Literature DB >> 31109465

Influences of gender, hand dominance, and anthropometric characteristics on different types of pinch strength: A partial least squares (PLS) approach.

Azam Maleki-Ghahfarokhi1, Iman Dianat2, Hossein Feizi3, Mohammad Asghari-Jafarabadi4.   

Abstract

The relationships of demographic and anthropometric characteristics (17 dimensions related to the hand, wrist, and arm) with four different pinch strengths (lateral pinch, key pinch, three-jaw chuck pinch and tip-to-tip pinch strengths) were evaluated among 196 (96 males and 100 females) young adults aged 19-30 years. For both dominant and non-dominant hands, the lateral pinch was greatest, followed by the key pinch, three-jaw chuck pinch and tip-to-tip pinch strengths. Mean pinch strengths of the dominant and non-dominant hands of females varied between 62%-78% and 61%-73% of those exerted by males, respectively. Strength of the dominant hand was 5.3%-7.5% stronger than of that of the non-dominant hand, with this difference being generally higher in females than in males. Hand length and forearm length showed the strongest correlation with all types of pinch strengths exerted by both the dominant and non-dominant hands. In the partial least squares analysis, 10 out of 17 anthropometric indices including hand length, forearm length, arm length, middle finger width, thumb length, index finger width, thumb width, wrist depth, palm depth and index finger depth had considerable loadings in the extracted component, explaining 37% of the total variance. These findings can fill the gap in the strength data, or used by health professionals and designers in the field.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anthropometry; Key pinch; Lateral pinch; Three-jaw chuck pinch; Tip-to-tip pinch

Mesh:

Year:  2019        PMID: 31109465     DOI: 10.1016/j.apergo.2019.04.002

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  7 in total

1.  Analysis of hand-forearm anthropometric components in assessing handgrip and pinch strengths of school-aged children and adolescents: a partial least squares (PLS) approach.

Authors:  Sajjad Rostamzadeh; Mahnaz Saremi; Shahram Vosoughi; Bruce Bradtmiller; Leila Janani; Ali Asghar Farshad; Fereshteh Taheri
Journal:  BMC Pediatr       Date:  2021-01-15       Impact factor: 2.125

2.  High proprioceptive acuity in slow and fast hand movements.

Authors:  Abby L Yoss; Bennett I Zuck; Joshua A Yem; Warren G Darling
Journal:  Exp Brain Res       Date:  2022-04-15       Impact factor: 1.972

3.  Hand anthropometry and its relation to grip/pinch strength in children aged 5 to 13 years.

Authors:  Juan Wen; Jing Wang; Qu Xu; Yan Wei; Lei Zhang; Jiaxin Ou; Qin Hong; Chenbo Ji; Xia Chi; Meiling Tong
Journal:  J Int Med Res       Date:  2020-12       Impact factor: 1.671

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.  Quantification of the Therapist's Gentle Pull for Pinch Strength Testing Based on FMA and MMT: An Experimental Study with Healthy Subjects.

Authors:  Abdallah Alsayed; Raja Kamil; Veronica Rowe; Mazatulfazura S F Salim; Hafiz R Ramli; Azizan As'arry
Journal:  Diagnostics (Basel)       Date:  2021-02-02

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.  Analysing the effect of gender on the human-machine interaction in level 3 automated vehicles.

Authors:  Shuo Li; Phil Blythe; Yanghanzi Zhang; Simon Edwards; Weihong Guo; Yanjie Ji; Paul Goodman; Graeme Hill; Anil Namdeo
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

  7 in total

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