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McGrath R, Tomkinson GR, Andrew S, Batesole J, Carling C, Christensen BK, FitzSimmons S, Heimbuch H, Hoang T, Jurivich D, Kieser J, Knoll K, Lahr P, Langford M, Mastrud M, Orr M, Rhee Y, Hackney KJ. Framework for a short muscle function battery using electronic handgrip dynamometry and accelerometry in older adults. J Frailty Aging 2025; 14:100045. [PMID: 40252224 PMCID: PMC12120828 DOI: 10.1016/j.tjfa.2025.100045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2025] [Revised: 03/31/2025] [Accepted: 04/02/2025] [Indexed: 04/21/2025]
Abstract
BACKGROUND Electronic 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). OBJECTIVES We 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. DESIGN A cross-sectional design was used for this investigation. SETTING Laboratory. PARTICIPANTS The 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. RESULTS There 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. CONCLUSIONS Our 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.
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Affiliation(s)
- Ryan McGrath
- Healthy 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.
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition, and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Sarah Andrew
- Healthy 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 Batesole
- Healthy 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 Carling
- Healthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA
| | - Bryan K Christensen
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Samantha FitzSimmons
- Healthy 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 Heimbuch
- Healthy 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 Hoang
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Donald Jurivich
- Department of Geriatrics, University of North Dakota, Grand Forks, ND, USA
| | - Jacob Kieser
- Healthy 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 Knoll
- Healthy 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 Lahr
- Healthy 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 Langford
- Healthy 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 Mastrud
- Healthy Aging North Dakota (HAND), North Dakota State University, Fargo, ND, USA
| | - Megan Orr
- Department of Statistics, North Dakota State University, Fargo, ND, USA
| | - Yeong Rhee
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Kyle J Hackney
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
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Naugle E, Nelson M, Kilgas M, McGrath R, Klawitter L. Observing the Relationship Between Additional Measures of Handgrip Strength and the 6-Minute Push Test in Ambulatory Young Adults. INTERNATIONAL JOURNAL OF EXERCISE SCIENCE 2025; 18:170-181. [PMID: 39916771 PMCID: PMC11798548 DOI: 10.70252/mtmz3396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/09/2025]
Abstract
Manual wheelchair users have been shown to have low functional capacity and limited ability to perform activities of daily living. Conventional protocols for assessing physical attributes such as muscle function in this population have unique boundaries such as expensive testing equipment and procedures not specific to wheelchair propulsion. The measurement of muscle function using electronic handgrip dynamometry has shown promise in assessing additional characteristics beyond strength capacity alone. This study aimed to determine the correlations of electronic handgrip dynamometry derived strength, time to peak force generation, fatigability (22.40±10.12%), isometric control, and asymmetry with aerobic capacity in ambulatory young adults. We included 34 recreationally active ambulatory adults aged 23.76±3.57 years. Muscle function was assessed using electronic handgrip dynamometry. Aerobic capacity was examined using the six-minute wheelchair push test (1112.17±92.84ft). Fatigability (22.40±10.12%) showed a significant, near moderate negative correlation (r=-0.345, p<0.05) with push test outcomes, while the correlation with all other measures was not-significant. Our findings show that electronic handgrip dynamometry derived fatigability is related to aerobic capacity in those who use manual wheelchairs. Given the relationships shown in the current study, electronic handgrip dynamometry has promise for assessing functional health in persons with disabilities, which has particular relevance for SCI, and could be used in clinical practice and physical medicine and rehabilitation (PM&R) as a tool to examine functional capacity in applicable populations. However, future research is warranted to assess the concurrent validity of the additional measures of handgrip strength assessing muscle function.
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Affiliation(s)
- Eric Naugle
- School of Health and Human Performance, Northern Michigan University, Marquette, MI, USA
| | - Megan Nelson
- School of Health and Human Performance, Northern Michigan University, Marquette, MI, USA
| | - Matthew Kilgas
- School of Health and Human Performance, Northern Michigan University, Marquette, MI, USA
| | - Ryan McGrath
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Lukus Klawitter
- School of Health and Human Performance, Northern Michigan University, Marquette, MI, USA
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Assessing Additional Characteristics of Muscle Function With Digital Handgrip Dynamometry and Accelerometry: Framework for a Novel Handgrip Strength Protocol. J Am Med Dir Assoc 2021; 22:2313-2318. [PMID: 34166628 DOI: 10.1016/j.jamda.2021.05.033] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/06/2021] [Accepted: 05/22/2021] [Indexed: 12/18/2022]
Abstract
Maximal handgrip strength (HGS) is a convenient and reliable, but incomplete, assessment of muscle function. Although low HGS is a powerful predictor of poor health, several limitations to maximal HGS exist. The predictive value of HGS is restricted because low HGS is associated with a wide range of unspecified health conditions, and other characteristics of muscle function aside from strength capacity are not evaluated. Current HGS protocol guidelines emphasize the ascertainment of maximal force, which is only a single muscle function characteristic. Muscle function is intrinsically multivariable, and assessing other attributes in addition to strength capacity will improve screenings for age-related disabilities and diseases. Digital handgrip dynamometers and accelerometers provide unique opportunities to examine several aspects of muscle function beyond strength capacity, while also maintaining procedural ease. Specifically, digital handgrip dynamometry and accelerometry can assess the rate of force development, submaximal force steadiness, fatigability, and task-specific tremoring. Moreover, HGS protocols can be easily refined to include an examination of strength asymmetry and bilateral strength. Therefore, evaluating muscle function with new HGS technologies and protocols may provide a more comprehensive assessment of muscle function beyond maximal strength, without sacrificing feasibility. This Special Article introduces a novel framework for assessing multiple attributes of muscle function with digital handgrip dynamometry, accelerometry, and refinements to current HGS protocols. Such framework may aid in the discovery of measures that better predict and explain age-related disability, biological aging, and the effects of comorbid diseases that are amenable to interventions. These additional HGS measures may also contribute to our understanding of concepts such as resilience. Using sophisticated HGS technologies that are currently available and modernizing protocols for developing a new muscle function assessment may help transform clinical practice by enhancing screenings that will better identify the onset and progression of the disabling process.
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Klawitter L, Mahoney SJ, Dahl L, Hackney KJ, Herrmann SD, Edwards B, McGrath R. Evaluating Additional Aspects of Muscle Function with a Digital Handgrip Dynamometer and Accelerometer for Cognitive Functioning in Older Adults: A Pilot Study. J Alzheimers Dis Rep 2020; 4:495-499. [PMID: 33532697 PMCID: PMC7836018 DOI: 10.3233/adr-200225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Handgrip dynamometers are used to assess handgrip strength (HGS), and low HGS is linked to poor cognitive function. Although HGS is a reliable measure of muscle function, it is only measuring maximal grip force. Other aspects of muscle function such as force control, fatigability, and steadiness are unaccounted for in current HGS protocols. This pilot study sought to determine the role of maximal HGS, submaximal HGS force control, HGS fatigability, and HGS neuromuscular steadiness on cognitive function in older adults. Our findings indicate that these additional HGS measurements could factor into detecting poorer cognitive functioning, while also evolving HGS protocols.
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Affiliation(s)
- Lukus Klawitter
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Sean J Mahoney
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | - Lindsey Dahl
- Sanford Health, Fargo, ND, USA.,Department of Geriatrics, University of North Dakota, Grand Forks, ND, USA
| | - Kyle J Hackney
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
| | | | | | - Ryan McGrath
- Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA
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