Actigraph-based quantification of sleep in children with dystonia undergoing deep brain stimulation.

OBJECTIVE: Dystonia is among the most common pediatric movement disorders and can manifest with a range of debilitating symptoms, including sleep disruptions. The duration and quality of sleep are strongly associated with quality of life in these individuals and could serve as biomarkers of dystonia severity and the efficacy of interventions such as deep brain stimulation (DBS). Thus, this study investigated sleep duration and its relationship to disease severity and DBS response in pediatric dystonia. METHODS: Actigraphs (wearable three-axis accelerometers) were used to record multiday sleep data in 22 children with dystonia, including 6 patients before and after DBS implantation, and age- and sex- matched healthy controls. Data were preprocessed, and metrics of sleep duration and quality were extracted. Repeated-measures statistical analyses were used. RESULTS: Children with dystonia slept less than typically developing children (p = 0.009), and shorter sleep duration showed trending correlation with worse dystonia severity (r = -0.421, p = 0.073). Of 4 patients who underwent DBS and had good-quality data, 1 demonstrated significantly improved sleep (p < 0.001) postoperatively. Reduction in dystonia severity strongly correlated with increased sleep duration after DBS implantation (r = -0.965, p = 0.035). CONCLUSIONS: Sleep disturbances are an underrecognized marker of pediatric dystonia severity, as well as the effectiveness of interventions such as DBS. They can serve as objective biomarkers of disease burden and symptom progression after treatment.

Mental illness and sleep disorders among women with gynecological problems.

This retrospective cohort study identifies differences between rates of selected mental illnesses and sleep disorders according to eight gynecological problems. Analyses utilize medical claims data for adult employees of a large corporation during 2017-2021. Women with a gynecological problem (most notably pain, endometriosis, pelvic inflammation and bleeding) are significantly more likely to experience mental illness. Several gynecological problems are also significantly associated with sleep disorders. Women with a gynecological problem (vs. none) are 50% more likely to have a mental health problem and 44% more likely to have a sleep disorder after adjusting for age, marital status, dependent children and year. The largest differences between higher (%) mental illness and sleep disorders appear for hyperplasia (6% vs. 45%), cancer (11% vs. 68%), pelvic inflammation (46% vs. 79%) and pain (79% vs. 43%), respectively. On the other hand, the rate of having one or more gynecological problems ranges from 7.1% for women with no mental illness or sleep disorder to 20.6% for women with schizophrenia. Understanding the association between gynecological problems, mental illness and sleep disorders can help clinicians more effectively identify and treat patients.

Novel electrical therapy to improve sleep disturbance in patients with autoimmune rheumatic diseases.

OBJECTIVES: Sleep disturbance is common in autoimmune rheumatism diseases (ARD) and it plays an important role in activating disease and affects the quality of life. This study aims to evaluate the efficacy and acceptability of the novel electrical therapy on sleep disturbance in ARD patients and its effect on immunologic factors. METHODS: A total of 51 ARD patients (26 treatment group and 25 control group) with sleep disturbance were enrolled in this study. Sleep parameters and immunological indicators (serum level of 12 cytokines and immune function) were collected. The novel electrical therapy was prescribed for 15-30 min 3-6 times a day. The Pittsburg Sleep Index (PSQI) was assessed before and after 3 months' treatment by Mi Energy equipment. Immune function and serum levels of cytokines of all participants at baseline and after treatment were tested with flow cytometry and flow immunofluorescence, respectively. Correlation analysis was used to analyze the relationship between sleep disturbance and immunologic factors. Multiple linear regression analysis was employed to investigate the risk of sleep disturbance in ARD. RESULTS: The global score of PSQI (Baseline: 12.81 ± 4.07, After novel electrical therapy: 4.88 ± 2.76) was effectively improved after 3 months of adjuvant therapy by electrical therapy. We also found that serum levels of IL-8 and IL-1ß statistically significantly decreased after novel electrical therapy. This adjuvant therapy can also significantly decrease the percentage of CD4 + CD8 + T cell, effector memory CD8 + T cell, Memory CD8 + T cell, Th17 cell, and plasma cell and significantly can increase the percentage of naïve CD8 + T cell, Th2 cell, and Tfh2 cell. Nevertheless, all serum level of 12 cytokines and the percentage of immune cells did not correlate with the PSQI global score except the Tc17 cell. Furthermore, age is an independent risk factor influencing PSQI scores (OR = 1.15, p < 0.05) in patients with autoimmune diseases through multiple linear regression analysis. CONCLUSIONS: Novel electrical therapy can effectively improve sleep disturbance in patients with ARD. It can also change the serum level of some cytokines (IL-8 and IL-1ß) and percentage of immune cells (CD4 + CD8 + T cell, effector memory CD8 + T cell, Memory CD8 + T cell, Th17 cell, naïve CD8 + T cell, Th2 cell, Tfh2 cell, and plasma cell).

The Frequency of Neuropsychiatric Sequelae After Traumatic Brain Injury in the Global South: A systematic review and meta-analysis.

This study aimed to assess the prevalence of neuropsychiatric sequelae following traumatic brain injury (TBI) among the Western Asian, South Asian and African regions of the global south. All studies on psychiatric disturbances or cognitive impairment following TBI conducted (until August 2021) in the 83 countries that constitute the aforementioned regions were reviewed; 6 databases were selected for the literature search. After evaluating the articles using the Joanna Briggs Institute guidelines, the random effects model was used to estimate the prevalence of depression, anxiety, post-traumatic stress disorder (PTSD), TBI-related sleep disturbance (TBI-SD), obsessive-compulsive disorder (OCD) and cognitive impairment. Of 56 non-duplicated studies identified in the initial search, 27 were eligible for systematic review and 23 for meta-analysis. The pooled prevalence of depression in 1,882 samples was 35.35%, that of anxiety in 1,211 samples was 28.64%, that of PTSD in 426 samples was 19.94%, that of OCD in 313 samples was 19.48%, that of TBI-SD in 562 samples was 26.67% and that of cognitive impairment in 941 samples was 49.10%. To date, this is the first critical review to examine the spectrum of post-TBI neuropsychiatric sequelae in the specified regions. Although existing studies lack homogeneous data due to variability in the diagnostic tools and outcome measures utilised, the reported prevalence rates are significant and comparable to statistics from the global north.

Poor sleep quality is an important modifiable risk factor for dementia: Population attributable fraction of poor sleep in a Brazilian population-based study.

OBJECTIVES: The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS: A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS: The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS: Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.

Combined impact of sleep and obesity on female infertility in the NHANES 2017-2020.

BACKGROUND: Sleep health and obesity may affect the risk of female infertility. However, few studies focused on the interaction of obesity and sleep health on the female infertility risk. This study aimed to evaluate the combined impact of trouble sleeping / sleep duration and overweight/obesity/ abdominal obesity on the risk of female infertility. METHODS: The data for this cross-sectional study was obtained from National Health and Nutritional Examination Survey, which provided information on trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and confounding factors. Adopted weighted univariate and multivariate logistic regression models to explore the relationship between trouble sleeping, sleep duration, overweight/obesity, abdominal obesity, and the risk of infertility, respectively, and the combined effect of trouble sleeping and overweight/obesity, trouble sleeping and abdominal obesity, sleep duration and overweight/obesity, sleep duration and abdominal obesity, on the female infertility risk. RESULTS: This study included a total of 1,577 women, and 191 were diagnosed with infertility. Women with infertility had a higher proportion of people with overweight/obesity, abdominal obesity, sleep duration ≤ 7 h and trouble sleeping than those with non-infertility. The result indicated that trouble sleeping [odds ratio (OR) = 2.25, 95% confidence intervals (CI): 1.49-3.39], sleep duration ≤ 7 h (OR = 1.59, 95% CI: 1.03-2.48), and the combined impact of abdominal obesity and trouble sleeping (OR = 2.18, 95% CI: 1.28-3.72), abdominal obesity and sleep duration ≤ 7 h (OR = 2.00, 95% CI: 1.17-3.40), overweight/obesity and trouble sleeping (OR = 2.29, 95% CI: 1.24-4.26), and overweight/obesity and sleep duration ≤ 7 h (OR = 1.88, 95% CI: 1.01-3.49) were associated with increased odds of infertility, respectively. CONCLUSION: There was combined effects of trouble sleeping/sleep duration ≤ 7 h and overweight/obesity/ abdominal obesity on increased odds of female infertility.

Sleep Problems and Health Outcomes Among Urban American Indian and Alaska Native Adolescents.

Importance: Adolescent sleep problems are prevalent, particularly among racial and ethnic minority groups, and can increase morbidity. Despite the numerous strengths of their racial and ethnic group, urban American Indian and Alaska Native adolescents face significant health disparities but are rarely included in health research. Understanding how sleep problems are associated with health outcomes among American Indian and Alaska Native adolescents may elucidate novel targets for interventions to promote health equity. Objective: To assess whether baseline sleep problems are associated with changes in behavioral and cardiometabolic health outcomes among urban American Indian and Alaska Native adolescents 2 years later. Design, Setting, and Participants: American Indian and Alaska Native adolescents were recruited via flyers and community events for an observational cohort study in California. Baseline assessments were conducted among 142 adolescents from March 1, 2018, to March 31, 2020, and follow-ups were conducted among 114 adolescents from December 1, 2020, to June 30, 2022. Exposures: Baseline actigraphy-assessed sleep duration and efficiency and self-reported sleep disturbances and social jet lag (absolute value of the difference in sleep midpoint on weekends vs weekdays; indicator of circadian misalignment). Main Outcomes and Measures: Main outcome measures included self-reported depression (measured using the Patient Health Questionnaire), anxiety (measured using the Generalized Anxiety Disorder 7-item scale), past year alcohol and cannabis use, body mass index, systolic blood pressure (SBP) and diastolic blood pressure (DBP), waist circumference, and glycosylated hemoglobin (HbA1c). Analyses examined whether baseline sleep was associated with health outcomes at follow-up, controlling for age, sex, and baseline outcome measures. Results: The baseline sample included 142 urban American Indian and Alaska Native adolescents (mean [SD] age, 14.0 [1.4] years; 84 girls [59%]), 80% of whom (n = 114; mean [SD] age, 14.1 [1.3] years; 71 girls [62%]) completed follow-ups. Linear or logistic regressions showed significant negative associations between shorter sleep duration and depression (ß = -1.21 [95% CI, -2.19 to -0.24]), anxiety (ß = -0.89 [95% CI, -1.76 to -0.03]), DBP (ß = -2.03 [95% CI, -3.79 to -0.28]), and HbA1c level (ß = -0.15 [95% CI, -0.26 to -0.04]) and likelihood of alcohol (odds ratio [OR], 0.57 [95% CI, 0.36-0.91]) and cannabis use (full week: OR, 0.59 [95% CI, 0.35-0.99]) at follow-up. Greater social jet lag was associated with significantly higher SBP (ß = 0.06 [95% CI, 0.01-0.11]) at follow-up. Conclusions and Relevance: This cohort study found significant associations between poor sleep and adverse changes in health outcomes. Findings highlight the importance of developing culturally responsive interventions that target sleep as a key modifiable risk factor to improve the health of American Indian and Alaska Native adolescents.

Sleep features in alcohol use disorder: A systematic review and meta-analysis of polysomnographic findings in case-control studies

Background and objectives Alcohol use disorder (AUD) is often linked to sleep problems, but previous studies on sleep abnormalities in AUD have produced inconsistent results. This study aims to provide a comprehensive analysis of objectively measured sleep abnormalities in AUD and determine the impact of related and demographic factors on sleep disturbance. Methods We conducted a comprehensive search of several databases from 1968 to 2023 to identify relevant studies. A total of 12 studies, consisting of 13 datasets, were included in the analysis. We extracted information on sleep microarchitecture, as well as demographic and clinical features, from each study. The GRADE approach was used to assess the reliability and strength of the evidence. Results Patients with AUD exhibited several sleep abnormalities, including longer sleep onset latency, lower sleep efficiency, increased stage 1 sleep, decreased stage 2 sleep, reduced slow wave sleep, and elevated rapid eye movement (REM) sleep density and first REM minute. The sleep patterns in individuals with AUD were also influenced by factors such as ethnicity, age, gender, and abstinence period. Conclusions This study is the largest quantitative assessment of impaired sleep as a diagnostic marker in patients with AUD. Understanding the sleep patterns of individuals with AUD can assist clinicians in developing effective treatment plans for managing sleep-related symptoms associated with AUD. (AU)

Association between self-perception of the neighborhood environment and sleep problems in older Brazilian adults: findings from ELSI-Brazil.

This study aimed to investigate associations between neighborhood perception and sleep problems in older Brazilian adults. A cross-sectional study was conducted with 5,719 community-dwelling older adults (≥ 60 years) from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2019-2021). The outcomes were self-reported sleep problems: poor sleep quality, daytime sleepiness, primary insomnia complaints, difficulty staying asleep, and waking up at dawn. The exposure variables were questions about the perception of participants about the physical and social environment of the neighborhood. Logistic regression was used in data analysis. Garbage, rubbish, or tall grass on the streets and the desire to move were associated with higher odds of poor sleep quality. Concern about falling due to damaged sidewalks, concern about having difficulties taking transportation, and concern about having difficulties crossing the street were associated with higher odds of all sleep problems. Sound/noise of buses and cars was associated with higher odds of some sleep problems. Perceiving the neighborhood as a good place to live was associated with lower odds of daytime sleepiness and primary insomnia complaints. Trusting most people in the neighborhood and perceiving that kids and younger people treat adults with respect were associated with lower odds of daytime sleepiness, primary insomnia complaints, and waking up at dawn. Being a good place for kids to play and raise teenagers was associated with lower odds of daytime sleepiness. These results can assist public administrators in creating urban planning policies aimed at improving neighborhood environments as a means of health promotion.

Interrelationship of Sleep Disturbances and Cognitive Status on Mortality.

Sleep disturbances may promote the development and advancement of Alzheimer's disease. Our purpose was to determine if sleep disturbances were associated with earlier mortality while accounting for cognition. The National Alzheimer's Coordinating Center database was used to evaluate mortality risk conferred by sleep, and the Montreal Cognitive Assessment score determined cognitive status. Demographics, sleep disturbances, cognitive status, and comorbid/other neuropsychiatric conditions were examined as predictors of survival time via Cox regression. The sample (N = 31,110) had a median age [interquartile range] of 72 [66, 79] years, MoCA score of 23 [16, 26], and survival time of 106.0 months [104.0,108.0]; 10,278 (33%) died during follow-up; 21% (n = 6461) experienced sleep disturbances. Sleep disturbances impacted survival time depending on cognition, with the greatest effect in transition from normal to cognitive impairment (P < .001). Findings support that sleep disturbances negatively impact survival time, and the impact of sleep disturbances on survival time is interrelated with cognition.

Mood and Sleep Quality in Peruvian Medical Students During COVID-19 Pandemic.

INTRODUCTION: The prolongation and consequences of the COVID-19 pandemic have led to an uncertain and devastating panorama in many populations, and the evidence shows a high prevalence of mental health problems in medical students. The objective was to evaluate the association between mood disorders and sleep quality (SQ) in Peruvian medical students during the COVID-19 pandemic. METHODS: A cross-sectional study was conducted on 310 medical students from a private university in Peru. The SQ was measured using the Pittsburgh Sleep Quality Index (PSQI), while mood disorders were evaluated using the Depression Anxiety and Stress Scale-21 (DASS-21). All information was collected by online surveys and then analysed in the R programming language. RESULTS: The SQ results measured by PSQI were poor in 83.9% of the medical students. In the Poison regression analysis, the results of the bivariate analysis in men show that all mood disorders found the prevalence of poor SQ. However, in the multivariate analysis only stress (PRa=1.30; 95% CI, 1.08-1.57; P<0.01) and anxiety (PRa=1.34; 95% CI, 1.09-1.56; P <0.01) increased the prevalence of poor SQ. Women had a similar pattern in bivariate analysis, whereas in multivariate analysis, only severe stress (PRa=1.15; 95% CI, 1.01-1.29; P <0.05) increased the prevalence of poor SQ. CONCLUSIONS: This study allows us to observe the consequences that the COVID-19 pandemic is having on medical students in Peru. It also revealed a population group vulnerable to poor quality of sleep and bad mood, which in the future will impact on health. It is suggested to educate medical students about the importance of proper sleep hygiene and the consequences of poor sleep hygiene practices.

Impact of switching to injectables cabotegravir and rilpivirine on sleep disturbances in a cohort of people living with HIV.

BACKGROUND: Recently, injectable cabotegravir/rilpivirine (ICAB/RPV) became available for HIV treatment. However, there are no real-life data on the impact of switching to ICAB/RPV on sleep disturbances (SD). Therefore, we aimed at assessing and investigating this aspect in our cohort. METHODS: A SD multidimensional assessment (Epworth Sleepiness scale, Insomnia severity Index, Berlin Questionnaire, and Pittsburg Sleep Quality Index, PSQI) was performed to all people who consented before starting ICAB/RPV and 12 wk after the switch. Demographics, life-style habits, laboratory, and clinical data were collected from medical health records. RESULTS: To June 2023, 46 people were included, 76.1% males, with a median age of 48.5 (IQR: 41-57), 50% had multimorbidity, 13% was on polypharmacy. Median age with HIV and CD4 + T cell count nadir were 10 (5-19.5) years and 360 (205-500) cell/mm3, respectively. The reason to start a long-acting strategy was person's choice in all cases. Baseline antiretroviral regimens were mostly: tenofovir alafenamide/emtricitabine/rilpivirine (39.1%) and dolutegravir/lamivudine (32.6%). No significant changes were observed in any of the scores for each questionnaire, but for a worsening PSQI. 37% people reported a subjectively improved sleep quality, even if statistically significant changes were not observed in almost all the sleep parameters. CONCLUSIONS: To the best of our knowledge, this is the first study exploring impact of switching to ICAB/RPV on SD. Despite integrase inhibitor have been associated with SD, we did not observed a negative impact on sleep quality after the switch to ICAB/RPV. More studies and with larger number of people are necessary to confirm our results.

Inferring skin-brain-skin connections from infodemiology data using dynamic Bayesian networks.

The relationship between skin diseases and mental illnesses has been extensively studied using cross-sectional epidemiological data. Typically, such data can only measure association (rather than causation) and include only a subset of the diseases we may be interested in. In this paper, we complement the evidence from such analyses by learning an overarching causal network model over twelve health conditions from the Google Search Trends Symptoms public data set. We learned the causal network model using a dynamic Bayesian network, which can represent both cyclic and acyclic causal relationships, is easy to interpret and accounts for the spatio-temporal trends in the data in a probabilistically rigorous way. The causal network confirms a large number of cyclic relationships between the selected health conditions and the interplay between skin and mental diseases. For acne, we observe a cyclic relationship with anxiety and attention deficit hyperactivity disorder (ADHD) and an indirect relationship with depression through sleep disorders. For dermatitis, we observe directed links to anxiety, depression and sleep disorders and a cyclic relationship with ADHD. We also observe a link between dermatitis and ADHD and a cyclic relationship between acne and ADHD. Furthermore, the network includes several direct connections between sleep disorders and other health conditions, highlighting the impact of the former on the overall health and well-being of the patient. The average R 2 for a condition given the values of all conditions in the previous week is 0.67: in particular, 0.42 for acne, 0.85 for asthma, 0.58 for ADHD, 0.87 for burn, 0.76 for erectile dysfunction, 0.88 for scars, 0.57 for alcohol disorders, 0.57 for anxiety, 0.53 for depression, 0.74 for dermatitis, 0.60 for sleep disorders and 0.66 for obesity. Mapping disease interplay, indirect relationships, and the key role of mediators, such as sleep disorders, will allow healthcare professionals to address disease management holistically and more effectively. Even if we consider all skin and mental diseases jointly, each disease subnetwork is unique, allowing for more targeted interventions.

Quality of sleep in individuals with systemic sclerosis and its correlation with functional disability and quality of life: a cross-sectional study.

OBJECTIVE: This study aimed to evaluate the quality of sleep in individuals with systemic sclerosis and its correlation with the quality of life and disability. METHODS: This is a cross-sectional study, carried out in a tertiary service of a university hospital. Inclusion criteria were diagnosis of systemic sclerosis according to the criteria of the American College of Rheumatology/European League Against Rheumatism 2013 or the preliminary criteria of the American College of Rheumatology 1980, age ≥ 18 years; regularly monitored at the outpatient clinic of rheumatology. Clinical and demographic data of the patients were obtained through a structured interview and evaluation of the medical records. Sleep quality was assessed using the Pittsburgh Sleep Quality Index questionnaire, daytime sleepiness using the Epworth Sleepiness Scale, quality of life using 12-item short-form health survey, and disability using the scleroderma health assessment questionnaire. RESULTS: A total of 50 patients with systemic sclerosis were included, with 92% female, mean age 48.9 years, mean disease duration 8.9 years, and 60% limited cutaneous form. Most systemic sclerosis patients (84%) have poor sleep quality and 20% have excessive daytime sleepiness. There was a significant negative correlation between Pittsburgh Sleep Quality Index and the physical and mental components of the 12-item short-form health survey (r=-0.42, p=0.003 and r=-0.43, p=0.002, respectively) and a positive correlation with the scleroderma health assessment questionnaire (r=0.52, p=<0.001). CONCLUSION: This study showed that poor sleep quality is a very common finding among systemic sclerosis patients, and it negatively affects both the quality of life and the degree of disability. Sleep quality is an unmet need in patients with systemic sclerosis Poor sleep quality is very common in patients with systemic sclerosis Poor sleep quality correlated with worse quality of life and greater disability.

Association between sleep disorders and physical activity in middle-aged Americans: a cross-sectional study from NHANES.

BACKGROUND: Among the numerous studies on physical activity and sleep disorders, few have focused on physical activity and sleep disorders in middle-aged people who are particularly stressed. A restricted cubic web (RCS) technique was applied to determine whether physical activity and the self-rated prevalence of sleep disorders exhibit a dose-response relationship in middle-aged adults. METHODS: This study analyzed 8880 middle-aged adults aged 40-65 years who participated in the National Health and Nutrition Examination Survey (NHANES) 2007-2018. Logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) between physical activity and sleep disorders in middle-aged adults. Thereafter, the dose-response connection was examined using RCS. RESULTS: After adjusting for potential confounders, subjects with MET values in the first quartile (Q1) had odds ratios (OR) for sleep disturbance of 0.851 (95% CI = 0.745-0.973), 0.800 (95% CI = 0.698-0.917), and 0.780 (95% CI = 0.680-0.895) compared to subjects with MET values in the second, third, and fourth quartiles respectively. RCS regression showed a non-linear association between physical activity and sleep disorders in middle-aged adults (non-linearity P = 0.0382). Furthermore, the prevalence of sleep disorders in middle-aged adults decreased with increasing physical activity, reaching a minimum when weekly physical activity was around 166.27MET*h (OR = 0.885, 95% CI = 0.799-0.981). CONCLUSION: Our research demonstrates that physical activity was negatively associated with sleep disorders.

[Association between the clustering of adverse childhood experiences and sleep quality in middle-aged and older Chinese adults].

Objective: To examine the association between the clustering of adverse childhood experiences (ACEs) and sleep quality in middle-aged and older Chinese adults. Methods: Data were from the Life History Survey in 2014 and the third wave follow-up survey in 2015 of China Health and Retirement Longitudinal Study (CHARLS). A total of 10 824 participants aged 45 years and above were included in this study. According to the number of ACEs, the participants were divided into four groups: 0, 1, 2-3 and≥4 ACEs. The multivariate logistic regression model was used to analyze the association of ACEs clustering with inappropriate sleep duration and poor sleep quality in middle-aged and older adults. Results: Among the 10 824 participants with an average age of (60.83±9.06) years, 5 211 (48.14%) were males. About 6 111 participants (56.64%) had inappropriate sleep duration, and 3 640 participants (33.63%) had poor sleep quality. After adjusting for covariates including gender, age, residence, marital status, education, household consumption, BMI, smoking, drinking, and depression in adulthood, compared with the 0 ACE group, the risk of inappropriate sleep duration was significantly increased in the 2-3 ACEs group and≥4 ACEs group, while ORs (95%CIs) were 1.26 (1.12-1.41) and 1.43 (1.23-1.66), respectively. The risk of poor sleep quality in the 2-3 ACEs group and≥4 ACEs group was also significantly higher than that in the 0 ACE group, while ORs (95%CIs) were 1.28 (1.12-1.46) and 1.53 (1.29-1.80), respectively. Conclusion: ACEs clustering in childhood could negatively affect sleep duration and quality in middle-aged and older Chinese adults.

Sleep disturbance in clinical and preclinical scrapie-infected sheep measured by polysomnography.

Neurodegenerative diseases are characterised by neuronal loss and abnormal deposition of pathological proteins in the nervous system. Among the most common neurodegenerative diseases are Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease and transmissible spongiform encephalopathies (TSEs). Sleep and circadian rhythm disturbances are one of the most common symptoms in patients with neurodegenerative diseases. Currently, one of the main objectives in the study of TSEs is to try to establish an early diagnosis, as clinical signs do not appear until the damage to the central nervous system is very advanced, which prevents any therapeutic approach. In this paper, we provide the first description of sleep disturbance caused by classical scrapie in clinical and preclinical sheep using polysomnography compared to healthy controls. Fifteen sheep classified into three groups, clinical, preclinical and negative control, were analysed. The results show a decrease in total sleep time as the disease progresses, with significant changes between control, clinical and pre-clinical animals. The results also show an increase in sleep fragmentation in clinical animals compared to preclinical and control animals. In addition, sheep with clinical scrapie show a total loss of Rapid Eye Movement sleep (REM) and alterations in Non Rapid Eyes Movement sleep (NREM) compared to control sheep, demonstrating more shallow sleep. Although further research is needed, these results suggest that prion diseases also produce sleep disturbances in animals and that polysomnography could be a diagnostic tool of interest in clinical and preclinical cases of prion diseases.

Association between magnesium deficiency score and sleep quality in adults: A population-based cross-sectional study.

BACKGROUND: The association between magnesium status and sleep quality is unclear. The aim of this study was to determine the relationship between renal reabsorption-related magnesium depletion score (MDS) and sleep quality. METHODS: This study was conducted through a cross-sectional survey of adults aged ≥20 years who participated in NHANES 2005-2014. We used weighted logistic regression to examine the association between MDS and sleep quality and performed trend tests to analyze for the presence of a dose-response relationship. Subgroup analyses were performed based on various sleep outcomes and covariates. RESULTS: A total of 20,585 participants were included in the study, with a mean age of 48.8 years and 50.7 % female. After adjusting for all covariates, we found a graded dose-response relationship between MDS and sleep trouble as well as sleep disorder. Further analyses revealed a significant positive association between MDS and sleep apnea (OR = 3.01; 95 % CI 1.37-6.62), but no association with restless legs, insomnia or insufficient sleep. In addition, subgroup analyses revealed that middle-aged, male, obese, low magnesium intake, and depressed patients were more prone to sleep trouble and sleep disorder; interestingly, MDS was positively associated with excessive sleep in subjects ≥60 years and without depression. CONCLUSIONS: Our study found a significant association between MDS and sleep quality, particularly sleep apnea, but adequate magnesium intake may be beneficial in mitigating this association. MDS may be associated with excessive sleep in older adults, but not with insufficient sleep or insomnia.