The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Relation between whole-body and regional measures of human skeletal muscle.
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“In the general population, leg skeletal muscle mass declines progressively from age 30 years at a rate of approximately 8–10% per decade (Lynch et al., 1999; Janssen et al., 2000; Lee et al., 2004; Mitchell et al., 2012; Moore et al., 2014)”
From Comparison of Muscle Function, Bone Mineral Density and Body Composition of Early Starting and Later Starting Older Masters Athletes (2019) · cites this paper as Lee et al., 2004
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Citations
Cites
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-citationMitsiopoulos, N., Baumgartner, R. N., Heymsfield, S. B., Lyons, W., Gallagher, D., & Ross, R. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.1.115 · Cited by 1,522
Self-citation
Research works printed but not linked: 14
- Lee, 2001, Skeletal muscle mass and aging: regional and whole-body measurement methods, Can J Appl Physiol, 26, 102, 10.1139/h01-008 · DOI
- Engstrom, 1991, Morphometry of the human thigh muscles. A comparison between anatomical sections and computer tomographic and magnetic resonance images, J Anat, 176, 139
- Ross R, Janssen I. Computed tomography and magnetic resonance imaging. In: Heymsfield SHB, Lohman T. Human body composition.2nd ed.Champaign, IL: Human Kinetics(in press)
- Tracy, 2003, A more efficient magnetic resonance imaging-based strategy for measuring quadriceps muscle volume, Med Sci Sports Exerc, 35, 425, 10.1249/01.MSS.0000053722.53302.D6 · DOI
- Narici, 1996, Human quadriceps cross-sectional area, torque and neural activation during 6 months strength training, Acta Physiol Scand, 157, 175, 10.1046/j.1365-201X.1996.483230000.x · DOI · Paper page
- Wong, 2003, Abdominal adipose tissue distribution and metabolic risk, Sports Med, 33, 709, 10.2165/00007256-200333100-00001 · DOI
- Ross, 1992, Quantification of adipose tissue by MRI: relationship with anthropometric variables, J Appl Physiol, 72, 787, 10.1152/jappl.1992.72.2.787 · DOI · Paper page
- Thomas, 1998, Magnetic resonance imaging of total body fat, J Appl Physiol, 85, 1778, 10.1152/jappl.1998.85.5.1778 · DOI · Paper page
- Sjostrom, 1991, A computer-tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue, Int J Obes, 15, 19
- Ross, 1996, Influence of diet and exercise on skeletal muscle and visceral adipose tissue in men, J Appl Physiol, 81, 2445, 10.1152/jappl.1996.81.6.2445 · DOI · Paper page
- Hotelling, 1940, The selection of variants for use in prediction with some comments on the general problem of nuisance parameters, Ann Math Stat, 11, 271, 10.1214/aoms/1177731867 · DOI · Paper page
- Tracy, 1999, Muscle quality. II. Effects of strength training in 65- to 75-yr-old men and women, J Appl Physiol, 86, 195, 10.1152/jappl.1999.86.1.195 · DOI · Paper page
- Grimby, 1992, Training can improve muscle strength and endurance in 78- to 84-yr-old men, J Appl Physiol, 73, 2517, 10.1152/jappl.1992.73.6.2517 · DOI
- Abe, 2003, Whole body muscle hypertrophy from resistance training: distribution and total mass, Br J Sports Med, 37, 543, 10.1136/bjsm.37.6.543 · DOI
Cited by
Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afy169 · Cited by 13,818
Allan, C. A., Strauss, B. J. G., Burger, H. G., Forbes, E. A., & McLachlan, R. I. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-1291 · Cited by 298
Reference Values for Skeletal Muscle Mass – Current Concepts and Methodological Considerations
Walowski, C. O., Braun, W., Maisch, M. J., Jensen, B., Peine, S., Norman, K., Müller, M. J., & Bosy-Westphal, A. (2020) · Nutrients · doi:10.3390/nu12030755 · Cited by 200
Lower extremity muscle function after strength or power training in older adults.
Marsh, A. P., Miller, M. E., Rejeski, W. J., Hutton, S. L., & Kritchevsky, S. B. (2009) · Journal of Aging and Physical Activity · doi:10.1123/japa.17.4.416 · Cited by 155
Smith, G. I., Yoshino, J., Reeds, D. N., Bradley, D., Burrows, R. E., Heisey, H. D., Moseley, A. C., & Mittendorfer, B. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2835 · Cited by 124
Metadata
- Authors
- Jung Lee, S., Janssen, I., Heymsfield, S. B., & Ross, R.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 80
- Issue
- 5
- Pages
- 1215-1221
- ISSN
- 0002-9165
- Cited by
- 132
- References
- 2
- Language
- en
- Update notices
- erratum (2005-02-01)
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 6680 d)
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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.
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- CoChat. (2026). Citation check: Relation between whole-body and regional measures of human skeletal muscle. https://app.cochat.ai/papers/10.1093/ajcn/80.5.1215
- The paper
- Jung Lee, S., Janssen, I., Heymsfield, S. B., & Ross, R. (2004). Relation between whole-body and regional measures of human skeletal muscle. The American Journal of Clinical Nutrition. https://doi.org/10.1093/ajcn/80.5.1215
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
