Literature DB >> 21816889

Multiple regression analysis of factors influencing dominant hand grip strength in an adult Malaysian population.

M G Hossain1, R Zyroul, B P Pereira, T Kamarul.   

Abstract

Grip strength is an important measure used to monitor the progression of a condition, and to evaluate outcomes of treatment. We assessed how various physical and social factors predict normal grip strength in an adult Malaysian population of mixed Asian ethnicity (254 men, 246 women). Grip strength was recorded using the Jamar dynamometer. The mean grip strength for the dominant hand was 29.8 kg for men and 17.6 kg for women. Multiple regression analysis demonstrated that the dominant hand grip strength was positively associated with height and body mass index, and negatively associated with age for both sexes. Dominant hand grip strength was related to work status for men (p < 0.05) but not for women. However, there was no difference in grip strength among ethnic groups.

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Year:  2011        PMID: 21816889     DOI: 10.1177/1753193411414639

Source DB:  PubMed          Journal:  J Hand Surg Eur Vol        ISSN: 0266-7681


  8 in total

1.  Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis.

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Journal:  J Physiol Anthropol       Date:  2022-06-04       Impact factor: 2.509

2.  Hand-grip strength among older adults in Singapore: a comparison with international norms and associative factors.

Authors:  Hui Lin Ong; Edimansyah Abdin; Boon Yiang Chua; Yunjue Zhang; Esmond Seow; Janhavi Ajit Vaingankar; Siow Ann Chong; Mythily Subramaniam
Journal:  BMC Geriatr       Date:  2017-08-04       Impact factor: 3.921

3.  Normative Data for Handgrip Strength in Saudi Older Adults Visiting Primary Health Care Centers.

Authors:  Saad M Bindawas; Vishal Vennu; Saada M Al-Orf; Sulaiman A Alshammari; Maysoon M Al-Amoud; Philip C Calder; May N Al-Muammar; Adel A Alhamdan
Journal:  Medicina (Kaunas)       Date:  2019-06-06       Impact factor: 2.430

4.  Normative Hand Strength of Healthcare Industry Workers in Central Taiwan.

Authors:  Victor Ei-Wen Lo; Shu-Min Chao; Hsin-Hung Tu
Journal:  Int J Environ Res Public Health       Date:  2020-12-29       Impact factor: 3.390

5.  A deep learning-based method for grip strength prediction: Comparison of multilayer perceptron and polynomial regression approaches.

Authors:  Jaejin Hwang; Jinwon Lee; Kyung-Sun Lee
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

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

Authors:  Victor Ei-Wen Lo; Yi-Chen Chiu; Hsin-Hung Tu
Journal:  Int J Environ Res Public Health       Date:  2021-01-20       Impact factor: 3.390

7.  Investigation into the Effects of Backrest Angle and Stick Location on Female Strength.

Authors:  Victor Ei-Wen Lo; Shu-Min Chao
Journal:  Int J Environ Res Public Health       Date:  2021-12-21       Impact factor: 3.390

8.  Evaluation of factors influencing grip strength in elderly koreans.

Authors:  Jung Eun Lee; Ki Woong Kim; Nam-Jong Paik; Hak Chul Jang; Chong Bum Chang; Goo Hyun Baek; Young Ho Lee; Hyun Sik Gong
Journal:  J Bone Metab       Date:  2012-11-16
  8 in total

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