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失眠治疗反应的时间亚型及特征

Temporal subtypes and characteristics of insomnia treatment responses.

作者信息

Zhang Yajie, Jiang Zhaowei, Mao Hongjing, Song Mingfen

机构信息

The Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310053, China.

Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310013, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):20994. doi: 10.1038/s41598-025-06598-2.

Abstract

This study aims to identify specific characteristics that can predict the treatment efficacy and onset time in patients with insomnia. A retrospective study was conducted on patients who visited the Sleep Disorders Clinic between January 1, 2016, and October 19, 2024 and underwent digital CBT-I. Data on demographic characteristics, Pittsburgh Sleep Quality Index (PSQI), Generalized Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire (PHQ-9), Somatic Symptom Questionnaire (PHQ-15), Epworth Sleepiness Scale (ESS), and Eysenck Personality Questionnaire (EPQ) were collected. The PSQI score reduction rate was used as an indicator of treatment efficacy, where a reduction rate of more than 25% was generally considered effective. Since patients in this study underwent multiple assessments and exhibited varying degrees of treatment response, the average reduction rate was ultimately used to determine treatment effectiveness within this time dimension. Based on the time dimension, patients (N = 834) were categorized into two groups: the early-response group (≤ 8 weeks) and the late-response group (> 8 weeks or non-responsive). The demographic characteristics and scale data of 834 patients indicated no significant differences between the two groups in terms of gender (P = 0.491), family history of insomnia (P = 0.167), and ESS score (P = 0.949). However, significant differences were observed between the two groups in age (P = 0.005), education level (P < 0.001), duration of insomnia (P < 0.001), GAD-7 score (P = 0.031), PHQ-9 score (P = 0.044), and neuroticism personality trait (P = 0.039). The late-response group had a higher mean age, a lower education level, and a longer duration of insomnia than the early-response group. Additionally, the late-response group exhibited lower GAD-7, PHQ-9, and neuroticism personality trait scores compared to the early-response group. Multivariate logistic regression analysis indicated that higher education level (college or above), higher PHQ-9 and PHQ-15 scores, and a neuroticism personality trait were significant predictors of better treatment response and earlier onset of efficacy in insomnia patients. A longer duration of insomnia was identified as a risk factor for poor treatment response and delayed onset of efficacy. Conclusion: Insomnia patients with higher education levels (college or above), higher PHQ-9 and PHQ-15 scores, and a neuroticism personality trait tend to have better treatment outcomes and an earlier onset of efficacy. Longer duration of insomnia, tend to experience poorer treatment outcomes and a delayed response to treatment.

摘要

本研究旨在确定能够预测失眠患者治疗效果及起效时间的特定特征。对2016年1月1日至2024年10月19日期间前往睡眠障碍诊所就诊并接受数字化认知行为疗法失眠治疗(CBT-I)的患者进行了一项回顾性研究。收集了有关人口统计学特征、匹兹堡睡眠质量指数(PSQI)、广泛性焦虑障碍量表(GAD-7)、患者健康问卷(PHQ-9)、躯体症状问卷(PHQ-15)、爱泼沃斯思睡量表(ESS)和艾森克人格问卷(EPQ)的数据。PSQI评分降低率被用作治疗效果的指标,一般认为降低率超过25%即为有效。由于本研究中的患者接受了多次评估且表现出不同程度的治疗反应,最终使用平均降低率来确定该时间维度内的治疗效果。基于时间维度,将患者(N = 834)分为两组:早期反应组(≤ 8周)和晚期反应组(> 8周或无反应)。834例患者的人口统计学特征和量表数据显示,两组在性别(P = 0.491)、失眠家族史(P = 0.167)和ESS评分(P = 0.949)方面无显著差异。然而,两组在年龄(P = 0.005)、教育水平(P < 0.001)、失眠持续时间(P < 0.001)、GAD-7评分(P = 0.031)、PHQ-9评分(P = 0.044)和神经质人格特质(P = 0.039)方面存在显著差异。晚期反应组的平均年龄高于早期反应组,教育水平较低,失眠持续时间较长。此外,晚期反应组的GAD-7、PHQ-9和神经质人格特质得分低于早期反应组。多因素逻辑回归分析表明,较高的教育水平(大专及以上)、较高的PHQ-9和PHQ-15评分以及神经质人格特质是失眠患者治疗反应较好和起效较早的显著预测因素。较长的失眠持续时间被确定为治疗反应不佳和起效延迟的危险因素。结论:教育水平较高(大专及以上)、PHQ-9和PHQ-15评分较高以及具有神经质人格特质的失眠患者往往治疗效果较好且起效较早。失眠持续时间较长的患者往往治疗效果较差且对治疗反应延迟。

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