政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141498
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 114205/145239 (79%)
造访人次 : 52897512      在线人数 : 956
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 理學院 > 心理學系 > 期刊論文 >  Item 140.119/141498


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/141498


    题名: 366 Predictors of dropout in university students participating in an 8-week e-mail based cognitive behavioral therapy for insomnia
    作者: 楊建銘
    Yang, Chien-Ming
    Nam, Hyojin;Chang, Jinyoung;Manber, Rachel;Trockel, Mickey;Okajima, Isa;Li, Shirley;Suh, Sooyeon
    贡献者: 心理系
    日期: 2021-05
    上传时间: 2022-08-23 15:08:17 (UTC+8)
    摘要: Introduction: As dropout from treatment potentially diminishes its therapeutic effect and poses clinical concern, it is important to find out which characteristics of participants are suitable for online-based treatment. Therefore, we aimed to identify factors that predicted a dropout in the e-mail based cognitive behavioral therapy (REFRESH) developed by Stanford University for the purpose of psychological intervention for insomnia.
    Methods: Participants who participated in the REFRESH program consisted of 158 university and graduate students aged 18 to 30 in Hong Kong and Korea who scored higher than 10 on the Insomnia Severity Index (ISI), and the intervention was delivered in 8 weekly sessions sent via weekly e-mails. Among them, 110 were women (70%) and the average age was 22 (±2.71) years old. All participants were asked to answer the following self-reporting questionnaires before and after the intervention: Insomnia Severity Index; ISI, Depression Anxiety Stress Scale 21; DASS-21, Sleep Hygiene Practice Scale; SHPS, Dysfunctional Beliefs and Attitude about Sleep 16; DBAS-16. Descriptive statistics and ROC decision tree analysis were conducted to address our aim.
    Results: Of the 158 participants, 68 completed the program, and 90 participants (57%) dropped out. The best predictor of dropout was DASS score with an optimal cup-point of <34. Of the 107 participants who reported DASS <30, 70(65.4%) dropped out. In contrast, of the 50 participants who reported DASS ≥34, 12(38%) dropped out. The second-level predictor was expectations for sleep score with a cut-point of <18. Among participants with DASS <34 and expectations for sleep score <18, 57(73.1%) dropped out. Of the 29 participants who reported DASS <34 and expectations for sleep score ≥18, 13(44.8%) dropped out.
    Conclusion: Mild levels of depression, anxiety and stress and expectations for sleep appear to be predictive of dropout in an e-mail based intervention. People with mild symptoms may experience less distress and impairment, which may result in lower motivation to receive treatment. This may lead to inability to complete treatment and higher rates of dropout.
    關聯: Sleep, 44(Supplement 2), pp. A145-A146
    数据类型: article
    DOI 連結: https://doi.org/10.1093/sleep/zsab072.365
    DOI: 10.1093/sleep/zsab072.365
    显示于类别:[心理學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML2297检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈