Music Therapy Improves Sleep Quality in Acute and Chronic

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Review Music therapy improves sleep quality in acute and chronic sleep disorders: A meta-analysis of 10 randomized studies Chun-Fang Wang *, Ying-Li Sun, Hong-Xin Zang Department of Cardiovascular Surgery, Center for Cardiovascular Disease, Pingjin Hospital, Logistics University of Chinese People’s Armed Police Forces, Tianjin, PR China What is already known about the topic? Chronic sleep disorders are associated with adverse health outcomes. Acute sleep disorders of patients after operation or patients in intensive care unit are associated with worse prognosis. Music has been used to improve the sleep quality from an ancient time, but prospective clinical trials presented conflicting results. What this paper adds Music can assist in treating both acute and chronic sleep disorders. For chronic sleep disorders, music therapy shows a cumulative dose effect. A follow-up duration more than three weeks is necessary for assessing the efficacy of music for chronic sleep disorders. 1. Introduction Sleep is a primitive behavior of humans. Unfortunately, according to epidemiological studies, about one third of adults reported sleep disorders (Krueger and Friedman, 2009), especially in older and shift-workers (Kronholm International Journal of Nursing Studies 51 (2014) 51–62 A R T I C L E I N F O Article history: Received 14 November 2012 Received in revised form 5 March 2013 Accepted 16 March 2013 Keywords: Music Sleep disorders Sleep quality Meta-analysis A B S T R A C T Objective: To evaluate the efficacy of music therapy for acute and chronic sleep disorders in adults. Design: Systematic review and meta-analysis. Data sources: A systematic search of publications in PubMed, Embase, and the Cochrane Library without language restriction was performed. Review methods: Studies with randomized controlled design and adult participants were included if music was applied in a passive way to improve sleep quality. Subgroup analysis was conducted to explore the sources of heterogeneity. Results: Ten studies involving 557 participants were identified. The sleep quality was improved significantly by music (standard mean difference: 0.63; 95% CI: 0.92 to 0.34; p < 0.001), with significant heterogeneity across studies. Subgroup analysis found heterogeneity between subgroups with objective or subjective assessing methods of sleep quality, and between subgroups with difference follow-up durations. No evidence of publication bias was observed. Conclusion: Music can assist in improving sleep quality of patients with acute and chronic sleep disorders. For chronic sleep disorders, music showed a cumulative dose effect and a follow-up duration more than three weeks is necessary for assessing its efficacy. ß 2013 Elsevier Ltd. All rights reserved. * Corresponding author at: Department of Cardiovascular Surgery, Pingjin Hospital, No. 220 Chenglin Street, 300126 Tianjin, China. Tel.: +86 022 60577599; fax: +86 022 60577600. E-mail address: [email protected] (C.-F. Wang). Contents lists available at SciVerse ScienceDirect International Journal of Nursing Studies journal homepage: www.elsevier.com/ijns 0020-7489/$ see front matter ß 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.ijnurstu.2013.03.008

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usic therapy improves sleep quality in acute and chronicep disorders: A meta-analysis of 10 randomized studies

un-Fang Wang *, Ying-Li Sun, Hong-Xin Zang

artment of Cardiovascular Surgery, Center for Cardiovascular Disease, Pingjin Hospital, Logistics University of Chinese People’s Armed

e Forces, Tianjin, PR China

What is already known about the topic?

hronic sleep disorders are associated with adverseealth outcomes.cute sleep disorders of patients after operation oratients in intensive care unit are associated with worserognosis.usic has been used to improve the sleep quality from an

ncient time, but prospective clinical trials presentednflicting results.

What this paper adds

� Music can assist in treating both acute and chronic sleepdisorders.� For chronic sleep disorders, music therapy shows a

cumulative dose effect.� A follow-up duration more than three weeks is necessary

for assessing the efficacy of music for chronic sleepdisorders.

1. Introduction

Sleep is a primitive behavior of humans. Unfortunately,according to epidemiological studies, about one third ofadults reported sleep disorders (Krueger and Friedman,2009), especially in older and shift-workers (Kronholm

T I C L E I N F O

le history:

ived 14 November 2012

ived in revised form 5 March 2013

pted 16 March 2013

ords:

ic

p disorders

p quality

a-analysis

A B S T R A C T

Objective: To evaluate the efficacy of music therapy for acute and chronic sleep disorders in

adults.

Design: Systematic review and meta-analysis.

Data sources: A systematic search of publications in PubMed, Embase, and the Cochrane

Library without language restriction was performed.

Review methods: Studies with randomized controlled design and adult participants were

included if music was applied in a passive way to improve sleep quality. Subgroup analysis

was conducted to explore the sources of heterogeneity.

Results: Ten studies involving 557 participants were identified. The sleep quality was

improved significantly by music (standard mean difference: �0.63; 95% CI: �0.92 to

�0.34; p < 0.001), with significant heterogeneity across studies. Subgroup analysis found

heterogeneity between subgroups with objective or subjective assessing methods of sleep

quality, and between subgroups with difference follow-up durations. No evidence of

publication bias was observed.

Conclusion: Music can assist in improving sleep quality of patients with acute and chronic

sleep disorders. For chronic sleep disorders, music showed a cumulative dose effect and a

follow-up duration more than three weeks is necessary for assessing its efficacy.

� 2013 Elsevier Ltd. All rights reserved.

Corresponding author at: Department of Cardiovascular Surgery,

jin Hospital, No. 220 Chenglin Street, 300126 Tianjin, China.

+86 022 60577599; fax: +86 022 60577600.

E-mail address: [email protected] (C.-F. Wang).

Contents lists available at SciVerse ScienceDirect

International Journal of Nursing Studies

journal homepage: www.elsevier.com/ijns

0-7489/$ – see front matter � 2013 Elsevier Ltd. All rights reserved.

://dx.doi.org/10.1016/j.ijnurstu.2013.03.008

Page 2: Music Therapy Improves Sleep Quality in Acute and Chronic

C.-F. Wang et al. / International Journal of Nursing Studies 51 (2014) 51–6252

et al., 2008; Rowshan Ravan et al., 2010). As to in-hospitalpatients, duo to the change of environments and the noiseof medical equipments, acute sleep deprivation is com-mon, especially in peri-operative patients or patients inintensive care unit (Hardin, 2009; Kamdar et al., 2012).

Chronic sleep disorders have proved to be associatedwith adverse health outcomes, including cardiovasculardisorders (Cappuccio et al., 2011; Chien et al., 2010), totalmortality (Cappuccio et al., 2010a, 2010b; Castro-Costaet al., 2011; Kronholm et al., 2011), type 2 diabetes(Cappuccio et al., 2010a, 2010b), respiratory disorders(Penzel et al., 2007), and obesity (Cappuccio et al., 2008). Inaddition, acute sleep deprivation can also worsen theprognosis.

Pharmacological therapy has been wildly used to treatsleep disorders, but the potential side effects limit a long-term intervention. Realizing that sleep is affected by bothphysiological and psychological factors, people resorted tokinds of mind-body interventions such as music therapy,which indeed have been used from a very ancient time(Cervellin and Lippi, 2011). In fact, music is the mostwelcomed method used by nurses to improve the patients’sleep quality (Bouhairie et al., 2006).

Some earlier studies succeeded to prove the efficacy ofmusic in improving sleep quality (Kullich et al., 2003; Laiand Good, 2005; Renzi et al., 2000; Zimmerman et al.,1996). Although a previous meta-analysis (de Niet et al.,2009) recommended the music-assisted relaxation topatients with sleep disorders, the evidence was limitedbecause only 5 studies were available at that time. Theresult was challenged by several recent studies withnegative results (Chan et al., 2010; Chang et al., 2012), andwe noticed that only one study included in that mate-analysis showed negative result (Hernandez-Ruiz, 2005).With accumulating evidence, our goal was to evaluate theefficacy of music for sleep disorders by conducting a meta-analysis of prospective cohort studies.

2. Methods

2.1. Search strategy and study selection

We attempted to follow the PRISMA (PreferredReporting Items for Systematic reviews and Meta-Analy-ses) guideline to report the present meta-analysis (Moheret al., 2009). We systematically searched the electronicdatabases PubMed, Embase, and the Cochrane Librarywithout language restriction. The following search termswere used: sleep, sleep quality, insomnia, music, musicintervention, music relaxation, music therapy. The refer-ence lists of original and review articles were reviewed toidentify any additional relevant studies.

Studies were included in the meta analysis if they metthe following criteria: (1) a randomized controlled design,(2) adult population over 18 years of age were involved, (3)music was applied in a passive way to improve sleepquality, (4) the sleep quality was assessed using asubjective or objective method. Studies were excludedif: (1) participants suffering neurological or severe cogni-tive disorders were enrolled, (2) active use of music wasused as intervention, such as playing instruments. If

multiple published articles from the same study wereavailable, only the article with the most detailed informa-tion was included.

2.2. Data extraction and study quality

Our primary outcome was the sleep quality which wasassessed using subjective methods such as questionnaire, orobjective methods such as polysomnography. All literaturesearch results were screened independently by two authors(W-CF and S-YL) for potentially relevant articles, anduncertainty or disagreement were resolved by discussionand consensus. Data extraction was performed using astandardized protocol and data-collection form. Extracteddata included the first author’s name, year of publication,study population, the sample size, participants’ age andgender, duration of follow-up, the intervention for eachgroup, method to assess the sleep quality, and result in eachgroup. Studies were assessed for quality by randomization,blinding, reporting of withdrawals, generation of randomnumbers, and concealment of allocation. Trials scored onepoint for each area addressed, with a possible score between0 and 5 (Moher et al., 1998).

2.3. Statistical analysis

Since continuous data from different scales wereextracted, the standardized mean difference (SMD) wasused as the measure of effect and the results were expressedas a SMD with 95% confidence intervals (CIs). SMD iscalculated by dividing the mean difference in each study bythe study’s deviation, which makes the results comparableacross studies. It should be noted that SMD is an indexwithout unit, and the results of 0.2 are usually interpreted assmall, those of 0.5 as moderate and from 0.8 as large.

The heterogeneity among studies was tested by Q-statistic (significance level at p < 0.10) and I-statistic(Higgins et al., 2003). The result of I-statistic is I2, whichdescribes the percentage of total variation across studiesthat is due to heterogeneity rather than due to chance,where high values of the index (I2> 50%) indicate theexistence of heterogeneity.

The combined SMD were computed using fixed-effectsmodels with no evidence of significant heterogeneity. In thepresence of heterogeneity, random-effects models are moreappropriate because they assume that the effect beingestimated in the different studies are not identical. Publica-tion biaswasassessedwithfunnelplots and Eggerregressiontest (Egger et al., 1997). Sensitivity analysis was performedto explore the influence of individual studies by deleting 1study in each turn. Subgroup analysis was conducted toassess possible sources of heterogeneity by checking theheterogeneity between subgroups with different averageages, geographical locations, or follow-up durations, withacute or chronic sleep disorders, and with subjective orobjective sleep quality assessing methods. Significantheterogeneity between subgroups indicates that the sub-group factor may explain part of the total heterogeneity.

A p-value < 0.05 was considered to be statisticallysignificant. All statistical analyses were performed usingStata software (version 11.0; Stata Corporation, College

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C.-F. Wang et al. / International Journal of Nursing Studies 51 (2014) 51–62 53

tion, TX) and REVMAN software (version 5.0; Cochranelaboration, Oxford, United Kingdom).

esults

Main features of included studies

Two hundred and twenty-seven articles were obtained the initial search. Ten studies involving 557

ticipants were identified based on our criteria (Chanal., 2010; Chang et al., 2012; Harmat et al., 2008;nandez-Ruiz, 2005; Kullich et al., 2003; Lai and Good,5; Renzi et al., 2000; Richards, 1998; Ryu et al., 2012;merman et al., 1996) (Fig. 1). The excluded studies are

ed in the Appendix. All articles were in English except in German. Two studies were found to be publishedce in separate articles (Chan, 2011; Chan et al., 2010;and Good, 2005, 2006), and the most detailed one wascted. The characteristics of these studies are presentedable 1. Four studies focused on post-operative acutep disorders in hospital with the follow-up durations

than 4 days. The other 6 studies focused on chronicp disorders, 2 of them with the follow-up durations

ween 4 and 5 days and the remaining 4 studies with theations between 3 and 4 weeks.Eight studies used subjective, self-rating scale toasure the quality of sleep. One study used the

Richards-Campbell Sleep Questionnaire (RCSQ), five stud-ies used the Pittsburgh Sleep Quality Index (PSQI), anotherone study used the Verran and Synder-Halpern (VSH)sleeping scale, and the remaining study used a visualanalog scale (VAS). Two studies used polysomnography tomeasure the quality of sleep. Among the objective sleepmeasures that polysomnography supplied, we selected thesleep efficiency (total sleep time/total recording time) asour primary outcome.

3.2. Music and sleep quality

The outcomes with different methods were notdirectly comparable. A high PSQI value means a lowersleep quality, while a high RCSQ, VSH or SE value meansthe opposite. The scores of RCSQ, VSH or SE wereconverted by subtracting the real score from the maxi-mum score.

The quality of sleep was improved significantly bymusic (SMD: �0.63; 95% CI: �0.92 to �0.34; Z = 4.24,p < 0.001; Fig. 2) using random-effect model, withsignificant heterogeneity (I2 = 64%; X2 = 24.88, p = 0.003).Similar effects were shown between subgroups with acuteor chronic sleep disorders ((I2 = 0%; X2 = 0.40, p = 0.53). Thefunnel plot was inspected and found to be roughlysymmetrical, and the Egger regression test also showedno evidence of significant publication bias (p = 0.42).

Fig. 1. Flow chart of study selection.

le 1

racteristics of included studies.

thor Year Age

(mean)

Male (%) Simple

size

Country Followup

duration

Participants’ characteristics Measure Quality

score

mmerman 1996 67 68 96 USA 2 days In hospital, post-CABG RCSQ 2

chards 1998 66 100 69 USA 1 day In hospital, CCU PSG 2

nzi 2000 46 60 86 Italy 1 day In hospital, post-anorectal

operation

VAS 3

llich 2003 48 63 65 Austria 3 weeks In stationary rehabilitation PSQI 2

rnandez-Ruiz 2005 35 0 28 USA 5 days Abused women in shelter PSQI 2

i 2005 67 /* 60 Taiwan 3 weeks In community PSQI 4

rmat 2008 23 22 94 Hungary 3 weeks Students in university PSQI 4

an 2010 76 45 42 Hong Kong 4 weeks In community PSQI 4

ang 2012 32 6 50 Taiwan 4 days Volunteer PSG 4

u 2012 61 66 58 South Korea 1 day In hospital, post-coronary angiography VSH 4

G = Coronary artery bypass grafting; CCU = Coronary care unit; RCSQ = Richards-Campbell Sleep Questionnaire; PSG = Polysomnography; VAS = Visual

og scale; PAQI = Pittsburgh Sleep Quality Index; VSH = Verran and Synder-Halpern sleeping scale.

Data were not reported.

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C.-F. Wang et al. / International Journal of Nursing Studies 51 (2014) 51–6254

3.3. Sensitivity and subgroup analysis

Exclusion of any single study did not materially alter theoverall SMD, with a range from �0.55 (95% CI: �0.83 to�0.28) to �0.72(95% CI: �0.98 to �0.47). No heterogeneitywas found between subgroups with different average ages,participants from hospital or not, or different geographicallocations. Significant heterogeneity was presented betweenstudies with different follow-up durations, and withsubjective or objective sleep quality assessing methods.Significant pooled effect was only shown in studies withfollow-up duration shorter than 4 days or longer than 2weeks, and with subjective methods (Table 2).

4. Discussion

This study shows music can help to improve thequality of sleep in a wild range of populations, includingpatients after operation with acute sleep disorders, aswell as students in university and elders in communitywith chronic sleep disorders. Similar results were shownin subgroups with different ages or geographicallocations.

Substantial heterogeneity was observed among allstudies. Subgroup analysis found heterogeneity betweensubgroups with objective or subjective methods, and withdifferent follow-up durations, but not between inpatientsand participants out of hospital. The heterogeneity couldmostly be explained by the negative results in studieswhich focused on chronic sleep disorders but with thefollow-up durations less than 3 weeks. Actually, acumulative dose effect was showed in four of the includedstudies (Chan et al., 2010; Harmat et al., 2008; Kullich etal., 2003; Lai and Good, 2005), and the effect reached noplateau after 3 weeks. Previous studies also pointed outthat 3 weeks is a recommended period of time forobserving chronic changes of sleep patterns and theeffects of a new intervention on sleep quality (Chan etal., 2010). It is a follow-up duration less than 3 weeks thatresulted in the absence of positive efficacy of musictherapy for chronic sleep disorders.

Although the results of objective methods have provedto be closely related to subjective sleep quality, especiallythe index of sleep efficiency (Akerstedt et al., 1994;Kushida et al., 2001), no tool is available for acomprehensive assessment of sleep quality with variedobjective indices like the subjective questionnaires, whichmay explains the slight heterogeneity between them.

The consistence of results between participants fromdifferent geographical locations implies that music is a

Fig. 2. Forest plot shows difference of sleep quality between participants with music therapy and control group, expressed as standardized mean difference

(SMD).

Table 2

Subgroup analyses to explore sources of heterogeneity.

Subgroups Sleep quality

Studies SMD (95% CI), p for

heterogeneity

Geographic location

USA and Europe 6 �0.65(�0.91 to �0.38)

Asia 4 �0.61(�1.03 to 0.08)

p = 0.91

Average age (years)

�35 3 �0.47(�1.41 to 0.48)

35–65 3 �0.81(�1.29 to �0.33)

>65 4 �0.60(�0.91 to �0.29)

p = 0.72

Follow-up duration

<4 days 4 �0.74(�1.13 to �0.34)

4 days to 2 weeks 2 0.02(�0.44 to 0.48)

3 weeks to 4 weeks 4 �0.79(�1.21 to �0.37)

p = 0.02

Sleep quality assessing methods

Objective 2 �0.06(�0.60 to 0.48)

Subjective 8 �0.77(�1.04 to �0.50)

p = 0.02

SMD = standardized mean difference.

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C.-F. Wang et al. / International Journal of Nursing Studies 51 (2014) 51–62 55

damental aspect of human experience and deeplyrained in all cultures. Although some studies in Asiad traditional music other than western classic musicich was mostly used in other studies, these musicces are all characterized by a tempo of 60–80 beats perute, slow stable rhythm, low-frequency tones, and

thing and relaxing melodies. Familiarity to thected music may improve the compliance whichuld be considered when implying the music therapyi and Young, 2011).The possible underlying mechanisms are not fullyerstood. As to acute sleep disorders, previous evidencewed that music was effective for pre-operative anxietyccaloni, 2011; Pittman and Kridli, 2011), as well as post-rative pain (Engwall and Duppils, 2009). The improve-nt of sleep quality presented in the studies withtoperative patients can be obviously attributed to thesic-induced relief of anxiety and pain, which may causete sleep disorders. Music acts upon the central nervoustem, especially the deeper, more ancient parts of thein such as limbic system. In addition, music also has anct on the modulation of endogenous opioids andtocin (Bernatzky et al., 2011), which may contribute to

efficacy of music therapy for chronic sleep disorders.ever, more researches are needed to explore the

chanisms of kinds of sleep disorders and how musiccts them in different ways.

Music therapy is low cost and safe, is easy to learn, andld be used readily by nurses in hospital as well aslth-care professionals in community. For peri-opera-

patients, nurses can offer sleep-inducing music to helpm sleep and relax. The accidence of chronic sleeprders is high in elderly people. Health-care profes-als can encourage them to listen to appropriate music

an alternative self-care skill and provide them withquate advice, which may help to improve their qualityleep and life. It should be noted that our results wereited because of the relatively small size of each includeddy, and the efficacy of music for sleep disorders shouldested in larger studies involving populations with acutehronic sleep disorders separately.

When music is used to improve sleep quality, the keyes are the selection of music and the protocol toduct the intervention. Although the pieces of musiccted in previous studies shared in some commonracteristics, some studies identified that the efficacy ofsic is affected by the listeners’ enjoyment of musiclsson, 2011) and preferred music has the mosteficial effects (Lai, 2004). There is a need to compare

different types of music on sleep and investigate how music affects sleep in a different way. A comprehensive

of recommended pieces of music should be developedthe future research, which can offer a wide range ofction to meet various preferences. Standard protocol or

deline to conduct the music therapy has not beenblished. Future researches are needed to determine the

ferred duration of music playing, the appropriate timeplay the music before bedtime, and how to make a

fortable condition which is necessary to ensure theticipants paying all their attention on listening to the

4.1. Limitations

There are several limitations to our analysis. First, thenature of this intervention makes a double-blinding designimpossible. Secondly, the sample size in each study isrelatively small. Thirdly, the quality of some studies isrelatively low. Some earlier studies did not detail themethods to generate the random numbers and/or declarethe concealment of allocation, which got quality scores 2 or3. Fourthly, substantial heterogeneity was presented.Although the major source of heterogeneity was detectedthrough subgroup analysis, uncontrolled or unmeasuredfactors potentially produce bias. Fifthly, the longest follow-up duration was no more than 4 weeks which left it unclearthat whether the efficacy of music can maintain or even bebetter after a longer follow-up. Sixthly, although SMD wasused to pool the results, the difference between varioussubjective methods used in studies could still induce asignificant heterogeneity and bias. Finally, various objec-tive indices were presented by polysomnography, but weonly assessed the sleep efficiency which may miss someother useful information.

5. Conclusion

Music appears to be effective in treating acute andchronic sleep disorders. It is low cost and safe, and could beused to improve sleep quality in various populations withdifferent ages and culture backgrounds, in hospital or incommunity. Our study also gives an indication that musicshows a cumulative dose effect for chronic sleep disorders.A follow-up duration more than three weeks is necessaryfor assessing the efficacy of music, which have animplication for the design of trial evaluating the efficacyof music therapy for chronic sleep disorders.

Conflict of interest: None declared.Funding: None.Ethical approval: None.

Appendix 1. List of the excluded articles and thereasons for exclusion

Wrong exposureAnsfield, M.E., Wegner, D.M., Bowser, R., 1996. Ironic

effects of sleep urgency. Behav. Res. Ther. 34 (7), 523–531.(The effects of low mental load music and high mental load

music were compared.)Gitanjali, B., 1998. Effect of the Karnatic music raga

‘‘Neelambari’’ on sleep architecture. Indian J. Physiol.Pharmacol. 42 (1), 119–122.

(Neelambai rage and Kalyani rage (rage is a kind of classic

Indian Karnatic system of music) were compared.)Lai, H.L., Li, Y.M., Lee, L.H., 2012. Effects of music

intervention with nursing presence and recorded music onpsycho-physiological indices of cancer patient caregivers. J.Clin. Nurs. 21 (5–6), 745–756.

(Two music interventions (music with and without nursing

sence) were compared.)

sic. pre
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C.-F. Wang et al. / International Journal of Nursing Studies 51 (2014) 51–6256

Levin Ia, I., 1997. [‘‘Music of the Brain’’ in the treatment ofinsomnia patients]. Zh. Nevrol. Psikhiatr. Im. S S Korsakova 97(4), 39–43.

Levin Ya, I., 1998. ‘‘Brain music’’ in the treatment of patientswith insomnia. Neurosci. Behav. Physiol. 28 (3), 330–335.

(The ‘brain music’ was investigated in these two studies,

which was created by a program that could transform the

spontaneous bioelectrical activity of the brain to music. The

participants in the exprimental group was treated with their

individual ‘brain music’, while the participants in the control

group with other one’s music.)Robinson, S.B., Weitzel, T., Henderson, L., 2005. The Sh-h-

h-h Project: nonpharmacological interventions. Holist. Nurs.Pract. 19 (6), 263–266.

(A complex intervention was assessed, and music was only a

little part of this intervention.)Wrong outcomeBonnet, M.H., Arand, D.L., 2000. The impact of music upon

sleep tendency as measured by the multiple sleep latency testand maintenance of wakefulness test. Physiol. Behav. 71 (5),485–492.

(The ability to remain awake was used as the outcome.)Bozcuk, H., Artac, M., Kara, A., Ozdogan, M., Sualp, Y.,

Topcu, Z., Karaagacli, A., Yildiz, M., Savas, B., 2006. Does musicexposure during chemotherapy improve quality of life inearly breast cancer patients? A pilot study. Med. Sci. Monit.12 (5), CR200–205.

(The outcome was the quality of life.)de Niet, G., Tiemens, B., van Achterberg, T., Hutschemae-

kers, G., 2011. Applicability of two brief evidence-basedinterventions to improve sleep quality in inpatient mentalhealth care. Int. J. Ment. Health Nurs. 20 (5), 319–327.

(The appliability of music therapy was assessed.)Diaz, M., Larsen, B., 2005. Preparing for successful surgery:

an implementation study. Perm. J. 9 (3), 23–27.(Postoperative pain and perioperative anxity but not the

qulity of sleep were evaluated.)Iwaki, T., Tanaka, H., Hori, T., 2003. The effects of preferred

familiar music on falling asleep. J. Music Ther. 40 (1), 15–26.(The purpose of this study was to examine whether or not

listening to music promotes falling sleep. The quality of sleep was

not assessed.)Wrong populationde Niet, G., Tiemens, B., Hutschemaekers, G., 2010. Can

mental healthcare nurses improve sleep quality for inpa-tients? Br. J. Nurs. 19 (17), 1100–1105.

(The participants were all with severe mental health

problems and in psychiatric admission ward.)Tan, L.P., 2004. The effects of background music on quality

of sleep in elementary school children. J. Music Ther. 41 (2),128–150.

(Elementary school children were involved in this study.)Self-control designBloch, B., Reshef, A., Vadas, L., Haliba, Y., Ziv, N., Kremer, I.,

Haimov, I., 2010. The effects of music relaxation on sleepquality and emotional measures in people living withschizophrenia. J. Music Ther. 47 (1), 27–52.

Hughes, C.M., McCullough, C.A., Bradbury, I., Boyde, C.,Hume, D., Yuan, J., Quinn, F., McDonough, S.M., 2009.Acupuncture and reflexology for insomnia: a feasibilitystudy. Acupunct. Med. 27 (4), 163–168.

Johnson, J.E., 2003. The use of music to promote sleep inolder women. J. Community Health Nurs. 20 (1), 27–35.

Lazic, S.E., Ogilvie, R.D., 2007. Lack of efficacy of music toimprove sleep: a polysomnographic and quantitative EEGanalysis. Int. J. Psychophysiol. 63 (3), 232–239.

Mornhinweg, G.C., Voignier, R.R., 1995. Music forsleep disturbance in the elderly. J. Holist. Nurs. 13 (3),248–254.

Ziv, N., Rotem, T., Arnon, Z., Haimov, I., 2008. The effect ofmusic relaxation versus progressive muscular relaxation oninsomnia in older people and their relationship to personalitytraits. J. Music Ther. 45 (3), 360–380.

Reviewde Niet, G., Tiemens, B., Lendemeijer, B., Hutschemaekers,

G., 2009. Music-assisted relaxation to improve sleep quality:meta-analysis. J. Adv. Nurs. 65 (7), 1356–1364.

De Niet, G.J., Tiemens, B.G., Kloos, M.W., Hutschemaekers,G.J., 2009. Review of systematic reviews about the efficacy ofnon-pharmacological interventions to improve sleep qualityin insomnia. Int. J. Evid Based Healthc 7 (4), 233–242.

Hellstrom, A., Willman, A., 2011. Promoting sleep bynursing interventions in health care settings: a systematicreview. Worldviews Evid Based Nurs. 8 (3), 128–142.

Kozasa, E.H., Hachul, H., Monson, C., Pinto Jr, L., Garcia,M.C., Mello, L.E., Tufik, S., 2010. Mind-body interventions forthe treatment of insomnia: a review. Rev. Bras. Psiquiatr. 32(4), 437–443.

Kwekkeboom, K.L., Cherwin, C.H., Lee, J.W., Wanta, B.,2010. Mind-body treatments for the pain-fatigue-sleepdisturbance symptom cluster in persons with cancer. J. PainSymptom Manage. 39 (1), 126–138.

Not relevant based on AbstractAmbesh, S.P., Kumar, A., Sarkar, P., Bajaj, A., 1991.

Emergence phenomena after ketamine anesthesia: theinfluence of music. Can. J. Anaesth. 38 (6), 800.

Aritake-Okada, S., Kaneita, Y., Uchiyama, M., Mishima, K.,Ohida, T., 2009. Non-pharmacological self-management ofsleep among the Japanese general population. J. Clin. SleepMed. 5 (5), 464–469.

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