Effect of virtual reality-based biofeedback for depressive and anxiety symptoms: Randomized controlled study

生物反馈 焦虑 虚拟现实 干预(咨询) 临床心理学 随机对照试验 心理学 心理治疗师 物理医学与康复 物理疗法 医学 精神科 计算机科学 人机交互 内科学
作者
Yaehee Cho,Hyewon Kim,Sisu Seong,K. Park,Jooeun Choi,Min‐Ji Kim,Dokyoon Kim,Hong Jin Jeon
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:361: 392-398 被引量:18
标识
DOI:10.1016/j.jad.2024.06.031
摘要

The use of virtual reality (VR)-based biofeedback (BF), a relatively new intervention, is a non-pharmacological treatment of depressive and anxiety symptoms. However, studies on VR-based BF are lacking and inconclusive. A total of 131 adults were recruited from the community. Participants who scored ≥10 on the Patient Health Questionnaire-9 (PHQ-9) or ≥9 on the Panic Disorder Severity Scale (PDSS) were included in the group with depressive or anxiety symptoms (DAS group), and others as the healthy control group (HC group). Participants from the DAS group were randomly assigned to VR-based or conventional BF intervention. All individuals visited at three times (weeks 0, 2, and 4), and completed the Montgomery-Asberg Depression Rating Scale (MADRS), the State-Trait Anxiety Inventory (STAI), and a visual analog scale (VAS) before and after the intervention, and PHQ-9 at the beginning and final visit. The analysis included a total of 118 participants (DAS/VR: 40, DAS/BF: 38, HC/VR: 40). There was no significant difference in demographic variables among the three groups. After the intervention, the DAS/VR group exhibited significant decreases in MADRS (70.0 %), PHQ-9 (64.1 %), STAI (29.5 %), and VAS (61.7 %) scores compared to the baseline (p <0.001). There were no significant differences between the effects of VR-based BF and conventional BF with a therapist. The HC group also showed significant decreases in the measures of depression and anxiety after receiving VR-based BF. VR-based BF was effective in reducing depressive and anxiety symptoms, even for subthreshold depression and anxiety symptoms in the HC group.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
erle3发布了新的文献求助10
刚刚
ucas应助zy采纳,获得10
1秒前
1秒前
NDK发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助30
1秒前
1秒前
orixero应助LY采纳,获得10
2秒前
冷傲汽车完成签到,获得积分10
3秒前
33发布了新的文献求助10
3秒前
3秒前
喜羊羊完成签到,获得积分10
3秒前
4秒前
zcq完成签到,获得积分10
5秒前
5秒前
5秒前
赵赵发布了新的文献求助10
5秒前
科研小笨猪完成签到,获得积分10
6秒前
CC123发布了新的文献求助10
6秒前
6秒前
erle3完成签到,获得积分10
6秒前
moffy发布了新的文献求助50
7秒前
袋鼠发布了新的文献求助10
7秒前
8秒前
喜羊羊发布了新的文献求助10
9秒前
汉堡包应助激光不是机械采纳,获得10
9秒前
9秒前
呆呆熊发布了新的文献求助10
9秒前
10秒前
乐乐应助33采纳,获得10
10秒前
彭于晏应助markerfxq采纳,获得10
10秒前
Lucas应助drlq2022采纳,获得10
11秒前
念安发布了新的文献求助10
11秒前
12秒前
读个博吧完成签到,获得积分10
12秒前
13秒前
13秒前
14秒前
搜集达人应助CC123采纳,获得10
14秒前
Rui发布了新的文献求助10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Agyptische Geschichte der 21.30. Dynastie 2000
Electron Energy Loss Spectroscopy 1500
Processing of reusable surgical textiles for use in health care facilities 500
Population genetics 2nd edition 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5805744
求助须知:如何正确求助?哪些是违规求助? 5851787
关于积分的说明 15517201
捐赠科研通 4930969
什么是DOI,文献DOI怎么找? 2654883
邀请新用户注册赠送积分活动 1601639
关于科研通互助平台的介绍 1556735