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失眠症状改善顺序及智能手机CBT治疗失眠患者疗效影响因素分析
Authors Wei J, Song M , Mao HJ, Qi R, Yang L, Xu Y , Yan P , Hu L
Received 24 July 2024
Accepted for publication 10 September 2024
Published 13 September 2024 Volume 2024:16 Pages 1365—1376
DOI https://doi.org/10.2147/NSS.S486288
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Ahmed BaHammam
Jia Wei,1,* Mingfen Song,1,* Hong Jing Mao,1 Ruobing Qi,1 Lili Yang,1 You Xu,1 Pan Yan,1 Linlin Hu2
1Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People’s Republic of China; 2Sleep Medicine Center, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310013, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Hong Jing Mao, Email maohongjing@hz7hospital.com
Background: The effectiveness of medication combined with smartphone-delivered cognitive behavioral therapy for insomnia (CBT-I) has been well verified, but there are few studies on the sequence of remission of insomnia symptoms. This study aims to understand the sequence of symptom improvement and the factors influencing the treatment effectiveness in patients with insomnia.
Methods: Smartphone-delivered CBT, as a form of Online CBT, allows for training through mobile devices at any time and place. We utilized the Good Sleep 365 app to conduct a survey, involving 2820 patients who met the baseline inclusion criteria. These patients were assessed using a general demographic questionnaire and the Pittsburgh Sleep Quality Index (PSQI) to evaluate general demographic information and insomnia symptoms, and subsequently underwent CBT training using the Good Sleep 365 app. A total of 1179 patients completed follow-ups at 4 weeks, 8 weeks, 16 weeks, and 24 weeks.
Results: At 4 weeks and 8 weeks, the descending order of the reduction rates of PSQI components (excluding component 6: use of sleeping medication) was: sleep latency, subjective sleep quality, sleep efficiency, sleep disturbance, sleep maintenance, and daytime dysfunction. At 16 weeks and 24 weeks, the descending order was subjective sleep quality, sleep latency, sleep efficiency, daytime dysfunction, sleep maintenance, and sleep disturbance. There were significant differences in the reduction rates of PSQI components (excluding component 6: use of sleeping medication) both at the same follow-up times and at different follow-up times (all P< 0.05). Multivariable logistic regression analysis showed that patients older than 30 years and those with a college degree or above had better treatment outcomes, whereas those with a disease duration of more than three years had worse outcomes.
Conclusion: The sequence of symptom improvement in patients with insomnia changes over time, and age, educational level, and duration of disease are factors influencing treatment outcomes.
Keywords: insomnia, CBT-I, PSQI, influencing factors