RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      중공업 제조업체 근로자의 건강증진행위에 영향을 미치는 요인 = Predictive Factor of Health Promotion Behaviors of Heavey Industrial Workers

      한글로보기

      https://www.riss.kr/link?id=A40010074

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Background Heavy Industrial worker feels suffer mental stresses which are caused by heavy work, noisy environment. Such stresses influence health of the workers negatively. Thus the health promotion policy for heavy industrial workers should be made considering the workers' ways of living. This study attempted to provide basic information for development of the health promotion program for heavy industrial workers by examining predictive factors influencing health promotion behaviors of those workers. Method Data were collected from May 8th to May 27th, 1999 using questionnaires with helps of safety and health managers of the plants. Means for the study included the measurement tool of health promotion behavior provided by Park(1995), the tool of self-efficacy measurement by Suh(1995), the tool of locus of control measurement by Oh(1987), the measurement tool of perceived health state by Park(1995) and the tool of self-esteem measurement by Miller(1995). The collected data were analyzed frequency, percentage, standard deviation, t-test. ANOVA Pearson's Correlation Coefficient, multiple stepwise regression. Result Results are summarized as follows. 1. average score of health promotion behaviors 2.63±0.36(min.:1.68, max. : 3.86). In 5 areas of health promotion behavior, it showed the highest level self-realization 3.10±.42 followed by harmonious interrelationship, 2.78±.40 stress(2.55±.49), exercise and nutrition(2.46±.54), resposibility of health(2.22±.47). 2. Relations between demosociographical facters and health promotion behaviors were showed significant differences according to income(F=3.61, P=.007), age(F=3.85, P=.011). 3. Corelation between perceived factors and health promotion behavior the performance was significantly positive with self-esteem(r=.639, P=.000), and perceived health state(r=.559, P=.00) and self-efficiency(r=.557, p=.000) internal locus of control(r=.309, P=.000), external locus of control(r=.233, P=.000). 4. the Self-esteem 40.8% perceived health state, external locus of control, total carreer, carrer, self-efficacy were identified as predictor variables of health promotion behaviors 60.1%. Conclusion In conclusion, the predictive factor which most influence the performance of health promotion behaviors by heavy industrial workers was self-esteem. To promote the health, therefore, it is necessary to develop the nursing intervention program considering predictor variables identified in this study. Further industrial nurses should play their roles actively to help heavy industrial workers increase their capability of self-management of health.
      번역하기

      Background Heavy Industrial worker feels suffer mental stresses which are caused by heavy work, noisy environment. Such stresses influence health of the workers negatively. Thus the health promotion policy for heavy industrial workers should be made c...

      Background Heavy Industrial worker feels suffer mental stresses which are caused by heavy work, noisy environment. Such stresses influence health of the workers negatively. Thus the health promotion policy for heavy industrial workers should be made considering the workers' ways of living. This study attempted to provide basic information for development of the health promotion program for heavy industrial workers by examining predictive factors influencing health promotion behaviors of those workers. Method Data were collected from May 8th to May 27th, 1999 using questionnaires with helps of safety and health managers of the plants. Means for the study included the measurement tool of health promotion behavior provided by Park(1995), the tool of self-efficacy measurement by Suh(1995), the tool of locus of control measurement by Oh(1987), the measurement tool of perceived health state by Park(1995) and the tool of self-esteem measurement by Miller(1995). The collected data were analyzed frequency, percentage, standard deviation, t-test. ANOVA Pearson's Correlation Coefficient, multiple stepwise regression. Result Results are summarized as follows. 1. average score of health promotion behaviors 2.63±0.36(min.:1.68, max. : 3.86). In 5 areas of health promotion behavior, it showed the highest level self-realization 3.10±.42 followed by harmonious interrelationship, 2.78±.40 stress(2.55±.49), exercise and nutrition(2.46±.54), resposibility of health(2.22±.47). 2. Relations between demosociographical facters and health promotion behaviors were showed significant differences according to income(F=3.61, P=.007), age(F=3.85, P=.011). 3. Corelation between perceived factors and health promotion behavior the performance was significantly positive with self-esteem(r=.639, P=.000), and perceived health state(r=.559, P=.00) and self-efficiency(r=.557, p=.000) internal locus of control(r=.309, P=.000), external locus of control(r=.233, P=.000). 4. the Self-esteem 40.8% perceived health state, external locus of control, total carreer, carrer, self-efficacy were identified as predictor variables of health promotion behaviors 60.1%. Conclusion In conclusion, the predictive factor which most influence the performance of health promotion behaviors by heavy industrial workers was self-esteem. To promote the health, therefore, it is necessary to develop the nursing intervention program considering predictor variables identified in this study. Further industrial nurses should play their roles actively to help heavy industrial workers increase their capability of self-management of health.

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼