Impact of Virtual Reality-Based Biofeedback on Sleep Quality Among Individuals With Depressive Symptoms, Anxiety Symptoms, or Both: 4-Week Randomized Controlled Study.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Sisu Seong, Hyewon Kim, Yaehee Cho, Min-Ji Kim, Ka Ram Park, Jooeun Choi, Seonah Lee, Dong Jun Kim, Seog Ju Kim, Hong Jin Jeon
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引用次数: 0

Abstract

Background: Use of virtual reality (VR)-based biofeedback (BF) represents an emerging nonpharmacological intervention for enhancing sleep quality in individuals exhibiting depressive symptoms, anxiety symptoms, or both. However, empirical evidence regarding its efficacy in addressing sleep disturbances remains limited and inconclusive.

Objective: This 3-arm randomized controlled trial aimed (1) to compare the efficacy of VR-based BF with conventional BF in improving sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), among individuals with depressive symptoms, anxiety symptoms, or both (DAS); (2) to examine the effects of VR-based BF in a demographically similar healthy control (HC) group; and (3) to evaluate between-group differences in sleep quality improvements at the 4-week follow-up.

Methods: Participants scoring ≥10 on the Patient Health Questionnaire-9 or ≥9 on the Panic Disorder Severity Scale were allocated to a group with DAS while others were assigned to a HC group. The DAS group was subsequently randomized into VR-based BF or conventional BF interventions with a therapist. All participants attended sessions at weeks 0, 2, and 4, completing assessments including the Montgomery-Asberg Depression Rating Scale, State-Trait Anxiety Inventory, and Visual Analog Scale in interviews. The PSQI was administered at baseline and postintervention to evaluate alterations in sleep quality over a 4-week period.

Results: A total of 118 participants were randomized into a VR-based BF group (DAS/VR, n=40) or a conventional BF group (DAS/BF, n=38), and a control group (HC/VR, n=40) received VR-based BF. Sleep disturbance scores of both DAS/VR and DAS/BF groups had significant improvements (mean reductions of -0.58, SD 0.75 and -0.66, SD 0.75, respectively) compared to those preintervention, showing no significant difference after adjusting for age and sex (P=.49). The DAS/VR group had a greater improvement in sleep disturbance (mean -0.08, SD 0.53; P=0.0014) than the HC/VR group. Global PSQI scores in both DAS/VR and DAS/BF groups improved compared to those preintervention, showing decreases by -2.50 (SD 2.89) and -3.39 (SD 2.80), respectively. The difference between the 2 groups was not statistically significant (P=.14). The Global PSQI score in the DAS/VR group showed significant improvement (-0.95, SD 2.09; P=.01) compared to that in the HC/VR group.

Conclusions: This study provides evidence that both VR-based BF and conventional BF with a therapist are efficacious psychological interventions for enhancing sleep quality in individuals with depressive symptoms, anxiety symptoms, or both, with no significant differences observed between these 2 approaches. Both interventions showed significant improvements compared to baseline measurements. These findings suggest potential applications of these interventions in clinical settings to improve sleep quality and mental well-being.

基于虚拟现实的生物反馈对抑郁症状、焦虑症状或两者兼有的个体睡眠质量的影响:4周随机对照研究
背景:使用基于虚拟现实(VR)的生物反馈(BF)代表了一种新兴的非药物干预措施,用于改善表现出抑郁症状、焦虑症状或两者兼有的个体的睡眠质量。然而,关于其在解决睡眠障碍方面的有效性的经验证据仍然有限且不确定。目的:这项三组随机对照试验旨在(1)比较基于vr的BF与传统BF在改善抑郁症状、焦虑症状或两者都有(DAS)的个体睡眠质量方面的效果,以匹兹堡睡眠质量指数(PSQI)衡量;(2)检验基于vr的BF在人口统计学上相似的健康对照组(HC)中的效果;(3)随访4周,评估两组间睡眠质量改善的差异。方法:患者健康问卷-9得分≥10分或恐慌障碍严重程度量表得分≥9分的参与者被分配到DAS组,而其他人被分配到HC组。DAS组随后被随机分为基于vr的BF或有治疗师的传统BF干预。所有参与者在第0、2和4周参加了会议,并在访谈中完成了包括Montgomery-Asberg抑郁评定量表、状态-特质焦虑量表和视觉模拟量表在内的评估。在基线和干预后进行PSQI,以评估4周内睡眠质量的变化。结果:118名参与者被随机分为基于VR的BF组(DAS/VR, n=40)或传统BF组(DAS/BF, n=38),对照组(HC/VR, n=40)接受基于VR的BF治疗。与干预前相比,DAS/VR组和DAS/BF组睡眠障碍评分均有显著改善(分别平均降低-0.58,SD 0.75和-0.66,SD 0.75),调整年龄和性别后差异无统计学意义(P= 0.49)。DAS/VR组在睡眠障碍方面有更大的改善(平均-0.08,SD 0.53;P=0.0014)高于HC/VR组。与干预前相比,DAS/VR组和DAS/BF组的整体PSQI评分均有所改善,分别下降-2.50 (SD 2.89)和-3.39 (SD 2.80)。两组间差异无统计学意义(P= 0.14)。DAS/VR组全球PSQI评分有显著改善(-0.95,SD 2.09;P= 0.01),与HC/VR组比较。结论:本研究提供的证据表明,基于vr的BF和有治疗师的传统BF都是有效的心理干预措施,可以改善抑郁症状、焦虑症状或两者兼有的个体的睡眠质量,两种方法之间没有显著差异。与基线测量结果相比,两种干预措施均有显著改善。这些发现提示了这些干预措施在临床环境中的潜在应用,以改善睡眠质量和心理健康。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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