Evidence map›Paper›PMID 40252224›Full record

ArticleThe Journal of frailty & aging2025

Framework for a short muscle function battery using electronic handgrip dynamometry and accelerometry in older adults.

Ryan McGrath, Grant R Tomkinson, Sarah Andrew, Joshua Batesole, Chloe Carling, Bryan K Christensen, Samantha FitzSimmons, Halli Heimbuch, Tyler Hoang, Donald Jurivich and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of frailty & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Ryan McGrathHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA,; Department of Geriatrics, University of North Dakota, Grand Forks, ND, USA; Alliance for Research in Exercise, Nutrition, and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia; Fargo VA Healthcare System, Fargo, ND, USA. Electronic address: ryan.mcgrath@ndsu.edu.
Grant R TomkinsonAlliance for Research in Exercise, Nutrition, and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Sarah AndrewHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Joshua BatesoleHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Chloe CarlingHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA.
Bryan K ChristensenDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Samantha FitzSimmonsHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Halli HeimbuchHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Tyler HoangDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Donald JurivichDepartment of Geriatrics, University of North Dakota, Grand Forks, ND, USA.
Jacob KieserHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Kelly KnollHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Peyton LahrHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Matthew LangfordHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA; Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Michaela MastrudHealthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA.
Megan OrrDepartment of Statistics, North Dakota State University, Fargo, ND, USA.
Yeong RheeDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Kyle J HackneyDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.

Funding

GRip Assessment for Protocol Enhancements (GRAPE) in Older AdultsR15AG072348 · NIA · NORTH DAKOTA STATE UNIVERSITY · PI MCGRATH, RYAN · 2022 to 2025
$838k
NIA NIH HHS R15 AG072348
6 · The paper itself

Abstract

backgroundElectronic handgrip dynamometry and accelerometry enables novel opportunities to collect additional attributes of muscle function beyond just maximal strength, but some muscle function attributes may already be related, which may warrant discerning these attributes into a short muscle function battery (SMFB).

objectivesWe sought to determine the multivariate relationships between maximal strength, asymmetry, submaximal control, rate of force development, bimanual coordination, fatigability, and contractile steadiness in older adults.

designA cross-sectional design was used for this investigation.

settingLaboratory.

participantsThe analytic sample included 121 generally healthy older adults aged 70.7 ± 4.7 years. MEASUREMENTS: Electronic handgrip dynamometry and accelerometry measured strength, asymmetry, submaximal control, rate of force development, bimanual coordination, fatigability, and contractile steadiness. The handgrip variables were standardized before they were included in a factor analysis. Factors with eigenvalues >1.0 were kept. Items within a factor with a loading |>0.30| were similarly retained.

resultsThere were 3 factors retained with eigenvalues of 1.88, 1.56, and 1.10. The first factor (functional strength), which explained 39.9 % of the variance, included strength, submaximal control, and rate of force development. Factor 2 (lateral function), which explained 35.8 % of the variance, included asymmetry and bimanual coordination. The third factor (muscle endurance), which explained 24.3 % of the variance, included fatigability and contractile steadiness.

conclusionsOur findings suggest the surfacing of themes in the additional muscle function measures, thereby providing framework for a SMFB. More research is needed for electronic handgrip dynamometry and accelerometry derived muscle function on health before consideration of implementation in clinical practice.

Indexed as

AccelerometryGeriatric AssessmentHand StrengthMuscle, SkeletalMuscle Strength DynamometerAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMuscle FatigueMuscle StrengthAgingGeriatricsMuscle strengthMuscle strength dynamometerMuscle Weakness

Identifiers

PMID40252224
PMCPMC12120828

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.