Music for insomnia in adults

Kira V Jespersen, Julian Koenig, Poul Jennum, Peter Vuust, Kira V Jespersen, Julian Koenig, Poul Jennum, Peter Vuust

Abstract

Background: Insomnia is a common sleep disorder in modern society. It causes reduced quality of life and is associated with impairments in physical and mental health. Listening to music is widely used as a sleep aid, but it remains unclear if it can actually improve insomnia in adults.

Objectives: To assess the effects of listening to music on insomnia in adults and to assess the influence of specific variables that may moderate the effect.

Search methods: We searched CENTRAL, PubMed, Embase, nine other databases and two trials registers in May 2015. In addition, we handsearched specific music therapy journals, reference lists of included studies, and contacted authors of published studies to identify additional studies eligible for inclusion, including any unpublished or ongoing trials.

Selection criteria: Randomised controlled trials and quasi-randomised controlled trials that compared the effects of listening to music with no treatment or treatment-as-usual on sleep improvement in adults with insomnia.

Data collection and analysis: Two authors independently screened abstracts, selected studies, assessed risk of bias, and extracted data from all studies eligible for inclusion. Data on pre-defined outcome measures were subjected to meta-analyses when consistently reported by at least two studies. We undertook meta-analyses using both fixed-effect and random-effects models. Heterogeneity across included studies was assessed using the I² statistic.

Main results: We included six studies comprising a total of 314 participants. The studies examined the effect of listening to pre-recorded music daily, for 25 to 60 minutes, for a period of three days to five weeks.Based on the Grades of Recommendations, Assessment, Development and Evaluation (GRADE) approach, we judged the evidence from five studies that measured the effect of music listening on sleep quality to be of moderate quality. We judged the evidence from one study that examined other aspects of sleep (see below) to be of low quality. We downgraded the quality of the evidence mainly because of limitations in design or being the only published study. As regards risk of bias, most studies were at high risk of bias on at least one domain: one study was at high risk of selection bias and one was judged to be at unclear risk; six studies were at high risk of performance bias; three studies were at high risk of detection bias; one study was at high risk of attrition bias and was study was judged to be at unclear risk; two studies were judged to be at unclear risk of reporting bias; and four studies were at high risk of other bias.Five studies (N = 264) reporting on sleep quality as assessed by the Pittsburgh Sleep Quality Index (PSQI) were included in the meta-analysis. The results of a random-effects meta-analysis revealed an effect in favour of music listening (mean difference (MD) -2.80; 95% confidence interval (CI) -3.42 to -2.17; Z = 8.77, P < 0.00001; moderate-quality evidence). The size of the effect indicates an increase in sleep quality of the size of about one standard deviation in favour of the intervention compared to no treatment or treatment-as-usual.Only one study (N = 50; low-quality evidence) reported data on sleep onset latency, total sleep time, sleep interruption, and sleep efficiency. However, It found no evidence to suggest that the intervention benefited these outcomes. None of the included studies reported any adverse events.

Authors' conclusions: The findings of this review provide evidence that music may be effective for improving subjective sleep quality in adults with insomnia symptoms. The intervention is safe and easy to administer. More research is needed to establish the effect of listening to music on other aspects of sleep as well as the daytime consequences of insomnia.

Conflict of interest statement

Kira V Jespersen ‐ is the author of a trial that is included in the review*. Julian Koenig ‐ none known. Poul Jennum ‐ none known. Peter Vuust ‐ is a co‐author of a trial that is included in the review*.

*As Kira Jespersen and Peter Vuust are authors on the Jespersen 2012 trial. This trial was assessed by two authors (JK; PJ) with no involvement in the study.

Figures

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Study flow diagram
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Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included trials
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Risk of bias summary: review authors' judgements about each risk of bias item for each included trial
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Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.
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Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.2 Subgroup (PSQI) by music selection ‐ immediately post‐treatment.
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Forest plot of comparison: 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, outcome: 1.3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.
1.1. Analysis
1.1. Analysis
Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 1 Sleep quality: Pittsburgh Sleep Quality Index (PSQI) ‐ immediately post‐treatment.
1.2. Analysis
1.2. Analysis
Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 2 Subgroup (PSQI) by music selection ‐ immediatly post‐treatment.
1.3. Analysis
1.3. Analysis
Comparison 1 Sleep quality: listening to music versus control ‐ Pittsburgh Sleep Quality Index (PSQI) ‐ global score, Outcome 3 Subgroup (PSQI) by relaxation instructions ‐ immediately post‐treatment.

Source: PubMed

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