• 한국산학기술학회논문지
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• 제17권7호
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• pp.543-554
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• 2016

본 연구의 목적은 제조업 남성 근로자들의 직무스트레스 요인과 피로수준과의 관련성을 조사하기 위함이다. 연구대상자는 50인 미만의 소규모 제조업 사업장에서 근무하고 있는 남성 근로자를 553명으로 하였다. 자료 수집은 2015년 4월에 한국인 직무스트레스 측정도구와 한국판 다차원피로척도를 사용한 구조화된 설문지를 이용하여 실시하였으며, 수집된 자료는 SPSS ver 21.0 프로그램을 이용하여 분석하였다. 연구결과, 조사대상자의 피로증상은 직무스트레스가 정상인 군보다 고위험 스트레스군에서 유의하게 높았다. 또한 조사대상자의 피로증상은 직무스트레스와 유의한 양의 상관관계를 보였으며, 직무스트레스가 정상인 군에 비해 고위험 스트레스 군에서 고위험 피로군에 속할 위험비가 유의하게 증가하였다. 또한 피로수준에 영향을 미치는 요인으로는 연령, 결혼상태, 교육수준 및 주관적 건강상태. 수면시간, 커피음용 횟수, 외래진료경험 유무, 직장생활 만족도 및 직무스트레스가 유의한 변수로 선정되었으며 이들의 설명력은 27.7%이었다. 위와 같은 연구결과는 소규모 제조업 남성 근로자들의 피로수준은 인구사회학적 특성, 건강관련행위 특성 및 직업관련 특성뿐만 아니라 직무스트레스 요인과도 유의한 관련성이 있음을 시사하고 있다.

• 한국보건간호학회지
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• 제16권2호
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• pp.271-284
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• 2002

This study was to provide basic materials to help reduce the fatigue by analyzing what effective factor the fatigue of hospital nurses in Gwangju and Jeonnam region. and what causes their fatigue. This descriptive research by Questionaires includes two hospitals in Gwangju. and seven hospitals in Jeonnam region, total 9 hospitals sampled at convenience sampling. The periods of collecting data was from Jul.22, 2002 to Jul. 30, 2002. Multidimensional Fatigue Scale; MFS, developed by Jang Se-Jin(2000) was taken to measure the fatigue. All collected materials were got the statistics by SAS for Windows Release 8.01. The result of this study was as follows. 1. This study included total 740 nurses, whose age ranged from 22 to 50; 30 years old by average. Nurses fatigue mean score was 90.24 (the scope by the measuring instrument is 19-133). Nurses at University Hospitals marked 92.36 and those at General Hospitals marked 87.91 in the mean score of fatigue. 2. They kept tired at work, and felt more tired while working at computer in the hospital. 3. The part of body in which they felt fatigue was the calf and $feet(36.6\%)$, the shoulders and back of the $neck(30.7\%)$, and the whole $body(10.8\%)$ and the reason that they felt tired at work was mental $stress(33.0\%)$, overworking(25.2\%)$, and irregular working $conditions(14.7\%)$ in order. 4. The solution to their fatigue at work appeared nothing by $50.1\%$, and the way of releasing fatigue after work indicated getting some $sleep(30.8\%)$, and taking a bath or a $shower(21.7\%)$ in order. 5. The degree of fatigue depending on whether they were satisfied with their pay and labor condition appeared low: and when they were satisfied with doctors. and when they were getting on well with caregivers. 6. The effective factor of the degree of fatigue appeared: the influence that fatigue in the hospital makes on daily life was $10.6\%$, the cause of fatigue at work, $9.3\%$, time of fatigue at work, $7.8\%$, the relationship with caregivers, $5.3\%$. and these explanatory$(R^2)$ variables.$33\%$. To conclude. the degree of nurses' fatigue appeared high. and it was higher in nurses at University Hospitals than in ones at General Hospitals. In addition, the influence that fatigue from the hospitals made on daily life was the most explanatory.