Using Electronic Handgrip Dynamometry To Determine Human Performance In Master’S Aged Cyclists And Triathletes

Endurance training throughout adulthood is an important part of preventing physical declines. The master’s athlete typically manages work, family, and social life on top of their personal training. Electronic handgrip dynamometry is a simple non-fatiguing proxy to assess overall muscle strength and function. PURPOSE: This study sought to examine the correlations of maximal handgrip strength (HGS), rate of HGS force development, and HGS fatigability on lean body mass, peak power, functional threshold power, and aerobic capacity in master’s aged cyclists and triathletes. METHODS: A cross-sectional design was utilized and the analytic sample included n = 31 master’s aged cyclists and triathletes (age: 49.1 ± 10.4 years). Achievement motivation was self-reported with a Situational Motivation Scale Questionnaire. A stationary bicycle trainer and metabolic cart was used to evaluate peak power and aerobic capacity with standardized protocols. Whole body bioelectrical impedance measured lean body mass. An electronic handgrip dynamometer examined maximal HGS, rate of HGS force development, and HGS fatigability. RESULTS: Maximal HGS (34.2 ± 10.6 kg) was moderately correlated with peak power (5.7 ± 2.2 w/kg) (r = 0.46; p < 0.01), lean body mass (63.2 ± 13.4 kg) was moderately correlated with peak power (r = 0.48; p < 0.01) and negligibly correlated with aerobic capacity (43.6 ± 9.1 ml/kg/min) (r = 0.37; p = 0.04). Rate of HGS force development (73.9 ± 39.7 kg/s) was also moderately correlated with peak power (r = 0.36; p = 0.04). Maximal HGS was moderately correlated with rate of HGS force development (r = 0.63; p < 0.01). Moreover, after ranking the measures, maximal HGS was moderately correlated with peak power (r = 0.40; p = 0.02) and lean body mass was moderately correlated with peak power (r = 0.50; p < 0.01). CONCLUSIONS: This study suggests that maximal HGS and rate of HGS force development share a signal with peak power in master’s aged cyclists and triathletes. Further, increased lean body mass is related to greater peak power. Maximal HGS and rate of HGS force development show promise for being utilized in a single protocol as a correlate for peak power when exhaustive testing is not possible, and maintaining lean mass is also advised for human performance in older endurance athletes.

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Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001054380.04128.74
Primary Topic
Sports Performance and Training
Type
article
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article

Using Electronic Handgrip Dynamometry To Determine Human Performance In Master’S Aged Cyclists And Triathletes

Ryan McGrath, Lukus Klawitter, Jeremy M. Hamm, Kyle J. Hackney et al.
Medicine & Science in Sports & Exercise
Sports Performance and Training
article

Using Electronic Handgrip Dynamometry To Determine Human Performance In Master’S Aged Cyclists And Triathletes

Ryan McGrath, Lukus Klawitter, Jeremy M. Hamm, Kyle J. Hackney, Bryan Christensen, Matt Hanson
article en

Abstract

Endurance training throughout adulthood is an important part of preventing physical declines. The master’s athlete typically manages work, family, and social life on top of their personal training. Electronic handgrip dynamometry is a simple non-fatiguing proxy to assess overall muscle strength and function. PURPOSE: This study sought to examine the correlations of maximal handgrip strength (HGS), rate of HGS force development, and HGS fatigability on lean body mass, peak power, functional threshold power, and aerobic capacity in master’s aged cyclists and triathletes. METHODS: A cross-sectional design was utilized and the analytic sample included n = 31 master’s aged cyclists and triathletes (age: 49.1 ± 10.4 years). Achievement motivation was self-reported with a Situational Motivation Scale Questionnaire. A stationary bicycle trainer and metabolic cart was used to evaluate peak power and aerobic capacity with standardized protocols. Whole body bioelectrical impedance measured lean body mass. An electronic handgrip dynamometer examined maximal HGS, rate of HGS force development, and HGS fatigability. RESULTS: Maximal HGS (34.2 ± 10.6 kg) was moderately correlated with peak power (5.7 ± 2.2 w/kg) (r = 0.46; p < 0.01), lean body mass (63.2 ± 13.4 kg) was moderately correlated with peak power (r = 0.48; p < 0.01) and negligibly correlated with aerobic capacity (43.6 ± 9.1 ml/kg/min) (r = 0.37; p = 0.04). Rate of HGS force development (73.9 ± 39.7 kg/s) was also moderately correlated with peak power (r = 0.36; p = 0.04). Maximal HGS was moderately correlated with rate of HGS force development (r = 0.63; p < 0.01). Moreover, after ranking the measures, maximal HGS was moderately correlated with peak power (r = 0.40; p = 0.02) and lean body mass was moderately correlated with peak power (r = 0.50; p < 0.01). CONCLUSIONS: This study suggests that maximal HGS and rate of HGS force development share a signal with peak power in master’s aged cyclists and triathletes. Further, increased lean body mass is related to greater peak power. Maximal HGS and rate of HGS force development show promise for being utilized in a single protocol as a correlate for peak power when exhaustive testing is not possible, and maintaining lean mass is also advised for human performance in older endurance athletes.

Medicine & Science in Sports & ExerciseVol. 56(10S)
Northern Michigan University (US), North Dakota State University (US)
Openalex Percentile: Top 79%
Sports Performance and Training
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