Predicting grip strength and key pinch using anthropometric data, DASH questionnaire and wrist range of motion

• Titel: Predicting grip strength and key pinch using anthropometric data, DASH questionnaire and wrist range of motion
• Mitwirkende: Klum, Matthias Peter [VerfasserIn]
• Mitwirkende: Wolf, Maya Barbara [VerfasserIn]
• Mitwirkende: Bruckner, Thomas [VerfasserIn]
• Mitwirkende: Unglaub, Frank [VerfasserIn]
• Verf.angabe: Matthias Klum, Maya B. Wolf, Peter Hahn, Franck M. Leclère, Thomas Bruckner, Frank Unglaub
• E-Jahr: 2012
• Jahr: December 2012
• Umfang: 5 S.
• Fussnoten: Gesehen am 30.10.2018
• Titel Quelle: Enthalten in: Archives of orthopaedic and trauma surgery
• Ort Quelle: Berlin : Springer, 1903
• Jahr Quelle: 2012
• Band/Heft Quelle: 132(2012), 12, Seite 1807-1811
• ISSN Quelle: 1434-3916
• DOI: doi:10.1007/s00402-012-1602-8
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Predicting grip strength and key pinch using anthropometric data, DASH questionnaire and wrist range of motion. - 2012
• Sach-SW: Anthropometric data
• Sach-SW: DASH
• Sach-SW: Grip strength
• Sach-SW: Key pinch
• Sach-SW: Range of motion (ROM)
• K10plus-PPN: 1582406642

Abstract

PurposeThe objective of this study was to examine the influence of anthropometric data, occupational manual strain, DASH (disability of arm, shoulder and hand) score and range of motion (ROM) on grip strength and key pinch. An additional goal was to develop models that enable the prediction of hand strength using the aforementioned parameters.MethodsNormative data generated from a healthy working population (n = 750) served as basis for the statistical analysis. Prediction models for hand strength were developed using multivariate regression analysis.ResultsGender, body weight and height, BMI and extension ROM correlate positively, age and DASH score, however, correlate negatively with grip strength and key pinch. Occupational manual strain has no influence on hand strength. The predictive power of the developed models was 68.4 % for grip strength and 57.1 % for key pinch.ConclusionsThe developed models enable the prediction of hand strength using easily obtainable data points. The models will have application in clinical practice, physiological studies, medical evidence and rehab decisions.