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Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design

BACKGROUND: Pushing and pulling in workplaces are common actions. Repetitive forceful exertions in long-duration works lead to increased risk of musculoskeletal disorders and injuries. AIM: To investigate the upper extremity strength in generic push–pull modes while using hand tools and forecasting...

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Autores principales: Majumder, Joydeep, Kotadiya, Sanjay M., Sharma, Lokesh Kumar, Kumar, Sunil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309357/
https://www.ncbi.nlm.nih.gov/pubmed/30647515
http://dx.doi.org/10.4103/ijoem.IJOEM_123_18
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author Majumder, Joydeep
Kotadiya, Sanjay M.
Sharma, Lokesh Kumar
Kumar, Sunil
author_facet Majumder, Joydeep
Kotadiya, Sanjay M.
Sharma, Lokesh Kumar
Kumar, Sunil
author_sort Majumder, Joydeep
collection PubMed
description BACKGROUND: Pushing and pulling in workplaces are common actions. Repetitive forceful exertions in long-duration works lead to increased risk of musculoskeletal disorders and injuries. AIM: To investigate the upper extremity strength in generic push–pull modes while using hand tools and forecasting the limits of the workers while frequent or continuous operation. SETTINGS AND DESIGN: The study was conducted among men workers in Ahmedabad city, India, and the design was cross-sectional study. MATERIALS AND METHODS: In all, 100 men were recruited (Group 1: 18–39 years and Group 2: 40–60 years). Upper extremity muscular strength (isometric mode) testing of the preferred hand during push–pull type of manual hand-tool operations was carried out for 60 s. Forecasting of strength to generate predictions for future events (120 s) based on known past events (measured 60 s) was carried out using Holt–Winters time-series model. STATISTICAL ANALYSIS: Descriptive statistics was used for analysis. For prediction model evaluation, WEKA 3.8.2 was used. RESULTS: Anthropometric parameters of both groups were similar, having no effect on generated strength. Largely, pull strength was recorded to be higher than push strength, wherein Group 2 men generated slightly higher strength. Seated strength was also higher than standing exertion. Forecasting reveals steady strength values for Group 1 men, whereas steep decline among Group 2 men with increasing duration of trial. CONCLUSION: The strength data generated would aid in work schedule design. Strength forecasting model would assist in developing engineering guidelines in the design of tools at workplace.
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spelling pubmed-63093572019-01-15 Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design Majumder, Joydeep Kotadiya, Sanjay M. Sharma, Lokesh Kumar Kumar, Sunil Indian J Occup Environ Med Original Article BACKGROUND: Pushing and pulling in workplaces are common actions. Repetitive forceful exertions in long-duration works lead to increased risk of musculoskeletal disorders and injuries. AIM: To investigate the upper extremity strength in generic push–pull modes while using hand tools and forecasting the limits of the workers while frequent or continuous operation. SETTINGS AND DESIGN: The study was conducted among men workers in Ahmedabad city, India, and the design was cross-sectional study. MATERIALS AND METHODS: In all, 100 men were recruited (Group 1: 18–39 years and Group 2: 40–60 years). Upper extremity muscular strength (isometric mode) testing of the preferred hand during push–pull type of manual hand-tool operations was carried out for 60 s. Forecasting of strength to generate predictions for future events (120 s) based on known past events (measured 60 s) was carried out using Holt–Winters time-series model. STATISTICAL ANALYSIS: Descriptive statistics was used for analysis. For prediction model evaluation, WEKA 3.8.2 was used. RESULTS: Anthropometric parameters of both groups were similar, having no effect on generated strength. Largely, pull strength was recorded to be higher than push strength, wherein Group 2 men generated slightly higher strength. Seated strength was also higher than standing exertion. Forecasting reveals steady strength values for Group 1 men, whereas steep decline among Group 2 men with increasing duration of trial. CONCLUSION: The strength data generated would aid in work schedule design. Strength forecasting model would assist in developing engineering guidelines in the design of tools at workplace. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6309357/ /pubmed/30647515 http://dx.doi.org/10.4103/ijoem.IJOEM_123_18 Text en Copyright: © 2018 Indian Journal of Occupational and Environmental Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Majumder, Joydeep
Kotadiya, Sanjay M.
Sharma, Lokesh Kumar
Kumar, Sunil
Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title_full Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title_fullStr Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title_full_unstemmed Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title_short Upper Extremity Muscular Strength in Push–Pull Tasks: Model Approach Towards Task Design
title_sort upper extremity muscular strength in push–pull tasks: model approach towards task design
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309357/
https://www.ncbi.nlm.nih.gov/pubmed/30647515
http://dx.doi.org/10.4103/ijoem.IJOEM_123_18
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