The DOI matches its Crossref record; 100 of the 101 references it cites were found in a registry or an index.
Skeletal muscle mass and quality: evolution of modern measurement concepts in the context of sarcopenia
Open accessAbstract
The first reports of accurate skeletal muscle mass measurement in human subjects appeared at about the same time as introduction of the sarcopenia concept in the late 1980s. Since then these methods, computed tomography and MRI, have been used to gain insights into older (i.e. anthropometry and urinary markers) and more recently developed and refined methods (ultrasound, bioimpedance analysis and dual-energy X-ray absorptiometry) of quantifying regional and total body skeletal muscle mass. The objective of this review is to describe the evolution of these methods and their continued development in the context of sarcopenia evaluation and treatment. Advances in these technologies are described with a focus on additional quantifiable measures that relate to muscle composition and ‘quality’. The integration of these collective evaluations with strength and physical performance indices is highlighted with linkages to evaluation of sarcopenia and the spectrum of related disorders such as sarcopenic obesity, cachexia and frailty. Our findings show that currently available methods and those in development are capable of non-invasively extending measures from solely ‘mass’ to quality evaluations that promise to close the gaps now recognised between skeletal muscle mass and muscle function, morbidity and mortality. As the largest tissue compartment in most adults, skeletal muscle mass and aspects of muscle composition can now be evaluated by a wide array of technologies that provide important new research and clinical opportunities aligned with the growing interest in the spectrum of conditions associated with sarcopenia.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For DXA it includes cost issues, variability in tissue thickness, lean tissue hydration, lack of skeletal muscle quanti fi cation,. the overall skeletal muscle proportion of lean mass, and the inclusion of the non-muscle lean component that may reduce accuracy in persons with obesity and lead to discrepancies between body composition and functional parameters [84,119,120].”
From Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement (2022) · cites this paper as [120]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Assessment of body composition (lean/muscle mass and fat mass) and muscle function can provide useful information to guide the clinical management of obesity.”
From Strategies for minimizing muscle loss during use of incretin‐mimetic drugs for treatment of obesity (2025) · cites this paper as [112]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
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
Self-citationComputerized transverse axial scanning (tomography): Part 1. Description of system
Hounsfield, G. N. (1973) · British Journal of Radiology · doi:10.1259/0007-1285-46-552-1016 · Cited by 3,930
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
Janssen, I., Heymsfield, S. B., Wang, Z., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.81 · Cited by 3,087
Self-citationGoodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083
Studenski, S. A., Peters, K. W., Alley, D. E., Cawthon, P. M., McLean, R. R., Harris, T. B., Ferrucci, L., Guralnik, J. M., Fragala, M. S., Kenny, A. M., et al. (2014) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu010 · Cited by 2,545
Sarcopenia: origins and clinical relevance
Rosenberg, I. H. (1997) · The Journal of Nutrition · doi:10.1093/jn/127.5.990s · Cited by 2,399
Bhasin, S., Cunningham, G. R., Hayes, F. J., Matsumoto, A. M., Snyder, P. J., Swerdloff, R. S., & Montori, V. M. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-2354 · Cited by 1,954
Newman, A. B., Kupelian, V., Visser, M., Simonsick, E. M., Goodpaster, B. H., Kritchevsky, S. B., Tylavsky, F. A., Rubin, S. M., Harris, T. B., & on Behalf of the Health, A. A. B. C. S. I. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.1.72 · Cited by 1,692
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
Self-citation
Research works printed but not linked: 7
- Heymsfield, 1981, Radiographic analysis of body composition by computerized axial tomography, Nutr Cancer, 17, 161
- Stuart, 1942, The growth of bone, muscle and overlying tissues in children 6 to 10 years of age as revealed by studies of roentgenograms of the leg area, Monogr Soc Res Child Dev, 13, 195
- Chevreul, 1835, Sur la composition chimique du bouillon de viandes (On the chemical composition of meatbroth), J Pharm Sci Access, 21, 231
- Thomasset, 1962, Bioelectrical properties of tissue impedance measurements, Lyon Med, 94, 107
- Jolene Zheng, 2014, Sarcopenic Obesity: Clinical Diagnostic Potential of 8- Electrode Multi-Segmental BIA
- Lee RC, 2003, Total-body and regional skeletal muscle mass measurement methods: an overview, Int J Body Compos Res, 1, 93
- 2013, ACSM Guidelines for Exercise Testing and Prescription
Cited by
Sorted by citations
Items 301–400 of 484
Groothof, D., Shehab, N. B. N., Post, A., Erler, N. S., Gans, R. O. B., & Bakker, S. J. L. (2026) · Kidney Medicine · doi:10.1016/j.xkme.2026.101297 · Cited by 3
de Velasco, L. M. C., Flores, J. E. G., Kraus-Fischer, G., Arteaga, J. L. M., Casas, M. J. O., Nava, K. N. A., & Morales, F. M. M. (2026) · Cureus · doi:10.7759/cureus.105734 · Cited by 3
Brath, M. S. G., Sahakyan, M., Mark, E. B., Rasmussen, H. H., Østergaard, L. R., Frøkjær, J. B., Weinreich, U. M., & Jørgensen, M. E. (2024) · International Journal of Circumpolar Health · doi:10.1080/22423982.2024.2312663 · Cited by 5
Naughton, N. M., Cahoon, S. M., Sutton, B. P., & Georgiadis, J. G. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3397790 · Cited by 3
Córdoba-Rodríguez, D. P., Iglesia, I., Gómez‐Bruton, A., Miguel‐Berges, M. L., Flores‐Barrantes, P., Casajús, J. A., Moreno, L. A., & Rodrı́guez, G. (2021) · Journal of Sports Sciences · doi:10.1080/02640414.2021.1994728 · Cited by 6
Aging Muscles, Myositis, Pain, and Peripheral Neuropathies: PET Manifestations in the Elderly
Katal, S., Taubman, K., Han, J., & Gholamrezanezhad, A. (2022) · PET Clinics · doi:10.1016/j.cpet.2022.09.009 · Cited by 3
Estimation of skeletal muscle mass in 4-year-old children using the D3-creatine dilution method
Sidiqi, A., Fariha, F., Shanta, S. S., Dasiewicz, A. S. B., Mahmud, A. A., Moore, D. R., Shankaran, M., Hellerstein, M. K., Evans, W. J., Gernand, A. D., et al. (2023) · Pediatric Research · doi:10.1038/s41390-023-02587-1 · Cited by 3
A new anthropometry-based muscle quality index predicts adverse outcomes in hospitalized patients
Burgel, C. F., Júnior, I. F. F., de Carvalho, B. Z. O., Pereira, J. P. D. C., Fayh, A. P. T., & Silva, F. M. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.04.030 · Cited by 3
Kurniawan, A. (2019) · Indonesian Journal of Cancer · doi:10.33371/ijoc.v13i3.628 · Cited by 4
Changes in muscle mass during acute short-term hospitalization of elderly patients: A mini-review
Norheim, K. L. (2017) · Translational Sports Medicine · doi:10.1002/tsm2.4 · Cited by 3
Welch, A. A., & Hayhoe, R. P. G. (2018) · Springer eBooks · doi:10.1007/978-3-319-98464-3_17 · Cited by 3
Lizama-Pérez, R. A., Muñoz-Cofré, R., Vidal-Seguel, N., Ríos, I. J. C., Jerez‐Mayorga, D., Intelangelo, L., & Ríos, L. J. C. (2023) · International Journal of Morphology · doi:10.4067/s0717-95022023000200640 · Cited by 3
Mahoney, K. B. (2016) · doi:10.23860/thesis-mahoney-kayla-2016 · Cited by 3
Shiiba, T., Mori, S., Shimozono, T., Ito, S., & Takano, K. (2024) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-024-01268-7 · Cited by 2
Sepúlveda‐Loyola, W., Álvarez‐Bustos, A., Valenzuela‐Fuenzalida, J. J., Ramírez, C., Saldías, C., & Probst, V. S. (2025) · Advances in respiratory medicine · doi:10.3390/arm93010005 · Cited by 2
Chae, K., Bettencourt, A. F., Houston, D. K., Simonsick, E. M., Ferrucci, L., Kalyani, R. R., Schoenborn, N. L., Clark, J. M., & Gudzune, K. A. (2025) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaf103 · Cited by 2
Rebouças, A. D. S., Pereira, J. P. D. C., Rüegg, R. A. B., de Medeiros, G. O. C., Bennemann, N. A., Souza, N. C., Maurício, S. F., Diniz, A. D. S., González, M. C., Prado, C. M. M., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-17872-8 · Cited by 2
Fenske, R. J., Lortie, J. J., Kooy, L. M. V., Szczykutowicz, T., Garrett, J. W., Reeder, S. B., Pickhardt, P. J., & Kuchnia, A. J. (2026) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2026.101260 · Cited by 2
Carollo, L., Lawson, E. A., Stanley, T. L., Wang, J., Bhattacharya, R., Bishop, D. J., Carmichael, O. T., Esser, K. A., Febbraio, M. A., Fielding, R. A., et al. (2026) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2026.101262 · Cited by 3
Self-citationOliveira, V. H. F., dos Santos, A. P., Kulik, G. L., Davey, C. H., Iriarte, E., Jones, R. C. F., Wilson, M. P., Khuu, V., Ghosh, D., MaWhinney, S., et al. (2026) · Age and Ageing · doi:10.1093/ageing/afag199 · Cited by 2
Beavers, K. M., Serra, M. C., Weaver, A. A., & Houston, D. K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813073-5.00035-6 · Cited by 3
Buehring, B., Mueller, C., Parvaee, R., Andreica, I., KIEFER, D. M., Kiltz, U., Tsiami, S., Pourhassan, M., Westhoff, T. H., Wirth, R., et al. (2023) · Zeitschrift für Rheumatologie · doi:10.1007/s00393-023-01332-7 · Cited by 2
Yalçın, A., Metin, Y., Karadavut, M., Gözükara, M. G., Arı, S., Gemci, E., Yurumez, B., Yiğit, S., Atmış, V., Aras, S., et al. (2023) · European Geriatric Medicine · doi:10.1007/s41999-023-00901-y · Cited by 2
Nishibe, T., Dardik, A., Akiyama, S., Kano, M., Fukuda, S., Koizumi, J., & Nishibe, M. (2024) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2023.12.094 · Cited by 2
Okada, S., Taniguchi, M., Ikezoe, T., Tsuboyama, T., Ito, H., Matsuda, S., Matsuda, F., & Ichihashi, N. (2024) · Arthritis Care & Research · doi:10.1002/acr.25412 · Cited by 2
Costa, C. E., Porto, F. E., Neto, A. F. N., de Oliveira, J. P., Passinato, I. L. D. M., Reck, H. B., & Lopes, W. A. (2020) · ConScientiae Saúde · doi:10.5585/conssaude.v18n3.13887 · Cited by 2
Erfin, M., Riviati, N., Kurniati, N., Bahar, E., Sukandi, E., & Sudarto (2021) · Bioscientia Medicina Journal of Biomedicine and Translational Research · doi:10.32539/bsm.v5i9.351 · Cited by 2
Yamada, Y. (2015) · 体力科學 · doi:10.7600/jspfsm.64.461 · Cited by 2
Tinsley, G. M., & Nickerson, B. S. (2018) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2018-0132 · Cited by 2
Connecting Diffusion MRI to Skeletal Muscle Microstructure
Naughton, N. M., & Georgiadis, J. G. (2019) · Practice and Experience in Advanced Research Computing · doi:10.1145/3332186.3333054 · Cited by 2
Victoria, D. A. M., Moreno, L. A. L., Conde, L. K. A., & Galvis, J. C. (2020) · Revista Repertorio de Medicina y Cirugía · doi:10.31260/repertmedcir.01217372.989 · Cited by 2
Matsumoto, D., Inui, F., Honda, C., Tomizawa, R., Watanabe, M., Silventoinen, K., & Sakai, N. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17217810 · Cited by 2
Barzilay, J. I., Bůžková, P., Shlipak, M. G., Lyles, M. F., Bansal, N., Garimella, P. S., Ix, J. H., Kizer, J. R., Strotmeyer, E. S., Djoussé, L., et al. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17388 · Cited by 2
Mejía, M. A., Mejía, F. M., González-Correa, C. H., Valencia, C. A. R., Tobón, P. G., & Chacón, J. A. (2023) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2023.06.022 · Cited by 2
Pervyshin, N. A., Bulgakova, S. V., Kurmaev, D. P., Treneva, E. V., & Shamin, E. A. (2023) · FOCUS Endocrinology · doi:10.15829/2713-0177-2023-3-16 · Cited by 2
Kruszewski, M., Kruszewski, A., Tabęcki, R., Kuźmicki, S., Stec, K., Ambroży, T., Aksenov, M. O., Merchelski, M., & Danielik, T. (2024) · Advances in Medical Sciences · doi:10.1016/j.advms.2024.02.008 · Cited by 2
Diagnosis of Osteosarcopenia – Imaging
Kuchnia, A. J., & Binkley, N. (2019) · Springer eBooks · doi:10.1007/978-3-030-25890-0_12 · Cited by 2
Repurposing Routine Imaging for Cancer Biomarker Discovery Using Machine Learning
Wang, J. W., & Williams, M. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-79161-2_6 · Cited by 2
Prognostication on the spot! The evolving importance of urinary creatinine in heart failure
Brisco‐Bacik, M. A. (2017) · American Heart Journal · doi:10.1016/j.ahj.2017.03.021 · Cited by 2
Establishment and validation of a prediction model for older people with sarcopeniaPreprint
Yin, G., Li, H., Li, R., Wang, Z., Lv, F., Qin, J., & Ye, X. (2022) · Research Square · doi:10.21203/rs.3.rs-2350685/v1 · Cited by 2
Atabaş, E. G., Yapıcı, A., & Fιndıkoğlu, G. (2023) · Akdeniz Spor Bilimleri Dergisi · doi:10.38021/asbid.1263233 · Cited by 1
Neuromuscular component of muscle quality assessment in older adults
Puš, K., & Šimunič, B. (2024) · Kinesiologia Slovenica scientific journal on sport · doi:10.52165/kinsi.30.1.95-111 · Cited by 1
Sarcopenia and Frailty: A Common Thread Across Multiple Comorbidities
Prokopidis, K., Hargreaves, J., & Ispoglou, T. (2024) · Springer eBooks · doi:10.1007/978-3-031-57361-3_7 · Cited by 1
Malik, R., & Goel, H. (2024) · Journal of Mid-life Health · doi:10.4103/jmh.jmh_226_23 · Cited by 1
Anthropometric basis of Human Feet: Predictive Insights into Evolution
Mishra, S., & Kapri, B. (2024) · International Journal of Kinanthropometry · doi:10.34256/ijk2428 · Cited by 1
Yamaoka, Y., Chan, W. I., Seno, S., Iwamori, K., Fukada, S., & Matsuda, H. (2024) · Scientific Reports · doi:10.1038/s41598-024-78433-z · Cited by 2
Deniz, P. P., Köse, S., Hanta, İ., Çetinkaya, P. D., Arslan, M. S., & Datlı, E. (2025) · Medicina · doi:10.3390/medicina61071181 · Cited by 1
Zheng, J., Wang, S., Zheng, G.-H., Zhang, J., Hou, S., Li, Y.-N., Li, T., Yuan, L., Yin, D.-Y., Chen, H., et al. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.07.028 · Cited by 1
Self-citationNieves-Silva, R., Ríos, L. J. C., Ríos, I. J. C., García, D. M., Jiménez-Lupión, D., & Jerez‐Mayorga, D. (2025) · European Geriatric Medicine · doi:10.1007/s41999-025-01310-z · Cited by 1
Siragusa, L., Orecchia, L., Gismondi, A., Marrone, G., Chiaramonte, C., Martino, R. D., Conte, L. E., Collini, A., Noce, A., Tisone, G., et al. (2025) · Transplantation Proceedings · doi:10.1016/j.transproceed.2025.08.021 · Cited by 1
Bužga, M., Pekár, M., Horká, V., Hývlová, D., Jiřík, R., Uchytil, J., Rygelová, M., Kutáč, P., Tomášková, H., Vilímek, D., et al. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.11.009 · Cited by 1
Tatebayashi, D., Makiura, D., Okumura, M., Fujiwara, K., Mizuta, M., Inoue, J., & Sakai, Y. (2026) · JCSM Communications · doi:10.1002/rco2.70026 · Cited by 1
Zhang, W., Wu, Q., Chen, Q., Qin, W., Zhang, D., Xu, Q., Han, P., & Sun, J. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1805067 · Cited by 2
Topkan, E., Somay, E., Öztürk, D., & Selek, U. (2026) · Diagnostics · doi:10.3390/diagnostics16111611 · Cited by 1
Standardizing calf circumference measurements to improve muscle mass assessment
Benet, A. C. V., Orlandi, S. P., Rocha, L. S., Barbosa-Silva, T. G., Bielemann, R. M., Santos, L. W. F., Prado, C. M. M., & González, M. C. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106699 · Cited by 1
Sancho-Haro, E. S., Muñoz-López, M., Baz-Valle, E., Villanueva-Tobaldo, C. V., Tornero-Aguilera, J. F., López-Gil, J. F., López‐Moreno, M., Martín-Rodríguez, A., & Clemente‐Suárez, V. J. (2026) · Pharmaceuticals · doi:10.3390/ph19060897 · Cited by 1
Miyagami, T., Yokokawa, H., Fujibayashi, K., Fukuda, H., Hisaoka, T., & Naito, T. (2020) · Osteoporosis and Sarcopenia · doi:10.1016/j.afos.2020.02.004 · Cited by 1
Widjaja, G., & Sijabat, H. H. (2021) · Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences · doi:10.33258/birci.v4i3.2419 · Cited by 1
Sarcopenia: Technological Advances in Measurement and Rehabilitation
Lorusso, L., Esposito, L., Sancarlo, D., & D’Onofrio, G. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.101278 · Cited by 1
Barry, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-43044-9.00217-x · Cited by 1
Assessment of low muscle mass and strength in a control population
Arnáiz, E. G., Ballesteros-Pomar, M. D., de la Maza, B. P., Roza, L. G., Bachiller, B. R., Cobo, D. A., Cuevas, M. J., Galindo, D. E. B., & Rodríguez, I. C. (2022) · Nutrición Hospitalaria · doi:10.20960/nh.04013 · Cited by 1
Hartog, J., Dijkstra, S., Dieperink, W., Hoekstra, T., Fleer, J., van der Woude, L. H. V., van der Harst, P., Nijsten, M. W., Mariani, M. A., & Blokzijl, F. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03056-7 · Cited by 1
Muscle Imaging in Muscular Dystrophies
Leung, D. G. (2023) · Current clinical neurology · doi:10.1007/978-3-031-44009-0_15 · Cited by 1
Developing Strategies in Skeletal Muscle Mass Measurements for Diagnosing Sarcopenia Disease
Shanthi, K. G., Devi, S., Sesha Vidhya, S., Rajagopal, R., Sarala, B., & Harinee, G. A. (2024) · International Conference on Sustainable Computing and Smart Systems (ICSCSS) · doi:10.1109/icscss60660.2024.10625582 · Cited by 1
Predictors of active cancer thromboembolic outcomes: role of body composition
Iftikhar, O., Silva-Palacios, F., Cherry, M. A., Mansfield, A. S., Stoner, J. A., & Tafur, A. J. (2017) · International Angiology · doi:10.23736/s0392-9590.16.03668-3 · Cited by 1
Kołodziej, M., Koźlenia, D., Kochan, K., & Domaradzki, J. (2020) · Human Movement · doi:10.5114/hm.2020.95989 · Cited by 1
Erfin, M., Riviati, N., Kurniati, N., Bahar, E., Sukandi, E., & Sudarto (2021) · Bioscientia Medicina Journal of Biomedicine and Translational Research · doi:10.32539/bsm.v5i3.351 · Cited by 1
Miedany, Y. M. E. (2022) · Springer eBooks · doi:10.1007/978-3-030-87950-1_3 · Cited by 1
Gollie, J. M., & Harris‐Love, M. O. (2020) · Springer eBooks · doi:10.1007/978-3-030-30892-6_9 · Cited by 1
Mehta, N. M. (2020) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0000000000002959 · Cited by 1
Avaliação da associação entre composição corporal e os domínios da capacidade intrínseca
Taveira, R. C. C. (2022) · doi:10.11606/d.17.2022.tde-21062022-145038 · Cited by 1
Raymond‐Pope, C. J. (2016) · University of Minnesota Digital Conservancy (University of Minnesota)
Skeletal Muscle Dysfunction in Lung Transplant Patients
Rozenberg, D. (2017) · TSpace (University of Toronto)
The Influence of Neoadjuvant Chemoradiotherapy on Muscle Mass in Patients with Rectal Cancer
Simpson, G., Marks, T. A., Blacker, S., Magee, C. J., & Wilson, J. (2019) · World Journal of Colorectal Surgery · doi:10.4103/wjcs.wjcs_12_19
Associations Between Quadriceps Muscle Quality, Quadriceps Function, and Functional Ability
Dibbert, A. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/tcm0-k749
Sarcopenia Predicts Lower Long-term Survival Among AAA Patients Submitted to EVAR
Díaz‐Duran, C., Fa-Binefa, M., Joan, M. M., Torres, E. M., Velescu, A., Juscafresa, L. C., Pont, C. L., & Velasco, A. C. (2019) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2019.06.1120
Features of electrical activity of inspiratory muscles in different age groups
Miroshnichenko, A. I., Sidorova, M., Kunarbaeva, А. К., Ivanov, K., & Miroshnichenko, I. V. (2020) · Bulletin physiology and pathology of respiration · doi:10.36604/1998-5029-2020-75-40-46
Dieckmeyer, M., Zoffl, F., Grundl, L., Inhuber, S., Schlaeger, S., Burian, E., Zimmer, C., Kirschke, J. S., Karampinos, D. C., Baum, T. H., et al. (2020) · European Radiology Experimental · doi:10.1186/s41747-020-00162-5
The Cachexia Syndrome in Pancreatic Cancer
van Dijk, D. P. J., Rensen, S. S., & Damink, S. W. M. O. (2021) · Springer eBooks · doi:10.1007/978-3-030-53786-9_17
Salutondok, W., Riviati, N., Kusnadi, Y., Bahar, E., Kuniati, N., & Indra, S. (2021) · Bioscientia Medicina Journal of Biomedicine and Translational Research · doi:10.32539/bsm.v5i2.220
Sleep and Musculoskeletal System
Souza, H. D. S., Kravchychyn, A. C. P., & Giampá, S. Q. D. C. (2021) · Springer eBooks · doi:10.1007/978-3-030-85074-6_34
Indurain, A., Linge, J., Petersson, M., Romu, T., Uhlin, F., Fernström, A., Segelmark, M., & Leinhard, O. D. (2021) · Research Square · doi:10.21203/rs.3.rs-1111144/v1
Hwang, D., Han, H., Lee, M. C., & Ro, D. H. (2022) · Research Square · doi:10.21203/rs.3.rs-1211390/v1
Bahat, G., & Erdoğan, T. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_541
Miedany, Y. M. E. (2022) · Springer eBooks · doi:10.1007/978-3-030-87950-1_2
Desnutrição e sarcopenia em pacientes cirróticos com e sem hérnia abdominal
Baptista, C. G. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2021.tde-25032022-121347
Yang, L., Fan, Y., Wang, Z., Cen, Y., Xiong, Y., & Ren, H. (2022) · Research Square · doi:10.21203/rs.3.rs-1472883/v1
Sue, K., Kobayashi, Y., Ito, M., Minorikawa, M., Karasawa, S., Katai, S., & Momose, K. (2022) · Research Square · doi:10.21203/rs.3.rs-1553450/v1
Kawakami, R., Wang, D., Sawada, S. S., Tanisawa, K., Tabata, H., Ito, T., Usui, C., Ishii, K., Torii, S., Higuchi, M., et al. (2022) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.11.189
Bahat, G., & Erdoğan, T. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_541-1
Bahat, G., & Erdoğan, T. (2020) · Springer eBooks · doi:10.1007/978-3-319-69892-2_541-2
Bahat, G., & Erdoğan, T. (2021) · Springer eBooks · doi:10.1007/978-3-319-69892-2_541-3
Bioimpedance analysis of body composition in elderly and old men with polymorbid pathology
Kurmaev, D. P. (2021) · Science and Innovations in Medicine · doi:10.35693/2500-1388-2022-7-1-22-25
A IMPORTÂNCIA DA AVALIAÇÃO E PREVENÇÃO DO RISCO DE QUEDA
Nascimento, R., Figueiredo, J., & Carvalho, A. B. (2022) · Brazilian Journals Editora eBooks · doi:10.35587/brj.ed.0001717
PEDAGOGIA DO JOGO: CONCEITOS E REFLEXÕES PARA O ENSINO DO FUTEBOL
Júnior, A. L. G., Júnior, J. B., Machado, J. C., & Scaglia, A. J. (2022) · Brazilian Journals Editora eBooks · doi:10.35587/brj.ed.0001713
TREINAMENTO NO FUTEBOL: MONITORAMENTO DE CARGAS DE TREINO E APLICAÇÃO DE JOGOS REDUZIDOS
Mendonça, R., Alcântara, C. H., Fernandes, J., & Machado, J. C. (2022) · Brazilian Journals Editora eBooks · doi:10.35587/brj.ed.0001715
Metadata
- Authors
- Heymsfield, S. B., Gonzalez, M. C., Lu, J., Jia, G., & Zheng, J.
- Affiliations
- Pennington Biomedical Research Center (US)
- Corresponding author
- Heymsfield, Steven B.
- Venue
- Proceedings of the Nutrition Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2015-04-08
- Volume
- 74
- Issue
- 4
- Pages
- 355-366
- ISSN
- 0029-6651 (ISSN-L)
- 1475-2719
- OpenAlex
- W2002911924
- Semantic Scholar
- 952a7bf2738462331c6d3830a04208ca3846d859
- Cited by
- 483
- References
- 101
- Citations by year
- 2026: 28 · 2025: 38 · 2024: 51 · 2023: 73 · 2022: 66 · 2021: 57 · 2020: 60 · 2019: 42 · 2018: 33 · 2017: 22 · 2016: 8 · 2015: 5
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of The Nutrition Society (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Keywords
- sarcopenia, skeletal muscle mass, muscle quality, muscle composition, sarcopenic obesity, cachexia, frailty, muscle strength, physical performance, muscle mass assessment, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, ultrasound, computed tomography, magnetic resonance imaging, anthropometry
- MeSH terms
- Body Composition, Diagnostic Imaging, Humans, Physical Fitness, Muscle, Skeletal, Muscle Strength, Sarcopenia
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