Clinical Interventions in Aging
Volume 16, 2021 - Issue
Open access
425
Views
20
CrossRef citations to date
0
Altmetric
Original Research
Cut-off Values for Lower Limb Muscle Thickness to Detect Low Muscle Mass for Sarcopenia in Older Adults
Yoshihiro Fukumoto1 Department of Physical Medicine and Rehabilitation, Kansai Medical University, Hirakata, Japan;2 Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, JapanCorrespondence[email protected]
https://orcid.org/0000-0003-0516-770X
Tome Ikezoe2 Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
, Masashi Taniguchi2 Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
, Yosuke Yamada3 National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
https://orcid.org/0000-0002-4284-6317
Shinichiro Sawano4 Rehabilitation Units, Shiga University of Medical Science Hospital, Otsu, Japan
, Seigo Minani5 Faculty of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Japan
, Tsuyoshi Asai6 Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Japan
, Misaka Kimura7 Institute for Active Health, Kyoto University of Advanced Science, Kameoka, Japan;8 Graduate School of Nursing, Doshisha Women’s College of Liberal Arts, Kyotanabe, Japan
& Noriaki Ichihashi2 Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
https://orcid.org/0000-0003-2508-2172
Pages 1215-1222
|
Published online: 25 Jun 2021
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.