This study aimed to explore the effects of eye masks on the sleep quality and pain of school-age children with CHD after surgery.

Forty school-age children with CHD who underwent open-heart surgery in the Cardiac Surgery Department of a provincial hospital in China from January 2020 to December 2020 were selected. The children were randomly divided into the experimental group (n = 20) and the control group (n = 20). Children in the control group were given routine sleep care, and the children in the experimental group were given a sleep intervention with eye masks for three nights following the removal of tracheal intubation. The Pittsburgh Sleep Quality Index was used to evaluate the sleep quality of the children. The Children’s Pain Behaviour Scale was used to evaluate the pain of the children.

After three nights of receiving the eye masks intervention, the sleep quality scores of the children in the experimental group were significantly lower than those of the control group, the difference was statistically significant (p < 0.05) and the sleep quality of the children in the experimental group was higher. The pain scores of the children in the experimental group were significantly lower than those of the children in the control group, the difference was statistically significant (p < 0.05), and the children in the experimental group suffered less post-operative pain.

Eye masks are a simple, safe and economical intervention, that is beneficial for improving the post-operative sleep quality and relieving post-operative pain in school-age children with congenital heart disease.

Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development.

This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge.

Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted.

Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = −1.15, 95% CI = −1.70, −0.33) or death (adjusted B = −1.55, 95% CI = −2.62, −0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = −0.26, 95% CI = −0.31, −0.20), anxiety symptoms (adjusted B = −0.25, 95% CI = −0.33, −0.17), post-traumatic stress disorders (adjusted B = −0.16, 95% CI = −0.22, −0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10).

COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.

To examine the feasibility and possible effect of an 8-week exercise program on sleep quality, insomnia and psychological distress in individuals with multiple sclerosis (MS).

Twenty-four individuals with MS were recruited into a controlled pre-post feasibility study and divided into 2 groups: exercise (n = 13; Expanded Disability Status Scale (EDSS): 1.0–7.5) and a related control group with no exercise (n = 11; EDSS: 1.0–7.0). The exercise group performed combined upper limb, lower limb and breathing exercises in a controlled group (2d/week, 60 min/session) for 8 weeks. Participants were administered measures to evaluate sleep quality (Pittsburgh Sleep Quality Index, PSQI), insomnia severity (Insomnia Severity Index, ISI), psychological distress (Clinical Outcomes in Routine Evaluation–Outcome Measure, CORE-OM) and additionally impact of fatigue (Modified Fatigue Impact Scale, MFIS) after 8-weeks.

Insomnia severity measured with ISI (F(1;22)=5.95, p = 0.023, ηp2 = 0.213, 90% CI = 0.02–0.42) and psychological distress measured with the CORE-OM (F(1;22)=4.82, p = 0.039, ηp2 = 0.179, 90% CI = 0.01–0.40) showed statistically significant group-by-time interaction. Sleep quality measured with the PSQI showed statistically significant group-by-time interaction only in an aspect of daytime sleep dysfunction (F(1;22)=5.33, p = 0.031, ηp2 = 0.195, 90% CI = 0.01–0.40). The fatigue impact measured with the MFIS showed statistically significant group-by-time interaction in physical (F(1;22)=6.80, p = 0.016, ηp2 = 0.236, 90% CI = 0.02–0.44) and cognitive aspects (F(1;22)=9.12, p = 0.006, ηp2 = 0.293, 90% CI = 0.05–0.49), and total score (F(1;22)=11.29, p = 0.003, ηp2 = 0.339, 90% CI = 0.08–0.52).

Our 8-week program reduced insomnia severity, psychological distress and some aspects of fatigue (physical; cognitive; total), and improved sleep quality in an aspect of daytime sleep dysfunction in a small group of individuals with MS. Good feasibility and significant positive changes from baseline warrant further exploratory work.

Sleep represents an important process in the stable behavioural and emotional functioning of the individual and is an important health indicator. Personality is related with academic and occupational achievement, quality of interpersonal relationships, but also with sleep. Concerning personality, individuals with lower emotional stability have greater sensitivity to stress and maladaptive sleep-related behaviour.

The main goal of this study is to analyze the relation between sleep quality and personality in college students.

This study employed a correlational design. A sample of 220 Portuguese students (84.9% females), with mean age of 19.5 years (sd=3.4), from different health courses, filled in the Pittsburgh Sleep Quality Questionnaire and HEXACO-60, during a single individual session. A descriptive statistical analysis, a Pearson correlation analyses and the t Student test, for independent samples, were performed.

The results showed a predominance of poor sleep quality among students (96.3%). The more prevalent HEXACO dimensions are: Conscientiousness (X=32.6; sd=4.2) and Emotionality (X=31.2; sd=5.2). When exploring personality differences between sleep groups (GSG=Good Sleep Group; PSG=Poor Sleep Group) a significant difference was found in mean scores of the dimension Emotionality. It was observed that the PSG revealed higher levels of Emotionality than the GSG (PSG=31.5; sd=5.1; PSG=26.3; sd=4.0; p<.05).

College students self-report a poor sleep and the prevalent personality dimensions are Conscientiousness and Emotionality. Students with higher levels of Emotionality (fearfulness, anxiety, dependence and sentimentality) presented a poor sleep. To conclude, mediation studies are needed in order to better understanding the link between personality and sleep.

Sleep disorders are a substantial public health issue with serious consequences on patients’ quality of life. Cannabis has been recently suggested as a potential treatment for patients with sleep disorders; however, research on the relationship between cannabis and sleep is still in its infancy.

The aim of this investigation was to assess whether cannabis use was associated with improved sleep quality.

Our study comprised 173 participants, 42 cannabis users and 131 non-cannabis users, who completed the Pittsburgh Sleep Quality Index (PSQI), the most common self-reported measure of sleep quality. The scale provides a global PSQI score and seven component domain scores, including subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime functions.

Cannabis users self-reported statistically significantly healthier scores than non-cannabis users in the global PSQI as well as the specific domains of subjective sleep quality, sleep latency, as well as sleep disturbances.

This preliminary evidence points to the possibility that cannabis could provide effective treatment for patients with sleep disorders. Research into the constituents of cannabis that may have a differential impact on sleep and sleep disorders is warranted.

Sleep disturbances can occur as a result of major stressful events. Additionally, research evidence suggests that COVID-19 pandemic may have negatively impacted the quality of sleep among various populations. However, individuals respond differently to the stress, uncertainty and social isolation related with COVID-19 pandemic.

This study aimed to explore the changes in sleep quality and pattern among voluntary psychiatric patients visiting our clinic in Romania during COVID-19 pandemic.

We implemented a cross-sectional study over a period of 3 months, utilizing a Romanian-translated version of the Pittsburgh Sleep Quality Index (PSQI) which was administered through Google Forms web application. Participants lacking digital skills were provided with guidance for completing the questionnaire. Informed consent was obtained prior to participating in this study and data anonymity and confidentiality were ensured.

Among a total of 98 responders, 63% reported a global PSQI score greater than 5, indicating poor sleep. Approximately 25% of participants subjectively marked their sleep as either fairly bad or very bad. When analysing the 7 components of PSQI, our participants struggled most with long sleep latency. About a third of participants reported using sleep medication (both prescription and over-the-counter) three or more times a week within the past month.

Considering the fact that the current situation is likely to evolve for an unknown period of time, there is a dire need to assess the effect of prolonged adjustments in daily routine and their impact on the sleep and the quality of life of our patients.

Although sleep hygiene is a well-studied factor of good sleep (Irish et al., 2015, McNail et al., 2016), less is known about its role in the complaints on anxiety and depression (wither direct or through sleep quality).

The aim was to reveal direct and indirect effects of sleep behavior on subjective sleep quality, anxiety and depression.

174 people aged 17-57 without diagnosed sleep disorders filled the Scale of Behavioral Factors of Sleep Disturbances (Rasskazova, Leonov, 2020), Insomnia Severity Index (Morin, 1993), Hospital Scale of Anxiety and Depression (Zingmond, Snaith, 1983), Beck’s Anxiety and Depression Inventories (Beck, Steer, 1993, Beck et al., 1996).

Taking medications and non-medications before sleep, alcohol, tonic drinks and using gadgets in the evening, delaying bedtime, self-limitations after poor nights, poor adherence to the regimen and postponement of the morning rise were characterized by an indirect effect on anxiety and depressiveness through poor sleep (|β|=0,03-0,24). Self-limiting behavior and delaying the morning rise are associated with higher levels of anxiety and depression, even in the absence of sleep-related complaints (β=0,23-0,34, p<0,01).

Based on the data we suggest that the dysfunctional role of behavior on anxiety and depression is predominantly indirect (through the perpetuation of complaints), but it can also be direct (regardless of complaints of sleep disorders). Research is supported by the Russian Foundation for Basic Research, project No. 20-013-00740.

Research is supported by the Russian Foundation for Basic Research, project No. 20-013-00740.

Poor sleep is a modifiable risk factor for multiple disorders. Frontline treatments (e.g. cognitive-behavioral therapy for insomnia) have limitations, prompting a search for alternative approaches. Here, we compare manualized Mindfulness-Based Therapy for Insomnia (MBTI) with a Sleep Hygiene, Education, and Exercise Program (SHEEP) in improving subjective and objective sleep outcomes in older adults.

We conducted a single-site, parallel-arm trial, with blinded assessments collected at baseline, post-intervention and 6-months follow-up. We randomized 127 participants aged 50–80, with a Pittsburgh Sleep Quality Index (PSQI) score ⩾5, to either MBTI (n = 65) or SHEEP (n = 62), both 2 hr weekly group sessions lasting 8 weeks. Primary outcomes included PSQI and Insomnia Severity Index, and actigraphy- and polysomnography-measured sleep onset latency (SOL) and wake after sleep onset (WASO).

Intention-to-treat analysis showed reductions in insomnia severity in both groups [MBTI: Cohen's effect size d = −1.27, 95% confidence interval (CI) −1.61 to −0.89; SHEEP: d = −0.69, 95% CI −0.96 to −0.43], with significantly greater improvement in MBTI. Sleep quality improved equivalently in both groups (MBTI: d = −1.19; SHEEP: d = −1.02). No significant interaction effects were observed in objective sleep measures. However, only MBTI had reduced WASOactigraphy (MBTI: d = −0.30; SHEEP: d = 0.02), SOLactigraphy (MBTI: d = −0.25; SHEEP: d = −0.09), and WASOPSG (MBTI: d = −0.26; SHEEP (d = −0.18). There was no change in SOLPSG. No participants withdrew because of adverse effects.

MBTI is effective at improving subjective and objective sleep quality in older adults, and could be a valid alternative for persons who have failed or do not have access to standard frontline therapies.

To examine associations between serum micronutrients and neurobehavioural function and the mediating role of sleep quality in early adolescents.

In this cross-sectional study, peripheral blood samples were analysed for Fe and Zn levels. The Pittsburgh Sleep Quality Index and Penn Computerized Neurocognitive Battery were used to assess sleep quality and neurobehavioural function, respectively. The logistic/linear regressions and generalised structural equation modelling were performed to estimate the associations.

Jintan, China

In total, 226 adolescents (106 females) from the Jintan Child Cohort study.

Adolescents with low Fe (<75 μg/dl) (OR = 1·29, P = 0·04) and low Zn (<70 μg/dl) (OR = 1·58, P < 0·001) were associated with increased odds for poor sleep quality. Adolescents with low Fe and Zn were associated with fast (Fe: β = –1353·71, P = 0·002, Zn: β = –2262·01, P = 0·02) but less-accurate (Fe: β = –0·97, P = 0·04; Zn: β = –1·76, P = 0·04) performance on non-verbal reasoning task and poor sleep quality partially mediated the associations between low Fe/Zn and non-verbal reasoning (P < 0·05). Additionally, low Fe was associated with a slower reaction on spatial processing task (β = 276·94, P = 0·04), and low Zn was associated with fast (β = –1781·83, P = 0·03), but error-prone performance (β = –1·79, P = 0·04) on spatial processing ability and slower reaction speed (β = 12·82, P = 0·03) on the attention task. We observed similar trends using a cut-off point of 75 μg/dl for low serum Zn, except for the association with attention task speed (P > 0·05).

Fe and Zn deficiencies may possibly be associated with poor sleep and neurobehavioural function among early adolescents. Poor sleep may partially mediate the relationship between micronutrients and neurobehavioural function.

Because of inconsistent findings regarding the relationship between sleep quality and cognitive function in people with age-related memory complaints, we examined how self-reports of sleep quality were related to multiple domains of both objective and subjective cognitive function in middle-aged and older adults.

A cross-sectional study involving analysis of baseline data, collected as part of a clinical trial.

Two hundred and three participants (mean age = 60.4 [6.5] years, 69.0% female) with mild memory complaints were asked to rate their sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and their memory performance using the Memory Functioning Questionnaire (MFQ), which measures self-awareness of memory ability. Neurocognitive performance was evaluated using the Continuous Performance Test (CPT), Trail Making Test, Buschke Selective Reminding Test, and the Brief Visuospatial Test – Revised (BVMT-R).

Total PSQI scores were significantly associated with objective measures of sustained attention (CPT hit reaction time by block and standard error by block) and subjective memory loss (MFQ frequency and seriousness of forgetting). The PSQI components of (poorer) sleep quality and (greater) sleep disturbance were related to (worse) sustained attention scores while increased sleep latency and daytime sleepiness were associated with greater frequency and seriousness of forgetting.

Sleep quality is related to both objective measures of sustained attention and self-awareness of memory decline. These findings suggest that interventions for improving sleep quality may contribute not only to improving the ability to focus on a particular task but also in reducing memory complaints in middle-aged and older adults.

Schizophrenia is a chronic and potentially devastating disease. Patients with schizophrenia have severe and persistent sleep disturbance. Sleep deprivation may foster poor functioning and high levels of thought disorder, hostility, and excitement. Sleep deprivation in patients with schizophrenia have a negative impact on HRQoL. This study was done, as definitive study, to determine the sleep quality and quality of life in schizophrenia.

72 schizophrenic inpatients treated in a mental health care centre with the diagnosis of schizophrenia between March 1st and May 31st, 2009 were included to the study. The data was gathered through personal data forms, PSQI and WHOQOL-Brief Turkish Version.

It was found that there was a meaningful relationship between the age, sleep quality and quality of life of the patients (p< 0.05), it was also defined that sleep quality decreased as the age increased and quality of life decreased since the quality of sleep was decreased. The life quality points, except physical field, of the patients who live alone, hospitalized more than three times a year, do not use their medicine regularly were defined low.

There is a close relationship between the sleep quality and quality of life of the schizophrenia. As the sleep quality diminished, their quality of life decreases. The quality of life of the schizophrenia may be increased by regulating their sleep pattern and supporting their adoption to the illness.

To examine the association between food insecurity and child sleep outcomes and to investigate whether parent psychosocial factors mediate such associations.

Cross-sectional study. Usual wake time and bedtime, bedtime routine and sleep quality were reported by parents using the adapted Brief Infant Sleep Questionnaire. Food insecurity was assessed using the eighteen-item US Department of Agriculture Household Food Security Module. Parent psychosocial factors, including perceived stress, parenting self-efficacy and depressive symptomology, were assessed using validated scales. Multivariable logistic regression models were performed to determine the association between food insecurity and sleep outcomes controlling for potential confounders. Mediation analyses and Sobel tests were applied to test the mediating effect of psychosocial factors.

Head Start pre-school classrooms in four regions across central Pennsylvania, USA.

Low-income children of pre-school age (n 362) and their caregivers.

Prevalence of household, adult and child food insecurity was 37·3, 31·8 and 17·7 %, respectively. Food security status at any level was not associated with child sleep duration or bedtime routine. Child food insecurity, but not household or adult food insecurity, was associated with 2·25 times increased odds (95 % CI 1·11, 4·55) of poor child sleep quality in the adjusted model. Perceived stress, self-efficacy and depressive symptomology mediated less than 2 % of the observed effect (all Sobel test P > 0·6).

Food insecurity, particularly at the child level, is a potential modifiable risk factor for reducing sleep-related health disparities in early childhood. Future studies are needed to explore the plausible mechanisms underlying the associations between food insecurity and adverse child sleep outcomes.

Frailty is associated with cognitive decline in older adults. However, the mechanisms explaining this relationship are poorly understood. We hypothesized that sleep quality may mediate the relationship between frailty and cognition.

154 participants aged between 50-90 years (mean = 69.1 years, SD = 9.2 years) from the McKnight Brain Registry were included.

Participants underwent a full neuropsychological evaluation, frailty and subjective sleep quality assessments. Direct relationships between frailty and cognitive function were assessed using linear regression models. Statistical mediation of these relationships by sleep quality was assessed using nonparametric bootstrapping procedures.

Frailty severity predicted weaker executive function (B = −2.77, β = −0.30, 95% CI = −4.05 – −1.29) and processing speed (B = −1.57, β = −0.17, 95% CI = −3.10 – −0.16). Poor sleep quality predicted poorer executive function (B = −0.47, β = −0.21, 95% CI = −0.79 – −0.08), processing speed (B = −0.64, β = −0.28, 95% CI = −0.98 – −0.31), learning (B = −0.42, β = −0.19, 95% CI = −0.76 – −0.05) and delayed recall (B = −0.41, β = −0.16, 95% CI = −0.80 – −0.31). Poor sleep quality mediated the relationships between frailty severity and executive function (B = −0.66, β = −0.07, 95% CI = −1.48 – −0.39), learning (B = −0.85, β = −0.07, 95% CI = −1.85 – −0.12), delayed recall (B = −0.47, β = −0.08, 95% CI = −2.12 – −0.39) and processing speed (B = −0.90, β = −0.09, 95% CI = −1.85 – −0.20).

Relationships between frailty severity and several cognitive outcomes were significantly mediated by poor sleep quality. Interventions to improve sleep quality may be promising avenues to prevent cognitive decline in frail older adults.

The current study compares the measures of sleep quality and intensity of insomnia based on the clustering analysis of variables including dysfunctional beliefs and attitudes about sleep, experiential avoidance, personality traits of neuroticism, and complications with emotion regulation among the individuals struck by an earthquake in Kermanshah Province.

This study is a cross-sectional study that was carried out among earthquake victims of Kermanshah Province (western Iran) in 2017. Data were gathered starting 10 days after the earthquake and lasted for 2 weeks; of 1,200 standard questionnaires distributed, 1,001 responses were received, and the analysis was performed using 999 participants. The data analysis was carried out using a cluster analysis (K-mean method).

Two clusters were identified, and there is a significant difference between these two clusters in regard to all of the variables. The cluster with higher mean values for the selected variables shows a higher intensity of insomnia and a lower sleep quality.

Considering the current results, it can be concluded that variables of dysfunctional attitudes and beliefs about sleep, experiential avoidance, the personality traits of neuroticism, and complications with emotion regulation are able to identify the clusters where there is a significant difference in regard to sleep quality and the intensity of insomnia. (Disaster Med Public Health Preparedness. 2019;13:745–752)

The objective of this study was to assess determinants of poor sleep quality which is an under-diagnosed and under-treated problem in elderly patients with diabetes mellitus, hyperlipidemia and hypertension.

Poor sleep quality is linked to decreased quality of life, increased morbidity and mortality. Poor sleep quality is common in the elderly population with associated cardiometabolic risk factors such as diabetes, hyperlipidemia and hypertension.

This is a cross-sectional study undertaken in the primary healthcare setting (Singhealth Polyclinics-Outram) in Singapore. Singaporeans aged 65 years and above who had at least one of the three cardiometabolic risk factors (diabetes, hypertension and hyperlipidemia) were identified. Responders’ sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and were divided into those with good quality sleep and those with poor quality sleep, based on the PSQI score. Information on demographics, co-morbidities and lifestyle practices were collected. Descriptive and multivariate analyses of determinants of poor sleep were determined.

There were 199 responders (response rate 88.1%). Nocturia (adjusted prevalence rate ratio 1.54, 95% confidence interval 1.06–2.26) was found to be associated with an increased risk of poor sleep quality in elderly patients with diabetes mellitus, hypertension and hyperlipidaemia. Nocturia, a prevalent problem in the Asian elderly population, has been found to be associated with poor sleep quality in our study. Hence, it is imperative to identify and treat patients with nocturia to improve sleep quality among them.

Very few recent studies are available that compare caregiver burden, sleep quality, and stress in caregivers of different types of dementia. We aimed to investigate caregiver burden, sleep quality, and stress in caregivers of patients with frontotemporal lobar degeneration and dementia with Lewy bodies, as compared with caregivers of patients with Alzheimer's disease.

This study was carried out from March 2011 to January 2014. In total, 492 dyads of patient and caregiver (frontotemporal lobar degeneration, n = 131; dementia with Lewy bodies, n = 36; Alzheimer's disease, n = 325) participated in this study. We compared patients with respect to the Neuropsychiatric Inventory and caregivers with respect to the Zarit Caregiver Burden Interview, Pittsburgh Sleep Quality Index, Patient Health Questionnaire-9, and Generalized Anxiety Disorder scale.

Frontotemporal lobar degeneration and dementia with Lewy bodies patients presented significantly more neuropsychiatric symptoms compared to Alzheimer's disease patients. Caregivers of frontotemporal lobar degeneration and dementia with Lewy bodies patients experienced significantly more burden compared to Alzheimer's disease caregivers. Furthermore, among caregivers of both frontotemporal lobar degeneration and dementia with Lewy bodies patients burden was predicted by the neuropsychiatric symptoms, PHQ-9 scores, and GAD-7 scores.

The frequency and severity of behavioral disturbances in patient and caregiver stress accounted for the increased caregiver burden, which suggests that frontotemporal lobar degeneration and dementia with Lewy bodies caregivers should receive more support than is currently available.