Alpha-synuclein pathology in isolated rapid eye movement sleep behaviour disorder: a meta-analysis.

Accumulating evidence indicates that patients with isolated rapid eye movement sleep behaviour disorder (iRBD), a prodromal stage of synucleinopathies, show abnormal deposition of misfolded alpha-synuclein (a-Syn) in peripheral tissues. The clinical utility of testing for a-Syn in iRBD is unclear. This meta-analysis focused on the utility of testing for the abnormal a-Syn phosphorylated at Ser129 (p-syn) and a-Syn seeding activity (a-Syn seed amplification assays [aSyn-SAA]). Following an electronic database search, 15 studies were included that provided at a minimum data on test positivity in participants with iRBD. Test positivity from cerebrospinal fluid (CSF) was 80% (95% confidence interval [CI] 68-88%, I2 = 71%) and for skin was 74.8% (95% CI 53.2-88.5%, I2 = 64%) for aSyn-SAA and 78.5% (95% CI 70.4-84.9%, I2 = 14%) for p-syn. The phenoconversion rate ratio of biopsy-positive versus biopsy-negative iRBD was 1.28 (95% CI 0.68-2.41, I2 = 0%). Skin as a source had a specificity of 99% (95% CI 95-100%, I2 = 0%; p = 0.01 compared to CSF). As a test, p-syn, had a specificity of 100% (95% CI 93-100%, I2 = 0%; p < 0.001) compared to aSyn-SAA. The odds ratio of a-Syn test positivity in iRBD versus other RBDs was 112 (95% CI 20-629, I2 = 0%). These results demonstrate clinically significant test positivity in iRBD and favour skin over CSF as the source of a-Syn pathological analysis, and p-syn over aSyn-SAA as the testing method. Overall, these findings indicate that testing for a-Syn could help in differentiating iRBD from RBD secondary to other conditions.

Examining the reliability and validity of the arabic version of the Glasgow Sleep Effort Scale (GSES).

BACKGROUND: Sleep effort refers to the cognitive and behavioral exertion involved in initiating and maintaining sleep. High sleep effort is increasingly recognized as perpetuating insomnia and poor sleep quality. Validated sleep effort scales enable the quantification of this construct in clinical and research settings. However, no Arabic version has been available. This study translated and validated the Glasgow Sleep Effort Scale (GSES) into Arabic to assess sleep effort in Arabic-speaking populations. METHOD: The GSES was translated into Arabic using the forward-backward translation approach. This involved an initial Arabic translation from the source followed by a back translation into English to ensure accuracy. A total of 369 participants were recruited to assess the psychometric properties of the Arabic version of the GSES, specifically its reliability and validity. The reliability analysis included Cronbach's α, McDonald's ω, and test-retest reliability. Validity was examined using confirmatory factor analysis (CFA) to evaluate the unidimensionality of the scale and assess model fit. Convergent validity was also assessed through correlation analysis with the Athens Insomnia Scale (AIS) and the Generalized Anxiety Disorder-7 Scale (GAD-7). RESULTS: The Cronbach's α reliability coefficient and McDonald's ω for the scale were found to be 0.87 (95% CI: 0.85-0.89). The test-retest reliability was 0.95 (95% CI: 0.93 - 0.97) after two weeks. The one-factor model showed an acceptable fit, with a CFI of 0.96, a TLI of 0.94, and an SRMR of 0.04. Invariance analysis revealed that male and female participants conceptualized and responded to the GSES items similarly, without differences in factor loadings or scale characteristics between the sexes. The Arabic version of the GSES has good convergent validity, as shown by the significant correlation between the AIS and the GSES (r = 0.72, p < 0.001). Similarly, the GAD-7 score was significantly correlated with the GSES score (r = 0.77, p < 0.001). CONCLUSION: This is the first study in which the GSES was validated in Arabic. This allows the scale to reliably gauge sleep effort among Arabic speakers, providing new clinical and research opportunities to understand how maladaptive sleep effort may contribute to insomnia and suboptimal sleep in this demographic population.

Exploring the Mediating Role of Sleep Deficit-Related Functional Status in Subacute Stroke Survivors.

Background: Understanding post-stroke fatigue (PSF) and its associated factors is crucial for effective therapy and rehabilitation. This study aimed to assess the mediating role of the excessive daytime sleepiness-related functional status (SFS) on the relationship between sleep and the severity of fatigue in subacute stroke survivors. Methods: Subacute stroke survivors (n = 50; male = 38; female = 12), completed a cross-sectional study involving the Pittsburgh sleep quality index (PSQI), the Epworth sleepiness scale (ESS), the insomnia severity index (ISI), the functional outcome of the sleep questionnaire (FOSQ), and the fatigue severity scale (FSS). Results: The SFS mediated the association between the severity of fatigue and sleep problems. The PSQI and FOSQ (b = -0.37, p < 0.001), and the FOSQ and FSS were correlated (b = -0.18, p < 0.05), with a significant indirect effect of the PSQI on the FSS. The ISI correlated with the FOSQ (b = -0.20, p < 0.001), with significant direct (b = 0.15, p < 0.001), as well as indirect, effects of the ISI on the FSS. The ESS correlated with the FOSQ (b = -0.23, p < 0.001), with a significant indirect effect of the ESS on the FSS. Conclusions: In subacute stroke survivors, fatigue and sleep are linked. Increased understanding of sleep-PSF may help in exploring new targets for supplement therapy.

Neurocognitive, mood changes, and sleepiness in patients with REM-predominant obstructive sleep apnea.

PURPOSE: This article focuses on recent evidence linking rapid eye movement (REM) obstructive sleep apnea (OSA) (REM-OSA) to neurocognitive dysfunction and mood changes; the proposed mechanisms for increased risk of neurocognitive dysfunction in REM-OSA, and future research prospects. METHODS: PubMed and Google Scholar records were examined for articles utilizing pre-defined keywords. In this work, we mainly included studies published after 2017; nevertheless, critical studies published prior to 2017 were considered. RESULTS: REM-OSA is an under-recognized stage-related sleep-disordered breathing in which obstructive respiratory events happen chiefly in stage REM. The disorder is commonly seen amongst younger patients and females and has recently been linked to cardiometabolic complications. Although less symptomatic than non-REM-OSA and non-stage-specific OSA, current findings indicate that REM-OSA may have neurocognitive repercussions and mood changes and could be linked to insomnia, increased dreams, and nightmares. CONCLUSION: Currently available evidence indicates that REM-OSA may present with insomnia and nightmares and could affect cognitive function and mood.

Accuracy of residual respiratory event detection by CPAPs: a meta-analysis.

PURPOSE: Most continuous positive airway pressure (CPAP) machines have built-in manufacturer-specific proprietary algorithms for automatic respiratory event detection (AED) based on very specific respiratory events scoring criteria. With regards to the accuracy of these data from CPAP machines, evidence from the literature seems conflicting, which formed the basis for this meta-analysis. METHODS: A meta-analysis was performed on studies that reported Bland-Altman analysis data on agreement (mean bias and limits of agreement [LoA]) of CPAP-determined apnea-hypopnea index (AHI) at therapeutic pressures (AHIFLOW) with that determined from simultaneously conducted polysomnograms (AHIPSG). RESULTS: In six studies, ResMed CPAPs were used, and in another six studies, Respironics CPAPs were used, while only one study used Fisher & Paykel (F&P) CPAPs. The pooled mean AHI bias from ResMed CPAP studies was - 1.01 with pooled LoAs from - 3.55 to 1.54 (I2 = 17.5%), and from Respironics CPAP studies, pooled mean AHI bias was - 0.59 with pooled LoAs from - 3.22 to 2.05 (I2 = 0%). Pooled percentage errors (corresponding to LoAs) from four ResMed CPAP studies, four Respironics CPAP studies, and the F&P CPAP study were 73%, 59%, and 112%, respectively. A review of the literature for this meta-analysis also revealed lack of uniformity not only in the CPAP manufacturers' respiratory events scoring criteria but also in that used for PSGs across the studies analyzed. CONCLUSIONS: Even though the pooled results of mean AHI bias suggest good clinical agreement between AHIPSG and AHIFLOW, percentage errors calculated in this meta-analysis indicate the possibility of a significant degree of imprecision in the estimation of AHIFLOW by CPAP machines.

Comparative efficacy of mandibular advancement devices in obstructive sleep apnea: a network meta-analysis.

PURPOSE: To analyze relative efficacies of mandibular advancement devices (MAD) in sleep apnea treatment. METHODS: From eligible randomized controlled trials (RCT), MADs were classified based on their mechanistic designs. Data on apnea-hypopnea index (AHI), Epworth sleepiness scale (ESS), nadir oxygen saturation (minSaO2), and sleep efficiency (SE%) from RCTs were then analyzed in network meta-analyses, and relative ranking of different MADs was computed based on P scores (a method of ranking similar to SUCRA). Similar analyses were conducted based on the different brands of MADs. RESULTS: There were no statistically significant differences between MADs in any of the outcomes analyzed. However, the P-scores, based on the point estimates and standard errors of the network estimates, ranked some MADs higher than others in some of the outcomes. Of the different mechanistic designs, the highest P scores were achieved for attached midline traction (P score = 0.84) and unattached bilateral interlocking (P score = 0.78) devices for AHI reduction, attached bilateral traction (P score = 0.78) and unattached bilateral interlocking (P score = 0.76) for ESS, monobloc (P score = 0.91) and unattached bilateral interlocking (P score = 0.64) for minSaO2, and unattached bilateral interlocking (P score = 0.82) and attached bilateral traction (P score = 0.77) for SE%. Notable findings in the network meta-analyses based on MAD brands, of the limited number of studies that specified them were the effects of SomnoDent Flex™, TAP™, and IST® in their effects on AHI reduction, with P scores of 0.94, 0.83, and 0.82, respectively. Monobloc decreased supine-AHI the most (- 44.46 [- 62.55; - 26.36], P score = 0.99), and unattached bilateral interlocking had the greatest effect on REM-AHI (- 11.10 [- 17.10; - 5.10], P score = 0.87). CONCLUSIONS: Findings from this study show clinically (but not statistically) significant differences between MADs in terms of their relative efficacy when analyzed for different sleep apnea treatment outcomes and sleep apnea phenotypes.

Adoption of Transformer Neural Network to Improve the Diagnostic Performance of Oximetry for Obstructive Sleep Apnea.

Scoring polysomnography for obstructive sleep apnea diagnosis is a laborious, long, and costly process. Machine learning approaches, such as deep neural networks, can reduce scoring time and costs. However, most methods require prior filtering and preprocessing of the raw signal. Our work presents a novel method for diagnosing obstructive sleep apnea using a transformer neural network with learnable positional encoding, which outperforms existing state-of-the-art solutions. This approach has the potential to improve the diagnostic performance of oximetry for obstructive sleep apnea and reduce the time and costs associated with traditional polysomnography. Contrary to existing approaches, our approach performs annotations at one-second granularity. Allowing physicians to interpret the model's outcome. In addition, we tested different positional encoding designs as the first layer of the model, and the best results were achieved using a learnable positional encoding based on an autoencoder with structural novelty. In addition, we tried different temporal resolutions with various granularity levels from 1 to 360 s. All experiments were carried out on an independent test set from the public OSASUD dataset and showed that our approach outperforms current state-of-the-art solutions with a satisfactory AUC of 0.89, accuracy of 0.80, and F1-score of 0.79.

Global research evidence on nomophobia during 2008-2022: a bibliometric analysis and review.

Nomophobia, often known as a 21st-century disorder, is a recent condition that has received considerable attention, with numerous studies conducted to better understand it since it was first introduced in 2008. To better understand the present research status and prospects to assist practitioners, policymakers, and funding agencies in protecting the population from nomophobia-related harm, a bibliometric study of nomophobia-related publications was conducted. We used Scopus and dimensions.ai to perform a search between 2008 and 2022. The HistCite, R software, and VOSviewer were used to analyze the data and extract relevant keywords indexed in medical databases using mesh heading phrases. Between January 2008 and April 2022, 1,781 papers, 30 datasets, two grants, six patents, four clinical trials, and five policy documents were identified. The bulk of the articles included in this review were published after 2017 with the majority written in English. Most of the research focuses on determining the prevalence of nomophobia in various populational groups, such as students, clinical samples, and the general adult population. Several studies examined the possible association between nomophobia symptoms and other psychiatric or physical health issues, such as changes in sleep, learning and attention, academic performance, coping strategies, etc. The current body of research knowledge of nomophobia in the main includes epidemiologic and diagnostic effort that has provided mixed results regarding its assessment and prevalence rates, and appreciable data on its treatment and prevention are lacking.

The impact of Ramadan fasting on the metabolic syndrome severity in relation to ethnicity and sex: Results of a systematic review and meta-analysis.

AIMS: The primary goal of this meta-analysis was to examine the changes in various components of metabolic syndrome (MetS) in healthy adults who observed Ramadan fasting (RF) before Ramadan (T1) and at the end of RF (T2). A secondary goal was to assess the impact of RF on MetS severity in various ethnic and sex groups using the MetS z-score. DATA SYNTHESIS: Using PRISMA2020, seven databases were searched for relevant studies published between January 1950 and March 2022. Data extraction involved high-density lipoprotein cholesterol (HDL), triglycerides (TG), fasting blood glucose (FBG), waist circumference (WC), systolic blood pressure (SBP), and diastolic blood pressure (DBP) for T1 and T2, respectively. The MetS z-score was computed according to international diabetes federation criteria. At T1, the pooled estimates of HDL, TG, FBG, WC, SBP, DBP, and MAP were 1.20 [1.13; 1.27] mmol/L, 1.32 [1.23; 1.42] mmol/L, 4.98 [4.82; 5.15] mmol/L, 87.21 [84.21; 90.21] Cm, 114.22 [101.45; 126.99] mmHg, 76.80 [70.12; 83.47] mmHg, and 89.27 [80.56; 97.98] mmHg, respectively. At T2, the pooled estimates of HDL, TG, FBG, WC, SBP, DBP, and MAP were 1.24 [1.18; 1.31] mmol/L, 1.24 [1.14; 1.34] mmol/L, 4.77 [4.55; 4.99] mmol/L, 85.73 [82.83; 88.64] Cm, 109.48 [97.20; 121.75] mmHg, 74.43 [68.01; 80.85] mmHg, and 86.11 [77.74; 94.48] mmHg, respectively. The MetS z-score showed improvement at T2 for all ethnic groups and both sexes by -0.22 [-0.24; -0.01]. CONCLUSIONS: The current meta-analysis suggests that the RF positively impact the MetS components and the overall MetS z-score. PROSPERO REGISTRATION NUMBER: ID CRD42022329297 OPEN SCIENCE FRAMEWORK IDENTIFIER: DOI 10.17605/OSF.IO/U9H7T.

Eight-week high-intensity interval training is associated with improved sleep quality and cardiorespiratory fitness in patients with depressive disorders.

PURPOSE: This study aimed to examine the effect of high-intensity interval training (HIIT) on both sleep and cardiorespiratory fitness in patients with depression. METHODS: Using a single pre- and post-test study design with no control group, 82 patients diagnosed with depressive disorders underwent HIIT comprising a total of 24 15-min sessions, three times per week for 8 weeks. Depressive symptoms, sleep quality, and cardiorespiratory fitness were evaluated using the Beck depression inventory-II, the Pittsburgh sleep quality index (PSQI), and cardiopulmonary exercise testing (CPET) in the form of maximum oxygen uptake (VO2 max), respectively. RESULTS: All 82 patients completed the intervention. HIIT training was associated with significant improvements in BDI-II score (diff = - 1.57 [95% CI - 2.40 to - 0.73], P = 0.001), PSQI score (diff = - 1.20 [95% CI - 2.10 to - 0.32], P = 0.008), and CPET VO2 max (diff = 0.95 [95% CI 0.62-1.28], P = 0.001). Effect size calculations revealed that the greatest improvement occurred in CPET VO2 max (Cohen's d = 0.64) and that improvements in the BDI-II and PSQI scores were somewhat smaller in magnitude (Cohen's d = - 0.41 and - 0.30, respectively). Sleep quality improvements were observed in sleep latency, habitual sleep efficiency, and the use of sleep-promoting medications (Cohen's d = 0.18, 0.19, and 0.25, respectively). Change in cardiorespiratory fitness successfully predicted change in sleep quality but not in depressive symptoms. Adverse effects were limited to minor injuries which did not interfere with completion of training. CONCLUSIONS: HIIT training delivered over 8 weeks was associated with improvements in depression symptoms, sleep quality, and cardiorespiratory fitness in patients with depressive disorders.

Eating habits are associated with subjective sleep quality outcomes among university students: findings of a cross-sectional study.

PURPOSE: This study investigated the relationships between eating habits and sleep quality among university students. METHODS: In a cross-sectional study, university students completed a self-report questionnaire to assess eating habits and meal timing. We assessed subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and examined the associations between eating habits and overall sleep quality and its components. RESULTS: Four hundred ninety-eight students participated in the study. Students who used to skip breakfast, ate late-night snacks, and replaced meals with snacks were at 1.20 times, 1.24 times, and 1.25 times higher likelihood of having poor overall sleep quality, respectively. Multiple logistic regression analysis showed that skipping breakfast (r = - 0.111, P = 0.007), late-night snacks (r = - 0.109, P = 0.007), replacing meals with snacks (r = - 0.126, P = 0.002), and irregular mealtimes (r = - 0.094, P = 0.018) were the best correlates with poor sleep quality. After adjustment to demographic variables, replacing meals with snacks followed by skipping breakfast were the best independent associations with poor sleep quality by the PSQI. CONCLUSIONS: Eating habits and meal timing were significantly associated with sleep quality. We speculate that healthy eating habits may lead to improved sleep quality and sleep components among university students.

Rapid eye movement predominant obstructive sleep apnoea: prognostic relevance and clinical approach.

PURPOSE OF REVIEW: Rapid eye movement (REM) obstructive sleep apnoea (OSA) is a stage-specific OSA, in which obstructive events occur primarily during REM sleep. This review discusses REM-OSA definitions, its cardiometabolic correlates, associated comorbidities and treatment, and addresses diagnostic ambiguities and therapeutic pitfalls. RECENT FINDINGS: Current evidence indicates that REM-OSA is prevalent among younger age groups and women and is independently associated with cardiometabolic complications, particularly hypertension, metabolic complications such as insulin resistance and metabolic syndrome. However, currently, there is no consensus on the accepted diagnostic criteria for REM-OSA. Available data suggest that adherence to positive airway pressure (PAP) therapy in patients with REM-OSA is suboptimal. Moreover, the currently accepted criteria for good adherence to PAP therapy of 4 h/night, 70% of the days may not be suitable for REM-OSA, as it will not cover most of the REM sleep periods. In addition, further research is needed to assess the impact of REM-OSA treatment on cardiometabolic outcomes. SUMMARY: Patients with REM-OSA are at an increased risk of cardiometabolic complications. A high index of suspicion is needed to diagnose this disorder, and close follow-up is required to enhance adherence to therapy.

Does four-week consecutive, dawn-to-sunset intermittent fasting during Ramadan affect cardiometabolic risk factors in healthy adults? A systematic review, meta-analysis, and meta-regression.

AIMS: This study aimed to evaluate the effects of Ramadan diurnal intermittent fasting (RDIF; 29-30 days) on cardiometabolic risk factors (CMRF) in healthy adults, and examine the effect of various cofactors on the outcomes using sub-group meta-regression. DATA SYNTHESIS: We conducted a systematic review and meta-analysis to measure the effect sizes of changes in CMRF in healthy adult Muslims observing RDIF. Ten scientific databases (EBSCOhost, CINAHL, Cochrane, EMBASE, PubMed/MEDLINE, Scopus, Google Scholar, ProQuest Medical, ScienceDirect, and Web of Science) were searched from the date of inception (1950) to the end of November 2020. The CMRF searched and analyzed were total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), diastolic blood pressure (DBP), and heart rate (HR). We identified 91 studies (4431 adults aged 18-85 years) conducted between 1982 and 2020 in 23 countries distributed over four continents. RDIF-induced effect sizes for CMRF were: TC (no. of studies K = 77, number of subjects N = 3705, Hedge's g = -0.092, 95% confidence interval (CI): -0.168, 0.016); TG (K = 74, N = 3591, Hedge's g = -0.127, 95% CI: -0.203, 0.051); HDL-C (K = 68, N = 3528, Hedge's g = 0.138, 95% CI: 0.051, 0.224); LDL-C (K = 65, N = 3354, Hedge's g = -0.115, 95% CI: -0.197, -0.034); VLDL-C (K = 13, N = 648, Hedge's g = -0.252, 95% CI: -0.431, 0.073), DBP (K = 32, N = 1716, Hedge's g = -0.255, 95% CI: -0.363, 0.147), and HR (K = 12, N = 674, Hedge's g = -0.082, 95% CI: -0.300, 0.136). Meta-regression revealed that the age of fasting people was a significant moderator of changes in both HDL-C (P = 0.02) and VLDL-C (P = 0.01). Male sex was the only significant moderator of changes in LDL-C (P = 0.055). Fasting time duration was the only significant moderator of HDL-C (P = 0.001) at the end of Ramadan. CONCLUSIONS: RDIF positively impacts CMRF, which may confer short-term transient protection against cardiovascular disease among healthy people.

The association between micronutrient status and sleep quality in patients with depression: a case-control study.

PURPOSE: Few previous studies estimated the association between micronutrient status and sleep quality; no previous work was done in patients with depression compared with healthy controls. METHODS: Using a case-control design, 96 patients with depression were age- and sex-matched with 96 healthy controls. Dietary assessment utilized a standardized questionnaire, and analysis focused comprehensively on 18 micronutrient items. Sleep quality was measured using the Pittsburg Sleep Quality Index (PSQI). Descriptive statistics were used to summarize findings. Logistic regression analysis was used to identify predictors of poor sleep quality. RESULTS: Patients with depression had a significantly lower sleep quality than controls with PSQI scores of 7.3 ± 2.7 and 5.1 ± 2.5, respectively. The prevalence of poor sleep quality in patients with depression was almost double the prevalence of poor sleep quality in the general population. The micronutrient status of vitamin B12 and Mg successfully predicted sleep quality in healthy controls. However, in patients with depression, micronutrient status failed to predict sleep quality. CONCLUSIONS: The current research showed that sleep quality was positively associated with Mg intake, and negatively associated with vitamin B12 in healthy adults. For patients with depression in this study sample, sleep quality was not associated with micronutrient intake status. Further research is needed to determine if intake of micronutrients can improve sleep and/or depressive symptoms in patients with depression.

The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19.

PURPOSE: Few studies have addressed the sleep disturbances of healthcare workers during crisis events of public health. This study aimed to examine the sleep quality of frontline healthcare workers (FLHCW) in Bahrain during the COVID-19 pandemic, and compare it with the sleep quality of non-frontline healthcare workers (NFLHCW). METHODS: Healthcare workers (n = 280) from multiple facilities belonging to the Ministry of Health, Bahrain, were invited to participate in this cross-sectional study. An online questionnaire, including socio-demographics, the Pittsburgh Sleep Quality Index (PSQI), and the Perceived Stress Scale (PSS), was used to evaluate sleep disturbances and stress levels of healthcare workers. Poor sleep quality was defined as PSQI ≥ 5 and moderate-severe stress as PSS ≥ 14. Descriptive statistics were used to compare the scores of FLHCW and NFLHCW. Univariate and multivariate binary logistic regressions were used to identify predictors of poor sleep quality, moderate-severe stress, and the combined problem of poor sleep quality and moderate-severe stress. RESULTS: A total of 257 participants (129 FLHCW and 128 NFLHCW) provided usable responses. The overall PSQI and PSS scores were 7.0 ± 3.3 and 20.2 ± 7.1, respectively. The FLHCW scored higher in the PSQI and PSS compared with the NFLHCW; however, the differences in the PSQI and PSS scores were not statistically significant. For the FLHCW, 75% were poor sleepers, 85% had moderate-severe stress, and 61% had both poor sleep quality and moderate-severe stress. For the NFLHCW, 76% were poor sleepers, 84% had moderate-severe stress, and 62% had both poor sleep quality and moderate-severe stress. Female sex and professional background were the predictors of poor sleep quality and stress. CONCLUSIONS: Poor sleep quality and stress are common during the COVID-19 crisis. Approximately, 60% of both FLHCW and NFLHCW have poor sleep quality combined with moderate-severe stress.

Sleep quality and Dietary Inflammatory Index among university students: a cross-sectional study.

PURPOSE: Evidence indicates that most college students face reduced sleep quality due to unhealthy dietary habits and hectic daily schedules. While the relationship between sleep quality and general health has been the subject of intensive research, little is known about the association between sleep and its relation with the inflammatory potential of the diet until recently. This study aimed to investigate the association between Energy-Adjusted Dietary Inflammatory Index (E-DII®) scores and sleep quality in a group of students from the University of Sharjah (UOS). METHODS: A cross-sectional study design was followed, and convenience sampling was used. Participants were assessed for sleep quality using the Pittsburgh Sleep Quality Index (PSQI), E-DII scores were derived from a semi-quantitative food frequency questionnaire (FFQ), and physical activity level was measured using the International Physical Activity Questionnaire (IPAQ). Chi-square tests and two-sample t tests were used to find an association between E-DII scores and sleep quality. RESULTS: A total of 379 college students were included in the study of whom 64 % were female and 81% were between 18 and 21 years of age. Two-thirds of participants experienced poor sleep quality. Although results were trending in the hypothesized direction, no significant association was found between E-DII scores and sleep quality. Among the individual components of sleep quality, a direct significant association was found between E-DII scores and day dysfunction (P = 0.03). CONCLUSIONS: These results suggest that a pro-inflammatory diet maybe related to increased day dysfunction among UOS students. Consuming a more anti-inflammatory diet may reduce daytime dysfunction. Further prospective and controlled studies are required to confirm this association, and to explore other attributes and their sequelae on sleep quality.

Neuropsychiatric Correlates of Narcolepsy.

PURPOSE OF REVIEW: The complex nature of narcolepsy symptoms, along with the use of stimulants and anticataplectic medications, poses diagnostic difficulties in terms of underlying neuropsychiatric comorbidities. This study reviews recent evidence for the association between narcolepsy and neuropsychiatric disorders. We also critically analyze studies that have addressed the neuropsychiatric correlates of patients with narcolepsy, with a discussion of the possible pathophysiological mechanisms linking narcolepsy and neuropsychiatric disorders. RECENT FINDINGS: Neuropsychiatric manifestations are common among patients with narcolepsy as narcolepsy and some neuropsychiatric disorders share common clinical features. This may create challenges in making the correct diagnosis, and hence result in a delay in starting appropriate treatment. Comorbid neuropsychiatric manifestations in patients with narcolepsy include depression, anxiety, psychosis, rapid eye movement (REM) sleep behavior disorder, and cognitive impairment. Although hypocretin deficiency has been proposed as a pathophysiological mechanism underlying both narcolepsy and neuropsychiatric disorders, further research is necessary to identify the exact mechanisms. Narcolepsy patients often manifest comorbid neuropsychiatric symptoms, which makes the diagnosis difficult. Therefore, it is essential to address neuropsychiatric symptoms in the clinical care of patients with narcolepsy.

Migraine screen questionnaire: further psychometric evidence from categorical data methods.

BACKGROUND: Psychometric investigations of tools used in the screening of migraine including the migraine screen questionnaire (MS-Q), using an adequate statistical approach is needed. We assessed the psychometric properties of the migraine screen questionnaire (MS-Q) using categorical data methods. MATERIAL AND METHODS: A total of 343 students at Mizan-Tepi University, Ethiopia, age range = 18-35 years were selected by a simple random sampling method to participate in a cross-sectional study. The respondents completed the MS-Q, a semi-structured socio-demographic questionnaire, and a visual analog scale for attention (VAS-A). RESULTS: The cumulative variance rule (> 40%), the Kaiser's criteria (Eigenvalue> 1), the Scree test and, the parallel analysis (minimum rank) identified a 1-factor model for the MS-Q with the factor loadings in the range of 0.78 to 0.84. Fit indices favored a 1-factor model of the MS-Q as indicated by comparative fit index (0.993), weighted root mean square residual (0.048), root mean square error of approximation (0.067), the goodness of fit index (1.00), and non-normed fit index (0.987). The values of the Factor Determinacy Index (0.953), marginal reliability (0.909), H-latent (0.909), H-observed (0.727), explained common variance (0.906) and the mean item residual absolute loadings (0.225) further complimented finding of the 1-Factor model. McDonald's Omega (0.903) suggested adequate internal consistency. Discriminative validity was supported by significantly higher scores for the total and all the MS-Q items except one among those with complaints of attention. CONCLUSION: The categorical methods support the psychometric validity of the MS-Q in the study population.

The effects of caffeine on drowsiness in patients with narcolepsy: a double-blind randomized controlled pilot study.

PURPOSE: The effects of caffeine on drowsiness and reaction time in patients with narcolepsy are unclear. We aimed to assess the effects of caffeine as add-on therapy in narcolepsy patients. METHODS: A randomized, double-blind, placebo-control clinical pilot trial was conducted with a parallel, two-arm trial allocation ratio of 1:1. Participants attended two study visits 7 days apart. The drug was administered orally in a single opaque capsule containing 200 mg caffeine/placebo daily in the morning for 1 week. Sleepiness was assessed objectively using infrared reflectance oculography to measure the percentage of long eye closure (LEC%) and subjectively using two sleepiness scales, the Stanford Sleepiness Scale (SSS) and Karolinska Sleepiness Scale (KSS). Parameters were measured at baseline (BL) prior to taking the drug, after taking the first dose (FD), and after 1 week (WD) of daily caffeine. RESULTS: Sixteen participants with narcolepsy were included. No significant differences between groups in baseline measurements were observed. LEC% was significantly decreased after the FD and WD compared with baseline levels (BL 1.4 ± 2.1 vs. FD 0.06 ± 0.0.6 and WD 0.03 ± 0.04). Significant improvements in alertness were observed using the KSS when comparing BL with FD and WD (6.3 ± 1.6, 4.9 ± 1.7, and 4.7 ± 1.7, respectively; p = 0.01). No changes in reaction time or SSS scores were noted. CONCLUSION: Our findings suggest that a small dose of caffeine has positive effects on alertness in patients with narcolepsy. However, larger trials are required to confirm these findings. TRIAL REGISTRATION NO: ClinicalTrial.gov NCT02832336.

Prevalence and predictors of restless legs syndrome in non-pregnant Saudi women of childbearing age.

PURPOSE: This study assessed the prevalence of restless legs syndrome (RLS) and its correlates and severity among non-pregnant Saudi women of childbearing age. METHODS: Consecutive non-pregnant female visitors (age 15-44 years) of the primary care centers of the female University campus at King Saud University (n = 1,136) were interviewed face-to-face to determine the presence and severity of RLS using the International Restless Legs Syndrome (IRLS) Study Group criteria and IRLS severity scale. RESULTS: A total of 271 participants (24%) were diagnosed with RLS. Of these cases, severe/very severe RLS was diagnosed in 13% and mild/moderate in 87%. None of these participants had been diagnosed or treated for RLS before. Subjects with RLS were older, had a higher body mass index, and a higher prevalence of vitamin D deficiency and diabetes mellitus than those without RLS. Multivariate binary logistic regression analysis identified the following independent predictors of RLS: age (OR 1.03 [1.009-1.051], p = 0.004), vitamin D deficiency (OR 2.147 [1.612-2.86], p < 0.001), and diabetes mellitus (OR 4.408 [1.946-9.982], p < 0.001). CONCLUSIONS: Our results indicate that RLS is very common and underdiagnosed among non-pregnant Saudi women of a childbearing age-attending primary care cents. RLS was linked to age, vitamin D deficiency, and diabetes mellitus.