Multifaceted Music Therapy for Depression in Dementia: A Network Meta-Analysis of Randomized Controlled Trials

Author:

Ting Berne1ORCID,Chen Daniel Tzu-Li2345ORCID,Hsu Wei-Ti56ORCID,Tsai Chia-Lin5,Malau Ikbal Andrian25ORCID,Lee Sheau-Ling7,Jingling Li5ORCID

Affiliation:

1. Ph.D. Program for Aging, College of Medicine, China Medical University, Taichung 40402, Taiwan

2. Mind-Body Interface Laboratory (MBI-Lab), China Medical University Hospital, Taichung 40402, Taiwan

3. M.D.-Ph.D. Program, College of Medicine, China Medical University, Taichung 40402, Taiwan

4. School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung 40402, Taiwan

5. Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, No. 91, Xue-Shi Road, North District, Taichung 40402, Taiwan

6. Department of Anesthesiology, China Medical University Hospital, Taichung 40402, Taiwan

7. National Health Research Institutes, Miaoli 35053, Taiwan

Abstract

This study aimed to assess the efficacy of various music therapy interventions in ameliorating depressive symptoms in dementia patients, utilizing a network meta-analysis approach. We rigorously selected randomized controlled trials focused on music therapy for dementia with depressive symptoms from major electronic databases. The primary outcome measured was the impact on depressive symptoms, with the secondary outcome evaluating dropout rates across different intervention groups and standard care control groups. The research protocol has been duly registered with PROSPERO (Registration ID: CRD42023393059). Our network meta-analysis incorporated 14 randomized controlled trials involving a total of 1080 participants and examined a range of interventions, including active music therapy, listening to music, rhythmic music therapy, singing, and tailored music interventions. The analysis revealed that active music therapy combined with singing emerged as the most effective intervention, demonstrating a significant improvement in depressive symptoms in dementia patients (Standardized Mean Difference [SMD] = −0.89, 95% Confidence Interval [CI]: −1.48 to −0.30). In contrast, listening to music alone showed a smaller effect (SMD = −0.26, 95% CI: −0.71 to 0.20). This study was particularly noteworthy for not showing higher dropout rates compared to standard care, indicating its feasibility and acceptability in clinical settings. The findings of our study indicate that active music therapy combined with singing is an effective approach to reducing depressive symptoms in dementia patients, potentially due to enhanced social interaction. These results offer new perspectives for dementia care, suggesting a promising direction for further research and clinical application.

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3