• 정신신체의학
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• 제25권2호
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• pp.145-152
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• 2017

연구목적 정신장애인의 관리에서 있어서 탈원화와 공중보건 기반의 치료가 오랫동안 지속되어왔다. 본 연구는 국내 정신장애인 직업재활의 실태와 현황 및 효과성에 대해 확인하고자 하였다. 방 법 정신질환자에게 직업재활 프로그램을 운영하는 기관과 수를 파악하기 위하여 전화 및 전자 메일을 통하여 기본 조사를 시행하였다. 직업재활 프로그램을 운영하고 있는 시행 중에 있는 국내 108개 기관에 설문 양식을 배포하였다. 전체 응답률은 40.74% 였다. 결 과 각 기관의 직업재활 담당은 주로 정신보건사회복지사(47.8%)였으며, 조사 대상기관 중 100만원 미만 예산이 대부분(61.5%)이었다. 가장 보편적으로 운영하고 있는 직업재활 프로그램은 사례 관리 서비스(23.1%)였고, 그 다음은 정신사회 재활 프로그램(21.2%), 작업 훈련(17.9%) 이었다. 가장 효과가 좋다고 생각되는 프로그램은 사례관리 서비스(27.4%)였으며, 정신사회 재활 프로그램(19.8%), 작업훈련(17.9%) 순이었다. 직업 재활에 대한 주요 장애물로 조사된내용은 '국민 기초 생활 보장법 수혜 대상에서 제외되는 것에 대한 우려'였다. 결 론 본 연구 조사의 결과 직업재활프로그램이 필요하나 정부와 기관의 기본적인 지원이 여전히 부족한 것으로 나타났다.

• 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.

• 유통과학연구
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• 제14권3호
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• pp.55-62
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• 2016

Purpose - Average using time of smart-phone for Korean people is 3 hours 39 minutes and most people who are using a computer at home and their workplace can be affected over force to neck and shoulder due to unstable body posture. musculoskeletal disorders which caused by unstable body posture can affect strongly to decrease work efficiency. So this research is designed to measure the effect of using computer & smart-phone on decreased work efficiency due to musculoskeletal disorders and mediating effect between decreased work efficiency and musculoskeletal disorders. Research Design, Data, and Methodology - The author has developed a questionnaire with 6 hypothesis on the basis of previous research result with 5 constructs. The questionnaires were also made by interview and E-mail. 300 copies of questionnaires were distributed and 282 questionnaire were used for the analysis as valid data responses. SPSS ver.21.0 were used and made Cronbach's α and reliability test, correlation, Baron & Kenny 3 step mediated regression analysis. Result - Cronbach's α shows 0.770~0.954 and C.R. is 0.963~0.997 which is higher than 0.7. and AVE was 0.867~0.933. So the data are all acceptable condition. Using for a long time of a computer & smart-phone has a positive effect on musculoskeletal disorders. This means, it can cause musculoskeletal disorders if people use a computer & smart-phone for a long time due to unstable body posture. And musculoskeletal disorders can effect strongly decrease work efficiency. This study also found out that a long time of using computer can cause musculoskeletal disorders rather than using smart-phone a long time. To check mediate effect of musculoskeletal disorders between using a computer & smart-phone and Decreased Work Efficiency, author used 3-step mediated regression analysis of Baron & Kenny (1986). Using a computer for a long time mediate partially and using a smart-phone for a long time mediate completely. This means that using a smart-phone a long time is not the actual reason to decrease work efficiency. But using level of smart-phone is increasing rapidly day by day. So we need to make additional research about this matter seriously. Conclusion - Nowadays, people can not live on without a computer & smart-phone even a moment. But, using a computer for a long time will affect to cause musculoskeletal disorders and it will effect strongly to decrease work efficiency. Before, we thought over that musculoskeletal disorders were diseases of elder people. But, we found out from this study that musculoskeletal disorders can be happen to any people, even children, or workers in heavy industry or engaged in brain work. So we need to be careful when we use a computer for a long time. People also need to be careful to keep correct body posture when using both a computer and smart-phone since a smart-phone became more popular and using time level became longer. Due to increased income and living standard of people, physical growth of young people is so rapid. But the physical environment of society is not suitable for them since it can not follow up the speed of growth. Suitable work table is very important to prevent musculoskeletal disorder which can affect decrease work efficiency. For a person, a society or country, increased productivity is very important since it can directly connected to the job satisfaction. Education and reeducation for the people is also important, but to teach them how to keep good condition of health will be more important since it can increase the quality of work efficiency and quality of life. Computer and Smart-phone is one the best invention of modern society, but it can cause mental and physical disease which can affect decrease work efficiency and productivity. So it is necessary to observe attentively for the situation continually.

• 한국식품위생안전성학회지
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• 제29권2호
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• pp.79-84
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• 2014

본 연구는 비가열 섭취 냉동 당근주스의 HACCP (Hazard Analysis Critical Control Point)시스템 구축을 위하여 생물학적 위해요소분석을 위한 목적으로 2013년 6월 21일~2014년 3월 30일까지 약 270일간 제주도 제주시 구좌읍 소재에 있는 구좌농협에서 수행하였다. 일반적인 과채주스 제조업체의 제조공정을 참고로 하여 공정도를 작성하였으며, 원료 농산물(당근), 용수와 포장재료 입고, 보관, 세척, 분쇄, 착즙, 냉각, 내포장, 금속검출, 외포장, 보관 및 출하공정에 대하여 Fig. 1과 같이 작성하였다. 원료 당근의 세척 전, 세척 후의 Coliform group, Staphylococcus aureus, Salmonella spp., Bacillus cereus, Listeria Monocytogenes, 장출혈성대장균수를 측정한 결과 Bacillus cereus 는 세척 전 $4.70{\times}10^4CFU/g$이었으나, 세척 후 $1.02{\times}10^2CFU/g$ 검출되었으며, 나머지 병원성균은 검출되지 않았다. 자외선살균공정에서 당근주스의 유속를 변화시키면서 미생물의 변화를 시험한 결과 유속 4 L/min을 한계기준으로 결정하였다. 작업장별 공중낙하균(일반세균수, 대장균, 진균수) 시험결과 세척실의 미생물수는 20 CFU/Plate가 검출되었다. 작업자 손 세척 전후 시험결과 세척 전 일반세균수가 $6{\times}10^4CFU/cm^2$로 높게 나타났으나 손 세척 후에는 검출되지 않아 손 세척 및 소독에 대한 중요성을 교육하고 훈련해야 할 것이다. 제조설비 및 기구의 표면오염도를 검사한 결과 모든 시료에서 대장균군은 검출되지 않았고, 일반세균은 포장기 노즐에서 가장 많은 $8.5{\times}10^4CFU/cm^2$ 검출되었다. 위해분석 결과 병원성미생물을 예방, 감소 또는 제거할 수 있는 자외선살균 공정이 CCP-B (Biological)로 관리되어야 하고, 한계기준은 유속 4 L/min로 결정하였다. 따라서 Kwon의 유산균을 함유한 녹즙의 HACCP에 관한 연구에서와 같이 자외선살균 공정의 한계기준 및 이탈시 조치방법, 검증방법, 교육 훈련과 기록관리 등 철저한 HACCP 관리계획이 필요할 것으로 생각된다.