Literature DB >> 24766903

The assessment of material handling strategies in dealing with sudden loading: the effects of load handling position on trunk biomechanics.

Xiaopeng Ning1, Jie Zhou2, Boyi Dai3, Majid Jaridi4.   

Abstract

Back injury caused by sudden loading is a significant risk among workers that perform manual handling tasks. The present study investigated the effects of load handling position on trunk biomechanics (flexion angle, L5/S1 joint moment and compression force) during sudden loading. Eleven subjects were exposed to a 6.8 kg sudden loading while standing upright, facing forward and holding load at three different vertical heights in the sagittal plane or 45° left to the sagittal plane (created by arm rotation). Results showed that the increase of load holding height significantly elevated the peak L5/S1 joint compression force and reduced the magnitude of trunk flexion. Further, experiencing sudden loading from an asymmetric direction resulted in significantly smaller peak L5/S1 joint compression force, trunk flexion angle and L5/S1 joint moment than a symmetric posture. These findings suggest that handling loads in a lower position could work as a protective strategy during sudden loading.
Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Back injury; Load handling position; Sudden loading

Mesh:

Year:  2014        PMID: 24766903     DOI: 10.1016/j.apergo.2014.03.008

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


  5 in total

1.  Effects of the weight configuration of hand load on trunk musculature during static weight holding.

Authors:  Saman Madinei; Xiaopeng Ning
Journal:  Ergonomics       Date:  2017-10-09       Impact factor: 2.778

2.  The effect of diaphragm training on lumbar stabilizer muscles: a new concept for improving segmental stability in the case of low back pain.

Authors:  Regina Finta; Edit Nagy; Tamás Bender
Journal:  J Pain Res       Date:  2018-11-28       Impact factor: 3.133

3.  Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach.

Authors:  Ilaria Conforti; Ilaria Mileti; Zaccaria Del Prete; Eduardo Palermo
Journal:  Sensors (Basel)       Date:  2020-03-11       Impact factor: 3.576

4.  Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the Workspace.

Authors:  Chunxi Huang; Woojoo Kim; Yanxin Zhang; Shuping Xiong
Journal:  Int J Environ Res Public Health       Date:  2020-08-20       Impact factor: 3.390

5.  Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling.

Authors:  Antoine Muller; Hakim Mecheri; Philippe Corbeil; André Plamondon; Xavier Robert-Lachaine
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

  5 in total

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