由於醫學發達，邁向高齡化社會已成為世界各國普遍的趨勢。隨著年齡的增長而衍生的肌肉質量和功能喪失為年長者容易發生的肌少症。肌少症會因為年紀增長而自然發生，但也會因為營養缺乏、缺乏運動而發生，也可能因為一些身體器官系統的急、慢性疾病，而加速肌少症的發生；因此肌少症的發生與預防逐漸受到各方的重視。研究顯示適當的訓練與運動對於肌少症的預防及改善有顯著的助益。因此本研究運用Davis於1989年提出之科技接受模型理論(Technology Acceptance Model) 為基礎，並將研究對象之性別、年齡、收入及使用頻率作為調節變項加以分析；以探討熟悉度、 社會影響 、希望感、與樂觀想法以及主觀的認知的有用性、認知易用性、行為意圖與使用者態度對於年長者使用健康器材預防肌少症之意願與行為因素影響。

本研究以結構式問卷進行資料收集，共回收343份有效問卷，採用SPSS 18.0 版與AMOS 21.0 版統計軟體進行信度、效度分析，並使用驗證因素分析(CFA) 在測驗假設性之前驗證測量模型。

本研究經資料分析結果顯示：年齡對使用者態度有正向顯著影響，而性別、收入、使用頻率則否。熟悉度、社會影響和希望感對認知有用性有正向顯著的影響。熟悉度對認知易用性也有正向顯著影響，同時認知有用性、認知易用性對使用者態度有正向顯著影響；而使用者態度對行為意圖亦有正向顯著影響。

關鍵字：科技接受模型、高齡化社會、健康器材、信效度分析

SUMMARY
Sarcopenia and frailty is generally considered to be a result of aging. With the advancement of medical research, it is found that Sarcopenia can be prevented and improved by proper training with special equipment. Therefore, this study is based on Technology Acceptance Model proposed by Davis in 1989, and analyzes gender, age, income, usage frequency as control variables to explore factors affecting behavioral intention of the elderly using health equipment.
This study used structured questionnaires for data collection, and 343 valid questionnaires were collected. SPSS version 18.0 and AMOS version 21.0 statistical software were used for reliability and validity analysis, and confirmatory factor analysis (CFA) was used to verify the measurement before testing hypotheses.
The results of data analysis show that age has a positive and significant effect on attitude towards using, while gender, income, and usage frequency do not. Familiarity, social influence, and hopefulness have positive and significant effects on perceived usefulness. Familiarity also has a positive and significant effect on perceived ease of use, while perceived usefulness and perceived ease of use have a positive and significant effect on attitude towards using; attitude towards using also have a positive and significant effect on behavioral intentions.

Key words: technology acceptance model, aging society, health equipment, reliability and validity analysis

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