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Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study
BACKGROUND: Digital cognitive behavior therapy for insomnia (dCBT-I) is an effective treatment in alleviating insomnia. This study examined the effect of dCBT-I for improving sleep quality in patients with insomnia complaints from a clinical population in a real-world setting. METHODS: The study inc...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727959/ https://www.ncbi.nlm.nih.gov/pubmed/36474204 http://dx.doi.org/10.1186/s12888-022-04411-2 |
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author | Liang, Sugai Mao, Hongjing Yang, Jingyun Deng, Wei Cao, Bo Yu, Zhenghe Yang, Lili Xu, You Hu, Nannan Liu, Wenjuan Greenshaw, Andrew J. Li, Tao |
author_facet | Liang, Sugai Mao, Hongjing Yang, Jingyun Deng, Wei Cao, Bo Yu, Zhenghe Yang, Lili Xu, You Hu, Nannan Liu, Wenjuan Greenshaw, Andrew J. Li, Tao |
author_sort | Liang, Sugai |
collection | PubMed |
description | BACKGROUND: Digital cognitive behavior therapy for insomnia (dCBT-I) is an effective treatment in alleviating insomnia. This study examined the effect of dCBT-I for improving sleep quality in patients with insomnia complaints from a clinical population in a real-world setting. METHODS: The study included 6,002 patients aged 18 years and above with primary complaints of dissatisfying sleep from a sleep clinic in a psychiatric hospital from November 2016 to April 2021. Patients were diagnosed with insomnia, anxiety disorders, or anxiety comorbid with insomnia or depression according to ICD-10. A mobile app was developed for self-reported assessment and delivering dCBT-I interventions and treatment prescriptions to participants. The primary outcome was change in global sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). At 8- and 12-week follow-up, 509 patients were reassessed. Data were analyzed with non-parametric tests for repeated measures. RESULTS: Patients treated with dCBT-I monotherapy were younger, with a more frequent family history of insomnia compared to those with medication monotherapy and those with combined dCBT-I and medication therapy. Improvements of sleep quality from baseline to 8-week follow-up were significant in each treatment type. Compared to 8-week follow-up, PSQI scores at 12-week were significantly decreased in the depression group receiving combined therapy and in the anxiety group treated with dCBT-I monotherapy and with combined therapy. A time-by-treatment interaction was detected in anxiety patients indicating differential reduction in PSQI scores over time between different treatment options. CONCLUSION: The current findings suggest dCBT-I is a practical and effective approach for lessening insomnia symptoms, especially for patients with anxiety symptoms suggesting with a more extended intervention period (i.e., 12 weeks). TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR1900022699). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04411-2. |
format | Online Article Text |
id | pubmed-9727959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97279592022-12-08 Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study Liang, Sugai Mao, Hongjing Yang, Jingyun Deng, Wei Cao, Bo Yu, Zhenghe Yang, Lili Xu, You Hu, Nannan Liu, Wenjuan Greenshaw, Andrew J. Li, Tao BMC Psychiatry Research BACKGROUND: Digital cognitive behavior therapy for insomnia (dCBT-I) is an effective treatment in alleviating insomnia. This study examined the effect of dCBT-I for improving sleep quality in patients with insomnia complaints from a clinical population in a real-world setting. METHODS: The study included 6,002 patients aged 18 years and above with primary complaints of dissatisfying sleep from a sleep clinic in a psychiatric hospital from November 2016 to April 2021. Patients were diagnosed with insomnia, anxiety disorders, or anxiety comorbid with insomnia or depression according to ICD-10. A mobile app was developed for self-reported assessment and delivering dCBT-I interventions and treatment prescriptions to participants. The primary outcome was change in global sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). At 8- and 12-week follow-up, 509 patients were reassessed. Data were analyzed with non-parametric tests for repeated measures. RESULTS: Patients treated with dCBT-I monotherapy were younger, with a more frequent family history of insomnia compared to those with medication monotherapy and those with combined dCBT-I and medication therapy. Improvements of sleep quality from baseline to 8-week follow-up were significant in each treatment type. Compared to 8-week follow-up, PSQI scores at 12-week were significantly decreased in the depression group receiving combined therapy and in the anxiety group treated with dCBT-I monotherapy and with combined therapy. A time-by-treatment interaction was detected in anxiety patients indicating differential reduction in PSQI scores over time between different treatment options. CONCLUSION: The current findings suggest dCBT-I is a practical and effective approach for lessening insomnia symptoms, especially for patients with anxiety symptoms suggesting with a more extended intervention period (i.e., 12 weeks). TRIAL REGISTRATION: Chinese Clinical Trial Registry (ChiCTR1900022699). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04411-2. BioMed Central 2022-12-06 /pmc/articles/PMC9727959/ /pubmed/36474204 http://dx.doi.org/10.1186/s12888-022-04411-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liang, Sugai Mao, Hongjing Yang, Jingyun Deng, Wei Cao, Bo Yu, Zhenghe Yang, Lili Xu, You Hu, Nannan Liu, Wenjuan Greenshaw, Andrew J. Li, Tao Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title | Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title_full | Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title_fullStr | Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title_full_unstemmed | Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title_short | Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
title_sort | digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727959/ https://www.ncbi.nlm.nih.gov/pubmed/36474204 http://dx.doi.org/10.1186/s12888-022-04411-2 |
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