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  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 公共衛生碩士學位學程
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99838
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor張齡尹zh_TW
dc.contributor.advisorLing-Yin Changen
dc.contributor.author黃啓南zh_TW
dc.contributor.authorChi-Nan Huangen
dc.date.accessioned2025-09-18T16:09:34Z-
dc.date.available2025-09-19-
dc.date.copyright2025-09-18-
dc.date.issued2025-
dc.date.submitted2025-07-14-
dc.identifier.citationAbdeyazdan, Z., Moshgdar, H., & Golshiri, P. (2017). Evaluating the Effect of Lifestyle Education Based on Health Belief Model for Mothers of Obese and Overweight School-age Children on Obesity-Related Behaviors. Iran J Nurs Midwifery Res, 22(3), 248-252. doi:10.4103/1735-9066.208163
Ar-Yuwat, S., Clark, M. J., Hunter, A., & James, K. S. (2013). Determinants of physical activity in primary school students using the health belief model. J Multidiscip Healthc, 6, 119-126. doi:10.2147/JMDH.S40876
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev, 84(2), 191-215. doi:10.1037//0033-295x.84.2.191
Bell, L., Garnett, C., Qian, T., Perski, O., Williamson, E., & Potts, H. W. (2020). Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. J Med Internet Res, 22(12), e23369. doi:10.2196/23369
Birch, L. L., & Ventura, A. K. (2009). Preventing childhood obesity: what works? Int J Obes (Lond), 33 Suppl 1, S74-81. doi:10.1038/ijo.2009.22
Boutelle, K. N., Cafri, G., & Crow, S. J. (2011). Parent-only treatment for childhood obesity: a randomized controlled trial. Obesity (Silver Spring), 19(3), 574-580. doi:10.1038/oby.2010.238
Chen, C. M., Lou, M. F., & Gau, B. S. (2016). Parental Body Mass Index Is Associated With Adolescent Obesity in Taiwan. Res Nurs Health, 39(6), 399-405. doi:10.1002/nur.21746
Chung, C. J., & Huang, Y. G. (2016). Predictive factors for accuracy of perception of parents regarding their overweight or obese children in Taiwan. Asia Pac J Clin Nutr, 25(3), 571-577. doi:10.6133/apjcn.092015.18
Chung, K. H., Chiou, H. Y., & Chen, Y. H. (2015). Psychological and physiological correlates of childhood obesity in Taiwan. Sci Rep, 5, 17439. doi:10.1038/srep17439
Davison, K. K., & Birch, L. L. (2001). Childhood overweight: a contextual model and recommendations for future research. Obes Rev, 2(3), 159-171. doi:10.1046/j.1467-789x.2001.00036.x
Dedeli, O., & Fadiloglu, C. (2011). Development and Evaluation of the Health Belief Model Scale in Obesity. Obezitede Sağlık İnanç Modeli Ölçeği'nin Geliştirilmesi., 10(5), 533-542. doi:10.5455/pmb.20110118022318
Edney, S., Ryan, J. C., Olds, T., Monroe, C., Fraysse, F., Vandelanotte, C., . . . Maher, C. (2019). User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. J Med Internet Res, 21(11), e14645. doi:10.2196/14645
Flora, V., Pamungkasari, E., & Demartoto, A. (2024). Application of Health Belief Model on Obesity Prevention Behavior in Adolescents. Journal of Health Promotion and Behavior, 9, 261-271. doi:10.26911/thejhpb.2024.09.03.08
Gahagan, S. (2016). Overweight and obesity. In R. Kliegman, B. Stanton, I. J. St Geme, & N. Schor (Eds.), Nelson Textbood of Pediatrics (20 ed., pp. 307-316).
Gerards, S. M. P. L., Dagnelie, P. C., Jansen, M. W. J., De Vries, N. K., & Kremers, S. P. J. (2012). Barriers to successful recruitment of parents of overweight children for an obesity prevention intervention: a qualitative study among youth health care professionals. BMC Family Practice, 13(1), 37. doi:10.1186/1471-2296-13-37
Habbab, R. M., & Bhutta, Z. A. (2020). Prevalence and social determinants of overweight and obesity in adolescents in Saudi Arabia: A systematic review. Clin Obes, 10(6), e12400. doi:10.1111/cob.12400
Hales, S., Turner-McGrievy, G. M., Wilcox, S., Fahim, A., Davis, R. E., Huhns, M., & Valafar, H. (2016). Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics, 94, 81-90. doi:https://doi.org/10.1016/j.ijmedinf.2016.07.003
Hsu, Y. W., Liou, T. H., Liou, Y. M., Chen, H. J., & Chien, L. Y. (2016). Measurements and profiles of body weight misperceptions among Taiwanese teenagers: a national survey. Asia Pac J Clin Nutr, 25(1), 108-117. doi:10.6133/apjcn.2016.25.2.08
Jakob, R., Harperink, S., Rudolf, A. M., Fleisch, E., Haug, S., Mair, J. L., . . . Kowatsch, T. (2022). Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. J Med Internet Res, 24(5), e35371. doi:10.2196/35371
Krebs, N. F., & Jacobson, M. S. (2003). Prevention of pediatric overweight and obesity. Pediatrics, 112(2), 424-430. doi:10.1542/peds.112.2.424
Li, Y. F., Lin, S. J., & Chiang, T. L. (2020). Timing of rapid weight gain and its effect on subsequent overweight or obesity in childhood: findings from a longitudinal birth cohort study. BMC Pediatr, 20(1), 293. doi:10.1186/s12887-020-02184-9
Lin, Y. C., Tsai, M. C., Strong, C., Hsieh, Y. P., Lin, C. Y., & Lee, C. S. C. (2020). Exploring Mediation Roles of Child Screen-Viewing between Parental Factors and Child Overweight in Taiwan. Int J Environ Res Public Health, 17(6). doi:10.3390/ijerph17061878
Liou, Y. M., Yang, Y. L., Wang, T. Y., & Huang, C. M. (2015). School lunch, policy, and environment are determinants for preventing childhood obesity: Evidence from a two-year nationwide prospective study. Obes Res Clin Pract, 9(6), 563-572. doi:10.1016/j.orcp.2015.02.012
Lissau, I., & Sorensen, T. I. (1994). Parental neglect during childhood and increased risk of obesity in young adulthood. Lancet, 343(8893), 324-327. doi:10.1016/s0140-6736(94)91163-0
Luhanga, E. T., Hippocrate, A. A. E., Suwa, H., Arakawa, Y., & Yasumoto, K. (2018). Identifying and Evaluating User Requirements for Smartphone Group Fitness Applications. IEEE Access, 6, 3256-3269. doi:10.1109/ACCESS.2018.2793844
McCullough, M. B., Janicke, D., Odar Stough, C., Robson, S., Bolling, C., Zion, C., & Stark, L. (2016). Barriers to Recruitment in Pediatric Obesity Trials: Comparing Opt-in and Opt-out Recruitment Approaches. Journal of Pediatric Psychology, 42(2), 174-185. doi:10.1093/jpepsy/jsw054
O'Connor, E. A., Evans, C. V., Burda, B. U., Walsh, E. S., Eder, M., & Lozano, P. (2017). Screening for Obesity and Intervention for Weight Management in Children and Adolescents: Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA, 317(23), 2427-2444. doi:10.1001/jama.2017.0332
Oliver, A., & Ubel, P. (2014). Nudging the obese: a UK-US consideration. Health Econ Policy Law, 9(3), 329-342. doi:10.1017/s1744133114000103
Park, Y., & Kim, J. (2022). Development and Effect of Child Obesity Management Program by Applied Nudge. Int J Environ Res Public Health, 19(19). doi:10.3390/ijerph191912692
Price, J. C., Santos, H. O., & Bueno, A. A. (2022). The effectiveness of automated digital health solutions at successfully managing obesity and obesity-associated disorders: A PICO-structured investigation. Digit Health, 8, 20552076221091351. doi:10.1177/20552076221091351
Rawl, S. M., Skinner, C. S., Perkins, S. M., Springston, J., Wang, H. L., Russell, K. M., . . . Champion, V. L. (2012). Computer-delivered tailored intervention improves colon cancer screening knowledge and health beliefs of African-Americans. Health Educ Res, 27(5), 868-885. doi:10.1093/her/cys094
Reiter, P. L., Brewer, N. T., Gottlieb, S. L., McRee, A. L., & Smith, J. S. (2009). Parents' health beliefs and HPV vaccination of their adolescent daughters. Soc Sci Med, 69(3), 475-480. doi:10.1016/j.socscimed.2009.05.024
Saghafi-Asl, M., Aliasgharzadeh, S., & Asghari-Jafarabadi, M. (2020). Factors influencing weight management behavior among college students: An application of the Health Belief Model. PLoS One, 15(2), e0228058. doi:10.1371/journal.pone.0228058
Schmied, E. A., Chuang, E., Madanat, H., Moody, J., Ibarra, L., Ortiz, K., . . . Ayala, G. X. (2018). A Qualitative Examination of Parent Engagement in a Family-Based Childhood Obesity Program. Health Promot Pract, 19(6), 905-914. doi:10.1177/1524839918757487
Steele, R. G., Aylward, B. S., Jensen, C. D., Cushing, C. C., Davis, A. M., & Bovaird, J. A. (2012). Comparison of a family-based group intervention for youths with obesity to a brief individual family intervention: a practical clinical trial of positively fit. J Pediatr Psychol, 37(1), 53-63. doi:10.1093/jpepsy/jsr057
Strauss, R. S., & Knight, J. (1999). Influence of the home environment on the development of obesity in children. Pediatrics, 103(6), e85. doi:10.1542/peds.103.6.e85
Webb, J., Peerbux, S., Smittenaar, P., Siddiqui, S., Sherwani, Y., Ahmed, M., . . . Majeed, A. (2020). Preliminary Outcomes of a Digital Therapeutic Intervention for Smoking Cessation in Adult Smokers: Randomized Controlled Trial. JMIR Ment Health, 7(10), e22833. doi:10.2196/22833
Williamson, D. F., Thompson, T. J., Anda, R. F., Dietz, W. H., & Felitti, V. (2002). Body weight and obesity in adults and self-reported abuse in childhood. Int J Obes Relat Metab Disord, 26(8), 1075-1082. doi:10.1038/sj.ijo.0802038
行政院教育部統計處. (2024). 性別統計指標彙總性資料--學生. Retrieved from https://depart.moe.edu.tw/ED4500/cp.aspx?n=DCD2BE18CFAF30D0
陳如瑩, 張芳瑗, & 黃啟南. (2022). Telemedicine in Children with Obesity ---- A New Model of Weight Manage Care. Paper presented at the 臺灣兒科醫學會第250屆學術演講會, Taipei City. https://www.pediatr.org.tw/DB/Agenda/Speech/17.pdf
馮兆康, 吳珈旻, 林川雄, & 張炳華. (2016). 台中市大學生肥胖健康信念與體重控制行為之相關性分析. [Health Belief of Obesity and Weight Control Behavior among College Students in Taichung City]. 運動休閒餐旅研究, 11(2), 108-123. doi:10.29429/jslhr.201606_11(2).06
臺北市政府教育局衛生保健科. (2024). 臺北市113學年度辦理健康促進學校計畫書. 臺北市: 臺北市政府教育局衛生保健科 Retrieved from https://www-ws.gov.taipei/Download.ashx?u=LzAwMS9VcGxvYWQvMzQyL3JlbGZpbGUvMzY5NjcvODkxOTgyOC82NWQ0OTZhZS1iN2I0LTRkMjMtYmQzMS0xODJjOGZlNzJjNDUucGRm&n=6Ie65YyX5biCMTEz5a245bm05bqm6L6m55CG5YGl5bq35L%2bD6YCy5a245qCh6KiI55Wr5pu4LnBkZg%3d%3d&icon=..pdf
衛生福利部國民健康署, & 社團法人臺灣兒科醫學會. (2018). 兒童肥胖防治實證指引. Taipei: 衛生福利部國民健康署.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99838-
dc.description.abstract背景與目的
兒童肥胖是日益嚴峻的公共衛生議題,過去在兒童肥胖醫療介入工作中,面臨家長參與率偏低的挑戰。本研究旨在發展運用通訊軟體LINE官方帳號作為數位媒體衛教平台,輔助提升肥胖兒童家長對兒童肥胖的健康識能,並評估平台中自動推播提醒功能對家長於LINE官方帳號中活動行為的影響,特別是比較「立即推播」與「延遲推播」兩種不同策略的效果。
方法
本研究採隨機對照試驗設計。研究對象為臺北市某醫院公衛計畫中,經校園篩檢達肥胖標準且家長拒絕參與實體門診之國中小學童的家長。家長被隨機分配至「實驗組」(加入LINE官方帳號後立即開始接收為期24週的自動推播衛教訊息)或「對照組」(加入後前12週不接收主動推播,第13週才開始接收推播)。衛教內容依據健康信念模式與巧推理論設計。收集並分析24週研究期間內,兩組LINE官方帳號後台記錄的每日使用者活動數據,包括每日自動提醒率、瀏覽頁面率、操作系統率、點選互動式衛教人數比例及次數機率,並比較各衛教主題的點擊差異。統計方法包含描述性統計、曼·惠特尼U檢定、卡方檢定、Spearman相關性分析及階層迴歸分析。
結果
共招募實驗組49位、對照組45位家長,兩組加入率相似(實驗組17.0% vs. 對照組16.2%)。相關性分析顯示,每日自動提醒率與「點選互動式衛教人數比例」(rs =0.496, p<0.001)及「點選互動式衛教次數比例」(rs =0.484, p<0.001)呈顯著正相關,但與瀏覽頁面率及操作系統率無顯著相關。實驗組家長平均每人點擊互動式衛教資訊次數(5.47次)顯著高於對照組(1.93次)(p<0.001)。階層迴歸分析顯示,組別(也就是推播策略的不同)對於每日提醒率與點擊互動式衛教行為之間的關係具有顯著調節作用(p<0.05),實驗組(立即推播組)的提醒效果優於對照組(延遲推播組)。在衛教主題方面,「飲食衛教」、「運動衛教」、「肥胖與共病症介紹」及「健康體位門診介紹」等主題點擊率較高;且實驗組在「認識體重」、「飲食衛教」、「肥胖與共病症介紹」、「健康體位門診介紹」等類別的點擊率顯著高於對照組(p<0.05)。
結論
本研究證實,運用LINE官方帳號作為數位衛教平台,並結合依據健康行為理論設計的自動推播提醒,可有效提升肥胖兒童家長對相關衛教內容的互動參與。相較於延遲推播,「立即推播」策略更能有效促進家長的互動行為,顯示初期介入與維持使用者關注的重要性。儘管整體招募參與率仍有改善空間,數位媒體工具在兒童肥胖防治的健康識能介入上具有應用潛力。未來可考量優化內容呈現與互動機制,以期提升觸及率與介入成效。
zh_TW
dc.description.abstractBackground and Objectives
Childhood obesity is a growing public health concern, yet traditional medical interventions often face low parental participation rates. This study aimed to develop a digital health education platform using the LINE Official Account (OA) messaging application to enhance health literacy regarding childhood obesity among parents. It also evaluated the impact of automated push notifications within the platform on parental engagement behaviors, specifically comparing the effectiveness of immediate versus delayed push notification strategies.
Methods
A randomized controlled trial (RCT) design was employed. Participants were parents of primary and junior high school students identified as obese through school screenings within a public health program in Taipei, who had declined face-to-face clinic participation. Parents were randomly assigned to either the experimental group (receiving automated push educational messages for 24 weeks immediately upon joining the LINE OA) or the control group (receiving no active push notifications for the first 12 weeks, followed by 12 weeks of push notifications). Educational content was designed based on the Health Belief Model and Nudge theory. Daily user activity data from the LINE OA backend were collected and analyzed over the 24-week study period, including daily automated notification rates, page view rates, system operation rates, the proportion of users clicking interactive educational messages, and the click rate per user. Differences in clicks across various educational topics were also compared. Statistical analyses included descriptive statistics, Mann-Whitney U tests, Chi-square tests, Spearman correlation analysis, and hierarchical regression analysis.
Results
A total of 49 parents were recruited into the experimental group and 45 into the control group. Joining rates were similar between groups (Experimental: 17.0% vs. Control: 16.2%). Correlation analysis revealed that the daily automated notification rate was significantly positively correlated with the proportion of users clicking interactive educational messages (rs =0.496, p<0.001) and the click rate per user (rs=0.484, p<0.001), but not significantly correlated with page view rates or system operation rates. Parents in the experimental group had a significantly higher average number of clicks on interactive educational messages per person (5.47 clicks) compared to the control group (1.93 clicks) (p<0.001). Hierarchical regression analysis indicated that group assignment (notification strategy) significantly moderated the relationship between daily notification rate and engagement behavior (clicks on educational content) (p<0.05), with the immediate push strategy (experimental group) demonstrating a stronger effect than the delayed strategy (control group). Regarding educational topics, "Dietary Guidance," "Exercise Guidance," "Obesity and Comorbidities," and "Healthy Weight Clinic Introduction" received higher click rates. The experimental group showed significantly higher click rates than the control group for categories including "Understanding Body Weight," "Dietary Guidance," "Obesity and Comorbidities," and "Healthy Weight Clinic Introduction" (p<0.05).
Conclusions
This study demonstrates that utilizing the LINE Official Account as a digital health education platform, combined with automated push notifications designed based on health behavior theories, can effectively increase parental engagement with educational content related to childhood obesity. The "immediate push" strategy was more effective in promoting parental interaction than the "delayed push" strategy, highlighting the importance of early intervention and maintaining user attention. Although overall recruitment participation rates require improvement, digital media tools show potential for health literacy interventions in childhood obesity prevention. Future efforts could focus on optimizing content delivery and interactive features to enhance reach and intervention effectiveness.
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dc.description.tableofcontents口試委員會審定書 i
誌謝 ii
中文摘要 iii
Abstract v
第一章 導論(Chapter 1. Introduction) 1
第二章 文獻回顧(Chapter 2. Literature Review) 4
第一節 兒童肥胖的風險因子 4
第二節 影響兒童肥胖介入成效之相關因素 5
第三節 健康信念模式之理論介紹 8
第四節 健康信念模式在兒童肥胖介入之應用 9
第五節 巧推原理之內涵與應用 11
第六節 數位工具在醫療與健康促進的應用 12
第三章 方法(Chapter 3. Methods) 14
第一節 研究假說 14
第二節 研究設計 14
第三節 研究對象與流程 15
第二節 研究工具 17
第三節 研究變項 22
第四節 統計分析 28
第四章 結果(Chapter 4. Results) 30
第一節 研究工具的建置 30
第二節 描述性統計 32
第三節 當日自動提醒與使用者操作互動之相關性 35
第四節 實驗組與對照組:延遲推播的效果影響分析 40
第五節 各衛教主題被點擊次數分析 45
第五章 討論(Chapter 5. Discussion) 49
第一節 主要發現 49
第二節 對於肥胖兒童家長的招募率討論 51
第三節 推播提醒與互動行為的關係 53
第四節 即時推播提醒與延遲推播提醒的影響 55
第五節 主題點擊率的差異 56
第六節 研究限制 58
第六章 結論與建議(Chapter 6. Conclusion and Recommendations) 59
第一節 結論 59
第二節 研究貢獻 60
第三節 實務應用與政策建議 61
第四節 未來研究建議 64
參考文獻(References) 67
附錄(Appendix) 71
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dc.language.isozh_TW-
dc.subject兒童肥胖zh_TW
dc.subject健康識能zh_TW
dc.subject數位健康zh_TW
dc.subjectLINE 官方帳號zh_TW
dc.subject健康信念模式zh_TW
dc.subject巧推理論zh_TW
dc.subjectdigital healthen
dc.subjectchildhood obesityen
dc.subjectNudge theoryen
dc.subjectHealth Belief Modelen
dc.subjectLINE Official Accounten
dc.subjecthealth literacyen
dc.title運用數位媒體工具輔助兒童肥胖識能介入 - 工具發展與初步評估zh_TW
dc.titleUtilizing digital media tools to assist health literacy interventions on childhood obesity - Tool development and preliminary evaluationen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee方麗容;黎伊帆zh_TW
dc.contributor.oralexamcommitteeLi-Jung Fang;Yi-Fan Lien
dc.subject.keyword兒童肥胖,健康識能,數位健康,LINE 官方帳號,健康信念模式,巧推理論,zh_TW
dc.subject.keywordchildhood obesity,health literacy,digital health,LINE Official Account,Health Belief Model,Nudge theory,en
dc.relation.page71-
dc.identifier.doi10.6342/NTU202501656-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2025-07-15-
dc.contributor.author-college公共衛生學院-
dc.contributor.author-dept公共衛生碩士學位學程-
dc.date.embargo-lift2027-07-08-
顯示於系所單位:公共衛生碩士學位學程

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