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Current Evidence and Possible Future Applications of Creatine Supplementation for Older Adults
Abstract
Sarcopenia, defined as age-related reduction in muscle mass, strength, and physical performance, is associated with other age-related health conditions such as osteoporosis, osteosarcopenia, sarcopenic obesity, physical frailty, and cachexia. From a healthy aging perspective, lifestyle interventions that may help overcome characteristics and associated comorbidities of sarcopenia are clinically important. One possible intervention is creatine supplementation (CR). Accumulating research over the past few decades shows that CR, primarily when combined with resistance training (RT), has favourable effects on aging muscle, bone and fat mass, muscle and bone strength, and tasks of physical performance in healthy older adults. However, research is very limited regarding the efficacy of CR in older adults with sarcopenia or osteoporosis and no research exists in older adults with osteosarcopenia, sarcopenic obesity, physical frailty, or cachexia. Therefore, the purpose of this narrative review is (1) to evaluate and summarize current research involving CR, with and without RT, on properties of muscle and bone in older adults and (2) to provide a rationale and justification for future research involving CR in older adults with osteosarcopenia, sarcopenic obesity, physical frailty, or cachexia.
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“Muscle creatine levels are typically lower in vegetarians [15–17] and the elderly who may not consume as much meat or seafood in their diet due to difficulty digesting these food products [18,19].”
From Creatine monohydrate supplementation for older adults and clinical populations (2025) · cites this paper as [19]
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Metadata
- Authors
- Candow, D. G., Forbes, S. C., Kirk, B., & Duque, G.
- Affiliations
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK S4SOA2, Canada
- Department of Physical Education Studies, Faculty of Education, Brandon University, Brandon, MB R7A6A9, Canada
- Department of Medicine-Western Health, The University of Melbourne, Parkville, VIC 3021, Australia
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2021-02-26
- Volume
- 13
- Issue
- 3
- Pages
- 745
- ISSN
- 2072-6643
- Cited by
- 55
- References
- 34
- Language
- en
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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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.