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与失眠认知行为疗法治疗反应相关的临床人口统计学因素。

Clinico-demographic factors associated with the treatment response to cognitive behavioral therapy for insomnia.

作者信息

Hotchi Ayana, Yamadera Wataru, Iwashita Masayuki, Utsumi Tomohiro, Amagai Misato, Nakamura Sakumi, Suzuki Takako, Shigeta Masahiro

机构信息

Department of Psychiatry, Jikei University School of Medicine, 3-19-18, Nishi- Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.

Department of Psychiatry, The Jikei University Hospital, Minato-ku, Tokyo, Japan.

出版信息

Biopsychosoc Med. 2024 May 17;18(1):13. doi: 10.1186/s13030-024-00308-6.

Abstract

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.

摘要

背景

失眠的认知行为疗法(CBT-I)是推荐给失眠患者的非药物治疗方法之一。虽然有多项关于CBT-I治疗效果的报告,但很少有研究评估与CBT-I治疗反应相关的因素。本研究旨在证实CBT-I对失眠患者的疗效,并探讨可预测这些患者CBT-I治疗结果的临床人口统计学因素。

方法

本研究共纳入62例患者。为了证实CBT-I的有效性,我们比较了CBT-I治疗前后几个睡眠参数的值。此外,为了确定可预测CBT-I治疗反应的临床人口统计学因素,我们进行了广义线性模型(GLM)分析。

结果

治疗后几个睡眠参数的值显著低于基线水平。GLM分析结果显示,性别和职业与CBT-I的治疗反应显著相关。

结论

目前的结果表明,在治疗失眠患者时应考虑几个临床人口统计学因素。

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