Skip Navigation
Skip to contents

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
7 "Prevention"
Filter
Filter
Article category
Keywords
Publication year
Authors
Review
Environmentally induced, occupational diseases with emphasis on chronic kidney disease of multifactorial origin affecting tropical countries
Shehani A. Wimalawansa, Sunil J. Wimalawansa
Ann Occup Environ Med 2016;28:33.   Published online August 5, 2016
DOI: https://doi.org/10.1186/s40557-016-0119-y
AbstractAbstract PDFPubReaderePub
Background

Environmentally induced, occupational diseases are increasing worldwide, especially in rural agricultural communities. Poverty-associated malnutrition, environmental hazards and pollution, and lack of access to clean water, safe sanitation, and modern healthcare facilities are often associated with these chronic illnesses.

Method

The authors systematically reviewed occupational public health issues that have been related to the environment. General interpretations of results were included as per the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Pertinent publications from research databases were reviewed on (A) the risk–benefits, (B) the prevalence of risk factors for various diseases, (C) the benefits of not ignoring the risk factors (i.e., broader evidence), and (D) the risks, effects, and outcomes of different types of interventions. The authors used chronic kidney disease of multifactorial origin (CKDmfo) as an example to explore the theme. Emphasis was given to the regions with emerging economies and developing countries located in the vicinity of the equator.

Findings

Geographical, socio-economic and aetiological similarities exist for many chronic non-communicable diseases that are affecting tropical countries around the equator. The authors identified manufacturing, mining, and agriculture as the biggest polluters of the environment. In addition, deforestation and associated soil erosion, overuse of agrochemicals, and irresponsible factory discharge (e.g., chemicals and paint, from rubber and textile factories, etc.), all contribute to pollution. To decrease the escalating incidences of environmentally induced diseases, governments should work proactively to protect the environment, especially watersheds, and take steps to minimise harmful occupational exposures and strictly enforce environmental regulations.

Conclusion

Creating public awareness of environmental issues and their relationship to public health is essential. This includes regular monitoring and periodic publication of the quality of water, air and soil; preventing deforestation and man-made soil erosion, increasing forest and ground cover, preventing occupational injuries, judicious and safe use of agrochemicals, sustainable agriculture and development programs, and implementing legislation to protect and conserve water heriage and the environment. These actions are essential both for a healthier environment and for the health of the people who live in that environment. Such measures would also decrease public health threats from such, including global-warming-related erratic environmental changes and the occurrence and the spread of non-communicable diseases, such as CKDmfo.


Citations

Citations to this article as recorded by  
  • Enfermedad renal crónica asociada a la exposición a metales pesados y productos agroquímicos en Latinoamérica
    Osiris Ortega-Moctezuma, Jocelyn Zárate-Pérez, Corina Mariela Alba-Alba, Mario Jiménez-Hernández, Natalia Ramírez-Girón
    Enfermería Nefrológica.2023; 26(2): 120.     CrossRef
  • Rising of a global silent killer: critical analysis of chronic kidney disease of uncertain aetiology (CKDu) worldwide and mitigation steps
    Watte Vidanelage Dinesha Priyadarshani, Angela F. Danil de Namor, S. Ravi P. Silva
    Environmental Geochemistry and Health.2023; 45(6): 2647.     CrossRef
  • Chitosan microspheres-based controlled-release nitrogen fertilizers improve the biological characteristics of Brassica rapa ssp. pekinensis and the soil
    Yahya Faqir, Yunlong Chai, Ali Murad Jakhar, Tong Luo, Shiyu Liao, Mohammad Talib Kalhoro, Chengjia Tan, Sumbal Sajid, Shiqi Hu, Jiali Luo, Shutong Liu, Niaz Umer, Jiahua Ma
    International Journal of Biological Macromolecules.2023; 253: 127124.     CrossRef
  • CaPO4-Mediated CKD of Crystallo-Tubular-Nephropathy [CKD-CTN]—A Crystal and Nanotube-Induced Geo-Environmental Disease
    Sunil J. Wimalawansa, Chandra B. Dissanayake
    Frontiers in Water.2022;[Epub]     CrossRef
  • Comprehensive Assessment of the Effect of Various Anthropogenic Activities on the Groundwater Quality
    Uguru Hilary, Akpokodje O. Isaac, Rokayya Sami, Amani H. Aljahani, A. Almasoudi, Abeer G. Almasoudi
    Science of Advanced Materials.2022; 14(3): 462.     CrossRef
  • Optical and electrochemical microfluidic sensors for water contaminants: A short review
    Sunaina, Hardeep Kaur, Nisha Kumari, Ajay Sharma, M. Sachdeva, Vishal Mutreja
    Materials Today: Proceedings.2022; 48: 1673.     CrossRef
  • A review of molecular mechanisms linked to potential renal injury agents in tropical rural farming communities
    Samarawickrama Wanni Arachchige Madushani Upamalika, Champi Thusangi Wannige, Sugandima Mihirani Vidanagamachchi, Sameera Chathuranga Gunasekara, Ramya Tulasi Kolli, P. Mangala C.S. De Silva, Don Kulasiri, Nishad Jayasundara
    Environmental Toxicology and Pharmacology.2022; 92: 103850.     CrossRef
  • Wars and kidney patients: a statement by the European Kidney Health Alliance related to the Russian-Ukrainian conflict
    R. Vanholder, D. Gallego, M. S. Sever
    Journal of Nephrology.2022; 35(2): 377.     CrossRef
  • Health effects of climate change: an overview of systematic reviews
    Rhea J Rocque, Caroline Beaudoin, Ruth Ndjaboue, Laura Cameron, Louann Poirier-Bergeron, Rose-Alice Poulin-Rheault, Catherine Fallon, Andrea C Tricco, Holly O Witteman
    BMJ Open.2021; 11(6): e046333.     CrossRef
  • Risk factors for endemic chronic kidney disease of unknown etiology in Sri Lanka: Retrospect of water security in the dry zone
    Oshadi Hettithanthri, Sandun Sandanayake, Dhammika Magana-Arachchi, Rasika Wanigatunge, Anushka Upamali Rajapaksha, Xianjiang Zeng, Qiutong Shi, Huaming Guo, Meththika Vithanage
    Science of The Total Environment.2021; 795: 148839.     CrossRef
  • A pilot case-control study using a one health approach to evaluate behavioral, environmental, and occupational risk factors for chronic kidney disease of unknown etiology in Sri Lanka
    Jake M Pry, Wendi Jackson, Ruwini Rupasinghe, Guneratne Lishanthe, Zied Badurdeen, Tilak Abeysekara, Rohana Chandrajith, Woutrina Smith, Saumya Wickramasinghe
    One Health Outlook.2021;[Epub]     CrossRef
  • Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes
    Paul D. Juarez, Darryl B. Hood, Min-Ae Song, Aramandla Ramesh
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Occupational Safety and Health in a Community of Shellfish Divers: A Community-Based Participatory Approach
    Marie A. Garrido, Manuel Parra, Juana Díaz, Julia Medel, Dennis Nowak, Katja Radon
    Journal of Community Health.2020; 45(3): 569.     CrossRef
  • Does fluoride cause the mysterious chronic kidney disease of multifactorial origin?
    Sunil J. Wimalawansa
    Environmental Geochemistry and Health.2020; 42(9): 3035.     CrossRef
  • Adsorption of Dye by Waste Black Tea Powder: Parameters, Kinetic, Equilibrium, and Thermodynamic Studies
    Dongyi Lin, Fan Wu, Yuqun Hu, Tingzhong Zhang, Chengshun Liu, Qiangda Hu, Yunfei Hu, Zhihui Xue, Hua Han, Tzu-Hsing Ko
    Journal of Chemistry.2020; 2020: 1.     CrossRef
  • Factors Affecting the Environmentally Induced, Chronic Kidney Disease of Unknown Aetiology in Dry Zonal Regions in Tropical Countries—Novel Findings
    Sunil J. Wimalawansa, Chandra B. Dissanayake
    Environments.2019; 7(1): 2.     CrossRef
  • Public health interventions for chronic diseases: cost–benefit modelizations for eradicating chronic kidney disease of multifactorial origin (CKDmfo/ CKDu) from tropical countries
    Sunil J. Wimalawansa
    Heliyon.2019; 5(10): e02309.     CrossRef
  • Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution
    Benjamin Bowe, Yan Xie, Tingting Li, Yan Yan, Hong Xian, Ziyad Al-Aly
    BMJ Open.2019; 9(5): e022450.     CrossRef
  • Taiwan renal care system: A learning health‐care system
    Mei‐Yi Wu, Mai‐Szu Wu
    Nephrology.2018; 23(S4): 112.     CrossRef
  • Current State and Future Trends to Optimize the Care of African Americans with End-Stage Renal Disease
    Kimberly Harding, Tesfaye B. Mersha, Fern J. Webb, Joseph A. Vassalotti, Susanne B. Nicholas
    American Journal of Nephrology.2017; 46(2): 156.     CrossRef
  • Strategies to reduce the global burden of direct maternal deaths
    Peter von Dadelszen, Laura A Magee
    Obstetric Medicine.2017; 10(1): 5.     CrossRef
  • 68 View
  • 0 Download
  • 20 Web of Science
  • 21 Crossref
Close layer
Review
French good practice guidelines for medical and occupational surveillance of the low back pain risk among workers exposed to manual handling of loads
Audrey Petit, Jean-Baptiste Fassier, Sandrine Rousseau, Philippe Mairiaux, Yves Roquelaure
Ann Occup Environ Med 2015;27:18.   Published online July 22, 2015
DOI: https://doi.org/10.1186/s40557-015-0069-9
AbstractAbstract PDFPubReaderePub

Several clinical practice guidelines related to the assessment and management of low back pain (LBP) have been published with varied scopes and methods. This paper summarises the first French occupational guidelines for management of work-related LBP (October 2013). There main originality is to treat all the three stages of primary, secondary and tertiary prevention of work-related LBP. The guidelines were written by a multidisciplinary working group of 24 experts, according to the Clinical Practice Guidelines method proposed by French National Health Authority, and reviewed by a multidisciplinary peer review committee of 50 experts. Recommendations were based on a large systematic review of the literature carried out from 1990 to 2012 and rated as strong (Level A), moderate (B), limited (C) or based on expert consensus (D) according to their level of evidence. It is recommended to deliver reassuring and consistent information concerning LBP prognosis (Level B); to perform a clinical examination looking for medical signs of severity related to LBP (Level A), encourage continuation or resumption of physical activity (Level A), identify any changes in working conditions and evaluate the occupational impact of LBP (Level D). In case of persistent/recurrent LBP, assess prognostic factors likely to influence progression to chronic LBP, prolonged disability and delayed return to work (Level A). In case of prolonged/repeated sick leave, evaluate the pain, functional disability and their impact and main risk factors for prolonged work disability (Level A), promote return to work measures and inter professional coordination (Level D). These good practice guidelines are primarily intended for professionals of occupational health but also for treating physicians and paramedical personnel participating in the management of LBP, workers and employers.


Citations

Citations to this article as recorded by  
  • Mapping the conceptual structure of ergonomics, musculoskeletal disorders, treatment and return to work in manual jobs: A systematic review
    Alywin Hacay Chang, Francisco Bolaños, Mercedes Sanchis-Almenara, Antonio Ramón Gómez-García
    Work.2024; 77(1): 103.     CrossRef
  • Use of Multiple Data Sources for Surveillance of Work-Related Chronic Low-Back Pain and Disc-Related Sciatica in a French Region
    Natacha Fouquet, Julie Bodin, Emilie Chazelle, Alexis Descatha, Yves Roquelaure
    Annals of Work Exposures and Health.2018; 62(5): 530.     CrossRef
  • 78 View
  • 0 Download
  • 4 Web of Science
  • 2 Crossref
Close layer
Research Article
Psychosocial Risk Factors and Musculoskeletal Symptoms among White and Blue-collar Workers at Private and Public Sectors
Leticia B Januario, Mariana V Batistao, Helenice JCG Coury, Ana Beatriz Oliveira, Tatiana O Sato
Ann Occup Environ Med 2014;26:20-20.   Published online July 25, 2014
DOI: https://doi.org/10.1186/s40557-014-0020-5
AbstractAbstract PDFPubReaderePub
Objectives

The aim of this study was to evaluate musculoskeletal and psychosocial perception and compare these conditions regarding the type of job (white or blue-collar) and the type of management model (private or public).

Methods

Forty-seven public white-collar (PuWC), 84 private white-collar (PrWC) and 83 blue-collar workers (PrBC) were evaluated. Job Content Questionnaire (JCQ) and Utrecht Work Engagement Scale (UWES) were applied to evaluate psychosocial factors. Nordic Musculoskeletal Questionnaire (NMQ) was used to assess musculoskeletal symptoms. Pressure Pain Threshold (PPT) was measured to evaluate sensory responses.

Results

According to JCQ, all groups were classified as active profile. There was a significant association between work engagement and workers’ categories (p < 0.05). PrWC workers had the highest scores for all the UWES domains, while PrBC had the lowest ones. PPT showed that PrBC workers had an increased sensitivity for left deltoid (p < 0.01), and for both epicondyles (p < 0.01), when compared to the other groups. PrWC workers had an increased sensitivity for both epicondyles than PuWC (right p < 0.01; left, p = 0.05). There was no significant association in the report of symptoms across the groups (p > 0.05).

Conclusion

This study showed differences in psychosocial risk factors and musculoskeletal symptoms in workers engaged in different types of jobs and work organization. Personal and work-related characteristics, psychosocial factors and PPT responses were different across workers’ group. Despite all, there was no significant difference in reported symptoms across the groups, possibly indicating that the physical load is similar among the sectors.


Citations

Citations to this article as recorded by  
  • Identifying pain profiles in employees including work-related factors and pain perceptions: a cross-sectional study in Belgian companies
    Stijn Keyaerts, Lode Godderis, Vero Vanden Abeele, Liesbeth Daenen
    BMJ Open.2024; 14(8): e082804.     CrossRef
  • Prevalence and Predicting Factors of Chronic Pain among Workers of Petrochemical and Petroleum Refinery Plants
    Maryam Shaygan, Maryam Yazdanpanah
    The International Journal of Occupational and Environmental Medicine.2020; 11(1): 3.     CrossRef
  • Prevalence of multisite pain and association with work ability – Cross-sectional study
    Ludmilla Maria Souza Mattos de Araújo Vieira, Tatiana de Oliveira Sato
    Musculoskeletal Science and Practice.2020; 50: 102279.     CrossRef
  • Fractures as a suicidal behavior risk factor
    Chun-Hao Tsai, Wan-Ju Cheng, Chih-Hsin Muo, Tsung-Li Lin
    Medicine.2019; 98(3): e14148.     CrossRef
  • Three job stress models and their relationship with musculoskeletal pain in blue- and white-collar workers
    Raphael M. Herr, Jos A. Bosch, Adrian Loerbroks, Annelies E.M. van Vianen, Marc N. Jarczok, Joachim E. Fischer, Burkhard Schmidt
    Journal of Psychosomatic Research.2015; 79(5): 340.     CrossRef
  • 56 View
  • 0 Download
  • 4 Web of Science
  • 5 Crossref
Close layer
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
  • 67 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
Research Article
Effects of health and safety problem recognition on small business facility investment
Jisu Park, Harin Jeong, Sujin Hong, Jong-Tae Park, Dae-Sung Kim, Jongseo Kim, Hae-Joon Kim
Ann Occup Environ Med 2013;25:26-26.   Published online October 23, 2013
DOI: https://doi.org/10.1186/2052-4374-25-26
AbstractAbstract PDFPubReaderePub
Objectives

This study involved a survey of the facility investment experiences, which was designed to recognize the importance of health and safety problems, and industrial accident prevention. Ultimately, we hope that small scale industries will create effective industrial accident prevention programs and facility investments.

Methods

An individual survey of businesses’ present physical conditions, recognition of the importance of the health and safety problems, and facility investment experiences for preventing industrial accidents was conducted. The survey involved 1,145 business operators or management workers in small business places with fewer than 50 workers in six industrial complexes.

Results

Regarding the importance of occupational health and safety problems (OHS), 54.1% said it was “very important”. Received technical and financial support, and industrial accidents that occurred during the past three years were recognized as highly important for OHS. In an investigation regarding facility investment experiences for industrial accident prevention, the largest factors were business size, greater numbers of industrial accidents, greater technical and financial support received, and greater recognition of the importance of the OHS. The related variables that decided facility investment for industry accident prevention in a logistic regression analysis were the experiences of business facilities where industrial accidents occurred during the past three years, received technical and financial support, and recognition of the OHS. Those considered very important were shown to be highly significant.

Conclusions

Recognition of health and safety issues was higher when small businesses had experienced industrial accidents or received financial support. The investment in industrial accidents was greater when health and safety issues were recognized as important. Therefore, the goal of small business health and safety projects is to prioritize health and safety issues in terms of business management and recognition of importance. Therefore, currently various support projects are being conducted. However, there are issues regarding the limitations of the target businesses and inadequacies in maintenance and follow-up. Overall, it is necessary to provide various incentives for onsite participation that can lead to increased recognition of health and safety issues and practical investments, while perfecting maintenance and follow up measures by thoroughly revising existing operating systems.


Citations

Citations to this article as recorded by  
  • Occupational discomfort and injuries among automotive technicians in Jeddah, Saudi Arabia: A cross-sectional study
    Khaled A. Hafez
    Work.2022; 73(4): 1203.     CrossRef
  • Validating the accuracy of ESENER-II in assessing psychosocial risks for the case of micro firms in Cyprus
    E. Stamatogianni, I.D. Anyfantis, C. Dimopoulos, G. Boustras
    Safety Science.2019; 120: 783.     CrossRef
  • OHS management and employers’ perception: differences by firm size in a large Italian company survey
    Michela Bonafede, Marisa Corfiati, Diana Gagliardi, Fabio Boccuni, Matteo Ronchetti, Antonio Valenti, Alessandro Marinaccio, Sergio Iavicoli
    Safety Science.2016; 89: 11.     CrossRef
  • 56 View
  • 0 Download
  • 3 Web of Science
  • 3 Crossref
Close layer
Original Article
Relating Factors of Industrial Accident
Dae Suk Ko, Soon Suk Choi, Soo Jin Jung, Jun Han Park, Hun Lee, Byung Chul Son, Sang Hwa Urm, Chae Un Lee, Ki Taek Bae, Jin Ho Chun
Korean Journal of Occupational and Environmental Medicine 1997;9(1):99-108.   Published online February 28, 1997
DOI: https://doi.org/10.35371/kjoem.1997.9.1.99
AbstractAbstract PDF
This study was conducted to estimate the causing factors of industrial accident, and to prepare the fittable control program for accident through the evaluation of views of the patients who suffered from accidents. From January 5 to February 6 1993, questionnaire survey was executed on 166 persons who were injured and covered by the insurance under industrial accident compensation law at four university hospitals in Pusan. The results were as follows : 1. Most of subjects worked in the manufacturing (56.6%) and construction(29.5%), and in the small factory less than 49 workers(56.0%). They were thirties and forties(63.8%), less than 3 years tenure(53.6%), habitual drinker(69.2%). And, 72.3% worked for above 9 hours per day, 53.6% worked as near clerks, 89.2% thought that work is rather suitable to his own personality. 2. Self-recognition for the causing factor of industrial accident was the other's malfunction(19.3%), carelessness(15.1%), lack of education for safety(15.1%), and they thought the accident occurred by mainly some defect of establishment and working environment(34.9%), unskillfulness(22.9%), self-carelessness(22.3%). 3. The interests and recognition on safety was insufficient, 88.6% require job education, but 53% pointed out the necessity for strengthening of present status-rather incomplete with relying on self-education (40.9%), no previous participation in safety education (29.5%), etc. 4. For the kind of accident, fall-down(16.3%), crash(13.3%), falling(12.7%) was frequent, head(24.7%) and fracture(41.0%) was frequent for the part and type of injury, respectively. And, they had more injured by cooperative work (82.5%) than single work. As results, improvement of working environment and strengthening education program would be emphasized for the effective control of industrial accident. And, there should be prepared the specific prevention program for the small scale industries.

Citations

Citations to this article as recorded by  
  • 3D motion analysis of the wrist splint effect to wrist joint movement
    Joong-il Shin, Soo-hee Park
    Journal of Physical Therapy Science.2017; 29(6): 1089.     CrossRef
  • A basic research on risk control measure for reducing the fishermen's occupational accident in offshore and coastal fishing vessel
    Wook-Sung Kim, Young-Bok Cho, Seok-Jae Kim, Kyong-Jin Ryu, Yoo-Won Lee
    Journal of the Korean society of Fisheries Technology.2014; 50(4): 614.     CrossRef
  • 35 View
  • 1 Download
  • 2 Crossref
Close layer

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