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以生理指標驗證音樂對失眠改善成效之系統性文獻回顧與統合分析

The Effectiveness of Music for Decreasing Insomnia Using Physiological Indices: A Systematic Review and Meta-Analysis

摘要


失眠是現代人常見的症狀其導因複雜並多元,對身心造成極大困擾。音樂常被用來改善失眠,然而過去研究大多以量表呈現個案自我感受,未有實際生理客觀指標來支持。睡眠狀態可透過生理指標實際測量,為客觀準確指標,故本文欲透過系統性回顧與統合分析方法,以生理指標如腦波圖或睡眠多項檢測驗,探討音樂療法對失眠改善的成效。搜尋Cochrane Library/Trials、PubMed、Embase、CINHAL、臺灣期刊論文索引系統之隨機對照試驗研究,其關鍵字為失眠、音樂、生理指標。其納入條件為:(1)族群為失眠成人;(2)介入策略為音樂;(3)結果須以腦波圖或睡眠多項檢測驗測量。排除條件為無足夠實驗數據可提供分析、有其他介入措施合併使用、缺少全文資料的文章。而統合分析則使用Cochrane RevMan5統計軟體進行分析。最終共納入四篇文章。整體而言音樂療法對於失眠並沒有明顯的助益(異質性I^2 = 22%, p = 0.33)。目前以生理指標測量之研究仍偏少,建議未來可以增加相關研究,同時也針對其他客觀睡眠生理指標進一步探討與提出有效策略,以降低失眠程度。

關鍵字

失眠 音樂 生理指標

並列摘要


Insomnia is common and has various underlying causes, and it can cause significant physical and psychological distress. Numerous studies have explored the benefits of music therapy in insomnia. However, most have considered subjective patient perspectives instead of objective physiological indices. Therefore, we conducted a systematic review and meta-analysis to investigate the effect of music therapy on insomnia, with brain waves or polysomnography as measurement indicators. We searched the Cochrane Library, PubMed, Embase, CINHAL, and NCL Periodical Information Center databases for randomized controlled trials and the keywords were insomnia, music, and physical indicator. The inclusion criteria were: (1) adults with insomnia, (2) music therapy as the intervention strategy, and (3) outcomes measured through electroencephalography or polysomnography. The exclusion criteria were: (1) insufficient experimental data; (2) those that included other interventions; (3) incomplete articles. We performed data analysis using RevMan5. Finally, we included and analyzed four studies. Music therapy did not significantly alleviate insomnia (heterogeneity I^2 = 22%, p = 0.33). The studies related to physical measurement for insomnia were still few, more evidence should be explored in the future to provide effective strategies.

並列關鍵字

insomnia music physiological indices

參考文獻


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