근로자의 삶의 질 예측모형
A Predictive Model of Workers' Quality of Life
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초록
목적 : 본 연구는 우리나라 대전지역 근로자의 삶의 질을 예측, 설명할 수 있는 모형을 제시하고 검증하기 위하여 수행되었다. 방법 : 대전지역 근로자 총 901명을 대상으로 설문조사를 시행하였다. 설문지는 수정된 PRECEDE 모델에 근거하여 9개의 측정변수(안전문화, 자기효능감, 보건관리자의 활동정도, 산업보건관련 지식, 연령, 건강증진행위, 물리적 환경, 건강 수준, 삶의 질)로 구성되었다. 수집된 자료는 SPSS/WIN 15와 AMOS 6.01를 이용하여 분석하였다. 결과 : 모형에 따르면, 근로자의 삶의 질은 행위요인, 환경요인, 건강수준에 의해 직접적인 영향을 받고, 생물학적 요인, 성향요인, 강화요인, 가능요인에 의해 간접적인 영향을 받는 것으로 나타났다. 제안된 모형의 GFI=.93, AGFI=.99, NFI=.98, RMSEA=.13으로 나타나 모형의 적합도와 간명도가 적절하였다. 결론 : 본 연구의 결과는 근로자의 삶의 질을 향상시키기 위한 효과적인 간호전략을 개발하는데 기초자료가 될 수 있다.
Abstract
Purpose: The purpose of this study was to propose and to test a predictive model that could explain the workers' quality of life. Methods: Data were collected using self-report questionnaires from 901 workers in Daejeon, Korea. The questionnaires included nine measured variables(safety culture, self-efficacy, activity of occupational health provider, knowledge in occupational health, age, health promotion behavior, workplace environment, health level, and quality of life), as revised PRECEDE model has suggested. The collected data were analyzed using SPSS/WIN 15 and AMOS 6.01 version. Results: Based on the constructed model, behavior, environment, and health were found to have significant direct effect on quality of life. Indirect factors were perceived biological, predisposing, reinforcing, and enabling. The proposed model was concise and extensive in predicting quality of life of the participants. The final modified model yielded GFI=.85, AGFI=.89, NFI=.79, and RMSEA=.11 and exhibited good fit indices. Conclusion: Findings of this study may contribute to development of effective nursing interventions for promoting quality of life in workers.
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