| Summary: | 碩士 === 經國管理暨健康學院 === 健康產業管理研究所 === 98 === The main purpose of this study was to understand the health promotion lifestyle, burnout and health-related quality of life among police station chiefs, and explore the influence of demographic variables on health-promoting lifestyle, burnout and health-related quality of life, and indentify the predictors of burnout and health-related quality of life. A cross-sectional design was adopted and a self-administered questionnaire survey was conducted among 446 police station chiefs working in Taipei City, Taipei County, Taichung City, Taichung County, Tainan City, Tainan County, Kaohsiung County and Kaohsiung City. A total of 446 questionnaires were delivered and 399 valid samples were collected, which equals to 89.5% of the data collected. The results are as follows:
(1) The highest score of health-promoting lifestyle was interpersonal support, and the lowest was health responsibility, as to Taipei County police station chiefs were the implementation of the worst case.
(2) The mean score of police station chiefs of personal fatigue was 45.58, work fatigue was 39.15, both were higher than the national averages of general employees, as to Taipei County Police station chiefs were at high risk of burnout.
(3) The mean score of health-related quality of life was 53.74, which represents a moderate level of quality of life (as compared to 80). The highest score was social relationships, and the lowest was psychological domain, as to the health-related quality of life , Taipei County police station chiefs feeling the worst .
(4) Significant differences existed among different levels of age, police beats, exercise
(5) Significant differences existed among various levels of education, titles, police beats, exercise habits and service areas in terms of burnout.
(6) Significant differences existed among different levels of age, children, police beats, body mass index, and exercise habits in terms of health-related quality of life.
(7) The health-promoting lifestyle had significant negative correlation (r =-.346, p <.01) with burnout and significant positive correlation (r =.655, p <. 01) with health-related quality of life; the burnout had significant negative correlation (r =-.521, p <.01) with health-related quality of life.
(8) Exercise behavior, self-actualization, interpersonal support and nutrition behavior were predictors of burnout. These variables could explain 15.2% of the variance in burnout. Exercise behavior was the best predictor.
(9) Self-actualization, stress management, exercise behavior and nutrition behavior were predictors of health-related quality of life. These variables could explain 46.9% of the variance in health-related quality of life. Self-actualization was the best predictor.
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