[[alternative]]A study of the relationship between well-being and health-promoting lifestyle in hospital elderly volunteers

[[abstract]]本研究目的在了解醫院老年志工健康促進生活型態的現況；經由比較不同背景變項的差異情形，探討健康促進生活型態與幸福感間之相關，並進一步建立健康促進生活型態對幸福感的預測情形。本研究採問卷調查法，以臺北市某醫院55歲(含)以上之志工為研究目標群體，採立意取樣方式，共取得400位有效樣本。研究工具包括「幸福感量表」、「健康促進生活型態量表」、「社會人口學變項」等結構式問卷。所得資料以描述性統計、獨立樣本t 檢定、皮爾森積差相關分析、單因子變異數分析、階層式迴歸分析等統計方法進行分析。研究結果歸納如下：(一)幸福感會受到經濟狀況、自覺健康狀況背景因素的不同而有明顯的差異。(二)健康促進生活型態會受到自覺健康狀況背景因素的不同而有明顯的差異。(三)在健康促進生活型態各分量表平均得分最高為「人際支持」，最低的是「運動休閒」。(四)健康促進生活型態與幸福感各層面之間有顯著正相關。(五)社會人口學變項的「自覺健康狀況」為幸福感的預測因子，共可解釋21％的變異量；健康促進生活型態變項的「自我實現」層面，為幸福感的預測因子，共可解釋32％的變異量。本研究結果期望能提供相關機構及政策單位在健康促進生活型態與幸福感策略上之參考。[[abstract]]The purpose of this study is to survey current status of health-promoting lifestyle in hospital elderly volunteers; by comparing the differences in various items of their background, the relationship between well-being and health-promoting lifestyle was explored, and the prediction of well-being based on health-promoting lifestyle was established.Questionnaire survey was adopted in this study, hospital volunteers with age over 55 years were invited, and 400 valid data were obtained by purposive sampling. Tools used in this study were structured questionnaires, such as "well-being scales", "health- promoting lifestyle profile", and "social demographic variables". Data were analyzed by descriptive statistics, independent t test, Pearson’s correlation, one-way ANOVA, and hierarchical regression analysis.The results are summarized as follows: (1) “economic status” and “perceived health status” as background factors made significant differences on well-being (2) “perceived health status” as a background factor made a significant difference on health-promoting lifestyle. (3) among various items in the health-promoting lifestyle profile, “interpersonal support” got the highest average score, “sports & leisure” got the lowest average score. (4) health-promoting lifestyle had a significant correlation with all the variances in well-being scales. (5) perceived health status in social demographic variables is a predicting factor for well-being, responsible for 21% variances; and self-achievement in health- promoting lifestyle profile is a predicting factor for well-being, responsible for 32% variances.Hope that the results in this study may provide the relevant institutions and authorities a reference in making strategies about health-promoting lifestyle and well-being