Weight stability masks sarcopenia in elderly men and women
Abstract
Skeletal muscle loss or sarcopenia in aging has been suggested in cross-sectional studies but has not been shown in elderly subjects using appropriate measurement techniques combined with a longitudinal study design. Longitudinal skeletal muscle mass changes after age 60 yr were investigated in independently living, healthy men ( n = 24) and women ( n = 54; mean age 73 yr) with a mean ± SD follow-up time of 4.7 ± 2.3 yr. Measurements included regional skeletal muscle mass, four additional lean components (fat-free body mass, body cell mass, total body water, and bone mineral), and total body fat. Total appendicular skeletal muscle (TSM) mass decreased in men (−0.8 ± 1.2 kg, P = 0.002), consisting of leg skeletal muscle (LSM) loss (−0.7 ± 0.8 kg, P = 0.001) and a trend toward loss of arm skeletal muscle (ASM; −0.2 ± 0.4 kg, P = 0.06). In women, TSM mass decreased (−0.4 ± 1.2 kg, P = 0.006) and consisted of LSM loss (−0.3 ± 0.8 kg, P = 0.005) and a tendency for a loss of ASM (−0.1 ± 0.6 kg, P = 0.20). Multiple regression modeling indicates greater rates of LSM loss in men. Body weight in men at follow-up did not change significantly (−0.5 ± 3.0 kg, P = 0.44) and fat mass increased (+1.2 ± 2.4 kg, P = 0.03). Body weight and fat mass in women were nonsignificantly reduced (−0.8 ± 3.9 kg, P= 0.15 and −0.8 ± 3.5 kg, P = 0.12). These observations suggest that sarcopenia is a progressive process, particularly in elderly men, and occurs even in healthy independently living older adults who may not manifest weight loss.
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About a quarter of body mass lost during an energy deficit is fat-free mass, and some of that is probably muscle.
“Typically, ∼25% of body mass lost in an energy deficit can be attributed to fat-free mass (6), some of which is likely muscle (7).”
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- Authors
- Gallagher, D., Ruts, E., Visser, M., Heshka, S., Baumgartner, R. N., Wang, J., Pierson, R. N., Pi-Sunyer, F. X., & Heymsfield, S. B.
- Affiliations
- St. Luke's-Roosevelt Hospital Center (US)
- Faculty of Medicine, Institute for Research in Extramural Medicine, 1081 BT Amsterdam, The Netherlands; and
- University of New Mexico (US)
- Department of Medicine, Obesity Research Center, St. Luke's-Roosevelt Hospital, Columbia University, New York, New York 10025;
- ORCID
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 2000-08-01
- Volume
- 279
- Issue
- 2
- Pages
- E366-E375
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W1950801571
- Cited by
- 466
- References
- 36
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 12 · 2023: 10 · 2022: 17 · 2021: 15 · 2020: 20 · 2019: 14 · 2018: 15 · 2017: 21 · 2016: 20 · 2015: 26 · 2014: 25 · 2013: 19 · 2012: 30
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Endocrinology and Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1r01ag013021-01)
- National Institute on Aging (F32 AG05679, R29-AG 14715, R01-AG-13021., F32AG005679, R29AG014715)
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Keywords
- sarcopenia, skeletal muscle mass, aging, older adults, weight stability, fat gain, sex differences, body composition
- MeSH terms
- Aged, Aged, 80 and over, Aging, Body Composition, Body Weight, Female, Humans, Longitudinal Studies, Male, Middle Aged, Muscular Atrophy, Potassium, Whole-Body Counting, Absorptiometry, Photon, Bone Density, Age Distribution, Sex Distribution, Muscle, Skeletal
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 ›
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