scholarly journals Does bedtime music listening improve subjective sleep quality and next-morning well-being in young adults? A randomized cross-over trial

2021 ◽  
Author(s):  
Nadyanna M. Majeed ◽  
Verity Y. Q. Lua ◽  
Jun Sen Chong ◽  
Zoey Lew ◽  
Andree Hartanto

Previous research has found that young adults exhibit patterns of poor sleep, and that poor sleep is associated with a host of negative psychological consequences. One potential intervention to improve sleep quality is listening to music at bedtime. While there exist previous works investigating the efficacy of listening to music as a form of sleep aid, these works have been hindered by statistically weak designs, a lack of systematic investigation of critical characteristics of music which may affect its efficacy, and limited generalizability. In light of the limitations in the existing literature, a 15-day randomized cross-over trial was carried out with 62 young adults. Participants completed five nights of bedtime listening to each condition (happy music vs. sad music vs. pink noise, which acted as an active control condition) over three weeks. Upon awakening each morning, participants rated their subjective sleep quality, current stress, positive and negative affective states, and current life satisfaction. Frequentist and Bayesian multilevel modeling revealed that happy and sad music was both beneficial for subjective sleep quality and next-morning well-being, compared to the pink noise condition; potential nuances are discussed. The current study bears potential practical applications for healthcare professionals and lay individuals.

2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.


2021 ◽  
Vol 31 (3-4) ◽  
pp. 149-158
Author(s):  
Nadyanna M. Majeed ◽  
Verity Y. Q. Lua ◽  
Jun Sen Chong ◽  
Zoey Lew ◽  
Andree Hartanto

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1954-1954
Author(s):  
Gabrielle F Gloston ◽  
S. Justin Thomas ◽  
Sarah Maxwell ◽  
Jeffrey D. Lebensburger ◽  
Julie Kanter ◽  
...  

Abstract Introduction: Poor sleep quality is common across the lifespan in patients with sickle cell disease (SCD) and has been associated with pain, mood disruption, and fatigue. The Pittsburgh Sleep Quality Index (PSQI) examines sleep quality in both pediatric and adult patients with chronic health conditions, including in adolescents and young adults (AYAs) with SCD. The AYA period is particularly salient for patients with SCD given the potential onset of chronic pain during this developmental period and increased risk for complications during transition. Previous studies have relied on the PSQI total score rather than examining specific domains of sleep quality. In addition, prior studies have mostly focused on either pediatric or adult patients rather than examining AYAs as a group. This study examined specific PSQI sleep domains to identify characteristics that may be impaired in AYAs with SCD. This approach may allow for a multidimensional understanding of sleep in AYAs with SCD and may identify specific targets for intervention. Methods : We performed a retrospective chart review of AYA patients with SCD who completed the PSQI as part of a clinical pilot program. Patients included all types of SCD between 13-25 years. We recorded the PSQI and demographic and medical characteristics (age, sex, SCD type, CBC, and SCD treatments). Descriptive data from PSQI subdomains (sleep duration, latency, efficiency, needing medication to sleep, subjective sleep quality, and mid-sleep time [mid-point between sleep onset and offset]) were examined for adolescents (ages 13 to 18) and young adults (ages 19 to 25) to identify sleep characteristics (table 1). A mean PSQI score > 5 is categorized as having poor sleep quality. Chi-square and Fisher's exact test were used to compare age differences in characteristics for adolescents versus young adults. Results : Eighty-nine AYAs with SCD (mean age: 18.9±3.5 years; 51 female, 38 male) completed the PSQI. Patients were evenly distributed across adolescent (n = 46) and young adult groups (n = 43). SCD genotypes included: HbSS (n = 58), HbSC (n = 15), HbSb + (n = 9), HbSb 0 (n = 3), HbSO-Arab (n = 2), and unknown (n = 2). Adolescents and young adults did not significantly differ for sex, SCD genotype, CBC, or current therapies (all p .3). Average total PSQI scores for adolescents and young adults were 6.26 and 9.02, respectively. Most adolescents (52%) and young adults (84%) reported poor sleep quality (total PSQI score > 5). Thirty nine percent of adolescents rated their sleep duration as less than 7 hours compared to over half of young adults (56%). Many adolescents (59%) and young adults (44%) endorsed a mild to moderate amount of sleep disturbance, with many young adults (47%) also reporting a high amount of sleep disturbance. A large percentage of young adults (68%) and some adolescents (37%) reported prolonged sleep latency and subsequent daytime dysfunction due to sleepiness [adolescents (63.0%) and young adults (77%)]. Sleep efficiency was inadequate in 59% of adolescent and 72% of young adults. More young adults (35%) than adolescents (7%) reported needing medication to sleep. Despite noted sleep deficiencies, subjective sleep quality was frequently rated as "very good" or "fairly good" by adolescents (91%) and young adults (72%). Midsleep time serves as a proxy for chronotype (morning or night person). Mean midsleep time was 4.75 and 4.95 in young adult and adolescent participants, indicating a late chronotype. Among sleep domains, sleep latency, subjective sleep quality, needing medication to sleep, and overall sleep quality were worse among young adults versus adolescents (p = .002 to .012). Conclusion : Adolescents and young adults with SCD had poor sleep quality across multiple PSQI domains. Young adults also reported poorer sleep quality in certain domains versus adolescents, suggesting that some sleep characteristics may worsen during transition. Results highlight the need to be vigilant for sleep problems and the need for sleep education for AYAs with SCD. Future studies focused on the efficacy of behavioral sleep medicine interventions that target sleep deficiencies in AYAs with SCD are also important. This study was limited by using a convenience sample rather than a random sample of patients from the clinic. This study is also cross-sectional and longitudinal efforts are needed to better understand the evolution of sleep difficulties during the AYA developmental period. Figure 1 Figure 1. Disclosures Lebensburger: Bio Products Laboratory: Consultancy; Novartis: Consultancy. Kanter: Fulcrum Therapeutics, Inc.: Consultancy; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Forma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees; Beam: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Graphite Bio: Consultancy; GuidePoint Global: Honoraria; Fulcrum Tx: Consultancy.


2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705


Author(s):  
Seyed Valiollah Mousavi ◽  
Elham Montazar ◽  
Sajjad Rezaei ◽  
Shima Poorabolghasem Hosseini

Background and Objective: Physiological process of sleep is considered as one of the influential factors of human’s health and mental functions, especially in the elderly. This research aimed at studying the association between sleep quality and the cognitive functions in the elderly population. Materials and Methods: A total of 200 elderly people (65 years and older) who were the members of retirees associa-tion in Mashhad, Iran, participated in this cross-sectional study. The participants were asked to answer the questionnaire of Pittsburgh Sleep Quality Index (PSQI) and Montreal Cognitive Assessment (MoCA) test. Correlation between the total scores of PSQI and MoCA was evaluated by Pearson correlation coefficient. In order to predict the cognitive func-tion based on different aspects of PSQI, multiple regression analysis by hierarchical method was used after removing confounding variables. Results: A significant association was found between PSQI and MoCA (P < 0.001, r = -0.55) suggesting that the com-ponents of use of sleeping medication (P < 0.001, r = -0.47), sleep disorders (P < 0.001, r = -0.37), sleep latency (P < 0.001, r = -0.34), subjective sleep quality (P < 0.001, r = -0.32), sleep duration (P < 0.001, r = -0.27), sleep effi-ciency (P < 0.001, r = -0.26), and daytime dysfunction (P < 0.001, r = -0.15) had significant negative correlation with cognitive function, and the four components of subjective sleep quality (P = 0.010, β = -0.15), sleep latency (P = 0.040, β = -0.13), sleep disorders (P = 0.010, β = -0.26), and use of sleeping medication (P = 0.010, β = -0.26) played a role in prediction of cognitive function in regression analysis. Conclusion: Poor sleep quality, sleep latency, insomnia, sleep breathing disorder, and use of sleeping medication play a determining role in cognitive function of the elderly. Thus, taking care of the sleep health is necessary for the elderly.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Teresa Arora ◽  
Mariapaola Barbato ◽  
Shaikha Al Hemeiri ◽  
Omar M. Omar ◽  
Maryam A. AlJassmi

Abstract Background Interoception is mental awareness, recognition and acknowledgement of physiological body signals. Understanding the role of sleep and interoception may provide a better understanding surrounding the sleep-health connection. Our primary objective was to examine the potential relationships between subjective sleep quality and multiple dimensions of interoceptive abilities in a large sample of young adults, a group who are vulnerable to sleep impairment and its widespread health consequences. Methods We conducted an online cross-sectional survey targeting young adults, aged 18–25 years. The Pittsburgh Sleep Quality Index (PSQI) was used to identify subjective sleep quality and the Multidimensional Assessment of Interoceptive Awareness Version 2 was used to assess eight domains of interoception. We conducted a series of Spearman’s bivariate correlations to assess the relationships between global sleep quality as well as the seven PSQI sub-components in relation to the eight interoception outcomes. We then conducted quantile regression to assess if global PSQI score was an independent predictor of interoception. Participants (n = 609) consented and provided data. Results After adjustment, the global PSQI was a significant predictor of ‘Non-Distracting’, ‘Emotional Awareness’ and ‘Trusting’, where β = − 0.10 (95% CI: − 0.14, − 0.07), β = 0.05 (0.01, 0.09), and β = − 0.10 (− 0.14, − 0.05), respectively. Conclusions Our findings reveal a small, significant relationship between sleep quality and interoceptive abilities amongst young adults. Sleep impairment may inhibit interoceptive skills, thus adding value to the mechanistic explanation of the sleep-health relationship. Experimental and prospective studies are needed to determine temporal associations.


2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.


Author(s):  
Nirmegh Basu ◽  
Akansha Saxena ◽  
Ayushi Sarraf ◽  
Anoop Singh ◽  
Akshanshi Gulani ◽  
...  

Irregular sleep patterns are often a major hindrance in the life of undergraduate students, fueled by the undulating lifestyle anomalies and new vulnerabilities that come with college life. Insomnia, slapdash sleep cycles, and daytime dysfunction may affect both physical as well as mental well-being of individuals. India has the largest share of young adults in the world, which also makes it a likely epicenter for increasing sleep disorders. Students are often exposed to a significantly high level of academic burden and turn to options such as pulling all-nighters that further propel these issues. Most students realize the effects of a bad sleep schedule but nonetheless sacrifice it for the promise of better grades ignoring the double-edged sword. This study assesses the association of self-rated subjective sleep quality with habits prevalent among undergraduate students in India and its effect on their academic performance. Based on a modified PSQI questionnaire, the participants’ sleep quality was scored and a large majority of students showed an overall moderately good sleep quality. Insufficient sleep was seen to have an adverse effect on facial appearance, work productivity and enthusiasm for daily chores, among students. Unlike previous reports, the current dataset did not reveal any significant impact of sleep quality on the academic performance of the students. We also analyzed the most prevalent factors that were responsible for disruption of sleep in college goers and probed the major reasons for nighttime phone usage, which revealed social media to be a major contributor. Although the negative impact of sleep deprivation on academic performance has been studied earlier, any differential impact of stream has not been addressed thoroughly. Unlike the common belief of disparity induced due to stream-based academic pressure, our survey analysis showed insignificant contribution of stream leading to differences in sleep quality of students. Although participants’ reported mild disruption in sleep, it was observed across all streams and it did not seem to have an immediate effect on overall sleep quality of undergraduate students.


2017 ◽  
Author(s):  
Cameron Brick

The aim of the current study was to determine whether subjective sleep quality was reduced in medical students, and whether demographics and sleep hygiene behaviors were associated with sleep quality. A web-based survey was completed by 314 medical students, containing questions about demographics, sleep habits, exercise habits, caffeine, tobacco and alcohol use, and subjective sleep quality (using the Pittsburgh Sleep Quality Index). Correlation and regression analyses tested for associations among demographics, sleep hygiene behaviors, and sleep quality. As hypothesized, medical students’ sleep quality was significantly worse than a healthy adult normative sample (t=5.13, p&lt;.001). Poor sleep quality in medical students was predicted by several demographic and sleep hygiene variables, and future research directions are proposed.Brick, C., Seely, D. L., &amp; Palermo, T. M. (2010). Association between sleep hygiene and sleep quality in medical students. Behavioral Sleep Medicine, 8(2), 113–121. https://www.tandfonline.com/doi/abs/10.1080/15402001003622925


2019 ◽  
Vol 6 (4) ◽  
pp. 192-199
Author(s):  
R.S. Schierholz ◽  
I. Zavgorodniy ◽  
S. Darius ◽  
I. Böckelmann

ASSOCIATIONS OF GENERAL MENTAL HEALTH SYMPTOMS WITH SUBJECTIVE SLEEP QUALITY AND INDIVIDUAL DAYTIME SLEEPINESS Schierholz RS, Zavgorodniy I., Darius S., Böckelmann I. Purpose: Sufficient sleep quality plays a significant role for long-term physical and mental health. The aim of this study was to examine the associations of general mental health symptoms with sleep quality and daytime sleepiness. Materials and Methods: A cross-sectional survey with 84 included participants (female: n = 42, male: n = 42) was conducted. General mental health symptoms were assessed using the 12-item General Health Questionnaire (GHQ-12), sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI), and daytime sleepiness was evaluated with the Epworth Sleepiness Scale (ESS). Statistical differences were calculated using two-sample t-test and Mann-Whitney U test. For correlation analyses Spearman’s rank correlation was used. Results: Subjects with poor sleep quality reached higher scores in the GHQ-12 and in the ESS than subjects with good sleep quality, but the difference regarding the ESS was not significant. Higher GHQ-12 scores were associated with higher PSQI scores but not with higher ESS scores. Conclusions: Major findings show strong evidence of an association between general mental health symptoms and sleep quality with poor sleepers having a more disturbed mental health than good sleepers. Further evidence of the interrelationship between subjective sleep quality and general mental health symptoms was found. Keywords: Mental health, Work ability, Stress, Sleep, Insomnia   Абстракт ЗВ’ЯЗОК ЗАГАЛЬНИХ СИМПТОМІВ ПСИХІЧНОГО ЗДОРОВ'Я З СУБ'ЄКТИВНОЮ ЯКІСТЮ СНУ ТАІНДИВІДУАЛЬНОЮ ДЕННОЮ СОНЛИВІСТЮ Робін Себастьян Шірхольц*, Ігор Завгородній, Сабіна Даріус, Ірина Беккельман Мета: Достатня якість сну відіграє важливу роль для тривалого фізичного та психічного здоров’я. Метою цьогодослідження було вивчення залежності загальних симптомів психічного здоров’я від якісті сну та денноїсонливості. Матеріали та методи: Було проведено перехресне опитування за участю 84 учасників (жінки: n = 42, чоловіки: n= 42). Загальні симптоми психічного здоров’я оцінювали за допомогою Анкети загального здоров’я (GHQ-12), яка містить 12 пунктів; якість сну оцінювали за допомогою Пітсбургського опитувальника якості сну (PSQI), а денну сонливість оцінювали за Шкалою сонливості Епворта (ESS). Статистичні відмінності розраховувались за допомогою двопробного t-тесту та U-тесту Манна-Вітні. Для кореляційного аналізу було використано рангову кореляцію Спірмена. Результати: Суб'єкти з низькою якістю сну показали більш високі показники у GHQ-12 та ESS, ніж суб'єкти із хорошою якістю сну, але різниця щодо ESS була несуттєвою. Більш високі показники GHQ-12 були пов'язані з більш високими показниками PSQI, але не з більш високими показниками ESS. Висновки: Основні результати виявляють вагомі докази зв'язку між загальними симптомами психічного здоров’я та якістю сну людей, які погано сплять, та людей з міцним сном. У людей з поганим сном більш виражені порушення психічного здоров’я. Були знайдені додаткові докази взаємозв'язку між суб'єктивною якістю сну та загальними симптомами психічного здоров'я. Ключові слова: Психічне здоров'я, працездатність, стрес, сон, безсоння    Абстракт СВЯЗЬ ОБЩИХ СИМПТОМОВ ПСИХИЧЕСКОГО ЗДОРОВЬЯ С СУБЪЕКТИВНЫМ КАЧЕСТВОМ СНА И ИНДИВИДУАЛЬНОЙ ДНЕВНОЙ СОНЛИВОСТЬЮ Робин Себастьян Ширхольц, Игорь Завгородний, Сабина Дариус, Ирина Беккельманн Цель: Достаточное качество сна играет важную роль для долгосрочного физического и психического здоровья. Целью данного исследования было изучение связи общих симптомов психического здоровья с качеством сна и дневной сонливостью. Материалы и методы. Было проведено перекрестное исследование с 84 участниками (женщины: n = 42, мужчины: n = 42). Общие симптомы психического здоровья оценивали с использованием Общего опросника здоровья (GHQ-12), содержащего 12 пунктов; качество сна оценивали с помощью Питтсбургского опросника качества сна (PSQI), а дневную сонливость оценивали по Шкале сонливости Эпворта (ESS). Статистические различия рассчитывали с использованием двухпробного t-теста и U-теста Манна-Уитни. Для корреляционного анализа была использована ранговая корреляция Спирмена. Результаты: Субъекты с плохим качеством сна показали более высокие баллы в GHQ-12 и в ESS, чем субъекты с хорошим качеством сна, но разница в отношении ESS не была значительной. Более высокие показатели GHQ-12 были связаны с более высокими показателями PSQI, но не с более высокими показателями ESS. Выводы: Основные результаты обнаруживают убедительные доказательства связи между общими симптомами психического здоровья и качеством сна людей, которые плохо спят, и людей с крепким сном. У людей с плохим сном более выражены нарушения психического здоровья. Были найдены дополнительные доказательства взаимосвязи между субъективным качеством сна и общими симптомами психического здоровья. Ключевые слова: психическое здоровье, трудоспособность, стресс, сон, бессонница


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