Effectiveness of Neurofeedback-Assisted and Conventional 6-Week Web-Based Mindfulness Interventions on Mental Health of Chinese Nursing Students: Randomized Controlled Trial.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Shu Jing, Zhenwei Dai, Xiaoyang Liu, Xuelin Yang, Jinglei Cheng, Tianming Chen, Zihang Feng, Xin Liu, Fenghe Dong, You Xin, Zhuoyan Han, Haiyan Hu, Xiaoyou Su, Chen Wang
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引用次数: 0

Abstract

Background: Nursing students experience disproportionately high rates of mental health challenges, underscoring the urgent need for innovative, scalable interventions. Web-based mindfulness programs, and more recently, neurofeedback-enhanced approaches, present potentially promising avenues for addressing this critical issue.

Objective: This study aimed to explore the effectiveness of the neurofeedback-assisted online mindfulness intervention (NAOM) and the conventional online mindfulness intervention (COM) in reducing mental health symptoms among Chinese nursing students.

Methods: A 3-armed randomized controlled trial was conducted among 147 nursing students in Beijing, China, using a 6-week web-based mindfulness program. Participants received NAOM, COM, or general mental health education across 6 weeks. Electroencephalogram and validated tools such as the Patient Health Questionnaire and the Generalized Anxiety Disorder Questionnaire were used to primarily assess symptoms of depression and anxiety at baseline, immediately after the intervention, and at 1 and 3 months after the intervention. Generalized estimating equations were used to evaluate the effects of intervention and time.

Results: A total of 155 participants enrolled in the study, and 147 finished all assessments. Significant reductions in the symptoms of depression, anxiety, and fatigue were observed in the NAOM (mean difference [MD]=-3.330, Cohen d=0.926, P<.001; MD=-3.468, Cohen d=1.091, P<.001; MD=-2.620, Cohen d=0.743, P<.001, respectively) and the COM (MD=-1.875, Cohen d=0.490, P=.03; MD=-1.750, Cohen d=0.486, P=.02; MD=-2.229, Cohen d=0.629, P=.01, respectively) groups compared with the control group at postintervention assessment. Moreover, the NAOM group showed significantly better effects than the COM group in alleviating depressive symptoms (MD=-1.455; Cohen d=0.492; P=.04) and anxiety symptoms (MD=-1.718; Cohen d=0.670; P=.04) and improving the level of mindfulness (MD=-3.765; Cohen d=1.245; P<.001) at the postintervention assessment. However, no significant difference except for the anxiety symptoms was observed across the 3 groups at the 1- and 3-month follow-ups.

Conclusions: This 6-week web-based mindfulness intervention, both conventional and neurofeedback-assisted, effectively alleviated mental health problems in the short term among nursing students. The addition of neurofeedback demonstrated greater short-term benefits; however, but these effects were not sustained over the long term. Future research should focus on long-term interventions using a more robust methodological approach.

Trial registration: Chinese Clinical Trial Registry (ChiCTR) ChiCTR2400080314; https://www.chictr.org.cn/bin/project/edit?pid=211845.

神经反馈辅助和传统6周基于网络的正念干预对中国护生心理健康的影响:随机对照试验
背景:护理学生经历不成比例的高比率的心理健康挑战,强调迫切需要创新的,可扩展的干预措施。基于网络的正念计划,以及最近的神经反馈增强方法,为解决这一关键问题提供了潜在的有希望的途径。目的:探讨神经反馈辅助在线正念干预(NAOM)与传统在线正念干预(COM)在减轻中国护生心理健康症状中的效果。方法:采用为期6周的网络正念课程,对中国北京147名护理专业学生进行三臂随机对照试验。参与者在6周内接受NAOM、COM或一般心理健康教育。脑电图和经验证的工具,如患者健康问卷和广泛性焦虑障碍问卷,主要用于评估基线、干预后立即以及干预后1个月和3个月的抑郁和焦虑症状。采用广义估计方程对干预效果和时间进行评价。结果:共有155名参与者参加了这项研究,其中147人完成了所有评估。NAOM的抑郁、焦虑和疲劳症状显著减轻(mean difference [MD]=-3.330, Cohen d=0.926, p)。结论:为期6周的基于网络的正念干预,无论是常规干预还是神经反馈辅助干预,均能有效缓解护生的短期心理健康问题。增加神经反馈显示出更大的短期效益;然而,这些影响并没有长期持续下去。未来的研究应侧重于使用更可靠的方法进行长期干预。试验注册:中国临床试验注册中心(ChiCTR) ChiCTR2400080314;https://www.chictr.org.cn/bin/project/edit?pid=211845。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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