緒論:人口老化已成為全球關切的議題,2014年教育部體育署首次針對65歲以上樂活族進行國民體適能檢測,為瞭解目前樂活族國民體適能狀況;此外,營養是決定身體快樂的關鍵,因此本研究目的主要進一步探討樂活族國民體適能與身體快樂訊息兩者之間關係為何。方法:本研究以新竹縣為研究範圍,研究對象為65歲以上健康樂活族為主,利用教育部體育署國民體適能檢測紀錄表(65歲以上適用)之問卷,共分為三個部分,包括:體適能檢測結果紀錄表、樂活族基本資料與身體快樂訊息,預計施測對象共計200人,實際回收有效問卷157份,有效率為78.5%,本研究利用SPSS 22.0版套裝軟體進行各項資料統計分析,包括:敘述統計分析、效度分析、信度分析、相關分析、迴歸分析檢定與共同變異檢定。結果:樂活族BMI、下肢肌力、上肢肌力、心肺功能、動態平衡與敏捷性和身體快樂訊息具正向相關。結論:本研究結果進一步指出樂活族國民體適能可以預測身體快樂訊息。
Introduction: An aging population has become a global concern issue. To understand the current physical fitness condition of LOHAS in Taiwan, in 2014, the Ministry of Education Sports Department, for the first time, conducted a national physical fitness test for LOHAS aged 65 and above. Although nutrition is a key factor to the physical happiness, the researcher wanted to further explore the relationship between the physical fitness condition and the physical happiness of LOHAS in HsinChu County of Taiwan. The research methods adopted were as follows: (1) demographical area of study: Hsinchu County; and (2) demographical subject of study: healthy LOHAS aged 65 and above. This study contains three parts based on the questionnaire of National Physical Fitness Test Record (for those aged 65 and above) conducted by the Sports Department of the Ministry of Education. The three parts of this study are as followings: (1) Body fitness test results record, (2) Basic information, and (3) The physical happiness message scale. It is estimated that the total number of subjects to be tested is 200, and 157 valid questionnaires were actually collected, with an effective rate was 78.5%. In this study, SPSS 22.0 was adopted to analyze the data, including: Statistical Analysis, Validity Analysis, Reliability Analysis, Correlation Analysis, Regression Analysis, and Common Variation Test. Results: Unstandardized LOHAS BMI, lower limb muscle strength, upper limb muscle strength, cardiopulmonary function, dynamic balance, and agility were positively significantly associated with physical happiness messages. Conclusion: This study of LOHAS can be used as predictions of the physical happiness messages.