{"title":"与失眠认知行为疗法治疗反应相关的临床人口学因素。","authors":"Ayana Hotchi, Wataru Yamadera, Masayuki Iwashita, Tomohiro Utsumi, Misato Amagai, Sakumi Nakamura, Takako Suzuki, Masahiro Shigeta","doi":"10.1186/s13030-024-00308-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cognitive behavioral therapy for insomnia (CBT-I) is among the recommended non-pharmacological treatments for patients with insomnia. While there are multiple reports on the effects of CBT-I treatment, few studies evaluating the factors associated with the treatment response to CBT-I have been reported. The present study aimed to confirm the effects of CBT-I in patients with insomnia and to examine the clinico-demographic factors that can predict the outcomes of CBT-I in these patients.</p><p><strong>Methods: </strong>Overall, 62 patients were included in the present study. To confirm the effectiveness of CBT-I, we compared the pre- and post-CBT-I therapy values of several sleep parameters. Furthermore, to identify the clinico-demographic factors that could be predictive of the treatment response to CBT-I, we performed generalized linear model (GLM) analysis.</p><p><strong>Results: </strong>The values of several sleep parameters were significantly lower after treatment than at baseline. The results of the GLM analysis revealed that sex and occupation were significantly associated with the treatment response to CBT-I.</p><p><strong>Conclusions: </strong>The present results suggest that several clinico-demographic factors should be considered in the treatment of patients with insomnia.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11100051/pdf/","citationCount":"0","resultStr":"{\"title\":\"Clinico-demographic factors associated with the treatment response to cognitive behavioral therapy for insomnia.\",\"authors\":\"Ayana Hotchi, Wataru Yamadera, Masayuki Iwashita, Tomohiro Utsumi, Misato Amagai, Sakumi Nakamura, Takako Suzuki, Masahiro Shigeta\",\"doi\":\"10.1186/s13030-024-00308-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Cognitive behavioral therapy for insomnia (CBT-I) is among the recommended non-pharmacological treatments for patients with insomnia. While there are multiple reports on the effects of CBT-I treatment, few studies evaluating the factors associated with the treatment response to CBT-I have been reported. The present study aimed to confirm the effects of CBT-I in patients with insomnia and to examine the clinico-demographic factors that can predict the outcomes of CBT-I in these patients.</p><p><strong>Methods: </strong>Overall, 62 patients were included in the present study. To confirm the effectiveness of CBT-I, we compared the pre- and post-CBT-I therapy values of several sleep parameters. Furthermore, to identify the clinico-demographic factors that could be predictive of the treatment response to CBT-I, we performed generalized linear model (GLM) analysis.</p><p><strong>Results: </strong>The values of several sleep parameters were significantly lower after treatment than at baseline. The results of the GLM analysis revealed that sex and occupation were significantly associated with the treatment response to CBT-I.</p><p><strong>Conclusions: </strong>The present results suggest that several clinico-demographic factors should be considered in the treatment of patients with insomnia.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11100051/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13030-024-00308-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13030-024-00308-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Clinico-demographic factors associated with the treatment response to cognitive behavioral therapy for insomnia.
Background: Cognitive behavioral therapy for insomnia (CBT-I) is among the recommended non-pharmacological treatments for patients with insomnia. While there are multiple reports on the effects of CBT-I treatment, few studies evaluating the factors associated with the treatment response to CBT-I have been reported. The present study aimed to confirm the effects of CBT-I in patients with insomnia and to examine the clinico-demographic factors that can predict the outcomes of CBT-I in these patients.
Methods: Overall, 62 patients were included in the present study. To confirm the effectiveness of CBT-I, we compared the pre- and post-CBT-I therapy values of several sleep parameters. Furthermore, to identify the clinico-demographic factors that could be predictive of the treatment response to CBT-I, we performed generalized linear model (GLM) analysis.
Results: The values of several sleep parameters were significantly lower after treatment than at baseline. The results of the GLM analysis revealed that sex and occupation were significantly associated with the treatment response to CBT-I.
Conclusions: The present results suggest that several clinico-demographic factors should be considered in the treatment of patients with insomnia.
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