鑒於EMBA碩士在職專班之高階經理人，皆為經常久坐不動、缺乏運動、應酬多的族群，為心血管疾病之高風險族群。故本論文研究將以EMBA高階經理人為對象，擬定減重方案，並透過網路即時通訊(Line)及社群網站(Facebook)之輔助，協助學員達到飲食及運動等生活型態之改變。更進一步探討減重方案介入後，影響學員行為改變以及影響減重成效之關鍵因素。同時探討持續課程介入，是否影響復胖結果等。
本研究主要採用質性研究方法，做為進一步的分析依據，受訪者共計10名，研究者透過半結構式深度訪談方式，經由雙方互動過程中，引導受訪者表達內心真實感受。針對基本人口學及生活型態部分則採取結構式問卷調查分析。
研究證明，在減重成效方面:十週減重計畫介入後，全員平均減重8.54±3.33公斤，BMI平均降低2.95±1.16 kg/m2。在訪談結果部分:一、減重方案成功的最主要關鍵因素，依序為「領導者暨管理」、「團隊氛圍」、「自制力」、「知識改變」。二、學員最大的收獲及學習為「獲得正確減重知識」。三、持續的減重方案介入，有助於降低復胖率的發生。四、每日測量體重之學員，其體重維持效果優於其他學員。五、利用Line進行減重方案介入，藉由其即時、方便、互動性佳等功能，在疫情期間，透過遠距線上施行，減少社交接觸，降低感染風險，此一減重模式不僅參與者接受度高且成效佳，也可被廣為推展。此研究結果，希望未來能提供後續進一步學術理論之驗證。

Considering that the managers in the EMBA tend to be sedentary, lack exercise, and consume alcohol, they are a high-risk group for cardiovascular diseases. Therefore, this thesis formulated a weight loss plan for EMBA students, and through the assistance of Internet instant messaging (Line) and social networking sites (Facebook), helped these students achieve lifestyle changes, such as diet and regular exercise. Further, the key factors that affect the behavioral changes of the participants and the maintenance of weight loss after the intervention are explored. In addition, whether continuous interventions affect the probability of weight re-gain is also discussed.
This study mainly adopted a qualitative research method as the basis of further analysis. Ten participants were recruited and formally interviewed with semi-structured questions. Data was also gathered through the interaction process. To collect demographics and lifestyle information, a structured questionnaire survey was employed.
Results show that after the intervention of the ten-week weight loss program, the average weight loss of all students was 8.54±3.33 kg, and the average BMI was reduced by 2.95±1.16 kg/m2. From the interview results., it was found that the most important factors for the success of the weight loss program were "leadership and management", "team climate", "self-control", and "knowledge change". In addition, the biggest gain and learning for the students was reported as "acquiring correct weight loss knowledge". Taken together, this indicates that a continuous weight loss program would help reduce the occurrence of obesity. Further, the weight maintenance effect of the students whose weight was measured every day was better than that of the control group. To achieve continuous monitoring, a social media application, Line, was employed to in the weight loss program. With its instant, convenient, and interactive features, Line was implemented remotely during the pandemic and online to reduce social contact and the risk of infection. This weight loss model was not only highly accepted by participants and achieved good effects, it can also be distributed widely. It is hoped that the results of this study can provide further verification of weight loss theories in the future.

Abdelaal, M., C. W. le Roux, and N. G. Docherty. (2017). Morbidity and mortality associated with obesity. Annals of Translational Medicine, 5.
Afshin, A., M. H. Forouzanfar, M. B. Reitsma, P. Sur, K. Estep, A. Lee, et al. (2017). Health Effects of Overweight and Obesity in 195 Countries over 25 Years. New England Journal of Medicine, 377: 13-27.
Baranowski, T., K. W. Cullen, T. Nicklas, D. Thompson, and J. Baranowski. (2003). Are current health behavioral change models helpful in guiding prevention of weight gain efforts?. Obes Res, 11 Suppl: 23S-43S.
Centers for Disease Control and Prevention (2022).https://www.cdc.gov/cancer/obesity/index.htm
Curioni, C. C., P. M. Lourenco. (2005). Long-term weight loss after diet and exercise: a systematic review. Int J Obes (Lond), 29: 1168-74.
Donnelly, J. E., B. Smith, D. J. Jacobsen, E. Kirk, K. DuBose, M. Hyder, B. Bailey, and R. Washburn. (2004). The role of exercise for weight loss and maintenance. Best Practice & Research Clinical Gastroenterology, 18: 1009-29.
Goldstein, D. J. (1992). Beneficial Health-Effects of Modest Weight-Loss. International Journal of Obesity, 16: 397-415.
Guglielmo Beccuti and Silvana Pannain.( 2011). Sleep and obesity. Curr Opin Clin Nutr Metab Care. 2011 Jul; 14(4): 402–412.
He, C., S. Y. Wu, Y. Y. Zhao, Z. Li, Y. Y. Zhang, J. Le, L. Wang, S. Y. Wan, C. Q. Li, Y. D. Li, and X. Y. Sun. 2017. 'Social Media-Promoted Weight Loss Among an Occupational Population: Cohort Study Using a WeChat Mobile Phone App-Based Campaign', Journal of Medical Internet Research, 19.
Khaylis, A., T. Yiaslas, J. Bergstrom, and C. Gore-Felton. (2010). A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components. Telemedicine Journal and E-Health, 16: 931-38.
MacLean, P. S., A. Bergouignan, M. A. Cornier, and M. R. Jackman. (2011). Biology's response to dieting: the impetus for weight regain. American Journal of Physiology-Regulatory Integrative and Comparative Physiology, 301: R581-R600.
MacLeod, L. 2012. 'Making SMART goals smarter', Physician Exec, 38: 68-70, 72.
Mokdad, A. H., E. S. Ford, B. A. Bowman, W. H. Dietz, F. Vinicor, V. S. Bales, and J. S. Marks. (2003).Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001, Jama-Journal of the American Medical Association, 289: 76-79.
Napolitano, M. A., S. Hayes, G. G. Bennett, A. K. Ives, and G. D. Foster. (2013). 'Using Facebook and Text Messaging to Deliver a Weight Loss Program to College Students', Obesity, 21: 25-31.
Ogilvie, R. P., and S. R. Patel. (2017). The epidemiology of sleep and obesity. Sleep Health, 3: 383-88.
Pan, W. H., W. T. Yeh, H. J. Chen, S. Y. Chuang, H. Y. Chang, L. Chen, and M. L. Wahlqvist. (2012). The U-shaped relationship between BMI and all-cause mortality contrasts with a progressive increase in medical expenditure: a prospective cohort study. Asia Pacific Journal of Clinical Nutrition, 21: 577-87.
Philip, W., James, T. (1998). What are the health risks? The medical consequences of obesity and its health risks. Experimental and Clinical Endocrinology & Diabetes, 106(2),1-6.
Patel, S. R., and F. B. Hu (2008). Short sleep duration and weight gain: A systematic review. Obesity, 16: 643-53.
Peter Ferdinand Drucke (2006). The practice of management. HarperBusiness.
Talha Burki (2021). European Commission classifies obesity as a chronic disease. Lancet Diabetes & Endocrinology, 9(7), 418-418
VanWormer, J. J., J. A. Linde, L. J. Harnack, S. D. Stovitz, and R. W. Jeffery. (2012). Self-Weighing Frequency Is Associated with Weight Gain Prevention over 2 Years Among Working Adults. International Journal of Behavioral Medicine, 19: 351-58.
WHO (2021). Retrieved from https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
王信淵、謝佳容、李光武。(2015)。 '各類減重方式成效之探討', 海峽兩岸體育研究學報, 9: 101-11.
何忠鋒(2001)。十二周健走運動與飲食控制計畫對停經婦女身體組成及血脂肪的影響。體育學報，32，11-24。
兒童福利聯盟（2022）。2022年臺灣國高中生飲食習慣調查結果。摘自:https://www.children.org.tw/publication_research/research_report/2484
吳雅歌、林秋菊 (2011)。生活型態改變對一位肥胖患者減重之成效。 護理雜誌,58: 99-105.
姜明凱、楊宜青、吳晉祥、孫子傑、張尹凡、盧豐華、張智仁 (2008)。 台灣地區成人睡眠時數與肥胖的相關性研究。台灣家庭醫學雜誌，18: 199-209.
林佩瑩、林夢蕙、張家臻、董貞吟、郭怡君 (2021)。消防員測量體重頻率與身體質量指數之相關性。北市醫學雜誌。
張子智 (2004)。影響過重及肥胖成人減重行為之相關因素研究。臺北醫學大學。
陳向明 (2002)。社會科學質的研究。台北市:五南。
陳鴻基 (2005)。即時通訊軟體對知識分享成效之影響。國立清華大學。
國民營養健康狀況變遷調查成果報告2017-2020年。摘自:https://www.hpa.gov.tw/File/Attach/15562/File_18775.pdf
張水秀(2002)。社區成人體重控制班之成效分析。大葉大學。
黃玉（2000）。在團體中成長:團體動力運用與社團活動指導 。高中教育，10，7-14。
黃喬煜 (2020)。針對過重或肥胖病人利用社群網站輔助進行減重行為改變介入–隨機對照研究。國立臺灣大學。
黃慧儀、劉潔心(2019)。影響成人減重成效之相關因素研究－以某營養諮詢機構會員為例。健康促進暨衛生教育雜誌。(43)，1-21。
葛新路、董貞吟 (2013)。醫院員工接受體重管理計畫介入之成效研究。健康促進與衛生教育學報，53-85。
葉清華(2009)。減重課程介入實施成效分析與追蹤評估。大專體育學刊11(1)，93-104。
鄒孟婷( 2009)。靜態作息與肥胖－臺灣2002年”國民健康促進知識、態度與行爲調查之研究”。台灣家庭醫學雜誌，19: 113-27.
衛生福利部國民健康署。BMI測試。摘自:https://health99.hpa.gov.tw/onlineQuiz/bmi
衛生福利部國民健康署(2016)。控制體重恢復身材可減少心臟病風險。摘自:https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=1131&pid=2314
衛生福利部國民健康署 (2018)。成人肥胖防治實證指引。摘自:https://www.hpa.gov.tw/File/Attach/10042/File_12271.pdf
衛生福利部統計處(2022)。110年國人死因統計結果。摘自:https://www.mohw.gov.tw/cp-16-70314-1.html