公共衛生防疫人員健康促進生活型態及相關因素探討-以某縣市為例

Abstract

以某縣市公共衛生防疫人員為本研究的研究對象，探討其在健康促進生活型態的情形，研究工具係使用個人背景、自覺健康狀態及健康促進生活型態之量表，整體統計樣本共計112名，有效回收率達90.3%，並使用描述性統計的次數分配、百分率、平均值、標準差與推論性統計的單因子變異數分析、皮爾森積差相關及複迴歸方式進行分析統計，進一步了解在個人背景變項、自覺健康狀態與健康促進生活型態的關係，並探討預測健康促進生活型態的因子。本研究調查結果如下： 一、研究對象在自覺健康狀態的程度為中上，普遍對於自己健康狀況的評值有正面的評價。在健康促進生活型態部份，最高分為自我實現、次高為人際支持，最低分為運動。 二、研究對象在個人背景變項中的身體質量指數（BMI）與自覺健康狀態呈現顯著差異。 三、研究對象的健康促進生活型態會因為不同的年齡及教育程度，而呈現顯著差異。 四、研究對象的自覺健康狀態與健康促進生活型態兩者之間呈顯著正相關，表示當研究對象其自覺健康狀態越好時，在健康促進生活型態的執行上會越落實。 五、在個人背景變項中的「年齡」、「教育程度」、「婚姻狀況」及「自覺健康狀態」皆可有效預測健康促進生活型態，且可解釋39.4%的變異量。This study takes the disease control personnel of a county as the research object, exploring the situation in which healthy promoting and lifestyles. The research tools used a scale of social demography, perceived health status, and health-promoting lifestyles. The total sample were 112 persons, and used descriptive Statistics of the frequency allocation percentage, average value , standard Deviation, and inferential statistics of the One-way ANOVA, Pearson's product-moment correlation, multiple regression analysis. To further compare the differences in social demography, perceived health status and health promoting lifestyles, as well as predictors of health promoting lifestyle. The major findings of the study were as follows： 1.The perceived health status of subjects was above the medium degree. Generally, there was a positive evaluation of the evaluation of their health status. In the health-promoting lifestyles, the highest score was the self-realization, the second was the interpersonal support, and exercise of the lowest score. 2.The perceived health status of the subjects were significantly different from body mass index(BMI). 3.The healthy promoting lifestyles of the subjects were significantly different from age and education. 4.The perceived health status and health promoting lifestyles of freshmen were positive correlated. 5.The health promoting lifestyles of the subjects could be predicted by the variables of ages, education, marriage and the perceived health status and explained 39.4% of variance of health life condition.