Evidence map›Paper›PMID 41819778›Full record

ArticleThe journal of nutrition, health & aging2026

Advancing sarcopenia assessment with wearable and app-based technology: a scoping review.

Ayush Mehra, Justo Perez, Jessica L Krok-Schoen, Roberto M Benzo, Colleen K Spees, Shang-Jui Wang, Steven K Clinton, Stefan A Czerwinski, Brett S Nickerson

Abstract readScoping Review
In one paragraph

Article in The journal of nutrition, health & aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ayush MehraCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America.
Justo PerezCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America.
Jessica L Krok-SchoenCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America; Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
Roberto M BenzoOhio State University Comprehensive Cancer Center, Columbus, OH, United States of America; Department of Internal Medicine, Division of Cancer Prevention and Control, The Ohio State University, Columbus, OH, United States of America.
Colleen K SpeesCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America; Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
Shang-Jui WangCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America; Department of Radiation Oncology, The Ohio State University, Columbus, OH, United States of America.
Steven K ClintonOhio State University Comprehensive Cancer Center, Columbus, OH, United States of America; Department of Internal Medicine, Division of Medical Oncology, The Ohio State University, Columbus, OH, United States of America.
Stefan A CzerwinskiCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America.
Brett S NickersonCollege of Medicine, The Ohio State University, Columbus, OH, United States of America; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States of America; Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America. Electronic address: brett.nickerson@osumc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia, a condition characterized by loss of skeletal muscle mass (SMM) and strength, contributes to frailty, disability, and increased healthcare burden, yet remains underdiagnosed due to limitations of conventional assessment methods. Wearable and mobile technologies have emerged as potential tools for SMM evaluation, offering the advantages of portability, low participant burden, and the ability to monitor dynamic changes over time. This scoping review aims to evaluate the current scientific and clinical evidence on wearable and mobile technologies for SMM assessment and to examine their potential application for sarcopenia evaluation in home and non-research clinical settings. Literature searches were conducted across PubMed, Scopus, and Google Scholar in accordance with PRISMA-ScR guidelines. Inclusion criteria comprised original studies reporting SMM as a primary outcome using wearable devices or smartphone-based applications. Review articles and studies without original SMM data were excluded. A total of six studies were included, consisting of three wearable-based investigations and three smartphone application-based studies. Included studies primarily examined apparently healthy or physically active adults, with one study including individuals with type 1 diabetes and overweight or obesity. Sample sizes ranged from 53 to 568 participants, comprising a total of 1,235 individuals across all studies. Overall, studies demonstrated that consumer-grade wearable and smartphone technologies had constant error values (i.e., mean differences) ranging from -0.01 to 4.3 kg, correlation coefficients >0.80, and 95% limits of agreement <±4.0 kg. Criterion measures for comparisons included dual energy X-ray absorptiometry and clinical-grade bioimpedance analysis devices. Altogether, wearable and mobile technologies show emerging potential as accessible tools for SMM assessment and sarcopenia-related monitoring. However, limited study volume, restricted clinical validation, and methodological heterogeneity currently constrain clinical adoption of digital SMM tools, which should be considered adjunctive monitoring instruments rather than diagnostic replacements until rigorously validated across diverse populations.

Indexed as

Mobile ApplicationsSarcopeniaWearable Electronic DevicesDigital HealthHumansMuscle, SkeletalSmartphoneBIABody compositionSkeletal muscle massTechnologyWearables

Identifiers

PMID41819778
PMCPMC12994015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.