Can We Use Grip Strength to Predict Other Types of Hand Exertions? An Example of Manufacturing Industry Workers

• Published in: International journal of environmental research and public health Vol. 18; no. 3; p. 856
• Main Authors: Lo, Victor Ei-Wen, Chiu, Yi-Chen, Tu, Hsin-Hung
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 20.01.2021; MDPI
• Subjects: Age; Biometrics; Body mass index; Demographic variables; Fingers & toes; Gender; Grip strength; Hand; Hand Strength; Humans; Manufacturing; Manufacturing Industry; Medical research; Metal fatigue; Motivation; Muscle fatigue; Muscle strength; Older people; Physical Exertion; Physical therapists; Prediction models; Stainless steel; Taiwan; Taiwan; United Kingdom > UK; United States > US; grip; thumb press; palmar pinch; prediction model; strength; lateral pinch; ball of thumb; manufacturing
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph18030856

There are different types of hand motions in people's daily lives and working environments. However, testing duration increases as the types of hand motions increase to build a normative database. Long testing duration decreases the motivation of study participants. The purpose of this study is to propose models to predict pinch and press strength using grip strength. One hundred ninety-eight healthy volunteers were recruited from the manufacturing industries in Central Taiwan. The five types of hand motions were grip, lateral pinch, palmar pinch, thumb press, and ball of thumb press. Stepwise multiple linear regression was used to explore the relationship between force type, gender, height, weight, age, and muscle strength. The prediction models developed according to the variable of the strength of the opposite hand are good for explaining variance (76.9-93.1%). Gender is the key demographic variable in the predicting models. Grip strength is not a good predictor of palmar pinch (adjusted- : 0.572-0.609), nor of thumb press and ball of thumb (adjusted- : 0.279-0.443). We recommend measuring the palmar pinch and ball of thumb strength and using them to predict the other two hand motions for convenience and time saving.