Music therapy and music-based support for autistic children: a neurodiversity-informed systematic review and meta-analysis.

IF 3.8 3区 医学 Q2 PSYCHIATRY
Frontiers in Psychiatry Pub Date : 2026-10-09 eCollection Date: 2026-01-01 DOI:10.3389/fpsyt.2026.1806096
Shanshan Lu, Huimin Feng, Zhidan Wang
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引用次数: 0

Abstract

Background: Music-based interventions, including music therapy, are widely used to support autistic children, but reductions on autism-related scales do not fully represent communication, participation, quality of life, or autonomy. We retained clinically interpretable outcomes while using a neurodiversity-informed framework to organize intervention goals and interpretation.

Methods: Web of Science, CNKI, Wanfang Data, VIP, PubMed, the Cochrane Library, Embase, Wiley Online Library, EBSCOhost, and Google Scholar were searched from inception to August 5, 2026. Randomized, quasi-randomized, crossover, and controlled studies involving autistic participants younger than 18 years were eligible. Outcomes were grouped as social communication/interaction, language, adaptive function/participation, quality of life/well-being, and autism-related characteristics and support needs. Positive Hedges' g values favored the music-based condition. Random-effects models used restricted maximum likelihood estimation and modified Hartung-Knapp inference. Comparator intensity, technique, duration, and parent involvement were examined as exploratory moderators.

Results: Thirty-three independent studies, representing 1,880 participants in the selected quantitative comparisons, were included and contributed at least one outcome. Social communication/interaction showed a significant pooled effect (k = 10, g = 0.64, 95% CI 0.25 to 1.03, p = 0.0046; I² = 59.6%); the primary evidence layer also remained significant (k = 7, g = 0.57, 95% CI 0.02 to 1.12, p = 0.043). Language showed a significant small pooled effect (k = 11, g = 0.32, 95% CI 0.10 to 0.54, p = 0.009; I² = 0%), whereas the primary evidence layer yielded g = 0.19 (95% CI -0.17 to 0.55). Autism-related scale outcomes showed a significant pooled effect (k = 16, g = 1.23, 95% CI 0.93 to 1.53, p < 0.001; I² = 77.0%) and remained significant among studies reporting a reproducible randomization method (k = 6, g = 0.95, 95% CI 0.29 to 1.61). Adaptive function and quality-of-life estimates did not reach statistical significance. No between-group moderator test was significant. Duration was not associated with effect size (β = -0.034 per month, p = 0.552), and Egger's regression did not detect funnel-plot asymmetry (p = 0.591).

Conclusions: Music-based support produced favorable average effects on social communication/interaction, language, and autism-related scale outcomes.

音乐疗法和基于音乐的自闭症儿童支持:一项神经多样性信息的系统回顾和荟萃分析。
背景:以音乐为基础的干预措施,包括音乐治疗,被广泛用于支持自闭症儿童,但自闭症相关量表的减少并不能完全代表沟通、参与、生活质量或自主性。我们保留了临床可解释的结果,同时使用神经多样性知情框架来组织干预目标和解释。方法:检索Web of Science、CNKI、万方数据、VIP、PubMed、Cochrane Library、Embase、Wiley Online Library、EBSCOhost、谷歌Scholar自建站至2026年8月5日的数据库。随机、准随机、交叉和对照研究纳入了年龄小于18岁的自闭症参与者。结果分为社会沟通/互动、语言、适应功能/参与、生活质量/幸福感、自闭症相关特征和支持需求。正向对冲的g值倾向于基于音乐的条件。随机效应模型采用限制最大似然估计和改进的Hartung-Knapp推理。比较器强度、技术、持续时间和家长参与作为探索性调节因子进行检验。结果:33项独立研究,在选定的定量比较中代表1880名参与者,被纳入并贡献了至少一个结果。社会沟通/互动表现出显著的合并效应(k = 10, g = 0.64, 95% CI 0.25 ~ 1.03, p = 0.0046; I²= 59.6%);主要证据层也保持显著性(k = 7, g = 0.57, 95% CI 0.02 ~ 1.12, p = 0.043)。语言显示了显著的小合并效应(k = 11, g = 0.32, 95% CI 0.10至0.54,p = 0.009; I²= 0%),而主要证据层的结果为g = 0.19 (95% CI -0.17至0.55)。自闭症相关量表结果显示出显著的合并效应(k = 16, g = 1.23, 95% CI 0.93 ~ 1.53, p < 0.001; I²= 77.0%),并且在采用可重复随机化方法的研究中仍然显著(k = 6, g = 0.95, 95% CI 0.29 ~ 1.61)。适应功能和生活质量估计值没有达到统计学意义。组间调节检验无显著性差异。持续时间与效应大小无关(β = -0.034 /月,p = 0.552), Egger回归未检测到漏斗图不对称(p = 0.591)。结论:基于音乐的支持在社会沟通/互动、语言和自闭症相关量表结果方面产生了良好的平均效果。
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
Frontiers in Psychiatry
Frontiers in Psychiatry Medicine-Psychiatry and Mental Health
CiteScore
6.20
自引率
8.50%
发文量
2813
审稿时长
14 weeks
期刊介绍: Frontiers in Psychiatry publishes rigorously peer-reviewed research across a wide spectrum of translational, basic and clinical research. Field Chief Editor Stefan Borgwardt at the University of Basel is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. The journal''s mission is to use translational approaches to improve therapeutic options for mental illness and consequently to improve patient treatment outcomes.
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