本研究目的在瞭解進修部學生健康促進生活型態,並探討其個人背景變項、自覺健康狀況與健康促進生活型態的關係及預測因子。以基隆市某技術學院之進修部學生為研究對象,採橫斷式調查法,利用自填問卷方式,取得有效問卷共482份。研究結果發現:一、研究對象之自覺健康狀況介於中等程度以上。自覺目前的健康狀況好者有六成六,自覺與同年齡的人比較健康狀況好者有五成六,但有三成二的人自覺健康狀況愈來愈壞。二、研究對象整體的健康促進生活型態介於中等程度。以人際支持表現最佳,健康責任表現最差。而性別、年齡、婚姻狀況、BMI、工作年資及職位等背景變項與健康促進生活型態有顯著的關係。另外,自覺健康狀況與健康促進生活型態皆呈正相關。三、研究對象的個人背景變項與自覺健康狀況都可以有效的預測健康促進生活型態,並可解釋其總變異量的5~21%;其中「自覺健康狀況」為主要預測變項。
This purpose of this study is to understand the health-promoting lifestyles of students who are studying in the Continuation Department and explore the relationship between health-promoting lifestyle and their personal background variables as well as health. In addition, this study also examines the predictive factors of a health-promoting lifestyle. The subjects of this study were students from the Continuation Department at an institute of technology in Keelung. A Cross-sectional survey method was utilized by using self-administered questionnaires. A total of 482 valid questionnaires were collected. The results are summarized below:1. The perceived health status of the students fall above moderate status. Students who think that they currently have good health account for 66% of the collected data. When compared with people of the same age, students who think that they currently have good health condition account for 56% of the data. However, 32% of these students think that their health conditions are getting worse.2. The overall quality of health-promoting lifestyle of the students is moderate. Interpersonal support had the best performance, followed by self-realization, stress management, and nutrition and exercise behavior. Health responsibility had the worst performance. Background variables such as gender, age, marital status, BMI, work seniority, and job position are significantly related to health-promoting lifestyles. In addition, both ”self-conscious health condition” and ”health-promoting lifestyle” show a positive correlation.3. The Students' background variables and perceived health can be used to effectively predict health-promoting lifestyles, and it can explain 5% to 21% of the total variance. Among these variables, ”self-conscious health condition” is the main predictor variable.