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Intraday and Interday Reliability of Maximal and Explosive Handgrip Force-Time Metrics Using the Kinvent K-Grip Handheld Dynamometer

Curovic, Ivan orcid iconORCID: 0000-0003-1340-9393, Markovic, Milan, Toskic, Lazar, Alexander, Jill orcid iconORCID: 0000-0002-6492-1621 and Harper, Damian orcid iconORCID: 0000-0002-5430-1541 (2026) Intraday and Interday Reliability of Maximal and Explosive Handgrip Force-Time Metrics Using the Kinvent K-Grip Handheld Dynamometer. Muscles, 5 (2). p. 24.

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Official URL: https://doi.org/10.3390/muscles5020024

Abstract

(1) Background: Handgrip strength (HGS) is a widely used indicator of neuromuscular function, with predictive values for health and performance outcomes. The aim of this study was to evaluate the intraday and interday reliability of maximal and explosive handgrip force–time metrics using the Kinvent K-Grip handheld dynamometer. (2) Methods: Thirty-four participants performed three maximal voluntary isometric contractions per hand across two testing days. Force–time data were analysed for peak force (PF), mean force (MF), peak rate of force development (RFD), time-specific RFD, impulse, and forces at fixed time points. Reliability was assessed using intraclass correlation coefficients (ICCs), standard error of measurement (SEM), minimal detectable change (MDC), and coefficient of variation (CV%). (3) Results: The device demonstrated excellent relative and absolute reliability for PF and MF across both days (ICC > 0.97; CV < 6%; MDC ≈ 5 kg). Later-phase explosive metrics (F250 and Imp200) showed good-to-excellent relative reliability (ICC = 0.88-0.99; CV = 4–14%), although with variable absolute reliability (MDC F250 ≈ 4–8 kg, MDC Imp200 ≈ 1 kg·s). For early-phase metrics, relative reliability was only moderate to good (ICC = 0.67–0.88) and characterised by a high degree of variability (CV = 15–22%). (4) Conclusions: The K-Grip handheld dynamometer is a reliable tool for cross-sectional assessments and for tracking larger maximal strength and later-phase force improvements at fixed time points. Early-phase explosive metrics are less suitable for monitoring intervention effects due to high measurement error and fatigue sensitivity.


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