Effects of Age and Gender on Hand Motion Tasks

Objective. Wearable and wireless motion sensor devices have facilitated the automated computation of speed, amplitude, and rhythm of hand motion tasks. The aim of this study is to determine if there are any biological influences on these kinematic parameters. Methods. 80 healthy subjects performed h...

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Main Authors: Wing Lok Au, Irene Soo Hoon Seah, Wei Li, Louis Chew Seng Tan
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Parkinson's Disease
Online Access:http://dx.doi.org/10.1155/2015/862427
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author Wing Lok Au
Irene Soo Hoon Seah
Wei Li
Louis Chew Seng Tan
author_facet Wing Lok Au
Irene Soo Hoon Seah
Wei Li
Louis Chew Seng Tan
author_sort Wing Lok Au
collection DOAJ
description Objective. Wearable and wireless motion sensor devices have facilitated the automated computation of speed, amplitude, and rhythm of hand motion tasks. The aim of this study is to determine if there are any biological influences on these kinematic parameters. Methods. 80 healthy subjects performed hand motion tasks twice for each hand, with movements measured using a wireless motion sensor device (Kinesia, Cleveland Medical Devices Inc., Cleveland, OH). Multivariate analyses were performed with age, gender, and height added into the model. Results. Older subjects performed poorer in finger tapping (FT) speed (r=0.593, p<0.001), hand-grasp (HG) speed (r=0.517, p<0.001), and pronation-supination (PS) speed (r=0.485, p<0.001). Men performed better in FT rhythm p<0.02, HG speed p<0.02, HG amplitude p<0.02, and HG rhythm p<0.05. Taller subjects performed better in the speed and amplitude components of FT p<0.02 and HG tasks p<0.02. After multivariate analyses, only age and gender emerged as significant independent factors influencing the speed but not the amplitude and rhythm components of hand motion tasks. Gender exerted an independent influence only on HG speed, with better performance in men p<0.05. Conclusions. Age, gender, and height are not independent factors influencing the amplitude and rhythm components of hand motion tasks. The speed component is affected by age and gender differences.
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spelling doaj-art-d7f5ee6664ee4c29a6da314c5004ef6c2025-02-03T01:23:21ZengWileyParkinson's Disease2090-80832042-00802015-01-01201510.1155/2015/862427862427Effects of Age and Gender on Hand Motion TasksWing Lok Au0Irene Soo Hoon Seah1Wei Li2Louis Chew Seng Tan3Department of Neurology, National Neuroscience Institute, 308433, SingaporeDepartment of Neurology, National Neuroscience Institute, 308433, SingaporeDepartment of Neurology, National Neuroscience Institute, 308433, SingaporeDepartment of Neurology, National Neuroscience Institute, 308433, SingaporeObjective. Wearable and wireless motion sensor devices have facilitated the automated computation of speed, amplitude, and rhythm of hand motion tasks. The aim of this study is to determine if there are any biological influences on these kinematic parameters. Methods. 80 healthy subjects performed hand motion tasks twice for each hand, with movements measured using a wireless motion sensor device (Kinesia, Cleveland Medical Devices Inc., Cleveland, OH). Multivariate analyses were performed with age, gender, and height added into the model. Results. Older subjects performed poorer in finger tapping (FT) speed (r=0.593, p<0.001), hand-grasp (HG) speed (r=0.517, p<0.001), and pronation-supination (PS) speed (r=0.485, p<0.001). Men performed better in FT rhythm p<0.02, HG speed p<0.02, HG amplitude p<0.02, and HG rhythm p<0.05. Taller subjects performed better in the speed and amplitude components of FT p<0.02 and HG tasks p<0.02. After multivariate analyses, only age and gender emerged as significant independent factors influencing the speed but not the amplitude and rhythm components of hand motion tasks. Gender exerted an independent influence only on HG speed, with better performance in men p<0.05. Conclusions. Age, gender, and height are not independent factors influencing the amplitude and rhythm components of hand motion tasks. The speed component is affected by age and gender differences.http://dx.doi.org/10.1155/2015/862427
spellingShingle Wing Lok Au
Irene Soo Hoon Seah
Wei Li
Louis Chew Seng Tan
Effects of Age and Gender on Hand Motion Tasks
Parkinson's Disease
title Effects of Age and Gender on Hand Motion Tasks
title_full Effects of Age and Gender on Hand Motion Tasks
title_fullStr Effects of Age and Gender on Hand Motion Tasks
title_full_unstemmed Effects of Age and Gender on Hand Motion Tasks
title_short Effects of Age and Gender on Hand Motion Tasks
title_sort effects of age and gender on hand motion tasks
url http://dx.doi.org/10.1155/2015/862427
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