Predicting maximal grip strength using hand circumference

Autor: David J. Hewson, Jacques Duchêne, Ke Li, Jean-Yves Hogrel
Přispěvatelé: Laboratoire Modélisation et Sûreté des Systèmes (LM2S), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Shandong University, Institut de Myologie, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Association française contre les myopathies (AFM-Téléthon)-Sorbonne Université (SU)
Rok vydání: 2009
Předmět:
Zdroj: Manual Therapy
Manual Therapy, 2010, 15 (6), pp.579-585. ⟨10.1016/j.math.2010.06.010⟩
Manual Therapy, Elsevier, 2010, 15 (6), pp.579-585. ⟨10.1016/j.math.2010.06.010⟩
ISSN: 1532-2769
1356-689X
DOI: 10.1016/j.math.2010.06.010⟩
Popis: International audience; 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.
Databáze: OpenAIRE
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