., & Kono, K. (2010) · Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics · doi:10.3143/geriatrics.47.52 · Cited by 90
Body composition in the elderly: Reference values and bioelectrical impedance spectroscopy to predict total body skeletal muscle mass
Tengvall, M., Ellegård, L., Malmros, V., Bosaeus, N., Lissner, L., & Bosaeus, I. (2009) · Clinical Nutrition · doi:10.1016/j.clnu.2008.10.005 · Cited by 87
Skeletal muscle mass in hospitalized elderly patients: Comparison of measurements by single-frequency BIA and DXA
Bosaeus, I. G., Wilcox, G., Rothenberg, E. M., & Strauss, B. J. (2013) · Clinical Nutrition · doi:10.1016/j.clnu.2013.06.007 · Cited by 82
High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review
Campa, F., Coratella, G., Cerullo, G., Noriega, Z., Francisco, R., Charrier, D., Irurtia, A., Lukaski, H., Silva, A. M., & Paoli, A. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05272-x · Cited by 93
“Two equations are suitable for estimating TBW [42, 54], ten for estimating LSM [61, 77], and one for estimating SMM [82] in both sexes.”
BackgroundMethodInfluential
Case finding for sarcopenia in geriatric inpatients: performance of bioimpedance analysis in comparison to dual X-ray absorptiometry
Reiss, J., Iglseder, B., Kreutzer, M. L., Weilbuchner, I., Treschnitzer, W., Kässmann, H., Pirich, C., & Reiter, R. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0228-z · Cited by 83
“Appendicular skeletal muscle mass (ASMMBIA) was calculated using the Kyle equation [19]:ASMMBIA kg ð Þ 1⁄4 −4:211þ Ht2=R 0:267 ð Þþ 0:095 BW ð Þþ 1:909 sex ð Þþ −0:012 age ð Þ þ 0:058 Xc ð Þ, where Ht is height in centimeters; for sex, men = 1 and women = 0; age is in years and Xc is reactance derived from BIA.”
Bioelectrical impedance analysis as an alternative to dual-energy x-ray absorptiometry in the assessment of fat mass and appendicular lean mass in patients with obesity
Ballesteros-Pomar, M. D., Arnáiz, E. G., de la Maza, B. P., Galindo, D. E. B., Cobo, D. A., Roza, L. G., & Cano‐Rodríguez, I. (2021) · Nutrition · doi:10.1016/j.nut.2021.111442 · Cited by 78
Body composition and functional assessment of nutritional status in adults: A narrative review of imaging, impedance, strength and functional techniques
Smith, S., & Madden, A. M. (2016) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12372 · Cited by 67
Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study
Scafoglieri, A., Clarys, J. P., Bauer, J. M., Verlaan, S., Van Malderen, L., Vantieghem, S., Cederholm, T., Sieber, C. C., Mets, T., & Bautmans, I. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.04.026 · Cited by 65
“The proposed ALM equations seem to be more reliable when applied to sarcopenic older adults than the ones previously published in the literature [12,13], which were developed in adults without physical function decline.”
BackgroundMethodResult
Preliminary evidence for cachexia in patients with well-established ankylosing spondylitis
Marcora, S., Casanova, F., Williams, E., Jones, J. G., Elamanchi, R., & LEMMEY, A. B. (2006) · Lara D. Veeken · doi:10.1093/rheumatology/kel127 · Cited by 64
“(n1⁄4 246) and men with catabolic conditions (n1⁄4 213) with a similar age range [12].”
Background
Shorter Telomeres in Peripheral Blood Mononuclear Cells from Older Persons with Sarcopenia: Results from an Exploratory Study
Marzetti, E., Lorenzi, M., Antocicco, M., Bonassi, S., Celi, M., Mastropaolo, S., Settanni, S., Valdiglesias, V., Landi, F., Bernabei, R., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00233 · Cited by 61
“Moreover, although BIA is an established technique for the estimation of lean body mass (Kyle et al., 2003), it does not represent the gold standard for the quantification of muscle mass.”
Background
The Performance of Five Bioelectrical Impedance Analysis Prediction Equations against Dual X-ray Absorptiometry in Estimating Appendicular Skeletal Muscle Mass in an Adult Australian Population
Yu, S., Powell, A., Khow, K., & Visvanathan, R. (2016) · Nutrients · doi:10.3390/nu8040189 · Cited by 58
“More noticeable was that both the Sergi and Kyle equations were developed using single-frequency BIA machines [5,6] similar to the machine used in our study.”
Method
Validity of ultrasound muscle thickness measurements for predicting leg skeletal muscle mass in healthy Japanese middle-aged and older individuals
Takai, Y., Ohta, M., Akagi, R., Kato, E., Wakahara, T., Kawakami, Y., Fukunaga, T., & Kanehisa, H. (2013) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/1880-6805-32-12 · Cited by 58
“These values were obtained from prediction equations derived from anthropometric measurements at multiple levels of limbs [20] or multiple BIA along the limb length [26].”
MethodInfluential
Bioelectrical impedance can be used to predict muscle mass and hence improve estimation of glomerular filtration rate in non-diabetic patients with chronic kidney disease
Macdonald, J. H., Marcora, S. M., Jibani, M., Roberts, G., Kumwenda, M. J., Glover, R., Barron, J., & Lemmey, A. B. (2006) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfl432 · Cited by 57
“[12] equation (ALMKyle) compared with our criterion measure of muscle mass (ALMDXA) equation is shown in Figure 1.”
Influential
A cross-sectional study on sarcopenia using different methods: reference values for healthy Saudi young men
Alkahtani, S. A. (2017) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-017-1483-7 · Cited by 57
“However, different brands and models of BIA devices have been used to measure muscle mass and predict sarcopenia, including bioelectrical impedance spectroscopy models [10], Xitron Technologies [11], Valhalla Bio-Resistance Analyzer [5], Tanita BC [12], and Inbody Biospace [13].”
Zebrafish models of sarcopenia
Daya, A., Donaka, R., & Karasik, D. (2020) · Disease Models & Mechanisms · doi:10.1242/dmm.042689 · Cited by 55
“, 2018), and bioelectrical impedance (Kyle et al., 2003).”
Benefits of home-based endurance training in lung transplant recipients
Vivodtzev, I., Pison, C. M., Guerrero, K., Mezin, P., Maclet, E., Borel, J., Chaffanjon, P., Hacini, R., Chavanon, O., Blin, D., et al. (2011) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2011.02.005 · Cited by 53
Pre-Hospital Dietary Intake Correlates with Muscle Mass at the Time of Fracture in Older Hip-Fractured Patients
Calvani, R., Martone, A. M., Marzetti, E., Onder, G., Savera, G., Lorenzi, M., Serafini, E., Bernabei, R., & Landi, F. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00269 · Cited by 54
Effect of perindopril or leucine on physical performance in older people with sarcopenia: the LACE randomized controlled trial
The LACE study group, Achison, M., Adamson, S., Akpan, A., Aspray, T., Avenell, A., Band, M. M., Bashir, T., Burton, L. A., Cvoro, V., et al. (2022) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12934 · Cited by 53
“These cut-offs were derived from normative bioimpedance data from healthy middle aged adults in the UK BioBank study 22 Total body fat-free mass index cut-offs for the ﬁ fth percentile were used and converted to equivalent appendicular skeletal muscle mass values using values from Kyle et al .”
Prevalence of sarcopenia and malnutrition during acute exacerbation of COPD and after 6 months recovery
Perrot, L., Greil, A., Boirie‌, Y., Farigon, N., Mulliez, A., Costes, F., & Caillaud, D. M. (2020) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-0623-6 · Cited by 54
Accuracy of a predictive bioelectrical impedance analysis equation for estimating appendicular skeletal muscle mass in a non-Caucasian sample of older people
Rangel Peniche, D. B., Raya Giorguli, G., & Alemán-Mateo, H. (2015) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2015.03.007 · Cited by 50
Clinical Value of Muscle Mass Assessment in Clinical Conditions Associated with Malnutrition
Mareschal, J., Achamrah, N., Norman, K., & Genton, L. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8071040 · Cited by 50
Self-citation
Increased weight loading reduces body weight and body fat in obese subjects – A proof of concept randomized clinical trial
Ohlsson, C., Gidestrand, E., Bellman, J., Larsson, C. L., Pálsdóttir, V., Hägg, D. A., Jansson, P., & Jansson, J. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100338 · Cited by 50
Acute-Phase Serum Amyloid A Protein and Its Implication in the Development of Type 2 Diabetes in the KORA S4/F4 Study
Marzi, C., Huth, C., Herder, C., Baumert, J., Thorand, B., Rathmann, W., Meisinger, C., Wichmann, H. ‐., Roden, M., Peters, A., et al. (2012) · Diabetes Care · doi:10.2337/dc12-1514 · Cited by 47
“(17,18) in model 2 of the association analysis.”
Background
Acute Sarcopenia: Mechanisms and Management
Damanti, S., Senini, E., LORENZO, R. D., Merolla, A., Santoro, S., Festorazzi, C., Messina, M., Vitali, G., Sciorati, C., & Rovere, P. Q. (2024) · Nutrients · doi:10.3390/nu16203428 · Cited by 53
Clinical determinants and neural correlates of presbyphagia in community-dwelling older adults
Labeit, B., Muhle, P., von Itter, J., Slavik, J., Wollbrink, A., Sporns, P. B., Rusche, T., Ruck, T., Hüsing‐Kabar, A., Gellner, R., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.912691 · Cited by 46
“Assessment of nutritional status, muscle strength/volume and frailty: To characterize body composition, a bioimpedance analysis was done (Kyle et al., 2003) using a phase sensitive multifrequency analyzer (model BIA 2000-M, Data Input GmbH, Frankfurt, Germany) with the according analysis software (Nutri Plus, also Dat…”
Method
Prevalence of malnutrition in adult patients previously treated with allogeneic hematopoietic stem-cell transplantation
Brotelle, T., Lemal, R., Cabrespine, A., Combal, C., Hermet, É., Ravinet, A., Bay, J., & Bouteloup, C. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.03.016 · Cited by 46
Disentangling the genetics of lean mass
Karasik, D., Zillikens, M. C., Hsu, Y., Aghdassi, A. A., Åkesson, K., Amin, N., Barroso, I., Bennett, D. A. A., Bertram, L., Bochud, M., et al. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy272 · Cited by 49
“Nevertheless, the 2 methods are highly correlated (9), and by combining them, the power to detect GWS loci was greatly enhanced.”
Background
Use of Bioelectrical Impedance: General Principles and Overview
Stahn, A. C., Terblanche, E., & Gunga, H. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1788-1_3 · Cited by 49
Predicting sarcopenia from functional measures among community-dwelling older adults
Gray, M., Glenn, J. M., & Binns, A. (2016) · AGE · doi:10.1007/s11357-016-9887-0 · Cited by 41
Prediction Equations of the Multifrequency Standing and Supine Bioimpedance for Appendicular Skeletal Muscle Mass in Korean Older People
Jeon, K. C., Kim, S.-Y., Jiang, F. L., Chung, S., Ambegaonkar, J. P., Park, J.-H., Kim, Y.-J., & Kim, C.-H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165847 · Cited by 38
“…and InBody S10 and the following eight equations including Vermeiren et al. (2019) [14], Scafoglieri et al. (2017) [15], Sergi et al. (2015) [16], Kyle et al. (2003) [17], Kim et al. (2014) [18], Peniche et al. (2015) [19], Yamada et al. (2017) [20], respectively: ASMVermeiren (kg) = 0.827 +…”
Influential
Relationships between lung function decline and skeletal muscle and fat mass changes: a longitudinal study in healthy individuals
Park, H., Lee, S., Lee, S., Kim, S.-Y., & Park, H. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12821 · Cited by 39
“Compared with the reference methods, such as dual-energy X-ray absorptiometry, segmental BIA is a reliable method to measure skeletal MM even in older populations.(6) To evaluate decline in lung function appropriately, long-term observation with no missing variables is essential.”
Method
Association between neck and shoulder pain, back pain, low back pain and body composition parameters among the Japanese general population
Iizuka, Y., Iizuka, H., Mieda, T., Tajika, T., Yamamoto, A., Ohsawa, T., Sasaki, T., & Takagishi, K. (2015) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-015-0759-z · Cited by 40
“Body composition measurements Regarding the body composition analysis, the Tanita MC-780 body composition analyzer, which analyzes the body composition using bioelectrical impedance analysis (BIA) technology [27–31], was used.”
Method
Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equations
Bennett, J. P., Cataldi, D., Liu, Y. E., Kelly, N. N., Quon, B. K., González, M. C., Heymsfield, S. B., & Shepherd, J. (2024) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2024.07.009 · Cited by 36
Skeletal muscle mass to visceral fat area ratio as a predictor of NAFLD in lean and overweight men and women with effect modification by sex
Cho, Y., Chang, Y., Ryu, S., Jung, H. S., Kim, C., Oh, H., Kim, M. K., Sohn, W., Shin, H. C., Wild, S. H., et al. (2022) · Hepatology Communications · doi:10.1002/hep4.1975 · Cited by 36
Voluntary activation during knee extensions in severely deconditioned patients with chronic obstructive pulmonary disease: Benefit of endurance training
Vivodtzev, I., Flore, P., Levy, P. A., & Wuyam, B. (2007) · Muscle & Nerve · doi:10.1002/mus.20867 · Cited by 37
Sensitivity and specificity of the body mass index for the diagnosis of overweight/obesity in elderly
de Vasconcelos, F. D. A. G., Cordeiro, B. A., Rech, C. R., & Petróski, E. L. (2010) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2010000800006 · Cited by 34
Skeletal muscle estimation: A review of techniques and their applications
Rodriguez, C., Mota, J. A., Palmer, T. B., Heymsfield, S. B., & Tinsley, G. M. (2024) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12874 · Cited by 35
Evaluation of serum myostatin and sclerostin levels in chronic spinal cord injured patients
Invernizzi, M., Carda, S., Rizzi, M., Grana, E., Squarzanti, D. F., Cisari, C., Molinari, C. G., & Renò, F. (2015) · Spinal Cord · doi:10.1038/sc.2015.61 · Cited by 33
A comparison of fat mass and skeletal muscle mass estimation in male ultra-endurance athletes using bioelectrical impedance analysis and different anthropometric methods.
Knechtle, B., Wirth, A., Knechtle, P., Rosemann, T. J., Rüst, C. A., & Bescós, R. (2011) · PubMed · doi:10.1590/s0212-16112011000600032 · Cited by 31
Modeling upper and lower limb muscle volume by bioelectrical impedance analysis
Stahn, A. C., Terblanche, E., & Strobel, G. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01163.2006 · Cited by 32
Estimation of skeletal muscle mass by bioimpedance and differences among skeletal muscle mass indices for assessing sarcopenia
Xu, H.-Q., Liu, J.-M., Zhang, X., Xue, Y.-T., Shi, J.-P., Chen, W., & Zheng, X.-Y. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2020.10.021 · Cited by 28
Nutritional status in post SARS-Cov2 rehabilitation patients
Gobbi, M., Brunani, A., Arreghini, M., Baccalaro, G., Dellepiane, D., Vela, V. L., Lucchetti, E., Barbaglia, M., Cova, A., Fornara, E., et al. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.04.013 · Cited by 31
Prevalence of Sarcopenia in Community-Dwelling Older Adults in Valencia, Spain
Guillamón-Escudero, C., Diago-Galmés, A., Tenías, J. M., Soriano, J. M., & Garrido, J. F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17239130 · Cited by 29
Salivary Testosterone and Cortisol as Biomarkers for the Diagnosis of Sarcopenia and Sarcopenic Obesity in Community-Dwelling Older Adults
Diago-Galmés, A., Guillamón-Escudero, C., Tenías, J. M., Soriano, J. M., & Garrido, J. F. (2021) · Biology · doi:10.3390/biology10020093 · Cited by 32
“This test is included in the test battery proposed by the EWGSOP [5] and consists of making 5 squats into the chair at maximum possible speed and without using any type of manual support [31].”
Method
Performance of functionality measures and phase angle in women exposed to chemotherapy for early breast cancer
da Silva, B. R., Mialich, M. S., Cruz, L. P., Rufato, S., Gozzo, T. D. O., & Jordão, A. A. (2021) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2021.02.007 · Cited by 37
Muscle strength and its relationship with skeletal muscle mass indices as determined by segmental bio-impedance analysis
Alizadehkhaiyat, O., Hawkes, D. H., Kemp, G. J., Howard, A., & Frostick, S. P. (2013) · European Journal of Applied Physiology · doi:10.1007/s00421-013-2764-y · Cited by 28
“In another study of 444 healthy volunteers (246 men and 198 women) between 22 and 94 years, Kyle et al. (2003) investigated SMM using BIA and dual-energy X-ray absorptiometry and reported BIA as a valid method for estimating SMM, with an error of 5 %.”
BackgroundMethod
Identifying low muscle mass in patients with hip fracture: Validation of bioelectrical impedance analysis and anthropometry compared to dual energy X-ray absorptiometry
Steihaug, O. M., Gjesdal, C. G., Bogen, B. E., & Ranhoff, A. H. (2016) · The journal of nutrition health & aging · doi:10.1007/s12603-016-0686-1 · Cited by 28
“BIA has been validated in healthy volunteers and organ transplant patients (12), in community dwelling older persons (13) and in older hospitalised patients (14), compared to DXA and MRI.”
Influential
Validation of bioelectrical impedance analysis for estimating limb lean mass in free-living Caucasian elderly people
De Rui, M., Veronese, N., Bolzetta, F., Berton, L., Carraro, S., Bano, G., Trevisan, C., Pizzato, S., Coin, A., Perissinotto, E., et al. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2016.04.011 · Cited by 26
“Our findings confirm the dominant role of RI in predicting the leanmass of single limbs in the elderly, as already seen for appendicular skeletal muscle mass estimates [9,11], irrespective of the abovementioned factors that might influence BIA parameters with aging.”
MethodResultInfluential
Accuracy of bioimpedance equations for measuring body composition in a cohort of 2134 patients with obesity
Coëffier, M., El Machkouri, M., L'Huillier, C., Folope, V., Lelandais, H., Grigioni, S., Déchelotte, P., & Achamrah, N. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.07.032 · Cited by 28
Evaluating skeletal muscle mass with ultrasound in patients with systemic sclerosis
Sarı, A., Eşme, M., Ayçiçek, G. Ş., Armağan, B., Kılıç, L., Ertenli, İ., Halil, M. G., & Akdoğan, A. (2020) · Nutrition · doi:10.1016/j.nut.2020.110999 · Cited by 29
Sex Differences in Age-Related Physical Changes among Community-Dwelling Adults
Okabe, T., Suzuki, M., Gotô, H., Iso, N., Cho, K., Hirata, K., & Shimizu, J. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204800 · Cited by 25
“The bioelectrical impedance analysis (BIA) method is suitable for screening body composition, including muscle mass, because it is safe, simple, reliable, valid, and transportable, compared to computed tomography, magnetic resonance imaging, and dual-energy X-ray absorptiometry methods [18].”
Method
Influence of the type of electrodes in the assessment of body composition by bioelectrical impedance analysis in the supine position
Dupertuis, Y. M., Pereira, A. G., Karsegard, V. L., Hemmer, A., Biolley, E., Collet, T., & Genton, L. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.09.008 · Cited by 25
Self-citation
Bio-Electrical Impedance Analysis: A Valid Assessment Tool for Diagnosis of Low Appendicular Lean Mass in Older Adults?
van den Helder, J., Verreijen, A. M., van Dronkelaar, C., Memelink, R. G., Engberink, M. F., Engelbert, R., Weijs, P. J. M., & Tieland, M. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.874980 · Cited by 28
Association of appendicular extracellular-to-intracellular water ratio with age, muscle strength, and physical activity in 8,018 community-dwelling middle-aged and older adults
Iwasaka, C., Yamada, Y., Nishida, Y., Hara, M., Yasukata, J., Miyoshi, N., Shimanoe, C., Nanri, H., Furukawa, T., Koga, K., et al. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.104931 · Cited by 24
Appendicular skeletal muscle in hospitalised hip-fracture patients: development and cross-validation of anthropometric prediction equations against dual-energy X-ray absorptiometry
Villani, A. M., Crotty, M., Cameron, I. D., Kurrle, S. E., Skuza, P., Cleland, L. G., Cobiac, L., & Miller, M. (2014) · Age and Ageing · doi:10.1093/ageing/afu106 · Cited by 23
Identification of sarcopenia and dynapenia in CKD predialysis patients with EGWSOP2 criteria: An observational, cross-sectional study
Guida, B., Maro, M. D., Lauro, M. D., Lauro, T. D., Trio, R., Santillo, M., Belfiore, A., Memoli, A., & Cataldi, M. (2020) · Nutrition · doi:10.1016/j.nut.2020.110815 · Cited by 23
Decreased haemoglobin levels are associated with lower muscle mass and strength in kidney transplant recipients
Vinke, J. S. J., Wouters, H. J. C. M., Stam, S. P., Douwes, R. M., Post, A., Neto, A. W. G., van der Klauw, M. M., Berger, S. P., Bakker, S. J. L., TransplantLines Investigators, et al. (2022) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12999 · Cited by 22
“ASMM was estimated from the equation described by Kyle et al.(24): ASMM (kg) = 4.”
MethodInfluential
Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults
Ge, S., Du, Q., Feng, X., Liu, Y., Wang, H., Hai, S., Shi, X., Sun, W., Ma, A., Lv, T., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.853323 · Cited by 23
Evaluation of appendicular lean mass using bio impedance in persons aged 80+: A new equation based on the BUTTERFLY-study
Vermeiren, S., Beckwée, D., Vella-Azzopardi, R., Beyer, I., Knoop, V., Jansen, B., Delaere, A., Antoine, A., Bautmans, I., Scafoglieri, A., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.07.029 · Cited by 23
Anthropometric predictive equations for estimating body composition
Asgari, M., Salamat, M. R., Shanei, A., Salamat, A., & Khoshhali, M. (2015) · Advanced Biomedical Research · doi:10.4103/2277-9175.150429 · Cited by 21
“[10] Furthermore, DXA has been validated against MRI to predict the whole‑body lean mass. [11] Most of the previous studies have concentrated on the prediction of whole‑body fat mass with anthropometric indices.”
Effects of the COVID-19 Lockdown on Body Composition and Bioelectrical Phase Angle in Serie A Soccer Players: A Comparison of Two Consecutive Seasons
Campa, F., Bongiovanni, T., Trecroci, A., Rossi, A., Greco, G., Pasta, G., & Coratella, G. (2021) · Biology · doi:10.3390/biology10111175 · Cited by 20
“Body composition parameters were estimated using bioimpedance-derived equations [18,25] as follows: %FM = [(Body mass − fat-free mass)/body mass] × 100, with fat-free mass = −2.”
Method
Predictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis
Jo, M. H., Lim, T. S., Jeon, M. Y., Lee, H. W., Kim, B. K., Park, J. Y., Kim, D. Y., Ahn, S. H., Han, K., & Kim, S. U. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8030322 · Cited by 20
Evaluation of techniques used to assess skeletal muscle quantity in patients with cirrhosis
Woodward, A. J., Wallen, M. P., Ryan, J., Ward, L. C., Coombes, J. S., & Macdonald, G. A. (2021) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2021.05.029 · Cited by 20
Performance of Bioelectrical Impedance and Anthropometric Predictive Equations for Estimation of Muscle Mass in Chronic Kidney Disease Patients
Bellafronte, N. T., Vega‐Piris, L., Barril, G., & Chiarello, P. G. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.683393 · Cited by 19
“AFFMKyle (9) was chosen because it was the first widely evaluated predictive equation for AFFM developed with spectroscopy BIA.”
Method
SarQoL Questionnaire in Community-Dwelling Older Adults under EWGSOP2 Sarcopenia Diagnosis Algorithm: A New Screening Method?
Guillamón-Escudero, C., Diago-Galmés, A., Zuazua-Rico, D., Maestro-González, A., Tenías, J. M., Soriano, J. M., & Garrido, J. F. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148473 · Cited by 19
“[34] to obtain necessary data to complete the equation; the electrical bioimpedance measurement was used with a TANITA DC430MA-S scale (Tokyo, Japan) with a precision of 0.”
Method
Calf circumference has a positive correlation with physical performance among community-dwelling middle-aged, older women
Wang, P.-C., Yeh, W.-C., Tsai, Y.-W., & Chen, J. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1038491 · Cited by 18
Accuracy of surrogate methods to estimate skeletal muscle mass in non-dialysis dependent patients with chronic kidney disease and in kidney transplant recipients
Silva, M. I. B., Barreto, A. P. M. M., Pontes, K. S. D. S., da Costa, M. S., Rosina, K. T. D. C., Souza, E., Bregman, R., Prado, C. M. M., & Klein, M. R. S. T. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.05.021 · Cited by 20
Antioxidants in Sport Sarcopenia
Cesare, M. M., Felice, F., Santini, V., & Stefano, R. D. (2020) · Nutrients · doi:10.3390/nu12092869 · Cited by 21

Authors: Kyle, U. G., Genton, L., Hans, D., & Pichard, C.
Affiliations: University Hospital of Geneva (CH)
Corresponding author: Pichard, C
ORCID: Genton, Laurence
Pichard, C
Venue: Clinical Nutrition
Publisher: Elsevier BV
Published: 2003-12
Volume: 22
Issue: 6
Pages: 537-543
ISSN: 0261-5614 (ISSN-L)
DOI: 10.1016/s0261-5614(03)00048-7
OpenAlex: W2072278615
Cited by: 248
References: 35
Citations by year: 2026: 21 · 2025: 30 · 2024: 23 · 2023: 15 · 2022: 24 · 2021: 17 · 2020: 20 · 2019: 13 · 2018: 7 · 2017: 8 · 2016: 10 · 2015: 9 · 2014: 10 · 2013: 5 · 2012: 12
FWCI: 1.71
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Clinical Nutrition (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
Keywords: appendicular skeletal muscle mass, bioelectrical impedance analysis, equation validation, dual-energy X-ray absorptiometry, nutritional assessment, transplant recipients, reactance, body composition
MeSH terms: Adult, Aged, Aged, 80 and over, Anthropometry, Body Composition, Female, Humans, Male, Middle Aged, Models, Biological, Predictive Value of Tests, Reference Values, Regression Analysis, Reproducibility of Results, Absorptiometry, Photon, Electric Impedance, Muscle, Skeletal

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM)

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks