Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial
Introduction Insomnia affects physical and mental health due to the lack of continuous and complete sleep architecture. Polysomnograms (PSGs) are used to record electrical information to perform sleep architecture using deep learning. Although acupuncture combined with cognitive–behavioural therapy...
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BMJ Publishing Group
2022-12-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/12/e063442.full |
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| author | Fanqi Meng Xin Zhou Liming Lu Wenya Pei Te He Pei Yang Xiaozhou Lv Boyu Jiao Yingshuo Yan Liqian Cui Guanheng He Guihua Wen Jingwen Ruan |
| author_facet | Fanqi Meng Xin Zhou Liming Lu Wenya Pei Te He Pei Yang Xiaozhou Lv Boyu Jiao Yingshuo Yan Liqian Cui Guanheng He Guihua Wen Jingwen Ruan |
| author_sort | Fanqi Meng |
| collection | DOAJ |
| description | Introduction Insomnia affects physical and mental health due to the lack of continuous and complete sleep architecture. Polysomnograms (PSGs) are used to record electrical information to perform sleep architecture using deep learning. Although acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) could not only improve sleep quality, solve anxiety, depression but also ameliorate poor sleep habits and detrimental cognition. Therefore, this study will focus on the effects of electroacupuncture combined with CBT-I on sleep architecture with deep learning.Methods and analysis This randomised controlled trial will evaluate the efficacy and effectiveness of electroacupuncture combined with CBT-I in patients with insomnia. Participants will be randomised to receive either electroacupuncture combined with CBT-I or sham acupuncture combined with CBT-I and followed up for 4 weeks. The primary outcome is sleep quality, which is evaluated by the Pittsburgh Sleep Quality Index. The secondary outcome measures include a measurement of depression severity, anxiety, maladaptive cognitions associated with sleep and adverse events. Sleep architecture will be assessed using deep learning on PSGs.Ethics and dissemination This trial has been approved by the institutional review boards and ethics committees of the First Affiliated Hospital of Sun Yat-sun University (2021763). The results will be disseminated through peer-reviewed journals. The results of this trial will be disseminated through peer-reviewed publications and conference abstracts or posters.Trial registration number CTR2100052502. |
| format | Article |
| id | doaj-art-0f6555cd400d4e8f84b6af19fde74505 |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-0f6555cd400d4e8f84b6af19fde745052025-08-20T02:14:44ZengBMJ Publishing GroupBMJ Open2044-60552022-12-01121210.1136/bmjopen-2022-063442Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trialFanqi Meng0Xin Zhou1Liming Lu2Wenya Pei3Te He4Pei Yang5Xiaozhou Lv6Boyu Jiao7Yingshuo Yan8Liqian Cui9Guanheng He10Guihua Wen11Jingwen Ruan121 Department of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China1University of North Carolina Chapel Hill, NC, Chapel Hill, NC, USA6 South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China1 Department of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China2 School of Computer Science and Engineering, South China University of Technology, Guangzhou, China2 School of Computer Science and Engineering, South China University of Technology, Guangzhou, China3 Department of Traditional Chinese Medicine, Zhongshan School of Medicine, Sun Yat-senUniversity, Guangzhou, China1 Department of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China4 Department of Respiratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China5 Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzho, China1 Department of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China2 School of Computer Science and Engineering, South China University of Technology, Guangzhou, China1 Department of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaIntroduction Insomnia affects physical and mental health due to the lack of continuous and complete sleep architecture. Polysomnograms (PSGs) are used to record electrical information to perform sleep architecture using deep learning. Although acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) could not only improve sleep quality, solve anxiety, depression but also ameliorate poor sleep habits and detrimental cognition. Therefore, this study will focus on the effects of electroacupuncture combined with CBT-I on sleep architecture with deep learning.Methods and analysis This randomised controlled trial will evaluate the efficacy and effectiveness of electroacupuncture combined with CBT-I in patients with insomnia. Participants will be randomised to receive either electroacupuncture combined with CBT-I or sham acupuncture combined with CBT-I and followed up for 4 weeks. The primary outcome is sleep quality, which is evaluated by the Pittsburgh Sleep Quality Index. The secondary outcome measures include a measurement of depression severity, anxiety, maladaptive cognitions associated with sleep and adverse events. Sleep architecture will be assessed using deep learning on PSGs.Ethics and dissemination This trial has been approved by the institutional review boards and ethics committees of the First Affiliated Hospital of Sun Yat-sun University (2021763). The results will be disseminated through peer-reviewed journals. The results of this trial will be disseminated through peer-reviewed publications and conference abstracts or posters.Trial registration number CTR2100052502.https://bmjopen.bmj.com/content/12/12/e063442.full |
| spellingShingle | Fanqi Meng Xin Zhou Liming Lu Wenya Pei Te He Pei Yang Xiaozhou Lv Boyu Jiao Yingshuo Yan Liqian Cui Guanheng He Guihua Wen Jingwen Ruan Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial BMJ Open |
| title | Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial |
| title_full | Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial |
| title_fullStr | Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial |
| title_full_unstemmed | Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial |
| title_short | Acupuncture combined with cognitive–behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial |
| title_sort | acupuncture combined with cognitive behavioural therapy for insomnia cbt i in patients with insomnia study protocol for a randomised controlled trial |
| url | https://bmjopen.bmj.com/content/12/12/e063442.full |
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