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Music to improve sleep quality in adults with depression-related insomnia (MUSTAFI): study protocol for a randomized controlled trial.

ABSTRACT: BACKGROUND:Insomnia is a common sleep disorder for adults with depression, with major impact on their quality of life. Previous trials suggest that listening to music may be helpful in the treatment of sleep disturbances in healthy populations, including students and elderly. In addition, small studies with clinical populations of traumatized refugees, adults with chronic insomnia and adults with depression insomnia add to the evidence base. However, the impact of music listening in the treatment of depression related insomnia is not well documented. OBJECTIVE:To examine the efficacy of music listening on sleep quality, symptoms of depression, and quality of life in adults with depression-related insomnia. METHOD:A single-center randomized controlled trial (RCT) in a two-arm parallel-group design is conducted and reported according to the CONSORT guidelines. The trial consists of an experimental group and a standard care control group. Both groups receive standard treatment for depression following Danish clinical guidelines in an outpatient psychiatry unit. The experimental group listens to music for a minimum of 30?minutes at bedtime for 4 weeks. DISCUSSION:This trial will provide information on the efficacy of music intervention as a non-pharmacological intervention in the treatment of depression-related insomnia. This study will provide novel knowledge concerning music medicine as an evidence-based treatment for depression. TRIAL REGISTRATION:Clinicaltrials.gov. ID NCT03676491, registered on 19 September 2018.

SUBMITTER: Lund HN

PROVIDER: S-EPMC7118840 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Music to improve sleep quality in adults with depression-related insomnia (MUSTAFI): study protocol for a randomized controlled trial.

Lund Helle Nystrup HN Pedersen Inge Nygaard IN Johnsen Søren Paaske SP Heymann-Szlachcinska Agnieszka M AM Tuszewska Maryla M Bizik Gustav G Larsen Jens Ivar JI Kulhay Eszter E Larsen Anelia A Grønbech Bettina B Østermark Helle H Borup Heidi H Valentin Jan Brink JB Mainz Jan J

Trials 20200403 1

<h4>Background</h4>Insomnia is a common sleep disorder for adults with depression, with major impact on their quality of life. Previous trials suggest that listening to music may be helpful in the treatment of sleep disturbances in healthy populations, including students and elderly. In addition, small studies with clinical populations of traumatized refugees, adults with chronic insomnia and adults with depression insomnia add to the evidence base. However, the impact of music listening in the ...[more]

PMID: 32245512

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Project description:Study objectivesInsomnia is a disorder diagnosed based on self-reported sleep complaints. Differences between self-reported and sensor-based sleep parameters (sleep-wake state discrepancy) are common but not well-understood in individuals with insomnia. This two-arm, parallel-group, single-blind, superiority randomized-controlled trial examined whether monitoring sleep using wearable devices and providing support for interpretation of sensor-based sleep data improved insomnia symptoms or impacted sleep-wake state discrepancy.MethodsA total of 113 (age M = 47.53; SD = 14.37, 64.9% female) individuals with significant insomnia symptoms (Insomnia Severity Index(ISI) ≥10) from the community were randomized 1:1 (permuted block randomization) to receive 5 weeks (1) Intervention (n = 57): feedback about sensor-based sleep (Fitbit and EEG headband) with guidance for data interpretation and ongoing monitoring, and (2) Control (n = 56): sleep education and hygiene. Both groups received one individual session and two check-in calls. The ISI (primary outcome), sleep disturbance (SDis), sleep-related impairment (SRI), depression, and anxiety were assessed at baseline and post-intervention.ResultsIn total, 103 (91.2%) participants completed the study. Intention-to-treat multiple regression with multiple imputations showed that after controlling for baseline values, compared to the Control group (n = 51), the Intervention group (n = 52) had lower ISI (p = .011, d = 0.51) and SDis (p = .036, d = 0.42) post-intervention, but differences in SRI, depression, anxiety, and sleep-wake state discrepancy parameters (total sleep time, sleep onset latency, and wake after sleep onset) were not meaningful (P-values >.40).ConclusionsProviding feedback and guidance about sensor-based sleep parameters reduced insomnia severity and sleep disturbance but did not alter sleep-wake state discrepancy in individuals with insomnia more than sleep hygiene and education. The role of sleep wearable devices among individuals with insomnia requires further research.Clinical trial registrationThe Novel Insomnia Treatment Experiment (NITE): the effectiveness of incorporating appropriate guidance for sleep wearables in users with insomnia. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378452, Australia New Zealand Clinical Trials Registry: ACTRN12619001636145.

Project description:Study Objectives: We conducted a meta-analysis to assess the effects of different regular exercise (lasting at least 2 months on a regular basis) on self-reported and physiological sleep quality in adults. Varied exercise interventions contained traditional physical exercise (e.g., walking, cycling) and mind-body exercise characterized by gentle exercise with coordination of the body (e.g., yoga). Methods: Procedures followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Systematical searches were conducted in three electronic databases (PubMed, Embase, and Web of Science) for relevant research that involved adult participants without pathological diseases receiving exercise intervention. The search strategy was based on the population, intervention, comparison, and outcome study design (PICOS) framework. The self-reported outcomes included varied rating scales of Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS). Subgroup meta-analyses of PSQI scores were conducted based on type of exercise, duration of intervention, and participants' age and gender. The physiological outcomes were measured by Actigraph. All meta-analyses were performed in a fixed or random statistic model using Revman software. Results: Twenty-two randomized controlled trials were included in the analysis. The overall analysis on subjective outcomes suggests that exercise interventions significantly improved sleep quality in adults compared with control interventions with lower PSQI (MD -2.19; 95% CI -2.96 to -1.41), ISI (MD -1.52; 95% CI -2.63 to -0.41), and ESS (MD -2.55; 95% CI -3.32 to -1.78) scores. Subgroup analyses of PSQI scores showed both physical and mind-body exercise interventions resulted in improvements of subjective sleep to the same extent. Interestingly, short-term interventions (≤3 months) had a significantly greater reduction in sleep disturbance vs. long-term interventions (>3 months). Regarding physiological sleep, few significant effects were found in various sleep parameters except the increased sleep efficiency in the exercise group vs. control group. Conclusions: Results of this systematic review suggest that regular physical as well as mind-body exercise primarily improved subjective sleep quality rather than physiological sleep quality in adults. Specifically, self-reported sleep quality, insomnia severity, and daytime sleepiness could be improved or ameliorated with treatment of exercise, respectively, evaluated by PSQI, ISI, and ESS sleep rating scales.

Project description:ImportanceSleep disturbances have been linked to increased morbidity and mortality, yet it is unknown whether improving sleep quality in older adult patients with insomnia alters biomarkers of diabetes and cardiovascular disease risk.ObjectiveDetermine the comparative efficacy of cognitive behavioral therapy (CBT), tai chi chih (TCC), and a sleep seminar control (SS) to reduce multisystem biomarkers of disease risk in older adults with insomnia.DesignRandomized controlled comparative efficacy trial.SettingLos Angeles community.ParticipantsA population-based sample of 109 older adults with chronic and primary insomnia.InterventionRandom assignment to CBT, TCC, or SS for 2-h group sessions weekly over 4 months with a 16-month evaluation (1 year after follow-up).Main outcome(s) and measure(s)Multisystem biological risk comprised of 8 biomarkers: high-density lipoprotein, low-density lipoprotein, triglycerides, hemoglobinA1c, glucose, insulin, C-reactive protein, and fibrinogen. Using clinical laboratory cutoffs defined as abnormal, a multisystem risk score was computed representing a sum of the deviation around the cutoffs across the 8 biomarkers. In addition, high risk grouping was classified if subjects exhibited 4 or more biomarkers in the abnormal laboratory range.ResultsAn interaction of time-by-treatment-by-high risk group was found (F(4, 197.2)=3.14, p=.02) in which both TCC (p=.04) and CBT (p=.001) showed significantly lower risk scores as compared to SS at 16-months. CBT reduced risk of being in the high risk group at 4-months (odds ratio [OR]=.21 [95% CI, .03-1.47], p<.10) and at 16-months (OR=.06 [95% CI, .005-.669]; p<.01). TCC reduced the risk at 16-months (OR=.10 [95% CI, .008-1.29]; p<.05) but not at 4 months. Of participants who were classified in the high risk category at baseline, improvements in sleep quality, as defined by a clinical severity threshold, reduced the likelihood of being in the high risk group at 16-months, OR=.08 (95% CI, .008-.78); p=.01.Conclusions and relevanceParticipants classified as having high multisystem biological risk at entry and assigned to CBT or TCC show improvements in risk scores after one year follow-up. Given that these clinical biomarkers are associated with cardiovascular, metabolic, and inflammatory disease risk, improving sleep quality has the potential to reduce the risk of chronic disease in older adults with insomnia. Clinical Trial Registration # and name—ClinicalTrials.gov: NCT00280020, Behavioral Treatment of Insomnia in Aging

Project description:BackgroundCortical hyperarousal and ruminative thinking are common aspects of insomnia that have been linked with greater connectivity in the default mode network (DMN). Therefore, disrupting network activity within the DMN may reduce cortical and cognitive hyperarousal and facilitate better sleep.ObjectiveThis trial aims to establish a novel, noninvasive method for treating insomnia through disruption of the DMN with repetitive transcranial magnetic stimulation, specifically with continuous theta burst stimulation (cTBS). This double-blind, pilot randomized controlled trial will assess the efficacy of repetitive transcranial magnetic stimulation as a novel, nonpharmacological approach to improve sleep through disruption of the DMN prior to sleep onset for individuals with insomnia. Primary outcome measures will include assessing changes in DMN functional connectivity before and after stimulation.MethodsA total of 20 participants between the ages of 18 to 50 years with reported sleep disturbances will be recruited as a part of the study. Participants will then conduct an in-person screening and follow-on enrollment visit. Eligible participants then conduct at-home actigraphic collection until their first in-residence overnight study visit. In a double-blind, counterbalanced, crossover study design, participants will receive a 40-second stimulation to the left inferior parietal lobule of the DMN during 2 separate overnight in-residence visits. Participants are randomized to the order in which they receive the active stimulation and sham stimulation. Study participants will undergo a prestimulation functional magnetic resonance imaging scan and a poststimulation functional magnetic resonance imaging scan prior to sleep for each overnight study visit. Sleep outcomes will be measured using clinical polysomnography. After their first in-residence study visit, participants conduct another at-home actigraphic collection before returning for their second in-residence overnight study visit.ResultsOur study was funded in September 2020 by the Department of Defense (W81XWH2010173). We completed the enrollment of our target study population in the October 2022 and are currently working on neuroimaging processing and analysis. We aim to publish the results of our study by 2024. Primary neuroimaging outcome measures will be tested using independent components analysis, seed-to-voxel analyses, and region of interest to region of interest analyses. A repeated measures analysis of covariance (ANCOVA) will be used to assess the effects of active and sham stimulation on sleep variables. Additionally, we will correlate changes in functional connectivity to polysomnography-graded sleep.ConclusionsThe presently proposed cTBS protocol is aimed at establishing the initial research outcomes of the effects of a single burst of cTBS on disrupting the network connectivity of the DMN to improve sleep. If effective, future work could determine the most effective stimulation sites and administration schedules to optimize this potential intervention for sleep problems.Trial registrationClinicalTrials.gov NCT04953559; https://clinicaltrials.gov/ct2/show/NCT04953559.International registered report identifier (irrid)DERR1-10.2196/51212.

Dataset Information

Music to improve sleep quality in adults with depression-related insomnia (MUSTAFI): study protocol for a randomized controlled trial.

Publications

Music to improve sleep quality in adults with depression-related insomnia (MUSTAFI): study protocol for a randomized controlled trial.

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