Literature DB >> 17123654

Lack of efficacy of music to improve sleep: a polysomnographic and quantitative EEG analysis.

Stanley E Lazic1, Robert D Ogilvie.   

Abstract

An increasing number of studies have been examining non-pharmacological methods to improve the quality of sleep, including the use of music and other types of auditory stimulation. While many of these studies have found significant results, they suffer from a combination of subjective self-report measures as the primary outcome, a lack of proper controls, often combine music with some type of relaxation therapy, or do not randomise subjects to control and treatment conditions. It is therefore difficult to assess the efficacy of music to induce or improve sleep. The present study therefore examined the effects of music using standard polysomnographic measures and quantitative analysis of the electroencephalogram, along with subjective ratings of sleep quality. In addition, a tones condition was used to compare any effects of music with the effects of general auditory stimulation. Using a counter-balanced within-subjects design, the music was not significantly better than the tones or control conditions in improving sleep onset latency, sleep efficiency, wake time after sleep onset, or percent slow wave sleep, as determined by objective physiological criteria.

Mesh:

Year:  2006        PMID: 17123654     DOI: 10.1016/j.ijpsycho.2006.10.004

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  14 in total

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Review 5.  Music for insomnia in adults.

Authors:  Kira V Jespersen; Julian Koenig; Poul Jennum; Peter Vuust
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7.  The music that helps people sleep and the reasons they believe it works: A mixed methods analysis of online survey reports.

Authors:  Tabitha Trahan; Simon J Durrant; Daniel Müllensiefen; Victoria J Williamson
Journal:  PLoS One       Date:  2018-11-14       Impact factor: 3.240

8.  Effects of Relaxing Music on Healthy Sleep.

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Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

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Journal:  Sci Rep       Date:  2020-05-04       Impact factor: 4.379

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Authors:  John Wallert; Guy Madison
Journal:  Front Hum Neurosci       Date:  2014-09-19       Impact factor: 3.169

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