Bio-impedance analysis for appendicular skeletal muscle mass assessment in (pre-) frail elderly people
Open accessAbstract
Background & aims Screening populations for skeletal muscle mass (SMM) is important for early detection of sarcopenia. Our aim was to develop an age specific bio-impedance (BI) prediction equation for the assessment of appendicular skeletal muscle mass (ASMM) in (pre-) frail elderly people aged 65 and older.Methods Anthropometric, BI and dual-energy X-ray absorptiometry (DEXA) measurements from 106 (pre-) frail elderly subjects (61 females and 45 males, aged 65-96 years) were used to derive three ASMM prediction equations using multiple regression analysis: one for single frequency BI measurements at 50 kHz (ASMM 50kHz), one for measurements at the characteristic frequency (ASMM Fc) and one for bioelectrical impedance spectroscopy (ASMM BIS). The same data was used to evaluate an existing prediction equation.Results ASMM 50kHz had the best fitting model (r 2adj = 0.923, SEE = 1.19 and a PRESS value = 163.4), followed by ASMM Fc (r 2adj = 0.915, SEE = 1.25 and a PRESS value = 175.9) and ASMM BIS (r 2adj = 0.915, SEE = 1.26 and a PRESS value = 177.1). Average ASMM measured by DEXA and both ASMM 50kHz and ASMM Fc were comparable. ASMM BIS tended to underestimate ASMM slightly. An existing prediction equation had a tendency to underestimate ASMM in people with a lower amount of ASMM and overestimate ASMM in people with a higher amount of ASMM.Conclusions ASMM 50kHz was able to measure average ASMM within our population of (pre-) frail elderly in a valid way. However, its predictive power on both individual and population level needs to be confirmed in an independent and larger (pre-) frail elderly population and across multiple institutions and ethnic groups.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Concerns with applicability were unclear in 12 studies.
“Concerns with applicability were high in 19 studies [37, 42–59] and unclear [41, 50, 60–69] in 12 studies due to the restricted sample size.”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [64]
Out of the 16 available equations for people with diseases, 14 were developed with foot-to-hand technology.
“Out of the 16 available equations, 14 were developed with foot to hand technology [40, 64, 98] and eight using segmental technology [40, 41, 56, 64, 65, 98, 99].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [64]
Regarding foot-to-hand technology for people with diseases, three equations are for appendicular LSM in frail, chronic kidney, or hemodialysis male and female subjects.
“Regarding the foot to hand technology, there is one equation suitable for assessing FFM in overweight and obese postmenopausal females [98], four for appendicular FM and FFM in functionally limited male and female individuals [40], four for assessing FFM in amputee males [41], one for predicting TBW in anorexic females [56], and three for appendicular LSM in frail [64], chronic kidney [65], or hem”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [64]
Nine equations for people with diseases were made with multifrequency devices involving measures obtained at 50 and 100 kHz.
“Seven equations were developed using single frequency devices at 50 kHz [35, 40, 98], while 9 equations were made with multifrequency devices involving measures obtained at 50 [41, 64, 65, 99] and 100 kHz [56].”
From High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review (2024) · cites this paper as [64]
Cites
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907 · see citing works
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601 · see citing works
Haffner, S. M., Lehto, S., Rönnemaa, T., Pyörälä, K., & Laakso, M. (1998) · New England Journal of Medicine · doi:10.1056/nejm199807233390404 · Cited by 7,000 · see citing works
An Introduction to Statistical Methods and Data Analysis
(1994) · Technometrics · doi:10.1080/00401706.1994.10485832 · Cited by 5,344 · see citing works
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 · see citing works
Bioelectrical impedance analysis?part I: review of principles and methods
KYLE, U. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.06.004 · Cited by 3,200 · see citing works
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 1× · see citing works
“It increases the risk for adverse outcomes such as the onset of disability [2,3],morbidity, and institutionalization [2,4,5].”
BackgroundBioelectrical impedance analysis—part II: utilization in clinical practice
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Manuel Gómez, J., Lilienthal Heitmann, B., Kent-Smith, L., Melchior, J.-C., Pirlich, M., et al. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.09.012 · Cited by 2,350 · see citing works
A questionnaire for the assessment of leisure time physical activities
Taylor, H. L., Jacobs, D. R., Schucker, B., Knudsen, J., Leon, A. S., & Debacker, G. (1978) · Journal of Chronic Diseases · doi:10.1016/0021-9681(78)90058-9 · Cited by 1,848 · see citing works
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 · see citing works
Sarcopenia: alternative definitions and associations with lower extremity function
Newman, A. B., Kupelian, V., Visser, M., Simonsick, E., Goodpaster, B., Nevitt, M., Kritchevsky, S. B., Tylavsky, F. A., Rubin, S. M., Harris, T. B., et al. (2003) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2003.51534.x · Cited by 981 · see citing works
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 · see citing works
Visser, M., Kritchevsky, S. B., Goodpaster, B. H., Newman, A. B., Nevitt, M., Stamm, E., & Harris, T. B. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50217.x · Cited by 845 · see citing works
Delmonico, M. J., Harris, T. B., Lee, J., Visser, M., Nevitt, M., Kritchevsky, S. B., Tylavsky, F. A., Newman, A. B., & for the Health, A. A. B. C. S. (2007) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01140.x · Cited by 819 · see citing works
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 · see citing works
Decreased Muscle Strength and Quality in Older Adults With Type 2 Diabetes
Park, S. W., Goodpaster, B. H., Strotmeyer, E. S., de Rekeneire, N., Harris, T. B., Schwartz, A. V., Tylavsky, F. A., & Newman, A. B. (2006) · Diabetes · doi:10.2337/db05-1183 · Cited by 751 · see citing works
Bosy‐Westphal, A., Danielzik, S., Dörhöfer, R., Later, W., Wiese, S., & Müller, M. J. (2006) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607106030004309 · Cited by 597 · see citing works
Tieland, M., Dirks, M. L., van der Zwaluw, N., Verdijk, L. B., van de Rest, O., de Groot, L. C. P. G. M., & van Loon, L. J. C. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.05.020 · Cited by 556 · cited 2× · see citing works
“For this study, data collected from 106 pre-frail and frail elderly subjects who participated in the 2010 ProMuscle study [15,16] were used.”
BackgroundMethodSelf-citationSarcopenia and Age-Related Changes in Body Composition and Functional Capacity
Evans, W. J., & Campbell, W. W. (1993) · Journal of Nutrition · doi:10.1093/jn/123.suppl_2.465 · Cited by 550 · see citing works
Tieland, M., van de Rest, O., Dirks, M. L., van der Zwaluw, N., Mensink, M., van Loon, L. J. C., & de Groot, L. C. P. G. M. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.07.005 · Cited by 446 · cited 1× · see citing works
“For this study, data collected from 106 pre-frail and frail elderly subjects who participated in the 2010 ProMuscle study [15,16] were used.”
MethodSelf-citationMuscle strength, disability and mortality
Rantanen, T. (2003) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1034/j.1600-0838.2003.00298.x · Cited by 317 · cited 1× · see citing works
“It increases the risk for adverse outcomes such as the onset of disability [2,3],morbidity, and institutionalization [2,4,5].”
BackgroundGupta, D., Lammersfeld, C. A., Burrows, J., Dahlk, S., Vashi, P. G., Grutsch, J. F., Hoffman, S., & Lis, C. G. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.6.1634 · Cited by 316 · see citing works
Application of Bioelectrical Impedance Analysis to Elderly Populations
Roubenoff, R., Baumgartner, R. N., Harris, T. B., Dallal, G. E., Hannan, M. T., Economos, C. D., Stauber, P. M., Wilson, P. W. F., & Kiel, D. P. (1997) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/52a.3.m129 · Cited by 261 · cited 1× · see citing works
“This method has been used in comparable studies [12,31].”
MethodKyle, U. G., Genton, L., Hans, D., & Pichard, C. (2003) · Clinical Nutrition · doi:10.1016/s0261-5614(03)00048-7 · Cited by 246 · cited 4× · see citing works
“This equation [14] (ASMMKyle) was developed in a population of 444 healthy Caucasians (246 male and 198 female), aged 22e94 years.”
BackgroundMethodInfluentialTengvall, 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 · see citing works
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 · see citing works
Hamilton, C., & Stamey, J. D. (2007) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-007-9092-x · Cited by 72 · see citing works
A Review of Water Balance in Ageing in Health and Disease
Stout, N., Kenny, R. A., & Baylis, P. H. (1999) · Gerontology · doi:10.1159/000022063 · Cited by 52 · see citing works
Marinangeli, C. P. F., & Kassis, A. N. (2013) · Nutrition Reviews · doi:10.1111/nure.12025 · Cited by 31 · see citing works
Wosje, K. S., Knipstein, B. L., & Kalkwarf, H. J. (2006) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2006.03.016 · Cited by 31 · see citing works
Psychosocial factors in outcome in two opiate addiction treatments
Grey, C. C., Osborn, E., & Reznikoff, M. (1986) · Journal of Clinical Psychology · doi:10.1002/1097-4679(198601)42:1 · Cited by 28 · see citing works
Evaluating the Predictive Abilities of Regressions with PRESS
Green, E. J. (1983) · Forest Science · doi:10.1093/forestscience/29.4.712 · Cited by 10 · see citing works
Bioelectrical impedance analysis at the characteristic frequency
Ward, L. C., & Cornish, B. (2006) · Nutrition · doi:10.1016/j.nut.2006.09.003 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
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 · see citing works
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 80 · see citing works
“Out of the 16 available equations, 14 were developed with foot to hand technology [40, 64, 98] and eight using segmental technology [40, 41, 56, 64, 65, 98, 99].”
BackgroundMethodInfluential
- Authors
- van Baar, H., Hulshof, P. J. M., Tieland, M., & de Groot, C. P. G. M.
- Affiliations
- Wageningen University & Research (NL)
- TiFN (NL)
- Corresponding author
- Hulshof, P.J.M.
- Venue
- Clinical Nutrition ESPEN
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 10
- Issue
- 4
- Pages
- e147-e153
- ISSN
- 2405-4577 (ISSN-L)
- OpenAlex
- W2120576594
- Cited by
- 15
- References
- 33
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 1 · 2022: 3 · 2020: 1 · 2019: 4 · 2016: 2
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Clinical Nutrition ESPEN (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Socio-Environmental Systems Modeling (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Wageningen University and Research
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Keywords
- appendicular skeletal muscle mass, bioelectrical impedance analysis, bioimpedance spectroscopy, sarcopenia screening, frail elderly, pre-frailty, prediction equations, characteristic frequency, dual-energy X-ray absorptiometry, muscle mass assessment
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
