Sleep Quality Variables Research Articles

Magnetic Garments Promote Parasympathetic Dominance and Improve Sleep Quality in Male Long-Distance Runners Following a 30 km Run

This study aimed to investigate the effects of high-intensity running on the autonomic nervous system and sleep quality of male long-distance runners and to examine the impact of wearing magnetic garments on these parameters. Fifteen highly trained male collegiate long-distance runners participated in a randomized, double-blind crossover study. Participants completed two 30 km runs (30k-RUN) during a 10-day training camp. After each run, they wore either magnetic (MAG) or non-magnetic control (CTRL) garments. Sleep quality and heart rate variability (HRV) were assessed using a wrist-worn device before and after each 30k-RUN. Wearing MAG garments post-30k-RUN resulted in significantly longer deep sleep duration compared to CTRL. HRV analysis revealed that the MAG condition led to a significantly higher root mean square of successive RR interval differences and high-frequency power, indicating enhanced parasympathetic activity. The low-frequency to high-frequency ratio was significantly lower in MAG than in CTRL. Perceived recovery scores were significantly higher in MAG than in CTRL. The findings of this study suggest that wearing magnetic garments following high-intensity endurance running may promote parasympathetic dominance and improve sleep quality in male long-distance runners. These findings indicate that magnetic garments may be a practical method for enhancing recovery in athletes following intense training.

Pediatric obstructive sleep apnea-related risk factors: A cross-sectional study.

This study investigated obstructive sleep apnea (OSA)-related risk factors in children and adolescents. Records of 187 subjects from a private medical clinic were reviewed. Overnight polysomnography recordings and self/parent reports were gathered. Descriptive analysis of sociodemographic, anthropometric, sleep quality and sleep architecture variables and OSA diagnosis were performed. Associations between independent variables and OSA diagnosis were assessed through multivariable logistic regression with robust variance, with a significance level of 5%. Results: 132 participants were diagnosed with OSA, and 55 were classified as "no OSA" (29.41%). Those overweight or obese were 4.97 times more likely to have OSA than those with normal weight (P= 0.005). Those who reported loud snoring were 2.78 times more likely to have OSA than those who reported mild or moderate snoring intensity. A one-unit increase in arousal index leads to 1.39 increase in the odds ratio (OR) of individuals diagnosed with OSA (P < 0.001), and each one-unit increase in sleep efficiency leads to 1.09 higher odds of not having OSA (P= 0.002). Significantly increased OSA-related risk factors among overweight/obese children and adolescents and among those who had a parental/self-report of loud snoring were found.

Problematic Use of Smartphones and Social Media on Sleep Quality of High School Students in Mexico City.

Smartphones, internet access, and social media represent a new form of problematic behavior and can affect how teens sleep. A cross-sectional design was employed to examine the prevalence and association of problematic internet use and problematic smartphone use with sleep quality in a non-probability sample of 190 high school students in Mexico. The internet-related experiences questionnaire (IREQ), the mobile-related experiences questionnaire (MREQ), and the Pittsburgh Sleep Quality Index (PSQI) were used. The study revealed that 66% of participants exhibited some form of problematic internet use, primarily in the form of social media use; 68% had some form of problematic smartphone use, and 84% reported poor sleep quality. The PSQI score was most accurately predicted by problematic smartphone use (MREQ), followed by enrollment in the morning school shift, participation in sports, the father's education level, and knowledge that "smartphone use disturbs sleep", which together explained 23% of the variation in sleep quality. Excessive smartphone use may negatively affect sleep quality in adolescents. We recommended that interventions be implemented to educate adolescents about appropriate and healthy use of technology, in parallel with the promotion of preventive sleep habits.

Variations in objectively measured sleep parameters in patients with different premature ejaculation syndromes.

Poor sleep quality is now a cause of sexual dysfunction. To investigate variations in sleep quality among patients with different types of premature ejaculation (PE) and a control group. Patients with PE were categorized into groups according to 4 types: lifelong (LPE), acquired (APE), variable (VPE), and subjective (SPE). Basic demographic information about the participants was first collected, and then clinical data were obtained. Outcomes included the 5-item International Index of Erectile Function, Premature Ejaculation Diagnostic Tool, 7-item Generalized Anxiety Disorder, 9-item Patient Health Questionnaire, Pittsburgh Sleep Quality Index, self-estimated intravaginal ejaculation latency time (minutes), and sleep monitoring parameters obtained from a wearable device (Fitbit Charge 2). A total of 215 participants were enrolled in the study, of which 136 patients with PE were distributed as follows: LPE (31.62%), APE (42.65%), VPE (10.29%), and SPE (15.44%). Subjective scales showed that patients with APE were accompanied by a higher prevalence of erectile dysfunction, anxiety, and depression, as well as poorer sleep quality (assessed by the Pittsburgh Sleep Quality Index). The results of objective sleep parameters revealed that average durations of sleep onset latency (minutes) and wake after sleep onset (minutes) in patients with APE (mean ± SD; 20.03 ± 9.14, 55 ± 23.15) were significantly higher than those with LPE (15.07 ± 5.19, 45.09 ± 20.14), VPE (13.64 ± 3.73, 38.14 ± 11.53), and SPE (14.81 ± 4.33, 42.86 ± 13.14) and the control group (12.48 ± 3.45, 37.14 ± 15.01; P < .05). The average duration of rapid eye movement (REM; minutes) in patients with APE (71.34 ± 23.18) was significantly lower than that in patients with LPE (79.67 ± 21.53), VPE (85.93 ± 6.93), and SPE (80.86 ± 13.04) and the control group (86.56 ± 11.93; P < .05). Similarly, when compared with the control group, patients with LPE had significantly longer durations of sleep onset latency and wake after sleep onset and a significantly shorter duration of REM sleep. Our study suggests that clinicians should pay attention not only to male physical assessment but also to mental health and sleep quality. This study suggests that changes in sleep structure occur in patients with PE, which may provide some direction for future research. However, the cross-sectional study design does not allow us to conclude that sleep is a risk factor for PE. After controlling for traditional parameters such as age, erectile dysfunction, anxiety, and depression, sleep parameters are independently associated with PE. Patients with APE and LPE show significant alterations in sleep parameters, with patients with APE having notably poorer sleep quality, whereas patients with VPE and SPE have sleep parameters similar to controls.

Actigraphy-assessed sleep duration and quality and executive function in a sample of typically developing preschoolers.

Sleep is essential for cognitive development and brain maturation during early childhood. Studies focused on preschool populations using objective measures of sleep are still scarce. The objective of this study was to examine the associations between objective measures of sleep duration and quality with executive functioning in a 133 non-clinical sample of Spanish participants (Mage = 60.33 months, SD = 9.04; ages 41-77 months; 51.1% girls). Sleep was assessed for five weeknights using actigraphy; Shape School task was applied to assess inhibition and cognitive flexibility; and Word Span task was used to assess working memory. The results revealed that relation between sleep and executive functioning was significant for inhibition and working memory. Preschoolers with higher sleep efficiency showed better results in executive functioning tasks after controlling for the effect of age. Additionally, age and sleep duration and quality variables were predictive of inhibition, working memory, and cognitive flexibility. These results suggest that the different dimensions of sleep could play an important role in the development of executive functions during preschool age. Therefore, improving sleep could lead to an improvement in children's executive functioning in both clinical and educational contexts.

Prediction of stress level in military submariners, based on physical conditioning and sleep quality variables

The objective of the study was to predict the level of stress in military submariners based on physical fitness and sleep quality variables. Cross-sectional and correlational research, with a sample of 40 male submariners (28.70±3.98 years old). Body mass and composition data were analyzed (MCT), height, BMI, waist, body fat (%G), dominant handgrip (PMDom), cardiorespiratory fitness (VO2max), squats, sit-ups, relative power of lower limbs (PotRel MMII), stress (PSS-10), Epworth Sleepiness Assessment (ESE) and Pittsburgh Sleep Quality Index (PSQI). Overall, negative associations (p&lt;0.05) were observed between VO2max and MCT, BMI, %BF, and waist; PotRel MMII and age and %BF; squat and %G; sit-up and MCT, BMI, %BF and waist; and finally, stress and VO2max and sit-up. Furthermore, positive associations (p&lt;0.05) between BMI and MCT; %BF and MCT and BMI; waist and age, BMI, MCT, and %BF; squats and PMdom., VO2max and PotRel MMII; sit-ups and VO2max, PotRel LL and squats; ending with PSQI and stress. Furthermore, among the stress level prediction equation models developed, the equation Stress=15.92+1.538(PSQI)-0.497(VO2max)+0.188(Squat) met the proposed requirements, which is based on sleep quality, cardiorespiratory fitness, and number of squats. Keywords: Submariner; stress, physical fitness, sleep quality, military personal.

Evaluation of Prenatal Comfort, Sleep, and Quality of Life in Pregnant Women with Cholestasis: A Cross-Sectional Study.

Associated with adverse pregnancy outcomes, intrahepatic cholestasis of pregnancy is the most prevalent liver disease that women typically experience during pregnancy. This study aimed to evaluate prenatal comfort, sleep, and quality of life in pregnant women with cholestasis. This cross-sectional study was implemented between November 2022 and June 2023 at Mardin Training and Research Hospital with 150 pregnant women who received a diagnosis of pregnancy-induced intrahepatic cholestasis and agreed to participate. The following tools were utilized to collect data: A personal information form exploring socio-demographic and obstetric characteristics of participants, the Prenatal Comfort Scale (PCS), the Pittsburgh Sleep Quality Index (PSQI), and the World Health Organization Quality of Life-Brief Form (WHOQOL-BREF). The mean age of participants was 27.79 ± 6.33 years. The mean PCS and PSQI scores were 61.20 ± 5.84 and 9.52 ± 3.02, respectively. The mean scores of "physical health, psychological health, social relationships, and environmental health" sub-dimensions in WHOQOL-BREF were 10.63 ± 2.18, 10.48 ± 2.10, 11.31 ± 3.28, and 11.27 ± 2.10, respectively. A significant difference was found for PSQI regarding hospitalization status and change in sleep quality variables (p = 0.025 and p = 0.035, respectively). Cholestasis of pregnancy creates problems such as pruritus, body image changes, hospitalization, and poor sleep quality in women. This study showed that pregnant women with cholestasis had low levels of sleep quality and quality of life, implying that cholestasis affects their sleep quality, prenatal comfort levels, and quality of life in general. In addition, it is seen that women with this problem do not want to fall pregnant again.

Association Between Perceived Noise Pollution and Sleep Quality: Findings from the 2018 Community Health Survey.

This study aimed to investigate the potential relationship between sleep quality and perceived noise. A cross-sectional study involving 185,246 adults (81,854 men and 103,392 women) participating in the 2018 Korea Community Health Survey (KCHS) was conducted. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while perceived noise pollutants were categorized into two groups: perceived noise pollution (n = 43,638) and perceived non-noise pollution (n = 141,608). We used chi-square tests and independent sample t tests to compare differences between the perceived noise group and the non-perceived noise group, as well as multivariate logistic regression analysis to calculate adjusted odds ratios (OR) for sleep quality variables. The perceived noise pollution group had significantly poor psychosocial variables (stress, depression assessed by Patient health questionnaire-9 (PHQ-9)) than the perceived non-noise pollution group. Poor sleep quality (PSQI > 5) was associated with perceived noise pollution (OR 1.33, 95% confidence interval (CI) 1.30-1.36, P < 0.001). In addition, sleep quality (OR 1.09; 95% CI 1.06-1.13, P < 0.001); sleep latency (OR 1.11; 95% CI 1.09-1.14, P < 0.001); sleep duration (OR 1.10; 95% CI 1.07-1.13, P < 0.001); sleep efficiency (OR 1.20; 95% CI 1.16-1.25, P < 0.001); sleep disturbance (OR 1.46; 95% CI 1.42-1.51, P < 0.001); sleep medication use (OR 1.13; 95% CI 1.07-1.20, P = 0.002); and daytime dysfunction (OR 1.23; 95% CI 1.20-1.26, P < 0.001) were associated with perceived noise pollution after confounding variables. Perceived noise pollution was significantly associated with poor sleep quality. Perceived noise annoyance could be used as a signal of health effects in the public community.

Impact of spa therapy on physical activity, sleep and heart rate variability among individuals with fibromyalgia: Results of an ancillary study

Spa therapy is recommended to manage symptoms of fibromyalgia, but the physiological mechanisms underlying this improvement have been poorly studied. In an original study, we explored the effect of a 3-week rheumatology spa treatment for fibromyalgia patients on quality of life and with a symptom severity questionnaire. We present here the results of an ancillary study which explored three secondary criteria using objective measurement methods: diurnal actimetry for physical activity analysis, nocturnal actimetry for sleep analysis and heart rate variability. Eighty-three fibromyalgia patients were randomized to participate in an immediate 3-week rheumatological spa therapy, either a start within 6 weeks after inclusion (interventional group, n = 39) or a delayed, start 6 months after inclusion (control group, n = 44). Patients were asked to wear an actimeter (n = 56) to assess diurnal physical activity and sleep quality and a 24-h Holter ECG (n = 60) to assess nocturnal heart rate variability at baseline, 3 months and 6 months after inclusion. Time spent in sedentary and light physical activity was reduced to ∼30 min at 6 months in the interventional group (P = 0.027). Sleep quality and heart rate variability were not improved. Spa therapy made it possible to reduce sedentary activities in patients’ daily life for up to 6 months afterwards, concomitant with the improvement in quality of life, pain and fatigue as highlighted in the original Thermalgi study.

Evaluating the role of heart rate variability in monitoring stress and sleep quality among nurses in the aftermath of the COVID-19 pandemic.

To assess heart rate variability (HRV) as a measure to assess job stress and sleep quality among nurses in the post-COVID-19 period. The COVID-19 pandemic significantly affected nurses, with heightened job stress and impaired sleep quality impacting their well-being and effectiveness in patient care. HRV could offer insights for supporting strategies in the pandemic aftermath. A quantitative cross-sectional study. This study involved 403 clinical nurses recruited from a teaching hospital in Taiwan. Data on job stress, work frustration, sleep quality and HRV were collected and analysed. Among the nurses surveyed during the COVID-19 pandemic, 72.7% reported poor sleep quality (PSQI = 9.369). Job stress emerged as a strong predictor of work frustration. High stress levels and poor sleep quality were correlated with significantly decreased HRV, indicating a potential physiological impact of stress on the nurses' health and well-being. HRV is a valuable and cost-effective measure for monitoring and managing nurses' well-being in the post-COVID-19 era. Targeted interventions can be implemented to support nurses' overall performance and promote their well-being by identifying those at high risk of job stress and poor sleep quality.

Exploring the Link Between Women's Sleep, Daily Rhythms, and Mental Health in Women Across Different Stages of Life

This research article delves into the intricate connection between women's sleep behaviors, daily rhythms, and mental well-being across different stages of life. Utilizing a comprehensive literature review and empirical data analysis, it examines how variations in sleep quality, circadian preferences, and mental health outcomes manifest in women from adolescence through adulthood and into older age. The study sheds light on the nuanced interactions between these factors and offers insights into potential interventions to promote better sleep hygiene and mental health support tailored to women's specific life stages.

Associations Between Multiple Dimensions of Sleep and Mood During Early Adolescence: A Longitudinal Daily Diary Study.

Prior research has observed reciprocal associations between sleep and mood. However, these findings are primarily based on the examination of one or two aspects of sleep behaviors (e.g., duration, quality), neglecting how multiple dimensions of sleep (particularly indicators pertinent to adolescence, e.g., sleep variability) are linked to adolescent mood both daily and longitudinally. Drawing on a multidimensional framework for sleep, this study addressed the knowledge gap by examining the directionality of and differential effects for associations between multiple dimensions of sleep and mood during early adolescence. Participants were 273 Chinese early adolescents (34.39% girls; Mage = 11.57, SD = 1.31), who filled out a pre-survey on demographics (T1) and 7-day diaries on sleep (i.e., duration, quality, disturbance, and latency) and mood (i.e., positive and negative mood). Adolescents completed another wave of diary reports 1 year later (T2). Findings revealed both bidirectional and unidirectional, within-person effects depending on specific sleep parameters, suggesting differential associations between multiple dimensions of sleep and mood. Specifically, on days when adolescents had longer sleep latency and greater disturbance than usual, they reported higher negative mood the next day, whereas higher negative mood was linked to poorer sleep quality the next day. The longitudinal investigation found that greater variability in sleep quality at T1 was associated with higher negative mood at T2. These findings underscore the importance of understanding the complex interplay between sleep and mood by examining the directionality of and differential effects for the daily and longer-term associations between multiple dimensions of sleep and mood among early adolescents.

The Contribution of Sleep Quality and Psychological Factors to the Experience of Within-Day Pain Fluctuations Among Individuals With Temporomandibular Disorders

We assessed the impact of day-to-day sleep quality and psychological variables (catastrophizing, negative affect, and positive affect) to within-day pain fluctuations in 42 females with painful temporomandibular disorders (TMD) using electronic diaries. More specifically, we examined the contribution of these variables to the likelihood of experiencing pain exacerbations defined as 1) an increase of 20 points (or more) in pain intensity on a 0 to 100 visual analog scale from morning to evening, and/or 2) a transition from mild-to-moderate pain over the course of the day; and pain decreases defined as 3) a decrease of 20 points (or more) in pain intensity (visual analog scale) from morning to evening, and/or 4) a reduction from moderate-to-mild pain over the day. The results indicated significantly main effects of sleep on both pain exacerbation outcomes (both P's < .05), indicating that nights with better sleep quality were less likely to be followed by clinically meaningful pain exacerbations on the next day. The results also indicated that days characterized by higher levels of catastrophizing were associated with a greater likelihood of pain exacerbations on the same day (both P's < .05). Daily catastrophizing was the only variable significantly associated with within-day pain decrease indices (both P's < .05). None of the other variables were associated with these outcomes (all P's > .05). These results underscore the importance of addressing patients' sleep quality and psychological states in the management of painful TMD. PerspectiveThese findings highlight the significance of sleep quality and pain catastrophizing in the experience of within-day pain fluctuations among individuals with TMD. Addressing these components through tailored interventions may help to alleviate the impact of pain fluctuations and enhance the overall well-being of TMD patients.

Investigation of the Relationship among Work Shift, Sleep Quality, and Work Ability Index in Pre-Hospital Emergency Personnel in Urmia City in 2023

Objectives: Nowadays, due to the increase in the volume of accidents, pre-hospital emergency personnel, as the frontline of treatment by providing relief and assistance to patients and victims of various incidents, have encountered various work-related challenges and problems, including cardiovascular diseases, digestive diseases, excessive fatigue, and reduced sleep quality. In this regard, the present research aimed to study the relationship among shift work, sleep quality, and work ability index in pre-hospital emergency personnel. Methods: This research was performed on 102 operational personnel of a pre-hospital emergency department in Urmia, Iran. After the collection of demographic information, the number of work shifts per week, the number of working hours per month, the quality of sleep, and the work ability of the personnel were measured by the Petersburg sleep quality questionnaire and work ability index questionnaire. The relationship between research variables was investigated using correlation coefficient, Fisher's exact test, and one-way analysis of variance tests. Results: Mean total sleep quality score of the personnel was 6.01 ± 2.38, which indicated poor and unfavorable sleep quality. Moreover, work ability index scores of 34.3%, 52%, and 13.7% of participants were at poor, moderate, good, and excellent levels, respectively. Regarding the comparison between the two variables of shift work and sleep quality, there was a significant difference, and a strong and significant relationship was observed between sleep quality and work ability index. Conclusion: Through the increase in the number of work shifts and working hours, the sleep quality of the personnel became unfavorable and weak which led to a decrease in the work ability index score and a reduction in the job performance of the personnel. Reduction of working hours, usage of young people with high work ability, management and control of the number of work shifts of the personnel by considering resting and closure time, consideration of morning-evening and night shifts in a balanced and equal manner, and prevention of people from working in monotonous shifts (activity only in the form of night work or only day work), and avoidance of working in consecutive work shifts without rest and vacation in order to improve the quality of sleep and work performance is recommended.

Sleep quality and screen time among university professors: impact of emergency remote teaching amidst COVID-19 crisis.

Sleep plays a crucial role in maintaining physical and mental health. The COVID-19 pandemic has brought about unprecedented global changes, and disruptions in sleep quality have emerged as a challenge. The pandemic prompted a dramatic shift in the working landscape for university professors, necessitating emergency remote teaching (ERT). This transition substantially increased professors' screen time for academic and research endeavors. This study explores the relationship between screen time and sleep quality among university professors during the pandemic and examines associated factors, including psychological well-being. An electronic survey, covering demographics, education, screen time, sleep quality, and mental health, was administered to professors who worked during the spring semester of 2020. Standardized measures were used to assess sleep quality and mental health. Correlations, Mann-Whitney tests, and multivariate regression explored associations between screen time, sleep quality, and other variables. One hundred sixty participants exhibited poor sleep quality, subthreshold insomnia, and mild depression. Increased screen time correlated with poorer sleep quality, elevated stress levels, and heightened depression severity. Evening screen users reported more insomnia than daytime users. Depression emerged as a significant predictor of poor sleep quality and insomnia, along with evening screen use. This study among university professors underscores the impact of screen time on sleep quality during the COVID-19 pandemic. Participants faced poor sleep, largely influenced by heightened screen time due to ERT. Considering these findings, this study emphasizes the importance of curbing daytime screen exposure and abstaining from screens in the evening, especially for university professors reliant on technology for their professional responsibilities.

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study.

Sleep efficiency is often used as a measure of sleep quality. Getting sufficiently high-quality sleep has been associated with better cognitive function among older adults; however, the relationship between day-to-day sleep quality variability and cognition has not been well-established. We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults, using accelerometer data and 3 cognitive tests. We included older adults aged >65 years with at least 5 days of accelerometer wear time from the National Health and Nutrition Examination Survey (NHANES) who completed the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer's Disease Word-Learning subtest (CERAD-WL), and the Animal Fluency Test (AFT). Sleep efficiency was derived using a data-driven machine learning algorithm. We examined associations between sleep efficiency variability and scores on each cognitive test adjusted for age, sex, education, household income, marital status, depressive symptoms, diabetes, smoking habits, alcohol consumption, arthritis, heart disease, prior heart attack, prior stroke, activities of daily living, and instrumental activities of daily living. Associations between average sleep efficiency and each cognitive test score were further examined for comparison purposes. A total of 1074 older adults from the NHANES were included in this study. Older adults with low average sleep efficiency exhibited higher levels of sleep efficiency variability (Pearson r=-0.63). After adjusting for confounding factors, greater average sleep efficiency was associated with higher scores on the DSST (per 10% increase, β=2.25, 95% CI 0.61 to 3.90) and AFT (per 10% increase, β=.91, 95% CI 0.27 to 1.56). Greater sleep efficiency variability was univariably associated with worse cognitive function based on the DSST (per 10% increase, β=-3.34, 95% CI -5.33 to -1.34), CERAD-WL (per 10% increase, β=-1.00, 95% CI -1.79 to -0.21), and AFT (per 10% increase, β=-1.02, 95% CI -1.68 to -0.36). In fully adjusted models, greater sleep efficiency variability remained associated with lower DSST (per 10% increase, β=-2.01, 95% CI -3.62 to -0.40) and AFT (per 10% increase, β=-.84, 95% CI -1.47 to -0.21) scores but not CERAD-WL (per 10% increase, β=-.65, 95% CI -1.39 to 0.08) scores. Targeting consistency in sleep quality may be useful for interventions seeking to preserve cognitive function among older adults.

Objectively assessed sleep quality parameters in Multiple Sclerosis at home: Association to disease, disease severity and physical activity

BackgroundMultiple Sclerosis (MS) is a chronic inflammatory autoimmune, neurodegenerative disease that affects regular mobility and leads predominantly to physical disability. Poor sleep quality, commonly reported in MS patients, impacts their physical activity (PA). Accelerometers monitor 24-h activity patterns, offering insights into disease progression in daily life. ObjectiveTo test if the sleep quality variables of MS patients, as assessed with wrist-worn accelerometers, differ from those of controls and are associated with PA and disease severity variables. MethodsSeven-day raw accelerometer data collected from 40 MS patients and 24 controls was processed using an open-source GGIR package, from which variables of sleep quality (sleep efficiency, wake after sleep onset (WASO), sleep regularity index (SRI), intradaily variability (IV)) and PA (of different intensities: inactivity, light (LPA), moderate (MPA), vigorous (VPA)) were analyzed. The variables were compared between the two study groups and in MS patients, correlation tested associations among the variables of sleep quality, PA, and disease severity (assessed with the Expanded Disability Status Scale, EDSS). ResultsSleep efficiency was the only variable that differed significantly between MS patients and controls (lower in MS, p = 0.01). Both SRI (positively) and IV (negatively) correlated with the time spent in LPA and MPA. WASO correlated negatively with inactivity. ConclusionThis is one of the few studies with a wrist-worn accelerometer that shows a difference in sleep efficiency between MS patients and controls and, in MS, an association of sleep quality variables with PA variables.

Sleep quality and clinicaland laboratory variables associated with sleep disturbances in patients with systemic sclerosis.

Sleep quality and clinicaland laboratory variables associated with sleep disturbances in patients with systemic sclerosis.

A cross-sectional observational study for ethno-geographical disparities in sleep quality, brain morphometry and cognition (a SOLACE study) in Indians residing in India, and South Asians and Europeans residing in the UK - a study protocol.

As individuals age, their sleep patterns change, and sleep disturbances can increase the risk of dementia. Poor sleep quality can be a risk factor for mild cognitive impairment (MCI) and dementia. Epidemiological studies show a connection between sleep quality and cognitive changes, with brain imaging revealing grey matter volume reduction and amyloid beta accumulation in Alzheimer's disease. However, most research has focused on Europeans, with little attention to other ethnic groups. This is a cross sectional study comparing effects across countries and ethnicities. Group 1 (n = 193) will be Indians residing in India (new participant recruitment), Group 2 will be South Asians residing in UK and group 3 will be Europeans residing in the UK. For group 2 and 3 (n = 193), data already collected by UK-based Southall and Brent REvisited (SABRE) tri-ethnic study will be used. For group 1, Pittsburgh Sleep Quality Index questionnaire (PSQI) will be used for assessment of sleep quality, Indian Council of Medical Research (Neurocognitive ToolBox) (ICMR-NCTB) for cognition testing and a 3 T MRI cerebral scan for brain morphometry. The data will be compared to sleep, cognitive function and brain MRI parameters from SABRE. Racial and ethnic differences can impact the relationships of cognitive function, sleep quality and brain structure in older adults. Earlier studies have highlighted higher prevalence of poor sleep among black individuals compared to white individuals. Genetic or epigenetic mechanisms may contribute to these variations. Socio-cultural and environmental factors, such as neighbourhood, migration, lifestyle, stress and perceived discrimination may influence sleep patterns. The aim of the study is to examine the ethnogeographic variations in sleep quality, cognitive performance and brain morphometry among Indians living in India, and South Asians and Europeans residing in the UK.

A cross- sectional study on the association between lifestyle factors and coronary artery stenosis severity among adults living in central Iran: A protocol for the Iranian- CARDIO study.

Although several studies have attempted to identify coronary artery disease (CAD) risk factors, few have explored the association between lifestyle-related factors and the severity of coronary artery stenosis. The present study was designed to assess the association between a combination of lifestyle, dietary, cardiometabolic, psychological, and mental factors, and CAD severity in adults undergoing angiography. This cross-sectional study aimed to recruit a total of 700 patients (aged 35 to 75 years) who met the inclusion criteria and were referred for angiography between July 2020 and November 2021 to Afshar Hospital, a central heart disease hospital in Yazd city, Iran. To assess the presence and intensity of CAD, we used the Gensini and SYNTAX scores. Biochemical factors were measured using standard kits from serum samples, and extra serum and whole blood samples were retained for further analyses. Data on general information, dietary food and supplement intake, eating habits, medicinal herbs consumption, psychological and mental state, sleep quality, and other variables were gathered by trained interviewers using specific questionnaires. In total, 720 participants (444 males and 276 females) aged 56.57±9.78 years were included in the current study. Moderate to severe coronary artery stenosis was prevalent in 47.0% and 17.9% of participants based on Gensini and SYNTAX scores, respectively. The results of this study will enhance our understanding of the association between different risk factors and the severity of coronary artery stenosis.