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Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults
Abstract
Background & aims Aging is characterized by a loss of appendicular skeletal muscle mass (ASMM) leading to physical disability and death. Bioelectrical impedance analysis (BIA) is reliable in estimating ASMM but no prediction equations are available for elderly Caucasian subjects. The aim of the study was to develop and validate an equation derived from bioelectrical impedance analysis (BIA) to predict appendicular skeletal muscle mass (ASMM) in healthy Caucasian elderly subjects, taking dual X-ray absorptiometry (DXA) as the reference method, and comparing the reliability of the new equation with another BIA-based model developed by Kyle et al. (Kyle UG, Genton L, Hans D, Pichard C, 2003).Methods With a cross-sectional design, 296 free-living, healthy Caucasian subjects (117 men, 179 women) over 60 years of age were enrolled. Lean mass of limbs was measured with DXA to ascertain ASMM (ASMMDxA). Whole-body tetrapolar BIA was performed to measure resistance (Rz), resistance normalized for stature (RI), and reactance (Xc). The BIA multiple regression equation for predicting ASMM was developed using a double cross-validation technique. The predicted ASMM values were compared with ASMMKyle, i.e. ASMM estimates derived from the model developed by Kyle et al. (Kyle et al., 2003).Results Cross-validation resulted in a unique equation using the whole sample: ASMM (kg) = -3.964 + (0.227*RI) + (0.095*weight) + (1.384*sex) + (0.064*Xc) [R(2) = 0.92 and SEE = 1.14 kg]. In our sample, ASMMKyle differed significantly from the ASMMDxA (p < 0.0001), with a mean error of -0.97 ± 1.34 kg (5.1 ± 6.9%). Unlike the present BIA prediction equation, the Kyle et al. model showed a correlation between the bias and the mean of ASMMDxA and ASMMKyle (r = -0.406, p < 0.001).Conclusion The new BIA equation provides a valid estimate of ASMM in older Caucasian adults.
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“No generalizable formulas exist that are derived from bioelectrical impedance analysis (BIA) for predicting appendicular lean mass (ALM) and fat mass (AFM) in sarcopenic older adults.”
From Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study (2017) · cites this paper as [13]
In the citing paper
“Only 5% had an SPPB-score 8 in the former compared to 62% in our study.”
From Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study (2017) · cites this paper as [13]
In the citing paper
“The functionality of the subjects in Sergi's sample was substantially higher compared to the physical performance in our sample.”
From Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study (2017) · cites this paper as [13]
In the citing paper
“The existing models of Kyle et al. [12] and of Sergi et al. [13] overestimated significantly lean-DXA outcome.”
From Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study (2017) · cites this paper as [13]
In the citing paper
“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.”
From Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline – The PROVIDE study (2017) · cites this paper as [13]
Citations
Cites
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
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540
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
Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability
Guralnik, J. M., Ferrucci, L., Simonsick, E. M., Salive, M. E., & Wallace, R. B. (1995) · New England Journal of Medicine · doi:10.1056/nejm199503023320902 · Cited by 4,083
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
Katz, S. (1963) · JAMA · doi:10.1001/jama.1963.03060120024016 · Cited by 2,421
CUMULATIVE ILLNESS RATING SCALE
Linn, B. S., Linn, M. W., & Gurel, L. (1968) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1968.tb02103.x · Cited by 2,332
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
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
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
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Salgado-Fernández, F., Arturo, O.-T., Patricia, S.-V. M., González‐Islas, D., Debray-García, Y., Aztatzi-Aguilar, O. G., Susana, G. A., Hernández-López, S., Getsemani, R.-S., Gabriela, C.-G., et al. (2026) · Nutrients · doi:10.3390/nu18111706
“The appendicular skeletal muscle mass index (ASMMI) was assessed according to Sergi’s equation [26]:”
Composición corporal en los octogenarios con enfermedad renal crónica. Papel del género
Guldris, S. C., Amado, A. S., Ríos, J., Parra, E. G., & Cuadrado, G. B. (2026) · Nefrología · doi:10.1016/j.nefro.2026.501595
Wilson, D. V., Acharjee, A., Duggal, N. A., Hombrebueno, J. R., Jones, S. W., Lewis, J. W., de Magalhães, J. P., Martínez-Serrato, Y., Mazaheri, A., McGettrick, H. M., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0346347
“Skeletal Muscle Mass will be estimated from resistance and impedance measurements using the Sergi equation [104].”
Hung, S., Kramer, S. F., Werden, E., Thijs, V., Campbell, B. C. V., & Brodtmann, A. G. (2026) · Physiotherapy Canada · doi:10.3138/ptc-2024-0088
Differential factors associated with muscle quantity and quality in older adults
Villalon-Ruibio, D., Romero-Ortuno, R., Martín, M. L., Cuenca, E., & Tarazona‐Santabalbina, F. J. (2026) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2026.101816
Perencin, A., Pagliuca, R., Cannavò, D., & Marzio, B. D. (2026) · Current Geriatrics Reports · doi:10.1007/s13670-026-00466-1
“While comprehensive assessment with DXA or BIA provides optimal characterization, pragmatic bedside measures may suffice for initial screening [ 67].”
Bertoncini, C., Guerrini, A., Cocco, C., Siotto, M., Cipollini, V., Cortellini, L., Pavan, A., Lattanzi, S., Papadopoulou, D., Insalaco, S., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1864371
“…a low BMI, <20 if <70 years of age or <22 if >70 years of age; and (iii) reduced muscle mass assessed by calculating the Appendicular Skeletal Muscle Mass (ASMM) divided by the patient’s height squared (ASMM/h 2 ; kg/m 2 ), using a specific population-and BIA-validated predictive equation (29).”
Exploring the Association of Polypharmacy and Depressive Symptoms with Sarcopenia in Older Adults
Alqahtani, B. A., & Alenazi, A. M. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15145633
“A validated equation developed by Sergie et al. was utilized to estimate appendicular skeletal muscle mass (ASMM): ASMM (kg) = − 3.964 + (0.227 × (height 2 /Resistance)) + (0.095 × weight) + (1.384 × sex (with male = 1; female = 0)) + (0.064 × Reactance) [24].”
InfluentialSantero, S., Viroli, G., & Cena, H. (2026) · SpringerBriefs in business · doi:10.1007/978-3-032-26438-1_2
Elsabaawy, M., Ragab, M., Al-Khalifa, M., et al. (2026) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2026.102893
Beberashvili, I., Suissa, L., Azar, A., Gamliel, R., Stav, K., & Efrati, S. (2026) · European Journal of Clinical Nutrition · doi:10.1038/s41430-026-01803-5
Aric, M., Meltem, E., Adiyaman, Z., & Alagöz, S. (2026) · Journal of Nephrology · doi:10.1093/joneph/aajag120
Piche, É., Michel, É., Guérin, O., Gouraud, É., & Chorin, F. (2026) · Sensors · doi:10.3390/s26165112
“Several BIA predictive equations have already been developed and validated in older populations [8,9], including those proposed by Kyle and Sergi [10,11].”
Ceolin, C., Pasolini, G., Papa, M. V., Scotti, G., Bobbo, A., Macchia, E., Ghidini, A., Romeo, Z., Sergi, G., RUI, M. D., et al. (2026) · The journal of nutrition health & aging · doi:10.1016/j.jnha.2026.100943
Self-citationFortunato, W. S. L., Silva-Filho, J. Z., Alves, Y. L. C., et al. (2026) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2026.105069
Zanforlini, B. M., Biasetton, N., Perencin, A., Longo, G., Barzizza, E., Curreri, C., Bertocco, A. G., Ceolin, C., Sergi, G., Salmaso, L., et al. (2026) · European Geriatric Medicine · doi:10.1007/s41999-026-01592-x
Self-citationBarth, I., Stelwagen, I., Weerink, L. B. M., et al. (2026) · Supportive Care in Cancer · doi:10.1007/s00520-026-11153-4
“Sergi’s formula was applied to obtain ASMI, calculated by dividing ASM by squared height (kg/m 2 ) [14].”
Dimitrijević, Z., Randjelović, J., Tasić, D., Paunović, K., Apostolović, B., Kostić, E. N., Vrecic, T., Radivojević, A., & Mitić, B. (2026) · Medicina · doi:10.3390/medicina62091735
“Appendicular skeletal muscle mass was estimated using the Sergi equation [21] and indexed to height squared to yield the appendicular skeletal muscle index (ASMI).”
González‐Islas, D., Orea‐Tejeda, A., Meléndez-Galeana, A. G., Bárcenas-Montiel, A., Cruz, D. P. J., la Borda-Paredes, J. D. D., Vargas-Corona, E., Alday-Ramírez, S. M., Ruán-Díaz, J. C., Valderrábano-Salas, B., et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1952746
“ASMMI was assessed using Sergi’s equation (20”
Rosendahl-Riise, H., Aakre, I., Olberg, H., Mojadadi, M., Hevrøy, T. J., Engebretsen, I. M. S., Morseth, M. S., Hjartåker, A., & Henjum, S. (2026) · Norsk tidsskrift for ernæring · doi:10.18261/ntfe.24.3.3
Rosa, C., Trombim, I. C., Silva, M. Z. C., Caramori, J. C. T., de Góes, C. R., & Vogt, B. P. (2026) · Nutrire · doi:10.1186/s41110-026-00544-6
IMPACT OF KINESIOTHERAPY ON BODY COMPOSITION: A CLINICAL STUDY USING BIOIMPEDANCE ANALYSIS
STOICA, G.-C., EFTENIE, M., Techirghiol, R. B. A. R. S. O., OPREA, C., DOMUNCO, D., COJOCARU-TANEF, E., Nedelcu, A.-D., & IONESCU, E.-V. (2025) · Romanian Journal of Medical Rehabilitation Physical Medicine and Balneoclimatology · doi:10.59277/rjmrpmb.2025.2.11
Kobalava, Z., Al-Altairi, A., Yakovenko, V., & Moiseeva, A. (2026) · Siberian Journal of Clinical and Experimental Medicine · doi:10.29001/2073-8552-2026-41-3-64-73
Metadata
- Authors
- Sergi, G., De Rui, M., Veronese, N., Bolzetta, F., Berton, L., Carraro, S., Bano, G., Coin, A., Manzato, E., & Perissinotto, E.
- Affiliations
- University of Padua (IT)
- ORCID
- Venue
- Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 34
- Issue
- 4
- Pages
- 667-673
- ISSN
- 0261-5614 (ISSN-L)
- OpenAlex
- W2149295929
- Cited by
- 467
- References
- 27
- Citations by year
- 2026: 66 · 2025: 78 · 2024: 65 · 2023: 56 · 2022: 60 · 2021: 54 · 2020: 37 · 2019: 15 · 2018: 14 · 2017: 7 · 2016: 8 · 2015: 5
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- 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, prediction equations, older adults, aging, muscle mass assessment, dual-energy X-ray absorptiometry, Caucasian population
- MeSH terms
- Aged, Aged, 80 and over, Body Composition, Body Weight, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Reproducibility of Results, Absorptiometry, Photon, Body Mass Index, Linear Models, Electric Impedance, Muscle, Skeletal, White People
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