• 농촌의학ㆍ지역보건
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• 제44권3호
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• pp.138-143
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• 2019

양봉 작업은 들기 작업이 많아 근골격계 부담이 컸으며 양봉 농업인의 대부분이 지난 1년 동안 직업과 관련된 근골격계 질환 증상을 호소했다. 보조도구인 벌통리프트를 사용하면 양봉 작업으로 인한 근골격계 부담을 줄일 수 있다.

• 대한인간공학회지
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• 제36권3호
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• pp.183-196
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• 2017

Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.

• 한국직업건강간호학회지
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• 제29권4호
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• pp.342-353
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• 2020

Purpose: This study aimed to systematically review literature and conduct a meta-analysis to comprehensively identify and evaluate the effects of workplace risk assessment-based ergonomic intervention on work-related muscular-skeletal disorders in workers. Methods: We searched the Ovid-Medline, EMBASE, and Cochrane library and up to 2018 using search terms such as muscular-skeletal, disorder, impairment, work-related muscular-skeletal disorders, ergonomic, intervention, management with no language limitations; screened reference lists; and contacted experts in the field. Results: We identified 545 references and included 13 randomized controlled tests (3,368 workers). We judged nine studies to have a low risk of bias, while the other four studies have a high risk of bias. Conclusion: Ergonomic intervention based on risk assessment in the workplace did not significantly differ in terms of the intensity of pain or duration of workers in the workplace, but low-quality evidence decreased the frequency of musculoskeletal disorder pain in three to six months moderate-quality evidence and in six to nine months low-quality evidence. Besides, low-quality evidence to reduce discomfort and moderate-quality evidence to improve worker posture. Therefore, ergonomic intervention based on the assessment of risk factors in the workplace should be applied to reduce pain frequency and discomfort and improve workers posture among musculoskeletal disorders.

• 한국산업보건학회지
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• 제15권2호
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• pp.83-89
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• 2005

This study aims to compare a self-reported and expert-observed method on ergonomic risk factors of Work-related Musculoskeletal Disorders (WMSDs). The checklist was developed based on the results of previous studies, and the symptoms of WMSDs were obtained using a self-reported questionnaire from 1,029 shipyard workers. The risk factors were assessed through the self-report by workers and video analysis by ergonomists. The symptom prevalence at the low back (59.2%), shoulders (50.8 %), and knees (49.7%) were relatively higher than those at other body parts. Odds ratios (ORs) by body parts were 2.48 to 2.90 for the risk job, and the ORs were significantly different from those of the low risk job. The risk factor scores by body parts between workers and ergonomist were very high correlation(r=0.82 to 0.92). The rates of self-report from risk job were 54.0% (elbow and arm) to 72.1 % (low back), but sometimes overestimated(105.7 to 122.6%) than those by ergonomists. The checklist, developed in this study, will be an efficient tool for the evaluation of risk jobs using self-report by workers.

• 대한인간공학회지
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• 제24권4호
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• pp.79-83
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• 2005

Efforts to identify jobs or tasks having known risk factors for work-related musculoskeletal disorder can provide the groundwork for changes aimed at risk reduction. An effective identification method is the ergonomic job hazard analysis which breaks a job into its various elements or actions, describes them, measures and quantifies the ergonomics risk factors. Some analytical methods including OWAS, RULA, REBA, and NLE have been used as tools in quantifying the risk factors. But these traditional methods using worksheet or paper are difficult to explain to participants for performing the job hazard analysis in the field, and take a long time. We develop some software tools to implement the analytical methods using EXCEL programs or computer program. These tools developed in this study are faster and easier to perform the ergonomic job analysis than the traditional methods using worksheet.

• 대한인간공학회지
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• 제24권2호
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• pp.57-63
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• 2005

Ergonomic intervention techniques were adopted to assess and control potential risk factors of work-related musculoskeletal disorders(WMSDs) in the automated light assembly manufacturing system. Ten different kinds of assembly workstations implemented with a conveyor system and twelve female workers were observed and evaluated with careful video film analysis. Several close examinations using sets of checklists established by qualified safety and health organizations, such as NIOSH, OSHA, and ANSI, were conducted and every workers and staffs in the site participated in the self-report questionnaires and off-line interviews. Typical risk factors and symptoms of the upper extremity musculoskeletal disorders were found and categorized into specific parts of body. To reduce risk factors of WMSDs and improve system productivity new revised workstation standards, physical dimensions, were suggested accordant with anthropometric characteristics of workers and a heuristic decision strategy of rotating shift work schedules according to work contents has proposed to mitigate cumulative physical stress. Finally, ergonomic programs of entire company to prevent WMSDs were structured.

• 산업안전기술지
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• 제3권1호
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• pp.11-17
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• 2003

In recent years, work-related musculoskeletal disorders (WMSDs) are one of major issues in occupational safety and health in Korea, since the number of injured workers has rapidly increased and the related regulation was amended to improve the work conditions. Main risk factors of WMSDs in Korean industries include manual handling of heavy weight loads, awkward postures, repetitive tasks, prolonged static muscle contraction, and so on. in this article, some ergonomics case studies for identifying the risk factors of WMSDs and far their prevention were introduced. They include a biomechanical analysis for the heavy-weight handling task in a machine-repair shop, physiological evaluation of backpack-carrying tasks in a beverage delivery job, and a set of psychophysical studies to evaluate static-postural load. These studies showed that there are several different ergonomic approaches to identifying and evaluating risk factors of WMSDs and to eliminating them or reducing their levels, and that it is important to select proper methods and apply them in improving the work conditions according to the characteristics of the task. In addition, it needs to develop practical and effective ergonomic tools to prevent WMSDs and to provide these tools to the safety managers in the field so that they can improve the tasks by themselves.

• 대한인간공학회지
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• 제28권1호
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• pp.29-36
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• 2009

A Study was conducted to investigate the type and level of occupational risk factors for the onset of work-related musculoskeletal disorders (WMSDs) in non-manufacturing industries. Total of 38 worksites were investigated from 5 different business areas such as financial institution, transportation service, building maintenance, sanitary service and educational service. Major job and task category were classified and corresponding occupational risk factors such as awkward posture, force exertion, repetitiveness of job, and work/rest cycle were examined using various ergonomic risk analysis techniques. Sets of matrices were developed including types and levels of risk factors for the classified jobs and tasks from 5 different non-manufacturing industries. Also possible ergonomic remedies were suggested for the improvement working conditions. Results and risk factor matrices can be applied as a guideline for the investigation of WMSDs risk factors in similar industries for the prevention of WMSDs.

• 대한한의학회지
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• 제33권1호
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• pp.136-147
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• 2012

Objectives: The purpose of this study was to evaluate work-related risk factors of musculoskeletal disorders (MSDs) in various departments and tasks at an oriental medicine hospital. Methods: 269 hospital workers were selected for the study. The questionnaire survey included general characteristics, work-related characteristics and MSDs. Cross-tabulation analysis, multiple logistic regression, adjusted for age, work time, job demand and workload, were used to evaluate the effects of work-related factors on MSDs. Results: There were differences in MSDs depending on gender, age, occupation, and work-related factors. Prevalence rates of MSDs were 23.79% shoulder, 14.13% back, 10.41% neck. Risk factors for MSDs was packaging of drugs, transfer, and exercise therapy of physical therapist. Shoulder pain was significantly influenced by using power tools, over-reaching, and job demand while back pain was significantly influenced by weight-lifting operations and keyboard typing. Conclusions: The results of this study suggest that consideration of MSDs characteristics of workers in oriental medicine hospital is necessary to change unsuitable work environments and educate on preventing MSDs.

• 한국산림과학회지
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• 제110권2호
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• pp.210-216
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• 2021

우리나라 모든 산업에서 근골격계질환은 작업자들의 안전에 큰 영향을 미치고 있으며, 산림작업은 산업안전보건법에 따라 근골격계 부담작업으로 분류된다. 특히 벌도 및 가지제거작업은 주로 인력작업으로 실시되고 있으며, 작업원의 안정성 확보를 위해 작업자세에 대한 평가가 필요하다. 따라서 본 연구는 체인톱을 이용한 벌도 및 가지제거작업의 작업자를 대상으로 세가지 인간공학적 분석 도구(OWAS, RULA, REBA)를 이용하여 위험도를 평가하고, 평가기법별 작업자세에 대한 영향인자를 분석하였다. 벌도와 가지제거작업자세의 위험도는 RULA, OWAS, REBA 순으로 높게 평가되었으며, 대부분 2-3단계로 작업자세의 즉각 변경조치는 요구되지 않았다. 하지만 벌도작업에서 허리와 다리를 굽힌자세와 가지제거작업에서 벌도목 위에서 작업하는 자세는 위험도가 매우 높게 분석되었다. 또한 벌도작업의 경우 산지경사, 가지제거작업의 경우는 지상에서부터 벌도목 높이가 작업위험도 평가에 영향이 높은 것으로 분석되었다. 따라서 산림작업에 있어서 작업자의 안전성을 확보하기 위해 작업부하가 낮은 자세(벌도작업: 쪼그리는 자세, 가지제거작업: 허리와 다리가 곧은 자세)로 작업하는 것이 바람직한 것으로 사료된다.