Cited by 484Nutrition and Health in AgingBody Composition Measurement TechniquesMuscle Physiology and Disorders

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 access
Heymsfield, Steven B., Gonzalez, M. Cristina, Lu, Jianhua, Jia, Guang, Zheng, Jolene·2015·Proceedings of the Nutrition Society

Abstract

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s0029665115000129

Cites

100 of 100 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 101 references

Research works printed but not linked: 7

  1. Heymsfield, 1981, Radiographic analysis of body composition by computerized axial tomography, Nutr Cancer, 17, 161
  2. 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
  3. Chevreul, 1835, Sur la composition chimique du bouillon de viandes (On the chemical composition of meatbroth), J Pharm Sci Access, 21, 231
  4. Thomasset, 1962, Bioelectrical properties of tissue impedance measurements, Lyon Med, 94, 107
  5. Jolene Zheng, 2014, Sarcopenic Obesity: Clinical Diagnostic Potential of 8- Electrode Multi-Segmental BIA
  6. Lee RC, 2003, Total-body and regional skeletal muscle mass measurement methods: an overview, Int J Body Compos Res, 1, 93
  7. 2013, ACSM Guidelines for Exercise Testing and Prescription

Cited by

Sorted by citations

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
Published
2015-04-08
Volume
74
Issue
4
Pages
355-366
ISSN
  • 0029-6651 (ISSN-L)
  • 1475-2719
OpenAlex
W2002911924
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
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