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 BIA-derived formulas exist for predicting appendicular lean mass (ALM) and fat mass (AFM) in sarcopenic older adults.
“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]
Only 5% of Sergi's sample had an SPPB score of 8 or less, compared with 62% in the present study.
“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]
Physical function was substantially higher in Sergi's sample than in the present study's sample.
“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]
The existing BIA models of Kyle et al. and Sergi et al. significantly overestimated appendicular lean mass measured by DXA.
“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]
The newly proposed ALM equations are more reliable when applied to sarcopenic older adults than previously published equations, which were developed in adults without physical function decline.
“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]
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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 50 · see citing works
Malafarina, V., Malafarina, C., Ugarte, A. B., Martínez, J. A., Abete, I., & Zulet, M. Á. (2019) · Nutrients · doi:10.3390/nu11092243 · Cited by 47 · see citing works
“Appendicular skeletal muscle mass (ASMM) was calculated according to the formula [32]:”
MethodFloriano, J. P., Nahas, P. C., de Branco, F. D., dos Reis, A. S., Rossato, L., Santos, H. O., Limirio, L. S., Ferreira-Filho, S., & de Oliveira, E. D. (2020) · Nutrients · doi:10.3390/nu12082390 · Cited by 39 · see citing works
Witham, M. D., McDonald, C., Wilson, N., Rennie, K., Bardgett, M., Bradley, P., Clegg, A. P., Connolly, S., Hancock, H. C., Hiu, S. K. W., et al. (2025) · The Lancet Healthy Longevity · doi:10.1016/j.lanhl.2025.100695 · Cited by 46 · see citing works
Bianchi, L., Maietti, E., Abete, P., Bellelli, G., Bo, M., Cherubini, A., Corica, F., Bari, M. D., Maggio, M. G., Martone, A. M., et al. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz249 · Cited by 43 · see citing works
“Appendicular Skeletal muscle Mass (ASM) was calculated using the following equation by Sergi and colleagues (17): ASM (Kg)= -3.”
MethodPredicting 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 · see citing works
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 · see citing works
“…equation from InBody770 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],…”
MethodAlvero‐Cruz, J. R., Brikis, M., Chilibeck, P. D., Frings‐Meuthen, P., Guzmán, J. F. V., Mittag, U., Michély, S., Mulder, E. R., Tanaka, H., Tank, J., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.643649 · Cited by 41 · see citing works
Wang, Y., Luo, D., Liu, J., Song, Y., Jiang, B., & Jiang, H. (2023) · PLoS ONE · doi:10.1371/journal.pone.0286745 · Cited by 40 · see citing works
van Dronkelaar, C., Tieland, M., Cederholm, T., Reijnierse, E. M., Weijs, P. J. M., & Kruizenga, H. (2023) · Nutrients · doi:10.3390/nu15245126 · Cited by 41 · see citing works
“The impedance, reactance, and resistance at 50 kHz of the BIA were used to apply the Rutten [22], Sergi [23], and Janssen [24] equations to determine the fat-free mass index (FFMI), the appendicular skeletal muscle mass index (ASMI), and the skeletal muscle mass index (SMI), respectively.”
MethodFusco, D., Ferrini, A., Pasqualetti, G., Giannotti, C., Cesari, M., Laudisio, A., Ballestrero, A., Scabini, S., Odetti, P. R., Colloca, G. F., et al. (2020) · European Journal of Clinical Investigation · doi:10.1111/eci.13347 · Cited by 40 · see citing works
“All rights reserved [79] Sergi G, De Rui M, Veronese N, Bolzetta F, Berton L, Carraro S, Bano G, Coin A, Manzato E, Perissinotto E.”
BackgroundFaverio, P., Fumagalli, A., Conti, S., et al. (2022) · Respiratory Research · doi:10.1186/s12931-022-02159-7 · Cited by 38 · see citing works
“[9] and patients were classified based on EWGSOP2 2019 definition.”
MethodAssociation Between Sarcopenia and Fracture Risk in a Population From the UK Biobank Database
Jauffret, C., Périchon, R., Lamer, A., Cortet, B., Chazard, E., & Paccou, J. (2023) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4884 · Cited by 36 · see citing works
“calculate an approximation of skeletal muscle mass (SMM) (Sergi or Janssen equation((7,8))) and then the skeletal muscle index (SMI; kg/height(m)(2)).”
MethodCappellari, G. G., Semolic, A., Zanetti, M., Vinci, P., Ius, M., Guarnieri, G., Busetto, L., Donini, L. M., & Barazzoni, R. (2023) · Metabolism · doi:10.1016/j.metabol.2023.155595 · Cited by 37 · see citing works
Bellafronte, N., Sizoto, G. R., Vega-Piris, L., Chiarello, P., & Cuadrado, G. B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242671 · Cited by 30 · see citing works
“AFFM was calculated by the Sergi equation [20], recommended by the European Working Group on Sarcopenia in Older People [21] for prediction of AFFM by bioelectrical impedance, as estimates of muscle mass differ when different devices, brands, and reference populations are used [31, 32].”
MethodInfluentialBuscemi, C., Ferro, Y., Pujia, R., Mazza, E., Boragina, G., Sciacqua, A., Piro, S., Pujia, A., Sesti, G., Buscemi, S., et al. (2021) · Nutrients · doi:10.3390/nu13061909 · Cited by 36 · see citing works
“Hand-t -foot bioelectrical impedance analysis (BIA) (BIA-EFG electrofluid graph, Akern srl, Florence, Italy) was performed to estimate the percentage of FM [34], phase angle (pA), and ASMM according to the manufacturer’s equations (Akern, Bodygram Plus software) [14,35].”
MethodCampa, F., Schoenfeld, B. J., Marini, E., Stagi, S., Mauro, M., & Toselli, S. (2021) · Nutrients · doi:10.3390/nu13072267 · Cited by 37 · see citing works
Formiga, F., Moreno‐González, R., Corsonello, A., Carlsson, A. C., Ärnlöv, J., Mattace-Raso, F. U. S., Kostka, T., Weingart, C., Roller‐Wirnsberger, R., Tap, L., et al. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02916-9 · Cited by 35 · see citing works
“equation [23], a cross-validated equation for standardization specifically derived from older European populations, as recommended by the EWGSOP2 consensus.”
MethodSarcopenia: investigation of metabolic changes and its associated mechanisms
Júnior, J. G. M., Shokry, E., Uhl, O., Baber, L., Hofmeister, F., Jarmusch, S., Bidlingmaier, M., Ferrari, U., Koletzko, B. V., & Drey, M. (2023) · Skeletal Muscle · doi:10.1186/s13395-022-00312-w · Cited by 35 · see citing works
Gómez-Martínez, M., Rodríguez-García, W., González-Islas, D., Orea-Tejeda, A., Keirns-Davis, C., Salgado-Fernández, F., Hernández-López, S., Jiménez-Valentín, A., Rios-Pereda, A., Marquez-Cordero, J., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12041321 · Cited by 32 · see citing works
“Appendicular skeletal muscle mass index (ASMMI) was assessed according to Sergi’s formula [24]: ASMMI (kg/m2) = [−3.”
MethodFluitman, K. S., van den Broek, T. J., Nieuwdorp, M., Visser, M., IJzerman, R. G., & Keijser, B. J. F. (2021) · Scientific Reports · doi:10.1038/s41598-021-02558-8 · Cited by 34 · see citing works
Prevalence of Sarcopenia in Women with Breast Cancer
Morlino, D., Marra, M., Cioffi, I., Santarpia, L., Placido, P. D., Giuliano, M., Angelis, C. D., Carrano, S., Verrazzo, A., Buono, G., et al. (2022) · Nutrients · doi:10.3390/nu14091839 · Cited by 34 · see citing works
“ASM was calculated using the Sergi BIA equation [26].”
MethodSkeletal 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 · see citing works
Tu, S., Hao, X., Xu, S., Jin, X., Liao, W., Xia, H., Wang, S., & Sun, G. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146740 · Cited by 35 · see citing works
Borges, K., Artacho, R., Jodar-Graus, R., et al. (2022) · Nutrients · doi:10.3390/nu14204255 · Cited by 32 · see citing works
“From the resistance and reactance, the Appendicular Skeletal Muscle Mass (ASMM) was determined, according to the following equation of Sergi et al. (2015) [32]: ASMM (kg) = −3.965 + (0.222 × RI) + (0.095 × weight) + (1.384 × sex) + (0.064 × Xc).”
MethodInfluentialResearch progress on sarcopenia in the musculoskeletal system
Mao, X., Lv, K., Qi, W., Cheng, W., Li, T., Sun, Y., Jin, H., Pan, H., & Wang, D. (2025) · Bone Research · doi:10.1038/s41413-025-00455-8 · Cited by 37 · see citing works
Groenendijk, I., Kramer, C. S., den Boeft, L. M., Hobbelen, H. J. S. M., van der Putten, G.-J., & de Groot, C. P. G. M. (2020) · Nutrients · doi:10.3390/nu12092528 · Cited by 31 · see citing works
“For the calculation of ASMM, the equation developed by Sergi was used [45].”
MethodNutritional 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 30 · see citing works
“where RI indicate Rz normalized for height [10].”
BackgroundMultidisciplinary approach to sarcopenia: a narrative review
Park, W.-T., Shon, O., & Kim, G. B. (2023) · Journal of Yeungnam Medical Science · doi:10.12701/jyms.2023.00724 · Cited by 30 · see citing works
“It is recommended to consider the measurements using the cross-validated Sergi equation [53], as the measurements may vary from one device to another, and there may be differences based on the population used.”
MethodMoreno‐González, R., Cruzado, J. M., Corsonello, A., Fabbietti, P., Tap, L., Mattace-Raso, F. U. S., Ärnlöv, J., Carlsson, A. C., Guligowska, A., Kostka, T., et al. (2023) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2023.12.002 · Cited by 30 · see citing works
Tee, Y., Cheng, C., Wu, Y.-T., Kang, S., Derstine, B. A., Fu, C., Liao, C., Su, G. L., Wang, S. C., & Hsieh, C. (2020) · European Journal of Trauma and Emergency Surgery · doi:10.1007/s00068-020-01360-x · Cited by 28 · see citing works
González‐Islas, D., Sánchez-Moreno, C., Orea‐Tejeda, A., Hernández-López, S., Salgado-Fernández, F., Keirns‐Davis, C., Galicia-Amor, S., Trejo-Mellado, E., Gochicoa‐Rangel, L., & Castorena-Maldonado, A. R. (2022) · BMC Pulmonary Medicine · doi:10.1186/s12890-022-02014-x · Cited by 28 · see citing works
“according to Sergi’s formula [27]: ASMM (Kg/m2) = [− 3.”
MethodSteihaug, 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 · see citing works
“BIA values were used in equations by Kyle et al (12), Tengvall et al (13), Janssen et al (18) and Sergi et al (19) for predicting muscle mass. BIA equations were chosen based on ability to predict ALM or total body muscle mass. Results for total body muscle mass were converted to appendicular lean…”
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 · see citing works
“The difference between these two reports [9,12] and the present study may relate to the fact that the lean mass of a single arm is naturally lower than the total ASMM, and the equation is less precise the smaller the mass to be estimated.”
ResultSelf-citationSarcopenia in Parkinson's disease: from pathogenesis to interventions
Gui, M., Lv, L., Hu, S., Qin, L., & Wang, C. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156272 · Cited by 28 · see citing works
Estimation of Muscle Mass in the Integrated Assessment of Patients on Hemodialysis
Sabatino, A., Broers, N. J. H., SANDE, F. M. V. D., Hemmelder, M. H., Fiaccadori, E., & Kooman, J. P. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.697523 · Cited by 27 · see citing works
“064Xc), was primarily validated in an elderly Caucasian population (36).”
BackgroundBeberashvili, I., Azar, A., Khatib, A., Hamad, R. A., Neheman, A., Efrati, S., & Doenyas‐Barak, K. (2022) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2022.05.003 · Cited by 27 · see citing works
Iranzo, M. À. C. I., Arnal‐Gómez, A., Chuliá, M. Á. T., Balasch‐Bernat, M., Forcano, S., Sentandreu‐Mañó, T., Tomás, J. M., & Serrano, N. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17124483 · Cited by 27 · see citing works
“064 × Xc) [25], where resistive index (RI) was resistance (ohms) normalised for height (cm), weight (kg), sex was 1 in men and 0 in women, and reactance (Xc, ohms).”
BackgroundCoëffier, 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 · see citing works
Mulinacci, G., Pirola, L., Gandola, D. G., et al. (2024) · United European Gastroenterology Journal · doi:10.1002/ueg2.12566 · Cited by 28 · see citing works
“25 FFMI is defined as free fat mass adjusted for body size using height squared and has shown a strong positive correlation with BIA ‐ and DXA ‐ measured ASMI, thus being a potential surrogate marker of ASMI.”
MethodHsu, H.-J., Yen, C.-H., Wu, I., Liu, M., Cheng, H.-Y., Lin, Y.-T., Lee, C., Hsu, K., Sun, C., Chen, C., et al. (2021) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2021.08.037 · Cited by 27 · see citing works
Sabatino, A., Regolisti, G., Benigno, G. D., Mario, F. D., Avesani, C. M., & Fiaccadori, E. (2021) · Journal of Nephrology · doi:10.1007/s40620-021-01167-y · Cited by 26 · see citing works
López-Gómez, J. J., García-Beneitez, D., Jiménez-Sahagún, R., Izaola-Jáuregui, O., Primo-Martín, D., Ramos-Bachiller, B., Gómez-Hoyos, E., Delgado-García, E., Pérez-López, P., & de Luis-Román, D. D. (2023) · Nutrients · doi:10.3390/nu15183923 · Cited by 22 · see citing works
“Statistical signi fi cance was considered as a p -value with a value below 0.05.”
MethodInfluentialFernandez, M. G., Pérez-Nogueras, J., Serrano‐Oliver, A., Torres-Anoro, E., Sanz-Arque, A., Arbonés-Mainar, J. M., & Sanz‐París, A. (2021) · Diagnostics · doi:10.3390/diagnostics11091587 · Cited by 25 · see citing works
“Electrical parameters obtained with BIA were converted to appendicular skeletal muscle mass (ASM) using the cross-validated Sergi equation [22], based on older European populations.”
MethodDupertuis, 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 · see citing works
No effect of topical ampicillin prophylaxis in elective operations of the colon or rectum.
Raahave, D., Hesselfeldt, P., Pedersen, T., Zachariassen, A., Kann, D., & Hansen, O. H. (1989) · PubMed · Cited by 25 · see citing works
Limirio, L. S., Santos, H. O., dos Reis, A. S., & de Oliveira, E. D. (2019) · European Journal of Clinical Nutrition · doi:10.1038/s41430-019-0535-5 · Cited by 19 · see citing works
Reinders, I., Wijnhoven, H. A. H., Jyväkorpi, S. K., Suominen, M. H., Niskanen, R. T., Bosmans, J. E., Brouwer, I. A., Fluitman, K. S., Klein, M. C. A., Kuijper, L. D. J., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-040637 · Cited by 24 · see citing works
Arnal‐Gómez, A., Iranzo, M. À. C. I., Tomás, J. M., Chuliá, M. Á. T., Balasch‐Bernat, M., Sentandreu‐Mañó, T., Forcano, S., & Serrano, N. C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10051018 · Cited by 25 · see citing works
Kołodziej, M., Ignasiak, Z., & Ignasiak, T. (2021) · Nutrition · doi:10.1016/j.nut.2021.111342 · Cited by 23 · see citing works
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 26 · see citing works
“Using the most appropriate equation among the equations available in the literature, taking into account nutritional, ethnic-related, and age-related characteristics of the sample in which the equation has been validated, might even improve the sensitivity of low ALM diagnosis (26).”
BackgroundResultFluitman, K. S., Davids, M., Olofsson, L. E., Wijdeveld, M., Tremaroli, V., Keijser, B. J. F., Visser, M., Bäckhed, F., Nieuwdorp, M., & IJzerman, R. G. (2022) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13002 · Cited by 24 · see citing works
“001).(13) Blood pressure was measured at the left arm in duplicate using an automatic Omron M7 device (Omron Corporation, Tokyo, Japan).”
MethodPhysical Exercise in the Oldest Old
Valenzuela, P. L., Castillo‐García, A., Morales, J. S., Izquierdo, M., Rexach, J. A. S., Santos‐Lozano, A., & Lucía, A. (2019) · Comprehensive physiology · doi:10.1002/j.2040-4603.2019.tb00097.x · Cited by 23 · see citing works
Does gait speed contribute to sarcopenia case-finding in a postacute rehabilitation setting?
Sánchez‐Rodríguez, D., Marco, E., Miralles, R., Guillén-Solà, A., Vázquez‐Ibar, O., Escalada, F., & Muniesa, J. M. (2015) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2015.05.008 · Cited by 24 · see citing works
Diagnosis and prevalence of sarcopenia in long-term care homes: EWGSOP2 versus EWGSOP1
Ruiz‐López, M. D., Rodríguez‐Rejón, A. I., & Martín-Lagos, R. A. (2019) · Nutrición Hospitalaria · doi:10.20960/nh.02573 · Cited by 24 · see citing works
“(25) MMEA (kg) = -3,964 + (0,227 × IR) + (0,095 × peso [kg]) + (1,384 × sexo) + (0,064 × reactancia [Ω]) IMMEA: Mujeres: 6 kg/m(2) Hombres: 7 kg/m(2)”
BackgroundInfluential
- 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
- 448
- References
- 27
- Citations by year
- 2026: 50 · 2025: 75 · 2024: 62 · 2023: 54 · 2022: 57 · 2021: 54 · 2020: 36 · 2019: 15 · 2018: 14 · 2017: 7 · 2016: 8 · 2015: 5 · 2012: 1
- FWCI
- 3.91
- 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 › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › 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
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