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An Evidence-Based Multidisciplinary Practice Guideline to Reduce the Workload due to Lifting for Preventing Work-Related Low Back Pain
P Paul FM Kuijer, Jos HAM Verbeek, Bart Visser, Leo AM Elders, Nico Van Roden, Marion ER Van den Wittenboer, Marian Lebbink, Alex Burdorf, Carel TJ Hulshof
Ann Occup Environ Med 2014;26:16-16.   Published online June 24, 2014
DOI: https://doi.org/10.1186/2052-4374-26-16
AbstractAbstract PDFPubReaderePub

We developed an evidence-based practice guideline to support occupational safety and health (OSH) professionals in assessing the risk due to lifting and in selecting effective preventive measures for low back pain (LBP) in the Netherlands. The guideline was developed at the request of the Dutch government by a project team of experts and OSH professionals in lifting and work-related LBP. The recommendations for risk assessment were based on the quality of instruments to assess the risk on LBP due to lifting. Recommendations for interventions were based on a systematic review of the effects of worker- and work directed interventions to reduce back load due to lifting. The quality of the evidence was rated as strong (A), moderate (B), limited (C) or based on consensus (D). Finally, eight experts and twenty-four OSH professionals commented on and evaluated the content and the feasibility of the preliminary guideline. For risk assessment we recommend loads heavier than 25 kg always to be considered a risk for LBP while loads less than 3 kg do not pose a risk. For loads between 3–25 kg, risk assessment shall be performed using the Manual handling Assessment Charts (MAC)-Tool or National Institute for Occupational Safety and Health (NIOSH) lifting equation. Effective work oriented interventions are patient lifting devices (Level A) and lifting devices for goods (Level C), optimizing working height (Level A) and reducing load mass (Level C). Ineffective work oriented preventive measures are regulations to ban lifting without proper alternatives (Level D). We do not recommend worker-oriented interventions but consider personal lift assist devices as promising (Level C). Ineffective worker-oriented preventive measures are training in lifting technique (Level A), use of back-belts (Level A) and pre-employment medical examinations (Level A). This multidisciplinary evidence-based practice guideline gives clear criteria whether an employee is at risk for LBP while lifting and provides an easy-reference for (in)effective risk reduction measures based on scientific evidence, experience, and consensus among OSH experts and practitioners.


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Research Article
Automation of Workplace Lifting Hazard Assessment for Musculoskeletal Injury Prevention
June T Spector, Max Lieblich, Stephen Bao, Kevin McQuade, Margaret Hughes
Ann Occup Environ Med 2014;26:15-15.   Published online June 24, 2014
DOI: https://doi.org/10.1186/2052-4374-26-15
AbstractAbstract PDFPubReaderePub
Objectives

Existing methods for practically evaluating musculoskeletal exposures such as posture and repetition in workplace settings have limitations. We aimed to automate the estimation of parameters in the revised United States National Institute for Occupational Safety and Health (NIOSH) lifting equation, a standard manual observational tool used to evaluate back injury risk related to lifting in workplace settings, using depth camera (Microsoft Kinect) and skeleton algorithm technology.

Methods

A large dataset (approximately 22,000 frames, derived from six subjects) of simultaneous lifting and other motions recorded in a laboratory setting using the Kinect (Microsoft Corporation, Redmond, Washington, United States) and a standard optical motion capture system (Qualysis, Qualysis Motion Capture Systems, Qualysis AB, Sweden) was assembled. Error-correction regression models were developed to improve the accuracy of NIOSH lifting equation parameters estimated from the Kinect skeleton. Kinect-Qualysis errors were modelled using gradient boosted regression trees with a Huber loss function. Models were trained on data from all but one subject and tested on the excluded subject. Finally, models were tested on three lifting trials performed by subjects not involved in the generation of the model-building dataset.

Results

Error-correction appears to produce estimates for NIOSH lifting equation parameters that are more accurate than those derived from the Microsoft Kinect algorithm alone. Our error-correction models substantially decreased the variance of parameter errors. In general, the Kinect underestimated parameters, and modelling reduced this bias, particularly for more biased estimates. Use of the raw Kinect skeleton model tended to result in falsely high safe recommended weight limits of loads, whereas error-corrected models gave more conservative, protective estimates.

Conclusions

Our results suggest that it may be possible to produce reasonable estimates of posture and temporal elements of tasks such as task frequency in an automated fashion, although these findings should be confirmed in a larger study. Further work is needed to incorporate force assessments and address workplace feasibility challenges. We anticipate that this approach could ultimately be used to perform large-scale musculoskeletal exposure assessment not only for research but also to provide real-time feedback to workers and employers during work method improvement activities and employee training.


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Close layer
Original Article
Effects of Back-belt on Electromyographic Activities and Angle of Lower Back and Extremity during Lifting
Min Hee Kim, Jung Ah Lee, Do Young Jung, Min Ye Jung
Korean Journal of Occupational and Environmental Medicine 2005;17(4):259-266.   Published online December 31, 2005
DOI: https://doi.org/10.35371/kjoem.2005.17.4.259
AbstractAbstract PDF
OBJECTIVES
The purpose of this study was to examine the electromyographic activities of the erector spinae muscle of the back and the rectus femoris muscle of the thigh, and to measure the angles of the spinal and knee flexions in order to determine the effect of wearing a back belt.
METHODS
Fifteen healthy males participated in the study. Surface electromyography was used to measure the level of muscle activities at the two muscle groups. The Simi system, utilizing two-dimensional analysis of movement, was used to examine the range of motion of the back and low extremity.
RESULTS
Firstly, the angle of the spinal flexion was significantly less in the back-belt-wearing group than in the control, and that of the knee flexion was significantly increased in the back-belt-wearing group. Secondly, there was no significant change in the electromyographic signals of the erector spinae muscle of the back and the rectus femoris muscle of the thigh.
CONCLUSIONS
The use of back belts helps workers to correct their posture when lifting boxes. It can therefore protect workers from acute back injuries.

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  • Effect of Pelvic Tilting and the Back-belt on Electromyographic Activity of Erector Spinae During Lifting
    Hyung-Ki Park, Tack-Hoon Kim
    The Journal of the Korea Contents Association.2009; 9(3): 296.     CrossRef
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Ann Occup Environ Med : Annals of Occupational and Environmental Medicine
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