Efficacy of oral and non-oral migraine prophylactic treatment on self-reported subjective sleep quality in migraine patients with sleep problems: A review and meta-analysis.

This study aims to investigate the effects of oral and non-oral migraine prophylaxis on subjective sleep quality in migraine patients with sleep problems. A bidirectional relationship between migraine and sleep is presumed, although this relationship is not fully clarified. Possibly, prophylactic treatment of migraine aiming at a reduction of migraine attack frequency can also positively affect the quality of sleep for patients with migraine with sleep problems. PubMed, Cochrane, Embase and CINAHL databases were searched in March 2022 for studies evaluating prophylactic treatment of migraine and the impact on perceived sleep quality (Pittsburgh Sleep Quality Index or Insomnia Severity Index). A systematic review using the McMaster Tool and a random-effects meta-analysis (effect size Cohen's d) were conducted. Seven studies were identified, including 989 participants, of which 844/989 (85.3%) female, with a mean (SD) age of 41.3 (12.1) years. In 6/7 (85.7%) studies, monthly migraine days improved (p < 0.002). Five out of six (83.3%) studies presented a relevant improvement in quality of sleep (p < 0.05), and one study reported a clinically meaningful improvement in the treatment group (Insomnia Severity Index change >7, in >50% of participants). The meta-analysis showed a large effect size of 1.09 (95% confidence interval 0.57-1.62; overall p < 0.001; Cochran's Q < 0.0001) for migraine prophylaxis on improving sleep quality. In conclusion, prophylactic migraine treatment improves sleep quality in patients with migraine and sleep problems, as measured with self-reported questionnaires Pittsburgh Sleep Quality Index and Insomnia Severity Index. Unfortunately, some included studies used prophylactic treatment that is not in current (international) guidelines. The evidence for this improvement in quality of sleep is strong, and seems a generic effect of migraine prophylaxis.

Effects of morning and evening physical exercise on subjective and objective sleep quality: an ecological study.

To optimise the relationship between exercise and sleep quality, the intensity of exercise and its proximity to sleep are key factors to manage. Although low-to-moderate exercises promote sleep quality, late-evening vigorous exercise instead of morning should still be avoided. It potentially impacts the objective and subjective markers of sleep quality. In the present study, we investigated the effects of vigorous morning and evening exercise on objective and subjective sleep features in an ecological context. A total of 13 recreational runners (mean [SD] age 27.7 [7.2] years, four females) performed a 45-60 min run (70% maximal aerobic velocity) either in the MORNING (30 min to 2 h after waking-up) or in the EVENING (2 h to 30 min before sleep). The two exercise conditions were separated by a REST day. After each condition, sleep was objectively assessed using an electroencephalographic headband and subjectively using the Spiegel Sleep Inventory. Compared with REST, both MORNING and EVENING exercise increased the time spent in non-rapid eye movement (NREM, +24.9 min and +22.7 min; p = 0.01, η2 = 0.11, respectively). Longer NREM duration was mainly due to sleep stage 2 extension after both MORNING (+20.8 min) and EVENING (+22.8 min) exercise relative to REST (p = 0.02, η2 = 0.12). No other effect of exercise on either objective or subjective sleep could be observed. Exercise, independently of the time at which it takes place, leads to extended NREM sleep without other effects on sleep quality. Considering the crucial role of exercise in achieving good health, sleep hygiene guidelines should be updated to promote exercise at any time of the day.

Electroencephalography Microstate Class D is a Brain Marker of Subjective Sleep Quality for College Students with High Habitual Sleep Efficiency.

Subjective sleep quality is an individual's subjective sleep feeling, and its effective evaluation is the premise of improving sleep quality. However, people with autism or mental disorders often experience difficulties in verbally expressing their subjective sleep quality. To solve the above problem, this study provides a non-verbal and convenient brain feature to assess subjective sleep quality. Reportedly, microstates are often used to characterize the patterns of functional brain activity in humans. The occurrence frequency of microstate class D is an important feature in the insomnia population. We therefore hypothesize that the occurrence frequency of microstate class D is a physiological indicator of subjective sleep quality. To test this hypothesis, we recruited college students from China as participants [N = 61, mean age = 20.84 years]. The Chinese version of the Pittsburgh Sleep Quality Index scale was used to measure subjective sleep quality and habitual sleep efficiency, and the state characteristics of the brain at this time were assessed using closed eyes resting-state brain microstate class D. The occurrence frequency of EEG microstate class D was positively associated with subjective sleep quality (r = 0.32, p < 0.05). Further analysis of the moderating effect showed that the occurrence frequency of microstate class D was significantly and positively correlated with subjective sleep quality in the high habitual sleep efficiency group. However, the relationship was not significant in the low sleep efficiency group (ßsimple = 0.63, p < 0.001). This study shows that the occurrence frequency of microstate class D is a physiological indicator of assessing subjective sleep quality levels in the high sleep efficiency group. This study provides brain features for assessing subjective sleep quality of people with autism and mental disorders who cannot effectively describe their subjective feelings.

The influence of sexual activity on sleep: A diary study.

Aiming to promote overall health and well-being through sleep, the present studies examine to what extent sexual activity serves as a behavioural mechanism to improve sleep. The relation between sexual activity, i.e., partnered sex and masturbation with or without orgasm, and subjective sleep latency and sleep quality is examined by means of a cross-sectional and a longitudinal (diary) study. Two hundred fifty-six male and female participants, mainly students, completed a pre-test set of questionnaires and, thereafter, a diary during 14 consecutive days. The cross-sectional study was analysed using analysis of covariance and demonstrated that both men and women perceive partnered sex and masturbation with orgasm to improve sleep latency and sleep quality, while sexual activity without orgasm is perceived to exert negative effects on these sleep parameters, most strongly by men. Accounting for the repeated measurements being nested within participants, the diary data were analysed using multilevel linear modelling (MLM). Separate models for subjective sleep latency and sleep quality were constructed, which included 2076 cases at level 1, nested within 159 participants at level 2. The analyses revealed that only partnered sex with orgasm was associated with a significantly reduced sleep latency (b = -0.08, p < 0.002) and increased sleep quality (b = 0.19, p < 0.046). Sexual activity without orgasm and masturbation with and without orgasm were not associated with changes in sleep. Further, no gender differences emerged. The present studies confirm and significantly substantiate findings indicating that sexual activity and intimacy may improve sleep and overall well-being in both men and women and serve as a directive for future research.

Optimizing sleep across the menopausal transition.

Women frequently experience sleep disturbances, particularly night-time awakenings, as they transition menopause and enter postmenopause. Sleep is essential for optimal functioning and health. Persistent and distressing sleep disturbances across menopause can negatively impact daytime functioning and productivity, and increase risk for mental and physical health conditions. While multiple factors can disturb sleep, two unique factors in the context of menopause are vasomotor symptoms and the changing reproductive hormone environment. Vasomotor symptoms are associated with sleep disturbances and contribute significantly to awakenings and amount of time spent awake during the night. Even after accounting for vasomotor and depressive symptoms, lower estradiol and higher follicle stimulating hormone levels, indicative of menopause, are associated with sleep disturbance, particularly awakenings, suggesting that the hormone environment may directly affect sleep. Management strategies for clinically significant menopausal sleep disturbances include cognitive behavioral therapy for insomnia, which is effective and durable in treating menopausal insomnia. Hormone therapy alleviates sleep disturbances, particularly in the presence of disruptive vasomotor symptoms. Sleep disturbances have a significant impact on women's functioning and health, and there is a need for further research of the underlying mechanisms to advance effective preventative and treatment strategies that ensure optimal health and well-being of midlife women.

Self-reported sleep quality and oligo/astheno/teratozoospermia among men attending an infertility clinic: a longitudinal study.

OBJECTIVE: We aimed to examine the influence of sleep disturbances on the risk of oligo/astheno/teratozoospermia (OAT) in men attending an infertility clinic. METHODS: We consecutively enrolled men attending an infertility clinic from July 2020 to June 2021. Semen parameters were obtained at initial presentation, and the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale score, and the STOP-BANG Questionnair were completed to assess sleep quality. Embryo outcomes were evaluated after infertility treatment. RESULTS: Of 466 men enrolled, 119 had OAT (OAT group) and 347 had normozoospermia (NS group). There were no differences between the two groups regarding Epworth Sleepiness Scale and STOP-BANG Questionnaire scores. The prevalence of poor sleep quality (Pittsburgh Sleep Quality Index score ≥ 5) in the OAT group was significantly higher than that in the NS group (42% vs. 29%, p = 0.009). A higher rate of poor subjective sleep quality was observed in the OAT group compared with the NS group (p = 0.005) and Pearson's correlations revealed a negative relationship between subjective sleep quality and semen quality. Logistic regression found that subjective sleep quality was independently associated with an increased risk of OAT (adjusted odds ratio = 0.610, p = 0.007). CONCLUSIONS: Men with OAT attending an infertility clinic exhibited poor subjective sleep quality. Improving sleep disturbances may be a target intervention to reduce the risk of OAT. This possibility warrants further investigation.

Association and prediction of subjective sleep quality and postoperative delirium during major non-cardiac surgery: a prospective observational study.

BACKGROUND: Postoperative delirium (POD) is an acute form of brain dysfunction that can result in serious adverse consequences. There has been a link between cognitive dysfunction and poor sleep. The present study aimed to determine the association and prediction of subjective sleep quality and postoperative delirium during major non-cardiac surgery. METHODS: One hundred and thirty-four patients, aged 60 years or older, were scheduled for elective laparotomy or orthopaedic procedures. The Pittsburgh Sleep Quality Index (PSQI) and sleep log were used to assess perioperative subjective sleep quality in participants. Nursing Delirium Screening Checklist (NU-DESC) was used for screening, and the Confusion Assessment Method (CAM) was used to diagnose POD during the first seven days following surgery. The association between subjective sleep quality and POD was assessed using a multivariate logistic regression model. Thereafter, the prediction performance of subjective sleep quality was evaluated using a receiver operating characteristic (ROC) curve. RESULTS: All assessments were completed on 119 patients who had an average PSQI score of 7.0 ± 2.4 before surgery. 23 patients (19.3%) suffered from POD. The multivariate logistic regression analysis showed that the occurrence of POD was closely related to age, BMI, PSQI and operation time. After adjusting for related factors, there was a statistically significant association between PSQI and POD occurrence (OR = 1.422, 95%CI 1.079-1.873, per 1-point increase in PSQI). The ROC curve analysis showed that the optimal PSQI cutoff value was 8.0 for predicting POD, and the area under the ROC (AUROC) value of PSQI was 0.741 (95%CI 0.635 to 0.817). The AUROC of the model developed by the multivariate logistic regression analysis was 0.870 (95%CI 0.797 to 0.925). CONCLUSIONS: The study found that preoperative subjective sleep quality was strongly associated with POD during major non-cardiac surgery. Additionally, PSQI combined with age, BMI, and operation time improved POD prediction.

Sleep disturbance and activation of cellular and transcriptional mechanisms of inflammation in older adults.

BACKGROUND: Sleep disturbance, including poor subjective sleep quality and insomnia disorder, is common in older adults and associated with increases in age-related morbidity risk. Accumulating evidence implicates inflammation as an underlying mechanism. In two complementary studies, we examined whether sleep disturbance is associated with activation of cellular and transcriptional mechanisms of inflammation in older adults. METHODS: Study 1 examined whether healthy older adults with poor subjective sleep quality (n = 62), compared to those with good subjective sleep quality (n = 101), differed in monocytic production of interleukin (IL)-6 and/or tumor necrosis factor (TNF)-α following stimulation with lipopolysaccharide. Study 2 examined whether older adults with insomnia disorder (n = 17), compared to those without insomnia disorder (n = 25), differed in the regulation of transcription factors (TFs) related to immune activation (i.e., nuclear factor-κB/Rel family), sympathetic nervous system (SNS) activity (i.e., cAMP-response element-binding protein), hypothalamic-pituitary-adrenal (HPA) axis activity (i.e., glucocorticoid receptor) and anti-viral responses (i.e., interferon-regulatory factor/interferon-stimulated response element) assessed in peripheral blood mononuclear cells. RESULTS: In Study 1, older adults with poor subjective sleep quality, compared to those with good subjective sleep quality, showed higher percentages of stimulated monocytes producing IL-6 only (25.4 ± 16.8 % vs 20.4 ± 13.9 %; p < 0.05, ηp2 = 0.03), producing TNF-α only (37.6 ± 13.1 % vs 31.2 ± 14.3 %; p < 0.01, ηp2 = 0.05), and co-producing IL-6/TNF-α simultaneously (17.8 ± 11.7 % vs 13.9 ± 9.6 %; p < 0.05, ηp2 = 0.03). In Study 2, older adults with insomnia disorder, compared to those without insomnia disorder, showed higher TF activity related to immune activation (p's < 0.05) and SNS function (p's < 0.001), along with lower TF activity related to HPA axis function (p's < 0.05). CONCLUSION: In older adults, poor subjective sleep quality and insomnia diagnosis are associated with increases in monocytic cytokine production and changes in TF activity related to immune activation, SNS function, and HPA axis function. Activation of markers of cellular and transcriptional inflammation might contribute to the link between sleep disturbance and age-related morbidity risk.

High sleep fragmentation parallels poor subjective sleep quality during the third wave of the Covid-19 pandemic: An actigraphic study.

Studies on sleep during the Covid-19 pandemic have mostly been conducted during the first wave of contagion (spring 2020). To follow up on two Italian studies addressing subjective sleep features during the second wave (autumn 2020), here we assess sleep during the third wave (spring 2021) in a sample of healthy adults from Campania (Southern Italy). Actigraphic data (on 2 nights) and the Pittsburgh Sleep Quality Index were collected from 82 participants (40 F, mean age: 32.5 ± 11.5 years) from 11 March to 18 April 2021, when Campania was classified as a "red zone", i.e. it was subjected to strict restrictions, only slightly looser than those characterizing the first national lockdown (spring 2020). Although objective sleep duration and architecture appeared in the normal range, the presence of disrupted sleep was indexed by a relevant degree of sleep fragmentation (number of awakenings ≥ 1 min: 12.7 ± 6.12; number of awakenings ≥ 5 min: 3.04 ± 1.52), paralleled by poor subjective sleep quality (Pittsburgh Sleep Quality Index global score: 5.77 ± 2.58). These data suggest that the relevant subjective sleep impairments reported during the first wave could have relied on subtle sleep disruptions that were undetected by the few objective sleep studies from the same period. Taken together with sleep data on previous phases of the pandemic, our findings show that the detrimental effects on sleep determined by the initial pandemic outbreak have not abated across the subsequent waves of contagion, and highlight the need for interventions addressing sleep health in global emergencies.

Worse sleep health predicts less frequent breakfast consumption among adolescents in a micro-longitudinal analysis.

BACKGROUND: Poor self-reported sleep health has been linked to not consuming breakfast in adolescents, but it is unknown whether poor sleep measured objectively predicts next-day breakfast consumption within adolescents. We investigated within- and between-person associations of objectively measured sleep dimensions and subjective sleep quality with adolescent breakfast consumption. METHODS: Data were collected from a micro-longitudinal substudy of the Year 15 wave of the Fragile Families and Child Wellbeing Study (n = 590). Adolescents wore an actigraphy device and completed daily diaries for ~ 1 week (M ± SD = 5.6 ± 1.4 nights per adolescent, range: 3-9), where they rated their sleep quality and reported whether they had eaten breakfast that day, with no specific definition of breakfast provided (M ± SD = 5.5 ± 1.4 days per adolescent, range: 3-9). Separate mixed models assessed whether actigraphy-measured sleep duration (linear and quadratic, sleep duration x sleep duration), timing, maintenance efficiency, and subjective quality predicted odds of breakfast consumption both within and between adolescents. Variability of sleep duration and timing (standard deviation per person), sleep regularity index (SRI), and social jetlag were tested as additional between-person predictors. Analyses with predictors other than sleep duration were adjusted for sleep duration. RESULTS: Following nights when adolescents had shorter or longer sleep duration (p = .005; curvilinear association), later sleep onset, or later sleep midpoint (both p = .025) than their own usual, they had lower odds of consuming breakfast the next day (within-person associations). Adolescents who on average had later sleep onset (p = .013) or midpoint (p = .013) or who reported lower sleep quality (p = .011) had lower average odds of consuming breakfast (between-person associations). Adolescents with greater variability of sleep duration (p = .005), midpoint (p = .004), or offset (p < .001) had lower average odds of consuming breakfast (between-person associations). Sleep maintenance efficiency (within or between adolescents), SRI, and social jetlag were not associated with breakfast consumption (all p > .10). CONCLUSIONS: Multiple dimensions of sleep health are associated with breakfast consumption, both within and between adolescents. Poor sleep and dietary behaviors in adolescence may negatively impact future metabolic health.

Levetiracetam as an Adjunctive Treatment for Mania: A Double-Blind, Randomized, Placebo-Controlled Trial.

BACKGROUND: Levetiracetam is an anticonvulsant with a low side effect profile and favorable properties for individuals with bipolar I disorder during their manic phase. Despite initial promising results until about 2008, it appears that this track of research has not been followed-up. To counter this, we tested the influence of adjuvant levetiracetam on acute mania, compared to placebo. More specifically, we performed a randomized, double-blind, placebo-controlled clinical trial among inpatients with bipolar disorder I during their acute phase of mania. METHODS: A total of 72 inpatients (mean age: 33.98 years; 23.6% females) with diagnosed bipolar disorder I and during their acute manic phase were randomly assigned either to the adjuvant levetiracetam (250 mg to a maximum of 1,500 mg) or to the placebo condition. Standard medication was lithium at therapeutic dosages. At baseline, participants completed a series of self-rating questionnaires covering sociodemographic information and subjective sleep. Subjective sleep was re-assessed 24 days later at the end of the study. Experts rated participants' acute state of mania with the Young Mania Rating Scale at baseline and at day 12 and day 24. Participants' cognitive performance was assessed at baseline and at day 24 at the end of the study. RESULTS: Over time, mania scores significantly decreased (large effect size), but more so in the levetiracetam condition, compared to the placebo condition (medium effect size). Likewise, over time, subjective sleep improved (large effect size), but more so in the levetiracetam condition, compared to the placebo condition (large effect size). Over time, cognitive performance improved (large effect size), irrespective of the study condition. CONCLUSIONS: Compared to placebo, adjuvant levetiracetam to lithium improved symptoms of mania, as rated by experts, and subjective sleep quality. Adjuvant levetiracetam had no further favorable (or detrimental) impact on cognitive performance.

Tracking Subjective Sleep Quality and Mood With Mobile Sensing: Multiverse Study.

BACKGROUND: Sleep influences moods and mood disorders. Existing methods for tracking the quality of people's sleep are laborious and obtrusive. If a method were available that would allow effortless and unobtrusive tracking of sleep quality, it would mark a significant step toward obtaining sleep data for research and clinical applications. OBJECTIVE: Our goal was to evaluate the potential of mobile sensing data to obtain information about a person's sleep quality. For this purpose, we investigated to what extent various automatically gathered mobile sensing features are capable of predicting (1) subjective sleep quality (SSQ), (2) negative affect (NA), and (3) depression; these variables are associated with objective sleep quality. Through a multiverse analysis, we examined how the predictive quality varied as a function of the selected sensor, the extracted feature, various preprocessing options, and the statistical prediction model. METHODS: We used data from a 2-week trial where we collected mobile sensing and experience sampling data from an initial sample of 60 participants. After data cleaning and removing participants with poor compliance, we retained 50 participants. Mobile sensing data involved the accelerometer, charging status, light sensor, physical activity, screen activity, and Wi-Fi status. Instructions were given to participants to keep their smartphone charged and connected to Wi-Fi at night. We constructed 1 model for every combination of multiverse parameters to evaluate their effects on each of the outcome variables. We evaluated the statistical models by applying them to training, validation, and test sets to prevent overfitting. RESULTS: Most models (on either of the outcome variables) were not informative on the validation set (ie, predicted R2≤0). However, our best models achieved R2 values of 0.658, 0.779, and 0.074 for SSQ, NA, and depression, respectively on the training set and R2 values of 0.348, 0.103, and 0.025, respectively on the test set. CONCLUSIONS: The approach demonstrated in this paper has shown that different choices (eg, preprocessing choices, various statistical models, different features) lead to vastly different results that are bad and relatively good as well. Nevertheless, there were some promising results, particularly for SSQ, which warrant further research on this topic.

[Sleep in patients of a memory clinic : Clinical characteristics of the discrepancy between subjective and objective assessment]. / Schlaf bei Patienten einer Gedächtnissprechstunde : Klinische Charakteristika der Diskrepanz zwischen subjektiver und objektiver Erfassung.

BACKGROUND: Dementia is often accompanied by sleep disturbances, whereby the diagnostics with subjective procedures and objective methods can produce discrepant results. The frequency and clinical characteristics of patients, whose subjective sleep efficiency was unimpaired and was in contrast to an objectively conspicuous sleep efficiency in the sense of an overestimation, were investigated in a memory consultation. METHODS: On 2 consecutive days, patients underwent guideline-oriented diagnostics for dementia (including mini-mental status examination, MMSE and clinical dementia rating, CDR), supplemented by a subjective (Pittsburgh sleep quality index, PSQI) and objective (overnight actigraphy) sleep assessment. Overestimation of sleep efficiency was defined as a subjective sleep efficiency (SSE) of ≥85% with an actigraphic sleep efficiency (ASE) of <85%. RESULTS: Of 45 patients (74.4 ± 7.8 years; 26 f/19 m; CDR < 1: n = 16, CDR = 1: n = 28; diagnostic groups according to ICD-10: F0: n = 39, F3: n = 5, Z03.x: n = 1) 10 showed an overestimation of sleep efficiency, who showed a lower MMSE score and a higher proportion of patients with a dementia syndrome (CDR = 1) when compared with the other three groups of SSE and ASE ≥85% (n = 17), SSE and ASE <85% (n = 9) and SSE <85% with ASE ≥85% (n = 9). Binary regression showed that MMSE remained an important predictor for overestimation of sleep efficiency. CONCLUSION: Cognitive deficits in memory clinic patients appear to contribute to a poorer perception and/or an underreporting of objectively disturbed sleep. This could promote false negative subjective screening results in a diagnostic process in which a comprehensive sleep assessment is not routinely considered.

Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly.

BACKGROUND: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly. METHODS: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses. RESULTS: Overall, 27.9% of participants in this study demonstrated bad sleepers (with a PSQI score of > 5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items. CONCLUSIONS: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

Can spectral power predict subjective sleep quality in healthy individuals?

The aim of this study was to assess the relationship between electroencephalogram (EEG) power spectral density and subjective sleep quality in healthy individuals. The sample was selected from the archival database of the Sleep Center at the Department for Psychiatry and Psychotherapy, Medical Center - University of Freiburg, and consisted of 206 healthy adults aged 19-73 years (85 male, 121 female) who underwent a polysomnographic examination for two consecutive nights. A multivariate analysis of variance (MANOVA) with spectral power variables of different frequency bands as dependent variables and subjective sleep quality, night number, age and gender as independent variables was statistically significant for subjective sleep quality, age and gender, but not for night number. In subsequent separate ANOVAs, higher subjective sleep quality was significantly related to decreased non-rapid eye movement (NREM) stage 2 sigma 2 and rapid eye movement (REM) delta 1; however, the relation between REM delta 1 and sleep quality did not remain significant when REM duration was accounted for. The effect sizes of the correlations between sleep quality and spectral power were small (r = -0.1). In contrast to common assumptions, the amount of variance in subjective sleep quality that can be explained through EEG power spectral density variables is small. This finding indicates that subjective and objective sleep are different constructs, the interrelations of which are not yet well understood.

Type D Personality and Sleep Quality in Coronary Artery Disease Patients With and Without Obstructive Sleep Apnea: Mediating Effects of Anxiety and Depression.

PURPOSE: The study aimed to examine the association between type D personality trait and sleep quality in coronary artery disease (CAD) patients with and without obstructive sleep apnea (OSA) and to explore the mediating effects of anxiety and depression symptoms. METHOD: A cross-sectional study was performed in 879 CAD patients attending cardiac rehabilitation program (mean age 57.8 years; SD = 9.0; 75% men). Participants underwent full-night polysomnography and were classified in OSA (n = 349) and no OSA (n = 530) groups. Patients were evaluated for type D personality, subjective sleep quality (Pittsburgh sleep quality index), and symptoms of anxiety and depression (hospital anxiety and depression scale). RESULTS: Patients with type D personality reported poorer subjective sleep quality than non-type D patients irrespective of the presence of OSA. Type D and negative affectivity (NA) were associated with worse subjective sleep quality in patients with OSA and without OSA. The mediational analysis revealed that type D and NA were indirectly associated with Pittsburgh sleep quality index through anxiety and depression symptoms in no OSA and OSA patients. CONCLUSION: In CAD patients, type D personality and NA are associated with worse subjective sleep quality and this association is mediated by depression and anxiety symptoms irrespective of OSA presence.

Association between quality of sleep and health-related quality of life in persons with diabetes mellitus type 2.

AIM AND OBJECTIVES: To estimate the relationship of sleep quality with health-related quality of life (HRQOL) in persons with diabetes mellitus type 2 (DMT2) living in the United Arab Emirates (UAE). BACKGROUND: DMT2 is an epidemic health condition in the UAE that has enormous impacts on heath, and consequent effects on HRQOL. However, because of an absence of screening for quality of sleep, people with DMT2 who experience poor sleep are likely to go untreated, which may compound the distressing impacts of DMT2 on their HRQOL. DESIGN: This is a cross-sectional quantitative research design. METHODS: A sample of 268 participants with DMT2 were recruited from community healthcare settings in the UAE using cluster sampling. Participants completed questionnaires, including the Pittsburgh Sleep Quality Index (PSQI) and the World Health Organization HRQOL. Data analysis used descriptive and correlational statistics. RESULTS: Of the 268 participants, 34% identified as "poor sleepers" and 55% had poor HRQOL. Poor sleepers showed significantly lower scores for HRQOL than good sleepers. The global PSQI scores were found to be independently predictive of global HRQOL. Subjective perceptions of sleep quality, the use of sleep medications and impaired daytime functioning were the variables found to have the highest correlations with global HRQOL and its four domains. CONCLUSIONS: This study found that people with DMT2 who indicate experiencing poor quality sleep are more likely to show a negative correlation with HRQOL. Additional research is needed to investigate how poor sleep may impact the health of people with DMT2. RELEVANCE TO CLINICAL PRACTICE: Findings suggest that assessment of sleep quality should be an essential component of diabetes care. Understanding sleep practices may aid public health practitioners and other healthcare providers in the design of culturally appropriate interventions to improve sleep quality in persons with DMT2.

Sleep quality in healthy and mood-disordered persons predicts daily life emotional reactivity.

Disordered sleep has been linked to impaired emotional functioning in healthy and depressed individuals. Little is known, however, about how chronic sleep problems influence emotional reactivity in everyday life. Participants with major or minor unipolar depressive disorder (n = 60) and healthy controls (n = 35) reported on sleep and emotional responses to daily life events using a computerised Experience Sampling Method. We examined whether impaired sleep quality influenced emotional reactivity to daily events, and if this relationship was altered by unipolar mood disorders. Among healthy individuals, sleep difficulties were associated with enhanced negative affect (NA) to unpleasant events and a dulled response to neutral events. However, among mood-disordered persons, sleep difficulties were associated with higher NA across all types of everyday life events. Impaired sleep quality differentially affects daily life emotional reactions as a function of depression.

Depressive symptoms predict the quality of sleep in patients with partial epilepsy--A combined retrospective and prospective study.

INTRODUCTION: Epilepsy is one of the most common neurological diseases and has many detrimental effects on the patients' well-being as well as sleep quality. The aim of this study was to assess the subjective quality of sleep and influencing factors on subjective sleep quality in patients with partial epilepsy using a combined retrospective and prospective study design. METHODS: We conducted a combined retrospective and prospective study in patients with partial epilepsy and analyzed subjective ratings of sleep quality in 32 patients (17 female, 15 male; mean age: 40.41 ± 12.67 years, range: 20-64) with partial epilepsy (mean duration of epilepsy diagnosis: 18.31 ± 13.26 years) and 32 healthy gender-matched and age-matched controls. All patients filled out a seizure diary for 90 days, which included the number, duration, and type (partial vs. secondary generalized) of epileptic seizures and intake of antiepileptic and sleep medications. At baseline, all participants completed the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Beck's Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). Poor sleepers were defined by a PSQI score of ≥ 5. RESULTS: Twenty-three patients (72%) reported 15.17 ± 25.54 seizures in the previous three months, and nine (28%) patients reported being seizure-free. During the 90-day diary period, twenty-two patients (69%) documented a total of 319 epileptic seizures, while ten patients (31%) reported that they were seizure-free. The mean PSQI score of all patients was 4.88 ± 2.92 (range: 1-14) and the mean ESS score was 5.25 ± 2.98 (range: 0-10). The mean PSQI score of the control group was 3.25 ± 1.57 (range: 1-6), and their mean ESS score was 6.72 ± 3.48 (range: 0-14). The comparison of the two groups showed a significantly higher PSQI score in the patient group (t = 2.778, p = 0.008), but no statistically significant difference regarding their ESS score (t = -1.811, p = 0.075). Sixteen (50%) patients were poor sleepers. Good sleepers showed a significantly lower PSQI (2.69 ± 1.08 vs. 7.06 ± 2.49; p < 0.001) and BDI scores (2.38 ± 2.50 vs. 9.63 ± 7.63; p < 0.002) than poor sleepers. Linear regression analysis showed that the BDI score was the significant predictor for the PSQI score (estimate: 0.2019; p = 0.00819) and for the ESS score (estimate: 0.2251; p = 0.0321). CONCLUSION: In patients with partial epilepsy, a higher depression score was the best predictor for a poor subjective sleep quality and increased daytime sleepiness.

Socio-demographic predictors of sleep complaints in indigenous Siberians with a mixed economy.

OBJECTIVES: Socio-demographic indicators closely relate to sleep in industrialized populations. However we know very little about how such factors impact sleep in populations undergoing industrialization. Within populations transitioning to the global economy, the preliminary evidence has found an inconsistent relationship between socio-demographics and sleep complaints across countries and social strata. MATERIALS AND METHODS: Surveys were conducted on a sample of rural Sakha (Yakut) adults (n = 168) during the autumn of 2103 to assess variation in socio-demographics and sleep complaints, including trouble sleeping and daytime sleepiness. Socio-demographic variables included age, gender, socioeconomic measures, and markers of traditional/market-based lifestyle. We tested whether the socio-demographic variables predicted sleep complaints using bivariate analyses and multiple logistic regressions. RESULTS: Trouble sleeping was reported by 18.5% of the participants and excessive daytime sleepiness (EDS) by 17.3%. Trouble sleeping was significantly predicted by older age, female gender, and mixing traditional and market-based lifestyles. EDS was not significantly predicted by any socio-demographic variable. DISCUSSION: These findings support the few large-scale studies that found inconsistent relationships between measures of socioeconomic status and sleep complaints in transitioning populations. Employing a mix of traditional and market-based lifestyles may leave Sakha in a space of vulnerability, leading to trouble sleeping.