Predicting maximal grip strength using hand circumference

Ke Li (1, 2) , David Hewson (1) , Jacques Duchene (1) , Jean-Yves Hogrel (3)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
2 Shandong University
3 Institut de Myologie

The objective of this study was to analyze the correlations between anthropometric data and maximal grip strength (MGS) in order to establish a simple model to predict “normal” MGS. Randomized bilateral measurement of MGS was performed on a homogeneous population of 100 subjects. MGS was measured according to a standardized protocol with three dynamometers (Jamar, Myogrip and Martin Vigorimeter) for both dominant and non-dominant sides. Several anthropometric data were also measured: height; weight; hand, wrist and forearm circumference; hand and palm length. Among these data, hand circumference had the strongest correlation with MGS for all three dynamometers and for both hands (0.789 and 0.782 for Jamar; 0.829 and 0.824 for Myogrip; 0.663 and 0.730 for Vigorimeter). In addition, the only anthropometric variable systematically selected by a stepwise multiple linear regression analysis was also hand circumference. Based on this parameter alone, a predictive regression model presented good results (r² = 0.624 for Jamar; r² = 0.683 for Myogrip and r² = 0.473 for Vigorimeter; all adjusted r²). Moreover a single equation was predictive of MGS for both men and women and for both non-dominant and dominant hands. “Normal” MGS can be predicted using hand circumference alone.

Domains: Bioengineering

Ke Li, David Hewson, Jacques Duchene, Jean-Yves Hogrel. Predicting maximal grip strength using hand circumference. Manual Therapy, 2010, 15 (6), pp.579-585. ⟨10.1016/j.math.2010.06.010⟩. ⟨hal-02358790⟩