Effects of music interventions on sleep in older adults: A systematic review

Sleep quality as a mediator between family function and life satisfaction among Chinese older adults in nursing home

BACKGROUND

The life satisfaction of the elderly in nursing home is the focus of social concern.The purpose of this study was to evaluate the effects of family function and sleep quality on life satisfaction among elderly individuals in nursing homes and examine the mediating effect of sleep quality between family function and life satisfaction.

METHODS

A cross-sectional observational study was conducted .A total of 127 older adults who completed the Life Satisfaction Index A (LSI-A), the Family APGAR Index and the Pittsburgh Sleep Quality Index (PSQI) were recruited from four nursing homes in Chongqing, China.

RESULTS

Life satisfaction was positively correlated with family function (r=0.434, p<0.01) and negatively correlated with PSQI (r = -0.514, p<0.01). PSQI was found to be negatively associated with family function (r=-0.387, p<0.01).Family function had a significant effect on PSQI (path a: β=-0.8459, 95% CI=-1.2029, -0.4889), and PSQI had a significant effect on life satisfaction (path b: β=-0.3916, 95% CI=-0.5407, -0.2425). The total effect (path c) and direct effect (path c') of family function on life satisfaction were significant (β=0.8931, 95% CI=0.5626, 1.2235 and β=0.56181, 95% CI=0.2358, 0.8879, respectively). The coefficient for the indirect effect of family function on life satisfaction through PSQI was statistically significant (β=0.3312, 95% CI=0.1628, 0.5588). PSQI played a partial mediating role between family function and life satisfaction, and PSQI mediated 32.58% of the total effect of family function on life satisfaction.

CONCLUSIONS

Family function and sleep quality were significant predictors of elderly people's life satisfaction in nursing homes. Sleep quality partially mediated the relationship between family function and life satisfaction.The interventions focused on promoting family function and improving sleep quality may be more helpful in improving elderly people's life satisfaction in nursing homes.

Selected Acoustic Frequencies Have a Positive Impact on Behavioural and Physiological Welfare Indicators in Thoroughbred Racehorses

(1) Background: Since antiquity, it is considered that sounds influence human emotional states and health. Acoustic enrichment has also been proposed for domestic animals. However, in both humans and animals, effects vary according to the type of sound. Human studies suggest that frequencies, more than melodies, play a key role. Low and high frequencies, music tuning frequency and even EEG slow waves used for 'neurofeedback' produce effects. (2) Methods: We tested the possible impact of such pure frequencies on racehorses' behavior and physiology. A commercial non-audible acoustic stimulus, composed of an array of the above-mentioned frequencies, was broadcasted twice daily and for three weeks to 12 thoroughbred horses in their home stall. (3) Results: The results show a decrease in stereotypic behaviors and other indicators such as yawning or vacuum chewing, an increase in the time spent in recumbent resting and foraging, and better hematological measures during and after the playback phase for 4 of the 10 physiological parameters measured. (4) Conclusions: These results open new lines of research on possible ways of alleviating the stress related to housing and training conditions in racehorses and of improving physical recovery.

Effectiveness of music-based interventions to address well-being in people with a vision impairment: a scoping review

OBJECTIVES

The objectives of this review were to identify the types of music-based interventions and associated accessibility challenges for people who have visual impairment (VI) and their reported effects on psychological, physiological and social well-being.

DESIGN

A scoping review was developed according to the Joanna Briggs Institute methodology and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist and guidelines. A narrative synthesis was conducted to map out the types of music-based interventions undertaken and to compare the therapeutic outcomes. The studies were evaluated according to the music reporting checklist.

RESULTS

In total 5082 records were identified, 69 full-text articles were screened and 13 studies were included. Eleven studies included younger children and teenagers, two focused on adults with acquired VI. Ten studies involved active music therapy strategies and three used passive music listening. Eleven of the studies focused on social outcomes and two reported mental health. Although the studies reported that music-based intervention strategies improved psychosocial well-being in people with a VI, conclusions could not be drawn as robust outcome measures were not generally used and only four of the studies included any statistical analysis.

CONCLUSIONS

Although potential was evident, details of intervention protocols and training requirements were not sufficiently reported and further, high-quality evidence-based studies are required.

What complex factors influence sleep quality in college students? PLS-SEM vs. fsQCA

Introduction

Sleep quality has a significant impact on the health-related quality of life, particularly among college students. This study proposes a framework for identifying factors that influence college students' sleep quality, including stress, self-control, bedtime habits, and neighborhood environment.

Methods

The study employed a cross-sectional analytical approach on a convenience sample of 255 medical students from a private university in China during the 2021/2022 academic year, of which 80.39% (205) were women. Two complementary methodologies, partial least squares-structural equation modeling (PLS-SEM), and fuzzy sets qualitative comparative analysis (fsQCA), were utilized in the study.

Results

The results of the PLS-SEM analysis suggest that Stress and Self-control act as mediating variables in the model, with Bedtime habits and Neighborhood environment influencing sleep quality through these variables. Additionally, the fsQCA analysis reveals that Bedtime habits and Neighborhood environment can combine with Stress and Self-control, respectively, to influence sleep quality.

Discussion

These findings provide insight into how multiple factors, such as Stress, Self-control, Bedtime habits, and Neighborhood environment, can impact college students' sleep quality, and can be used to develop intervention programs aimed at improving it. Moreover, the use of both methodologies enables the expansion of new methodological approaches that can be applied to different contexts.

Listening to music for insomnia in adults

BACKGROUND

Insomnia is a common problem in modern society. It is associated with reduced quality of life and 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. This Cochrane Review is an update of a review published in 2015.

OBJECTIVES

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

SEARCH METHODS

For this update, we searched CENTRAL, MEDLINE, Embase, nine other databases and two trials registers up to December 2021. In addition, we handsearched 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 comparing the effects of listening to music with no treatment or treatment as usual (TAU) in adults complaining of sleep difficulties.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened records for eligibility, selected studies for inclusion, extracted data and assessed risk of bias of the included studies. We assessed the certainty of the evidence using GRADE. The primary outcomes were sleep quality, insomnia severity, sleep-onset latency, total sleep time, sleep interruption, sleep efficiency and adverse events. Data on the predefined outcome measures were included in meta-analyses when consistently reported by at least two studies that were homogeneous in terms of participants, interventions and outcomes. We undertook meta-analyses using random-effects models.

MAIN RESULTS

We included 13 studies (eight studies new to this update) comprising 1007 participants. The studies examined the effect of listening to prerecorded music daily, for 25 to 60 minutes, for a period of three days to three months. The risk of bias within the studies varied, with all studies being at high risk of performance bias, because of limited possibilities to blind participants to the music intervention. Some studies were at high risk of detection bias or other bias. Four studies reported funding from national research councils, three studies reported financial support from university sources and one study reported a grant from a private foundation. Five studies did not report any financial support. At the end of the intervention, we found moderate-certainty evidence for improved sleep quality measured with the Pittsburgh Sleep Quality Index (PSQI) in themusic groups compared to no intervention or TAU (mean difference (MD) -2.79, 95% confidence interval (CI) -3.86 to -1.72; 10 studies, 708 participants). The PSQI scale ranges from 0 to 21 with higher scores indicating poorer sleep. The size of the effect indicates an increase in sleep quality of the size of about one standard deviation in favour of the intervention. We found no clear evidence of a difference in the effects of listening to music compared to no treatment or TAU on insomnia severity (MD -6.96, 95% CI -15.21 to 1.28; 2 studies, 63 participants; very low-certainty evidence). We found low-certainty evidence that, compared to no treatment or TAU, listening to music may reduce problems with sleep-onset latency (MD -0.60, 95% CI -0.83 to -0.37; 3 studies, 197 participants), total sleep time (MD -0.69, 95% CI -1.16 to -0.23; 3 studies, 197 participants) and sleep efficiency (MD -0.96, 95% CI -1.38 to -0.54; 3 studies, 197 participants), but may have no effect on perceived sleep interruption (MD -0.53, 95% CI -1.47 to 0.40; 3 studies, 197 participants). In addition, three studies (136 participants) included objective measures of sleep-onset latency, total sleep time, sleep efficiency and sleep interruption and showed that listening to music may not improve these outcomes compared to no treatment or TAU. 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 symptoms of insomnia. 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.

Effects of music interventions on sleep in people with dementia: A systematic review

Poor sleep health is a risk factor for and a common symptom of dementia. Music has been shown to improve sleep across a wide range of clinical and community populations. However, it is unclear whether and to what extent music interventions may also help alleviate sleep problems in people with dementia. This systematic review is the first review examining the effects of music on sleep outcomes among people with dementia. In accordance with PRISMA guidelines, we extracted 187 articles from nine databases (Academic Search Premier, Ageline, APA PsycArticles, PsycINFO, CINAHL, Embase, PubMed, Scopus, and Web of Science). Eight studies were eligible for this systematic review (Range sample sizes: 1-59 people with dementia). Results revealed that assessments of sleep in the current literature were limited and mainly focused on sleep duration, subjective sleep quality, or nighttime sleep disturbances. Intervention delivery, music selection, and findings varied. Positive effects of music on sleep outcomes were observed in six out of the eight studies (75%), specifically there were decreases in nighttime sleep disturbances, increases in daytime alertness, and improvements in sleep quality. The remaining two studies found no statistically significant change in sleep outcomes (i.e., daytime sleepiness and quality). Study limitations included small sample sizes and the use of proxy reporters (e.g., caregiver, researcher, blinded clinician) which may reduce the accuracy of the sleep measures. Future research may want to incorporate objectively measured sleep to better understand the role of sleep in dementia care. More research is needed to determine whether music interventions are effective in improving sleep in people with dementia and whether improvements in sleep can slow the progression of dementia.