scholarly journals Reliability assessment of a coding scheme for the physical risk factors of work-related musculoskeletal disorders

2002 ◽  
Vol 28 (4) ◽  
pp. 232-237 ◽  
Author(s):  
Yiqun Chen ◽  
John D Meyer ◽  
Jaechul Song ◽  
J Corbett McDonald ◽  
Nicola Cherry
Keyword(s):  
Risk Factors ◽  
Musculoskeletal Disorders ◽  
Reliability Assessment ◽  
Work Related ◽  
Coding Scheme ◽  
Work Related Musculoskeletal Disorders ◽  
Physical Risk ◽  
Physical Risk Factors

scholarly journals Quantitative Measures of Physical Risk Factors Associated with Work-Related Musculoskeletal Disorders of the Elbow: A Systematic Review

2019 ◽  
Vol 16 (1) ◽  
pp. 130 ◽  
Author(s):  
David H. Seidel ◽  
Dirk M. Ditchen ◽  
Ulrike M. Hoehne-Hückstädt ◽  
Monika A. Rieger ◽  
Benjamin Steinhilber
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Musculoskeletal Disorders ◽  
Well Being ◽  
Special Focus ◽  
Factors Associated ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Physical Risk ◽  
Physical Risk Factors

Background: Work-related musculoskeletal disorders at the elbow are a common health problem, which highly impacts workers’ well-being and performance. Besides existing qualitative information, there is a clear lack of quantitative information of physical risk factors associated with specific disorders at the elbow (SDEs). Objective: To provide evidence-based quantitative measures of physical risk factors associated with SDEs. Methods: Studies were searched from 2007 to 2017 in Medline, EMBASE, and Cochrane Work. The identified risk factors were grouped in main- and sub-categories of exposure using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework for rating evidence. Results: 133 different risk-factor specifications were identified in 10/524 articles and were grouped into 5 main- and 16 sub-categories of exposure. The risk factors were significantly associated with lateral epicondylitis, medial epicondylitis, or ulnar neuropathy. Significant risk factors such as wrist angular velocity (5°/s, with increasing prevalence ratio of 0.10%/(°/s), or forearm supination (≥45° and ≥5% of time combined with forceful lifting) were found. Conclusions: This review delivers a categorization of work-related physical risk-factor specifications for SDEs with a special focus on quantitative measures, ranked for evidence. These results may build the base for developing risk assessment methods and prospective preventive measures.

A Conceptual Model of Work Productivity Associated with Work-Related Musculoskeletal Disorders in the Industrial Repetitive Task

2013 ◽  
Vol 845 ◽  
pp. 623-626
Author(s):  
Nurhayati Mohd Nur ◽  
Siti Zawiah Md Dawal ◽  
Mahidzal Dahari
Keyword(s):  
Conceptual Model ◽  
Musculoskeletal Disorders ◽  
Productivity Loss ◽  
Work Productivity ◽  
Time Loss ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Physical Risk ◽  
Physical Risk Factors ◽  
The Relationship

The performance of workers is a very important factor that could affect the overall productivity result. In the industrial repetitive task, the performance of direct workers has a significant impact on the work productivity. In this kind of task, the work productivity loss is not only seen from time loss but also due to functional incapacity of the workers. The workers are present at work but functionally limited due to work-related musculoskeletal disorders (WMSDs). There are various studies which have reported on the effects of WMSDs on the work productivity, but few attempts have been made to investigate the relationship. This study aims to develop a conceptual model of work productivity associated with WMSDs as an aid to identify the relationship between the risks of WMSDs and the work productivity. The knowledge on the relationship is important to reduce the risk of WMSDs and at the same time can optimize the work productivity. A conceptual model of work productivity associated with WMSDs in the industrial repetitive task was developed based on the review on the existing models and theories. The factors involved in the model were discussed. The factors involved were work-related physical risk factors, muscle fatigue, work-related musculoskeletal disorders and work productivity.

scholarly journals Physical Risk Factors Associated with the Work-Related Neck/Cervical Musculoskeletal Disorders: A Review

2017 ◽  
Vol 5 (1) ◽  
pp. 44-60 ◽  
Author(s):  
Yun Sun ◽  
Ashish D Nimbarte ◽  
Hossein Motabar
Keyword(s):  
Cervical Spine ◽  
Musculoskeletal Disorders ◽  
Experimental Studies ◽  
Epidemiological Studies ◽  
Future Research ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Physical Risk ◽  
Physical Risk Factors ◽  
Spine Disorders

Work-related musculoskeletal disorders (MSD) of the neck or cervical spine result in longer sick leaves, substantial levels of human suffering, and high costs for society. Epidemiological studies clearly indicate strong associations between MSD of the neck and the work activities requiring forceful arm exertions and heavy lifting. However, most of the existing studies that evaluate the neck or cervical spine disorders focus mainly on exertions demanding sustained neck postures of repetitive arm exertions. The purpose of this study is to conduct a systematic review of existing epidemiological and experimental studies that evaluates neck or cervical spine disorders and identify the gaps in the literature for future research.

scholarly journals REPETITION AS A RISK FACTOR FOR THE DEVELOPMENT OF MUSCULOSKELETAL DISORDERS

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Sonja Pavlovic-Veselinovic
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Key Words ◽  
Musculoskeletal Disorders ◽  
World Economy ◽  
Repetitive Work ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Repetitive Strain

Work-related musculoskeletal disorders (WRMSDs) are becoming a major problem in world economy. There is many and various risk factors that contribute to their development. Repetitive work is one of the most important risk factor. In this paper is described the body's response to repetitive strain, existing methods for evaluation/ quantification of repetition as risk factor for musculoskeletal disorders. The author proposes a new multidimensional scale for rating the level of risk of repetitive work, which may be useful in the risk assessment of the workplace. Key words: ergonomics, work related musculoskeletal disorders, risk assessment.

scholarly journals Determining the musculoskeletal disorders as the most common work-related injuries, especially in the crafts using the OCRA evaluation method

2019 ◽  
Author(s):  
Gh Halvani ◽  
H Fallah ◽  
R Jafari Nodoushan ◽  
A Haji hosseini ◽  
H Fallah zadeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Musculoskeletal Disorders ◽  
Evaluation Method ◽  
The Body ◽  
Working Environment ◽  
Work Related ◽  
Demographic Questionnaire ◽  
Work Related Musculoskeletal Disorders ◽  
Ergonomic Risk Factors

Introduction: The condition of work in handloom weaving industries cause musculoskeletal (MSDS) disorders which are the most prevailing professional problem among weavers. The aim of this research was to determine ergonomic risk factors in the occurrence of musculoskeletal disorders. Method: The present study was done through descriptive cross-section method to assess the risk factors of work-related musculoskeletal disorders of the weavers. Our data collection tools were: demographic questionnaire, job Nordic questionnaire and body map prevalence of musculoskeletal disorders to decide the rate of symptoms. Then, we took film from handloom weavers while wearing to know the condition of their bodies. After reviewing the films, the posture marks was assigned to each duty using the Ergo Intelligence software. At the end, data were analyzed via one-way ANOVA and T-test using SPSS ver.20. Results: The results showed that the most frequent incidence of pain in different organs of the body during last year belonged to neck and shoulder. The average OCRA was 3.65.This indicated that most of the handloom weavers (64.4%) are at high risk. Conclusion: According to the re According to the results of OCRA indices, weavers are at high risk for musculoskeletal injuries, indicating their poor working environment and working conditions, indicating the need for corrective actions.

Development of Industry-Specific Physical Job Evaluation Tool

2018 ◽  
Vol 62 (1) ◽  
pp. 1629-1630
Author(s):  
Ninica Howard ◽  
Stephen Bao ◽  
Jia-Hua Lin
Keyword(s):  
Risk Factors ◽  
Construction Industry ◽  
Musculoskeletal Disorders ◽  
Washington State ◽  
Assessment Tools ◽  
Whole Body ◽  
Job Evaluation ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Job Assessment

Background According to Washington State workers’ compensation data, construction as an industry ranked first in its compensable claims rate of work-related musculoskeletal disorders (WMSD) injuries (Anderson, Adams, Bonauto, Howard, & Silverstein, 2015). Many current physical job assessment tools available for ergonomics practitioners to evaluate work-related musculoskeletal disorder risks of the back, shoulder, hand/wrist and knee are mostly of general purposes. This project sought to identify risk factors pertinent to given industries. The construction industry is used as an example in this demonstration. Approach Four hundred thirty-six construction employees from sixteen companies in the State of Washington were observed and evaluated using commonly used exposure assessment tools: Washington State Checklists (Washington State Department of Labor and Industries, 2004a, b), Strain Index (Moore & Garg, 1995), American Congress of Governmental Industrial Hygienists Lifting Threshold Limit Values (ACGIH, 2005), Liberty Mutual Manual Materials Handling Guidelines (Snook & Ciriello, 1991), Quick Ergonomics Checklist (David et al, 2005; David et al, 2008), and the European Union Vibration Directives (EU, 2002). The physical risk factors that were evaluated are those that have been associated with WMSDs. These risk factors included: awkward postures of the back, shoulder, hand/wrist; lifting; pushing, pulling, carrying; high hand forces (pinching, griping); highly repetitive motions of the hand/wrist; repeated impacts of the hand or knee; vibration (whole body, hand); and any specific tasks with potential WMSD risks but were otherwise not covered in any of the common assessment tools. Following the results of the exposure assessments, a comprehensive physical job evaluation checklist was created by retaining items sensitive to differentiate levels of risks within jobs in the construction industry. From our job evaluations, WMSD risk factors may not be the same between industry groups and as such, industry-specific tools may simplify the evaluation process by focusing on unique exposures. The final Physical Job Evaluation Checklist is currently presented in the form of a spreadsheet available for download and use ( www.lni.wa.gov/Safety/Research/Wmsd/WMSD2010.asp ). Accompanying reference guide is also available to provide instructions how data fields can be obtained or measured. The user can print out a paper form first, record the assessment at a job site, then enter the necessary data into the spreadsheet. The algorithm then generates all the evaluation reports and highlight areas that should receive attention. The goals are to raise general awareness of industry-specific physical factors that contribute to work-related musculoskeletal disorders (WMSDs), and help identify specific aspects of the job that pose a risk for back, shoulder, hand/wrist and knee injury common in the construction industry. Using the Physical Job Evaluation Checklists can help prioritize injury prevention efforts by identifying the jobs, or the aspects of the job that pose the greatest risk of injury. It is also possible to evaluate the impact that proposed jobsite changes have on WMSD risk (before and after exposures). And finally, it is possible to compare exposures between workers performing the same or different tasks. Limitation Due to the study design, the Physical Job Evaluation Checklist IS NOT intended to predict the occurrence of WMSDs or to provide guidance or suggestions on how to mitigate exposure to risk factors of WMSDs.

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