Skip Navigation
Skip to contents

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
3 "Lifting"
Filter
Filter
Article category
Keywords
Publication year
Authors
Review
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.


Citations

Citations to this article as recorded by  
  • Validity and reliability of Japanese version of the MAPO index for assessing manual patient handling in nursing homes
    Naomichi Tani, Fumiko Ichikawa, Susumu Oda, Olga Menoni, Marco Tasso, Kazuyuki Iwakiri, Masaharu Kumashiro, Takeshi Ebara, Yasuhiro Tsutsui
    Journal of Occupational Health.2024;[Epub]     CrossRef
  • Tensions of Low-Back Pain and Lifting; Bridging Clinical Low-Back Pain and Occupational Lifting Guidelines
    Michiel F. Reneman, Pieter Coenen, P. Paul F. M. Kuijer, Jaap H. van Dieën, Andreas Holtemann, Chinonso Nwamaka Igwesi-Chidobe, Romy Parker, Roland Reezigt, Mette J. Stochkendahl, Morten Hoegh
    Journal of Occupational Rehabilitation.2024; 34(3): 473.     CrossRef
  • Cervicobrachialgia and lumboischialgia: A single effective approach to solving the problem
    V. A. Golovacheva, A. A. Golovacheva, S. D. Belyaeva
    Meditsinskiy sovet = Medical Council.2024; (12): 86.     CrossRef
  • Rehabilitation Medicine for Chronic Pain:Based on the Evidence of Clinical Practice Guidelines for the Management of Chronic Pain
    Tomonori Tamura, Shinji Kimura, Takao Oguro
    The Japanese Journal of Rehabilitation Medicine.2023; 60(6): 518.     CrossRef
  • The impact of multiple regions of pain and work-life balance among healthcare workers
    Onoriode Kesiena, Joseph Atarere, Mark Benden
    Work.2023; 75(1): 357.     CrossRef
  • Characterization of upper limb use in health care workers during regular shifts: A quantitative approach based on wrist-worn accelerometers
    Micaela Porta, Simona Porceddu, Bruno Leban, Giulia Casu, Giovanni M. Mura, Marcello Campagna, Massimiliano Pau
    Applied Ergonomics.2023; 112: 104046.     CrossRef
  • High-density surface electromyography allows to identify risk conditions and people with and without low back pain during fatiguing frequency-dependent lifting activities
    Tiwana Varrecchia, Alberto Ranavolo, Giorgia Chini, Alessandro Marco De Nunzio, Francesco Draicchio, Eduardo Martinez-Valdes, Deborah Falla, Silvia Conforto
    Journal of Electromyography and Kinesiology.2023; 73: 102839.     CrossRef
  • Effects of Ankle Plantar Flexion / Dorsiflexion Tilt on Lifting Motions under Instruction to Focus on the Hip Position
    Masaya FURUICHI, Kazushige OSHITA
    The Japanese Journal of Ergonomics.2023; 59(6): 251.     CrossRef
  • Addressing Occupational Back Pain: A Systematic Review of Preventive and Therapeutic Strategies
    Dania Gari, Abdulhadi A Alabdulhadi, Abdulrahman A Alahmari , Zahrah A Alsalman, Hani S Alshehri
    Cureus.2023;[Epub]     CrossRef
  • Trunk muscle co-activation and activity in one- and two-person lifting
    Giorgia Chini, Tiwana Varrecchia, Antonella Tatarelli, Alessio Silvetti, Lorenzo Fiori, Francesco Draicchio, Alberto Ranavolo
    International Journal of Industrial Ergonomics.2022; 89: 103297.     CrossRef
  • Centre of pressure parameters for the assessment of biomechanical risk in fatiguing frequency-dependent lifting activities
    Carmen D’Anna, Tiwana Varrecchia, Alberto Ranavolo, Alessandro Marco De Nunzio, Deborah Falla, Francesco Draicchio, Silvia Conforto, Ming-Chun Huang
    PLOS ONE.2022; 17(8): e0266731.     CrossRef
  • The Dutch Multidisciplinary Occupational Health Guideline to Enhance Work Participation Among Low Back Pain and Lumbosacral Radicular Syndrome Patients
    J. W. H. Luites, P. P. F. M. Kuijer, C. T. J. Hulshof, R. Kok, M. W. Langendam, T. Oosterhuis, J. R. Anema, V. P. Lapré-Utama, C. P. J. Everaert, H. Wind, R. J. E. M. Smeets, Y. van Zaanen, E. A. Hoebink, L. Voogt, W. de Hoop, D. H. Boerman, J. L. Hoving
    Journal of Occupational Rehabilitation.2022; 32(3): 337.     CrossRef
  • Formulation of Japanese Orthopaedic Association (JOA) clinical practice guideline for the management of low back pain- the revised 2019 edition
    Osamu Shirado, Yoshiyasu Arai, Tetsuhiro Iguchi, Shiro Imagama, Mamoru Kawakami, Takuya Nikaido, Tadanori Ogata, Sumihisa Orita, Daisuke Sakai, Kimiaki Sato, Masahiko Takahata, Katsushi Takeshita, Takashi Tsuji, Kei Ando, Yoshiyasu Arai, Teruaki Endo, Hir
    Journal of Orthopaedic Science.2022; 27(1): 3.     CrossRef
  • Trunk Muscle Coactivation in People with and without Low Back Pain during Fatiguing Frequency-Dependent Lifting Activities
    Tiwana Varrecchia, Silvia Conforto, Alessandro Marco De Nunzio, Francesco Draicchio, Deborah Falla, Alberto Ranavolo
    Sensors.2022; 22(4): 1417.     CrossRef
  • A comparison of augmented feedback and didactic training approaches to reduce spine motion during occupational lifting tasks
    Victor C.H. Chan, Timothy N. Welsh, Luc Tremblay, David M. Frost, Tyson A.C. Beach
    Applied Ergonomics.2022; 99: 103612.     CrossRef
  • Effects of Various Instructions about Lifting Motion with Different Weights on Hip Joint, Knee Joint, and Trunk Tilt Angles
    Masaya FURUICHI, Kazushige OSHITA
    Journal of Japan Society of Sports Industry.2022; 32(3): 3_353.     CrossRef
  • Workplace Musculoskeletal Disorder Prevention Practices and Experiences
    Dwayne Van Eerd, Emma Irvin, Morgane Le Pouésard, Amanda Butt, Kay Nasir
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2022; 59: 004695802210921.     CrossRef
  • Exploring lumbar and lower limb kinematics and kinetics for evidence that lifting technique is associated with LBP
    Nic Saraceni, Amity Campbell, Peter Kent, Leo Ng, Leon Straker, Peter O’Sullivan, Daniel Boullosa
    PLOS ONE.2021; 16(7): e0254241.     CrossRef
  • Biomechanical risk in fatiguing frequency-dependent lifting activities: muscle coactivation in people with and without low back pain
    Tiwana Varrecchia, Giorgia Chini, Silvia Conforto, Deborah Falla, Alessandro Marco De Nunzio, Francesco Draicchio, Mariano Serrao, Antonella Tatarelli, Lorenzo Fiori, Alberto Ranavolo
    Journal of Advanced Health Care.2021;[Epub]     CrossRef
  • Developing a practice and evidence-based guideline for occupational health and safety professionals to prevent and handle musculoskeletal pain in workplaces
    Kathrine Greby Schmidt, Andreas Holtermann, Marie Birk Jørgensen, Malene Jagd Svendsen, Charlotte Diana Nørregaard Rasmussen
    Applied Ergonomics.2021; 97: 103520.     CrossRef
  • Manual handling of heavy loads and low back pain among different occupational groups: results of the 2018 BIBB/BAuA employment survey
    Martha Sauter, Julia Barthelme, Charlotte Müller, Falk Liebers
    BMC Musculoskeletal Disorders.2021;[Epub]     CrossRef
  • Healthcare Workers and Manual Patient Handling: A Pilot Study for Interdisciplinary Training
    Elpidio Maria Garzillo, Maria Grazia Lourdes Monaco, Anna Rita Corvino, Francesco D’Ancicco, Daniela Feola, Dino Della Ventura, Nadia Miraglia, Monica Lamberti
    International Journal of Environmental Research and Public Health.2020; 17(14): 4971.     CrossRef
  • What do UK osteopaths view as the safest lifting posture, and how are these views influenced by their back pain beliefs?
    Kristoffer Smith, Oliver P. Thomson
    International Journal of Osteopathic Medicine.2020; 37: 10.     CrossRef
  • Sex and gender considerations in low back pain clinical practice guidelines: a scoping review
    Tori Rathbone, Catherine Truong, Haley Haldenby, Sara Riazi, Mara Kendall, Tayler Cimek, Luciana G Macedo
    BMJ Open Sport & Exercise Medicine.2020; 6(1): e000972.     CrossRef
  • Assessing the potential for “undesired” effects of passive back-support exoskeleton use during a simulated manual assembly task: Muscle activity, posture, balance, discomfort, and usability
    Sunwook Kim, Saman Madinei, Mohammad Mehdi Alemi, Divya Srinivasan, Maury A. Nussbaum
    Applied Ergonomics.2020; 89: 103194.     CrossRef
  • Application of MSD prevention practices by nursing staff working in healthcare settings
    Saliha Ziam, Elena Laroche, Sawsen Lakhal, Marie Alderson, Charles Gagné
    International Journal of Industrial Ergonomics.2020; 77: 102959.     CrossRef
  • Effectiveness of a tailored implementation strategy to improve adherence to a guideline on mental health problems in occupational health care
    Margot C. W. Joosen, Karlijn M. van Beurden, David S. Rebergen, Monique A. J. M. Loo, Berend Terluin, Jaap van Weeghel, Jac J. L. van der Klink, Evelien P. M. Brouwers
    BMC Health Services Research.2019;[Epub]     CrossRef
  • Prevalence and risk factors of low back disorders among waste collection workers: A systematic review
    Benedicta O. Asante, Catherine Trask, Olugbenga Adebayo, Brenna Bath
    Work.2019; 64(1): 33.     CrossRef
  • Awareness of musculoskeletal disorders hazards and controls in micro and small businesses in Ontario, Canada
    Amin Yazdani, Ben Sawicki, Grace Schwenck, Richard Wells
    IISE Transactions on Occupational Ergonomics and Human Factors.2019; 7(1): 12.     CrossRef
  • The new "Tehran Back Belt": Design then testing during a simulated sitting task improved biomechanical spine muscle activity
    Hamidreza Mokhtarinia, Javad Ghamary, Azam Maleki-Ghahfarokhi, Morteza Asgari, Charles Philip Gabel, Mohamad Parnianpour
    Health Promotion Perspectives.2019; 9(2): 115.     CrossRef
  • The effect of the ‘One Stretch’ exercise on the improvement of low back pain in Japanese nurses: A large-scale, randomized, controlled trial
    Hiroyuki Oka, Takuo Nomura, Fuminari Asada, Kenichiro Takano, Yasuhiko Nitta, Yasutomo Uchima, Tomonori Sato, Masafumi Kawase, Sayoko Sawada, Kazushi Sakamoto, Makoto Yasue, Satoshi Arima, Junji Katsuhira, Kayo Kawamata, Tomoko Fujii, Sakae Tanaka, Hiroak
    Modern Rheumatology.2019; 29(5): 861.     CrossRef
  • Trunk posture assessment during work tasks at a Canadian recycling center
    Benedicta O. Asante, Brenna Bath, Catherine Trask
    International Journal of Industrial Ergonomics.2018; 68: 297.     CrossRef
  • Using verbal instructions to influence lifting mechanics – Does the directive “lift with your legs, not your back” attenuate spinal flexion?
    Tyson A.C. Beach, Tatjana Stankovic, Danielle R. Carnegie, Rachel Micay, David M. Frost
    Journal of Electromyography and Kinesiology.2018; 38: 1.     CrossRef
  • Developing predictive models for return to work using the Military Power, Performance and Prevention (MP3) musculoskeletal injury risk algorithm: a study protocol for an injury risk assessment programme
    Daniel I Rhon, Deydre S Teyhen, Scott W Shaffer, Stephen L Goffar, Kyle Kiesel, Phil P Plisky
    Injury Prevention.2018; 24(1): 81.     CrossRef
  • Surface electromyography for risk assessment in work activities designed using the “revised NIOSH lifting equation”
    Alberto Ranavolo, Tiwana Varrecchia, Sergio Iavicoli, Agnese Marchesi, Martina Rinaldi, Mariano Serrao, Silvia Conforto, Mario Cesarelli, Francesco Draicchio
    International Journal of Industrial Ergonomics.2018; 68: 34.     CrossRef
  • Development and Test of a Short Message on Manual Materials Handling Hazards and Controls in Small and Micro Businesses
    Amin Yazdani, Binh Ngo, Grace Schwenk, Ben Sawicki, Phil Bigelow, Jack Callaghan, Niki Carlan, Irene Lambraki, Richard Wells
    IISE Transactions on Occupational Ergonomics and Human Factors.2018; 6(1): 11.     CrossRef
  • Lifting activity assessment using surface electromyographic features and neural networks
    Tiwana Varrecchia, Cristiano De Marchis, Martina Rinaldi, Francesco Draicchio, Mariano Serrao, Maurizio Schmid, Silvia Conforto, Alberto Ranavolo
    International Journal of Industrial Ergonomics.2018; 66: 1.     CrossRef
  • Identifying knowledge gaps between practice and research for implementation components of sustainable interventions to improve the working environment – A rapid review
    Charlotte Diana Nørregaard Rasmussen, Helene Højberg, Elizabeth Bengtsen, Marie Birk Jørgensen
    Applied Ergonomics.2018; 67: 178.     CrossRef
  • Contribution of occupational factors to the incidence and persistence of chronic low back pain among workers: results from the longitudinal VISAT study
    Yolande Esquirol, Michel Niezborala, Monique Visentin, Anne Leguevel, Ignacio Gonzalez, Jean-Claude Marquié
    Occupational and Environmental Medicine.2017; 74(4): 243.     CrossRef
  • Cochrane Work—championing facts since 2003
    Jani Ruotsalainen, Riitta Sauni, Jos Verbeek
    Occupational Medicine.2017; 67(7): 504.     CrossRef
  • Implementation of ergonomic programs to reduce sick leave due to low back pain among nickel mining operators
    Yassierli
    International Journal of Industrial Ergonomics.2017; 61: 81.     CrossRef
  • Mechanical lifting energy consumption in work activities designed by means of the “revised NIOSH lifting equation”
    Alberto RANAVOLO, Tiwana VARRECCHIA, Martina RINALDI, Alessio SILVETTI, Mariano SERRAO, Silvia CONFORTO, Francesco DRAICCHIO
    INDUSTRIAL HEALTH.2017; 55(5): 444.     CrossRef
  • Society of Interventional Radiology: Occupational Back and Neck Pain and the Interventional Radiologist
    Robert G. Dixon, Vishal Khiatani, John D. Statler, Eric M. Walser, Mehran Midia, Donald L. Miller, Gabriel Bartal, Jeremy D. Collins, Kathleen A. Gross, Michael S. Stecker, Boris Nikolic
    Journal of Vascular and Interventional Radiology.2017; 28(2): 195.     CrossRef
  • Lifting Height as the Dominant Risk Factor for Low-Back Pain and Loading During Manual Materials Handling: A Scoping Review
    Binh P. T. Ngo, Amin Yazdani, Nicolette Carlan, Richard Wells
    IISE Transactions on Occupational Ergonomics and Human Factors.2017; 5(3-4): 158.     CrossRef
  • Pre-employment examination for low back risk in workers exposed to manual handling of loads: French guidelines
    A. Petit, S. Rousseau, J. F. Huez, Ph. Mairiaux, Y. Roquelaure
    International Archives of Occupational and Environmental Health.2016; 89(1): 1.     CrossRef
  • Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation
    Ming-Lun Lu, Vern Putz-Anderson, Arun Garg, Kermit G. Davis
    Human Factors: The Journal of the Human Factors and Ergonomics Society.2016; 58(5): 667.     CrossRef
  • Pain-related factors associated with lost work days in nurses with low back pain: A cross-sectional study
    Saurab Sharma, Nischal Shrestha, Mark P. Jensen
    Scandinavian Journal of Pain.2016; 11(1): 27.     CrossRef
  • Does the use of small aids during patient handling activities lead to a decreased occurrence of musculoskeletal complaints and diseases? A systematic review
    A. Freiberg, U. Euler, M. Girbig, A. Nienhaus, S. Freitag, A. Seidler
    International Archives of Occupational and Environmental Health.2016; 89(4): 547.     CrossRef
  • Back pain: Prevention and management in the workplace
    Frederieke G. Schaafsma, Johannes R. Anema, Allard J. van der Beek
    Best Practice & Research Clinical Rheumatology.2015; 29(3): 483.     CrossRef
  • 66 View
  • 1 Download
  • 52 Web of Science
  • 49 Crossref
Close layer
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.


Citations

Citations to this article as recorded by  
  • sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings
    Leandro Donisi, Deborah Jacob, Lorena Guerrini, Giuseppe Prisco, Fabrizio Esposito, Mario Cesarelli, Francesco Amato, Paolo Gargiulo
    Bioengineering.2023; 10(9): 1103.     CrossRef
  • Tactile Gloves Predict Load Weight During Lifting With Deep Neural Networks
    Guoyang Zhou, Ming-Lun Lu, Denny Yu
    IEEE Sensors Journal.2023; 23(16): 18798.     CrossRef
  • Using real-time feedback of L5/S1 compression force based on markerless optical motion capture to improve the lifting technique in manual materials handling
    Christopher Brandl, Oliver Brunner, Pietro Marzaroli, Tobias Hellig, Laura Johnen, Alexander Mertens, Marco Tarabini, Verena Nitsch
    International Journal of Industrial Ergonomics.2022; 91: 103350.     CrossRef
  • Using Occupational Histories to Assess Heat Exposure in Undocumented Workers Receiving Emergent Renal Dialysis in Georgia
    Daniel J. Smith, Valerie Mac, Lisa M. Thompson, Laura Plantinga, Lauren Kasper, Vicki S. Hertzberg
    Workplace Health & Safety.2022; 70(5): 251.     CrossRef
  • A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks
    Leandro Donisi, Giuseppe Cesarelli, Edda Capodaglio, Monica Panigazzi, Giovanni D’Addio, Mario Cesarelli, Francesco Amato
    Diagnostics.2022; 12(11): 2624.     CrossRef
  • The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review
    Victor C.H. Chan, Gwyneth B. Ross, Allison L. Clouthier, Steven L. Fischer, Ryan B. Graham
    Applied Ergonomics.2022; 98: 103574.     CrossRef
  • Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles
    Mitja Trkov, Duncan T. Stevenson, Andrew S. Merryweather
    Applied Ergonomics.2022; 101: 103693.     CrossRef
  • A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk
    Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu
    IEEE Transactions on Human-Machine Systems.2022; 52(2): 207.     CrossRef
  • Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning
    Leandro Donisi, Giuseppe Cesarelli, Armando Coccia, Monica Panigazzi, Edda Maria Capodaglio, Giovanni D’Addio
    Sensors.2021; 21(8): 2593.     CrossRef
  • The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics
    Alberto Ranavolo, Arash Ajoudani, Andrea Cherubini, Matteo Bianchi, Lars Fritzsche, Sergio Iavicoli, Massimo Sartori, Alessio Silvetti, Bram Vanderborght, Tiwana Varrecchia, Francesco Draicchio
    Sensors.2020; 20(20): 5750.     CrossRef
  • Automation of mass spectrometric detection of analytes and related workflows: A review
    Decibel P. Elpa, Gurpur Rakesh D. Prabhu, Shu-Pao Wu, Kheng Soo Tay, Pawel L. Urban
    Talanta.2020; 208: 120304.     CrossRef
  • Predicting Sagittal Plane Lifting Postures From Image Bounding Box Dimensions
    Runyu L. Greene, Yu Hen Hu, Nicholas Difranco, Xuan Wang, Ming-Lun Lu, Stephen Bao, Jia-Hua Lin, Robert G. Radwin
    Human Factors: The Journal of the Human Factors and Ergonomics Society.2019; 61(1): 64.     CrossRef
  • The accuracy of a 2D video-based lifting monitor
    Xuan Wang, Yu Hen Hu, Ming-Lun Lu, Robert G. Radwin
    Ergonomics.2019; 62(8): 1043.     CrossRef
  • Surface electromyography for risk assessment in work activities designed using the “revised NIOSH lifting equation”
    Alberto Ranavolo, Tiwana Varrecchia, Sergio Iavicoli, Agnese Marchesi, Martina Rinaldi, Mariano Serrao, Silvia Conforto, Mario Cesarelli, Francesco Draicchio
    International Journal of Industrial Ergonomics.2018; 68: 34.     CrossRef
  • Risk factors identification and visualization for work-related musculoskeletal disorders with wearable and connected gait analytics system and kinect skeleton models
    Diliang Chen, Yi Cai, Jiawei Cui, Jia Chen, Haotian Jiang, Ming-Chun Huang
    Smart Health.2018; 7-8: 60.     CrossRef
  • Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges—A Systematic Review
    Alberto Ranavolo, Francesco Draicchio, Tiwana Varrecchia, Alessio Silvetti, Sergio Iavicoli
    International Journal of Environmental Research and Public Health.2018; 15(9): 2001.     CrossRef
  • Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
    Jose Antonio Diego-Mas, Rocio Poveda-Bautista, Diana Garzon-Leal
    Applied Ergonomics.2017; 65: 530.     CrossRef
  • Letter regarding ‘Comparison between low-cost marker-less and high-end marker-based motion capture systems for the computer-aided assessment of working ergonomics’ by Patrizi et al. and research reproducibility

    Ergonomics.2017; 60(4): 597.     CrossRef
  • Inverse dynamics based on occlusion-resistant Kinect data: Is it usable for ergonomics?
    Pierre Plantard, Antoine Muller, Charles Pontonnier, Georges Dumont, Hubert P.H. Shum, Franck Multon
    International Journal of Industrial Ergonomics.2017; 61: 71.     CrossRef
  • Response to letter by Spector and Lieblich
    Alfredo Patrizi, Ettore Pennestrì, Pier Paolo Valentini
    Ergonomics.2017; 60(4): 599.     CrossRef
  • Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation
    Ming-Lun Lu, Vern Putz-Anderson, Arun Garg, Kermit G. Davis
    Human Factors: The Journal of the Human Factors and Ergonomics Society.2016; 58(5): 667.     CrossRef
  • A Work-related Musculoskeletal Disorder Risk Assessment Platform using Smart Sensor
    Byoung Gook Loh
    Journal of the Korean Society of Safety.2015; 30(3): 93.     CrossRef
  • 81 View
  • 1 Download
  • 24 Web of Science
  • 22 Crossref
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.

Citations

Citations to this article as recorded by  
  • Difference of muscle activity and muscle contraction onset time of the trunk and lower extremity according to object weights and leg length discrepancy during lifting tasks
    Hyeon Nam Ryu, Sung Jun Han, Jin Tae Han
    The Journal of Korean Academy of Physical Therapy Science.2024; 31(2): 30.     CrossRef
  • Correlation among Functional Leg Length Discrepancy, Muscle Activity, Muscle Contraction Onset Time and Vertical Ground Reaction Force during Simple Lifting Task
    Ha Young Jin, Jin Tae Han
    The Journal of Korean Physical Therapy.2022; 34(4): 175.     CrossRef
  • Designing a Snow-removing Tool Through Ergonomic Approach
    Kwang Tae Jung, Jung Min Nam
    Journal of the Ergonomics Society of Korea.2016; 35(5): 439.     CrossRef
  • Effects of low-frequency electrical stimulation on cumulative fatigue and muscle tone of the erector spinae
    Da-Haeng Kang, Jae-Keun Jeon, Joon-Hee Lee
    Journal of Physical Therapy Science.2015; 27(1): 105.     CrossRef
  • 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
  • 33 View
  • 0 Download
  • 5 Crossref
Close layer

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine
Close layer
TOP