本研究目的旨在探討高齡體適能學習導入智慧健康科技應用，對預防、改善慢性病及功能性體適能之成效分析。方法：以招募120位平均74歲以上之社區高齡者為對象。採依序平衡處理原則，將受試者分為規律運動組40名、智慧運動組40名及控制組40名。規律運動組由專業運動人員指導，進行10週，每週3天、每天60分鐘中等強度的有氧、阻力、柔軟度、平衡4種多元性分別式運動介入。智慧運動組導入智慧科技，由線上AI教練指導，進行10週，每週3次，每次60分鐘中等強度的有氧、阻力、柔軟度、平衡4種多元性混合式運動介入，並將每次運動完整之數據上傳至受試者手機APP管理系統，以提供受試者掌握自身的運動狀況。控制組則維持正常生活沒有任何運動介入。並於實驗前後進行體重、體脂率、肌肉量、骨量、收縮壓、舒張壓、空腹血糖等七項慢性病指標及30秒坐姿起立、30秒手臂彎舉、2分鐘原地抬膝、坐椅前彎、睜眼單腳站立、抓背、2.44公尺繞行等七項功能性體適能測量作為前後分析資料。結果顯示：規律運動組在上肢柔軟度、下肢柔軟度明顯優於智慧運動組；而智慧運動組則在收縮壓、舒張壓、空腹血糖及心肺耐力明顯優於規律運動組；控制組在10週未介入運動下，空腹血糖、心肺耐力會產生明顯升高及退步。結論：高齡導入智慧科技作為自我監控和資訊反饋的體適能學習方式，在收縮壓、舒張壓、空腹血糖及心肺耐力上可獲得較佳的改善成效。

This research explored the application of smart-health technology on physical fitness learning for senior citizens. We analyzed the effectiveness of the application of smart-health technology on improving chronic diseases and functional physical fitness among senior citizens. Method: The study recruited one hundred twenty senior citizens from the community whose average age was over 74 years old. We adopted the sequential balancing method in this study and placed 40 senior citizens in the regular exercise group. Professional athletes were assigned to train the regular exercise group. They performed four multi-component exercises, including moderate-intensity aerobic, resistance, softness, and balance. The schedule was set for ten weeks, with three training sessions per week and 60 minutes per training. We placed 40 senior citizens in the smart exercise group. An online AI coach trained them for ten weeks. Each week they trained three times, and each training was 60 minutes. We executed the same four types of mixed exercise of medium-intensity aerobic, resistance, softness, and balance. However, after the exercises, they were asked to upload comprehensive data to the subject’s mobile APP management system for the exercise status analysis. The last forty seniors were in the control group, so they maintained a life without exercise intervention. Before and after the experiment, all seniors were to test on the seven chronic disease indicators such as body weight, body fat percentage, muscle mass, bone mass, systolic blood pressure, diastolic blood pressure, and fasting blood glucose. Furthermore, 30 seconds of sitting up, 30 seconds of arm curls, 2 minutes of knee lifting, sitting on the chair and bending forward, standing on one foot with eyes open, grasping the back, and walking around a 2.44 meters circle were to perform as the seven functional fitness indicators before and after the experiment. The results showed that the regular exercise group's upper extremity softness and lower extremity softness were significantly better than the smart exercise group. However, the smart exercise group was significantly better than the regular exercise group in systolic blood pressure, diastolic blood pressure, fasting blood sugar, and cardiopulmonary endurance. After ten weeks without exercise, the control group's fasting blood glucose and cardiorespiratory endurance significantly increased and regressed, respectively. Conclusion: the elderly who adopted smart technology as a self-monitoring and information feedback physical fitness learning method can obtain better results in improving systolic blood pressure, diastolic blood pressure, fasting blood sugar, and cardiorespiratory endurance.

第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 7
第三節 研究假設 9
第四節 名詞釋義 11
第五節 研究範圍與限制 14
第貳章 文獻探討 15
第一節 高齡化與少子化的發展趨勢 15
第二節 老化與慢性病及功能性體適能之相關文獻 18
第三節 規律運動與慢性病及功能性體適能之相關文獻 21
第四節 智慧運動管理對慢性病及功能性體適能之預期成效 27
第五節 本章小結 32
第參章 研究設計與方法 33
第一節 研究架構 33
第二節 受試對象與基本資料 34
第三節 實驗前準備 35
第四節 實驗流程 44
第五節 運動介入模式 45
第六節 資料蒐集與統計 48
第肆章 研究結果 53
第一節 運動依從性分析 53
第二節 慢性病指標分析 55
第三節 功能性體適能指標分析 61
第四節 本章小結 67
第伍章 討論與結論 69
第一節 討論 69
第二節 結論與建議 80
參考文獻 85
壹、中文文獻 85
貳、英文文獻 89
附錄 97

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