Determinants Of Sleep Quality Research Articles

Determinants of Sleep Quality: A Cross-Sectional Study in University Students.

When entering the university setting, poor sleep quality is reportedly prevalent among students and has been linked to a range of adverse health outcomes, including reduced academic performance. Moreover, determinants of sleep quality are not yet fully understood. This study was designed to (1) assess the prevalence of poor sleep quality and (2) identify determinants of sleep quality in German university students. In total, 1,684 undergraduate and graduate students (50.6% female, mean age 22.87 ± 3.15 years) from multiple academic disciplines completed a cross-sectional online survey assessing socio-demographic, health, and study-related indicators and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). In our sample, 820 (48.7%) met the PSQI cut-off score (>5) for poor sleep quality. Multiple regression analysis showed that older age, being a business student, lower subjective social status, poorer self-rated health, stress, exhaustion, and poor academic performance significantly predicted poor sleep quality. Our findings document a high prevalence of poor sleep quality among university students and suggest that business students, especially, might be exposed to a greater risk for poor sleep quality. Furthermore, the results of this study are valuable for academic staff to develop tailored interventions to promote healthy sleep-in university students.

Frequency of poor sleeping and determinants of sleep quality among erectile dysfunction sufferers

Frequency of poor sleeping and determinants of sleep quality among erectile dysfunction sufferers

Determinants of sleep quality in cancer patients: a tertiary center experience from Punjab, Pakistan

Background: Cancer diagnosis and treatment can trigger and/or worsen insomnia. This is a double-edged sword as sleep disturbances then exacerbate cancer symptoms. Objectives: To determine the sleep quality in cancer patients as well as the relationship of sleep quality with socioeconomic status, financial burden, marital status, Eastern Cooperative Oncology Group (ECOG) performance status, pain, use of analgesia, and type of cancer. Materials and Methods: An analytical cross-sectional study was carried out with 100 adult and pediatric cancer patients presenting to Mayo Hospital, Lahore. The Urdu version of the Pittsburg Sleep Quality Index (PSQI-U), Numerical Rating Scale (NRS), and Eastern Cooperative Oncology Group (ECOG) score were used to determine the quality of sleep, the intensity of pain, and performance status respectively. Statistical analysis was carried out using SPSS software version 26. Binary logistic regression was used to assess factors associated with sleep quality (defined by a cutoff value of ≥5 on the PSQI scale). Variables with p-value <0.25 were used to build the final multivariable regression model. Results: A total of 100 participants, with a mean age of 40.2 ± 19.7 years, and a male gender predilection (88%) were enrolled in the study. Non-hematological malignancies accounted for 62% of all patients while 80% of the participants were suffering from stage 4 cancer. The mean PSQI score was 11.56 ± 5.70. Sleep quality was associated with increasing age, marital status, employment status, pain incidence, increasing ECOG status, and undergoing chemotherapy on univariate analysis. On the multivariable model, increasing age and increasing ECOG scores were independent predictors of sleep quality. Conclusion: Cancer patients have poor sleep quality which is linked with advanced disease, aging, pain, and poor performance status. Medical, behavioral, and psychological interventions can help in alleviating the sleep problems faced by these patients.

Determinants of sleep quality in 5835 individuals living with and beyond breast, prostate, and colorectal cancer: a cross-sectional survey.

The present study aimed to quantify the level of sleep problems in 5835 breast, prostate, and colorectal cancer survivors, and explore a number of potential determinants of poor sleep quality in the present sample. BMI, diet, and physical activity were of particular interest as potential determinants. Participants who completed the 'Health and Lifestyle after Cancer' survey were adults who had been diagnosed with breast, prostate, or colorectal cancer (mean time since cancer diagnosis was 35.5 months, SD=13.56). Sleep quality was assessed using the Pittsburgh Sleep Quality Index. BMI was calculated from self-reported height and weight. Participants were categorised as meeting/not meeting the World Cancer Research Fund (WCRF) recommendations for fibre, fruit and vegetables, added sugar, red meat, processed meat, fat, alcohol, and physical activity. Analyses accounted for demographic and clinical factors. Fifty-seven percent of those with sleep data were classified as poor sleepers (response rate 79%). Being female, having a higher number of cancer treatments, more comorbid conditions, and being more anxious/depressed increased the odds of being a poor sleeper. After adjustment for these factors, there were no associations between diet/alcohol/physical activity and sleep. However, BMI was associated with sleep. Individuals in the overweight and obese categories had 22% and 79% higher odds of being poor sleepers than individuals in the underweight/healthy weight category, respectively. The findings suggest that there may be a need to develop sleep quality interventions for cancer survivors with obesity. Even after adjustment for multiple clinical and demographic factors, BMI (particularly obesity) was associated with poor sleep. Thus, researchers and health professionals should find ways to support individuals with overweight and obesity to improve their sleep quality. The present findings highlight that poor sleep is a common issue in cancer survivors. Interventions seeking to improve outcomes for cancer survivors over the longer term should consider sleep quality.

Pathways to adolescents’ health: chronotype, bedtime, sleep quality and mental health

ABSTRACT The strong relationship between sleep and health is defined in the literature. While the need for sleep increases in adolescence with the effect of physiological and hormonal changes, the studies have highlighted the serious sleeping problems of adolescents compared to childhood and adulthood. This study aimed to examine the relationship between chronotype, bedtime, sleep quality and mental health among adolescents. This research was a descriptive-relational study. A total of 1083 students constituted the group of the research. The data were collected through the Morningness-Eveningness Questionnaire (MEQ) and General Health Questionnaire and a questionnaire consisting of some questions about sleep. In the evaluation of data, multiple regression, mediation and path analysis were performed. Age, having problems affecting sleep, difficulties falling asleep, sharing the room with someone else and lack of leisure activities were related to bedtime. It was found that determinants of sleep quality were the variables related to sleep itself. Being a male student, having problems affecting sleep, difficulties falling at sleep, waking up during the night, getting support in the morning for waking up and lack of leisure activities negatively affected mental health. MEQ scale was interpreted as a determinant of sleep time, sleep quality, and mental health level. Although the MEQ score directly affected sleep quality, bedtime had a partial mediation role between MEQ score and sleep quality. Sleep quality had a full mediation role between MEQ score and mental health score. School health workers, especially nurses, should consider chronotype-focused measures to improve adolescents’ sleep quality and psychosocial health.

Off-training physical activity and training responses as determinants of sleep quality in young soccer players

This study aimed to quantify and assess the relationship of young soccer players' off-training physical activity (PA) and training responses on sleep quality. Eleven adolescent soccer players (13 ± 0.5 years old) were monitored during weekdays for four consecutive weeks, throughout soccer practice days. Off-training PA and sleep quality were assessed using 100 Hz tri-axial accelerometers and training responses analyzed using 20 Hz global positioning measurement units. A cluster analysis classified all cases into three different dimensions, (1) off-training PA, (2) training responses and (3) sleep quality. For each dimension, the most important variables for classifying the cases into clusters were sedentary PA and moderate-to-vigorous PA; total distance covered and impacts; and sleep onset latency and sleep fragmentation index, respectively. Afterwards, a correspondence analysis was used to identify whether off-training PA and training responses affected sleep quality. Results exposed that high to medium off-training PA combined with medium to high training responses may have decreased sleep quality. Conversely, no correspondence was observed between off-training PA and training responses, with higher sleep quality. This study emphasizes the importance of sports organizations adopting a holistic approach to youth soccer players’ development, that appropriately considers the inter-relationship between lifestyle, performance and health-related information.

The association of smartphone addiction, sleep quality and perceived stress amongst Jordanian dental students.

Smartphone addiction has been associated with sleeping problems and psychological anxiety. However, little is known about the association of smartphone addiction, sleep quality and perceived stress amongst university students particularly in dentistry. This study investigated the association of these variables amongst dental students in a Jordanian dental faculty. A sample of 420 undergraduate dental students enrolled for academic year 2017/2018 at the Jordan University of Science and Technology participated in this study. They were given a set of self-administered questionnaires which consisted of questions regarding demographic information, characteristics of smartphone use, assessment of smartphone addiction, sleep quality as well as perceived stress. The mean Smartphone Addiction Scale (SAS) score amongst Jordanian dental students was high (109.9±23.8). The correlation between SAS and Global Pittsburg Sleep Quality Index (PSQI) score was significant (r=0.137, P=0.005) indicating that the higher the smartphone addiction level, the poorer the quality of sleep. Similarly, a significant correlation was found between Perceived Stress Scale-10 (PSS-10) score and Global PSQI score (r=0.348, P<0.001) which implied that students who have higher perceived stress experienced poorer sleep quality. Year 3 students (clinical year), smartphone addiction and perceived stress were determinants of sleep quality. Dental students who have high levels of smartphone addiction or high perceived stress levels experienced poor sleep quality. Identifying smartphone addicts amongst students as well as stressors are imperative measures to allow timely assistance and support in the form of educational campaigns, counselling, psychotherapy and stress management.

Sleep dissatisfaction and insufficient sleep duration in the Italian population

To investigate the prevalence and possible determinants of sleep quality and quantity, we used data from a cross-sectional study conducted in 2019 on a sample of 3120 subjects, representative of the general Italian adult population. Sleep dissatisfaction was reported by 14.2% and insufficient sleep (duration) by 29.5% of adults. Sleep dissatisfaction and insufficient sleep were directly related with age (p for trend < 0.001), and inversely related with socioeconomic class (p for trend < 0.001) and income (p for trend < 0.001). Sleep dissatisfaction was higher among women (odds ratio, OR 1.30; 95% confidence interval, CI 1.05–1.60). Insufficient sleep was inversely related to education (p for trend < 0.001) and more frequent in current compared to never smokers (OR 1.32; 95% CI 1.08–1.61). Sleep dissatisfaction was higher among divorced/separated compared with married subjects (OR 1.75; 95% CI 1.20–2.58) and lower among subjects living with children aged 0–14 years (OR 0.48, 95% CI 0.33–0.70). Pet owners more frequently had sleep dissatisfaction (OR 1.35, 95% CI 1.08–1.68) and insufficient sleep (OR 1.46, 95% CI 1.23–1.73). In Italy, self-perceived sleep problems appear to be increasing. Sleep problems can contribute to aggravating health disparities in the society. The unfavourable relationship with pets (and the favourable ones with children) should be confirmed by longitudinal studies.

Characterization and determinants of sleep measured by self-report and wrist actigraphy in patients with interstitial lung disease

PURPOSE The purpose of this study was to determine the association between sleep measurements by wrist actigraphy and patient self-report and assess the impact of physical activity and extrapulmonary symptoms on sleep quality in patients with fibrotic interstitial lung disease (ILD). METHODS Patients were recruited from specialized ILD clinics. Total sleep time, sleep efficiency, sleep latency and number of sleep disturbances were measured using the Pittsburgh Sleep Quality Index (PSQI) and an ActiGraph monitor worn on patients’ non-dominant wrist for seven consecutive days. Step counts were monitored over the same period using a waist monitor. Extrapulmonary symptoms were assessed with the Hospital Anxiety and Depression Scale and Brief Pain Inventory. Multivariable analyses were used to examine whether physical activity and extrapulmonary symptoms were determinants of sleep quality in fibrotic ILD. RESULTS A total of 111 patients were assessed (62% male, mean age 70 ± 9 years). Mean self-reported total sleep time was 494 ± 80mins/night. Median self-reported sleep efficiency and latency were 97% (94–98%) and 15 min (8–30 min), respectively. Poor sleep quality was reported in 61% of patients. Wrist monitors detected a mean total sleep time of 441 ± 72mins/night. Median sleep efficiency and latency measured by wrist monitors were 88% (83–91%) and 2 min (0–7 min), respectively. The PSQI was largely within limits of agreement in reference to the wrist monitor recordings. Higher pain severity was an independent predictor of reduced sleep efficiency, increased sleep latency and greater number of sleep disturbances measured by the PSQI on adjusted analyses. CONCLUSIONS The PSQI is generally in agreement with wrist actigraphy measurements. Pain is a determinant of sleep in fibrotic ILD.

0899 Determinants of Sleep Quality in Patients with Chronic Obstructive Pulmonary Disease and Concomitant Obstructive Sleep Apnea: the COPD-OSA Overlap Syndrome

0899 Determinants of Sleep Quality in Patients with Chronic Obstructive Pulmonary Disease and Concomitant Obstructive Sleep Apnea: the COPD-OSA Overlap Syndrome

Sleep Pattern and Predictors of Sleep Disturbance Among Family Caregivers of Terminal Ill Patients With Cancer in Taiwan: A Longitudinal Study.

Sleep disturbance commonly has a negative impact on the well-being of family caregivers (FCs) of terminally ill patients with cancer. The effect of sleep disturbance on FCs has not been explored through long-term follow-up studies in Taiwan. The purposes of this study were to (1) identify the trajectory of sleep quality of FCs of terminally ill patients with cancer in Taiwan and (2) examine the determinants of sleep disturbance through a longitudinal follow-up until patient death. A prospective, longitudinal study was conducted among 95 FCs of terminally ill patients with cancer. The FCs' sleep quality was measured subjectively by using the Pittsburgh Sleep Quality Index and objectively by wearing a wrist actigraphy for 48 hours each month during the 6-month follow-up assessments. The trajectory and determinants of sleep quality were identified using a generalized estimation equation approach. The FCs' sleep quality significantly decreased as the patient's death approached. Family caregivers who were women or older, had a relative with a longer survival period after diagnosis, reported higher levels of depression and fatigue, and provided lower levels of assistance to their relatives experienced more sleep disturbance. The sleep quality of Taiwanese FCs significantly deteriorated as the death of the terminally ill patients with cancer approached. Early detection of the FCs' sleep disturbance, increasing their self-awareness of sleep problems, and providing nonpharmacological interventions and psychosocial support may be helpful for FCs to improve their quantity and quality of sleep.

Contributing factors and effects on health-related quality of life in patients with systemic lupus erythromatosus complaining of sleep disturbances

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can affect multiple organs and systems. Studies with subjective sleep measures have shown that SLE patients have poor sleep quality. This study evaluates sleep quality and its contributors in women with SLE. Methodology: Sleep quality was assessed in 50 women with SLE using the Pittsburgh Sleep Quality Index (PSQI). Disease activity and cumulative disease damage were assessed with standard indices. Patients answered the hospital anxiety and depression scale and lupus quality of life (QoL). Univariate and multivariate analyses were performed to find contributors of poor sleep quality and association of sleep quality with HRQoL by electrolyte imbalance analysis and brain MRI. Results: Sleep quality was poor in 90% of our SLE patients. Compared with the general population, patients had higher frequency of poor sleep quality than the general population and also higher scores in most of the PSQI components, except sleep latency and daytime dysfunction due to sleepiness. Conclusion: Sleep quality disturbances are common in women with SLE and significantly impair their QoL. Age, disease activity, and anxiety/depression were significant determinants of sleep quality in our study. Psychological factors are major contributors to poor sleep quality in SLE patients, which highlights the need for having a bio psychosocial approach toward the management of sleep problems in these patients. Studies with objective sleep measures, prospective studies, as well as interventional studies, are warranted in this regard.

Determinants of sleep quality among pregnant women in China: a cross-sectional survey

Purpose: Sleep disturbances are common during pregnancy, yet few studies are currently available regarding the determinants of sleep quality among pregnant women in China. This study aimed to: (a) calculate the prevalence of sleep disorder during pregnancy, (b) examine the difference in sleep quality among three trimesters, and (c) identify determinants of sleep quality in pregnant women.Materials and methods: This study was designed as a cross-sectional survey. Five hundred pregnant women were recruited at the outpatient department of obstetrics and gynecology of two teaching hospitals in central China. Five selfreport questionnaires were used for gathering data, including information of sample characteristics, sleep quality (Pittsburgh Sleep Quality Index (PSQI)), prenatal depression (the Edinburgh Postnatal Depression Scale (EPDS)), perceived stress (Perceived Stress Scale (PSS)), and perceived social support (Multidimensional Scale of Perceived Social Support (MSPSS)).Results: A total of 454 pregnant women participated in the study between September 2016 and April 2017. Eighty-seven percent pregnant women experienced sleep disorder (PSQI score >5). Poorer global sleep quality, subjective sleep quality, lower sleep efficiency and sleep disturbances were most prevalent during third trimester. The significant contributors to sleep quality for pregnant women were prenatal depression, maternal age, and gestational age.Conclusions: Sleep disorder is very common in pregnant women from China. Depressive symptoms, increased maternal age, and gestational age are determinants of sleep quality. These determinants can assist healthcare professionals in preventative intervention.

What Sways People's Judgment of Sleep Quality? A Quantitative Choice-Making Study With Good and Poor Sleepers.

Study objectives:We conceptualized sleep quality judgment as a decision-making process and examined the relative importance of 17 parameters of sleep quality using a choice-based conjoint analysis.Methods:One hundred participants (50 good sleepers; 50 poor sleepers) were asked to choose between 2 written scenarios to answer 1 of 2 questions: “Which describes a better (or worse) night of sleep?”. Each scenario described a self-reported experience of sleep, stringing together 17 possible determinants of sleep quality that occur at different times of the day (day before, pre-sleep, during sleep, upon waking, day after). Each participant answered 48 questions. Logistic regression models were fit to their choice data.Results:Eleven of the 17 sleep quality parameters had a significant impact on the participants’ choices. The top 3 determinants of sleep quality were: Total sleep time, feeling refreshed (upon waking), and mood (day after). Sleep quality judgments were most influenced by factors that occur during sleep, followed by feelings and activities upon waking and the day after. There was a significant interaction between wake after sleep onset and feeling refreshed (upon waking) and between feeling refreshed (upon waking) and question type (better or worse night of sleep). Type of sleeper (good vs poor sleepers) did not significantly influence the judgments.Conclusions:Sleep quality judgments appear to be determined by not only what happened during sleep, but also what happened after the sleep period. Interventions that improve mood and functioning during the day may inadvertently also improve people’s self-reported evaluation of sleep quality.

Determinants of sleep quality among pregnant women in China: A cross-sectional survey

Determinants of sleep quality among pregnant women in China: A cross-sectional survey

Determinants of Sleep Quality among Undergraduate Students of Universities of Karachi

Background: The goal of this study is to evaluate the extent to which caffeine consumption, cigarette smoking, technology use, and academics are associated with the sleeping habits of university students. Methods: 643 undergraduate students aged 18 to 23 from five universities of Karachi completed a cross-sectional survey about sleep patterns and lifestyle habits between December 2014 and November 2015. Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality. Data was entered and analyzed using SPSS version 22. Pearson Chi- square test was applied to determine relationship between sleep patterns and factors affecting sleep. Results: Threshold of significance was set at &lt;0.05. Results: Majority of the participants (60.5%) reported poor sleep quality (PSQI score &gt;5), with an average PSQI score of 6.5 (±3.033). Sleep duration was less than 7 hours for 71.8% (N=462) of the participants. Also, most participants went to bed between 9pm to 12am, with 52.5% of males (N=136) sleeping after 12am compared to 46.1% (N=177) of the females. Other than energy drinks, no stimulant beverage showed significant relation with sleep quality. However, coffee, tea and energy drinks had a negative impact on sleep onset latency. Smoking too showed an association with poor sleep quality (p-value &lt;0.009). Mobile phone was by far the most frequently used technological device. Conclusions: Poor sleep quality is prevalent among college students of Karachi. Behavioral habits like consumption of caffeinated drinks, smoking, and technology use are associated with increased odds of poor sleep quality.

Association between circadian rhythm, sleep disturbances and temperament in major depression, bipolar disorder and schizophrenia

IntroductionCircadian rhythms and quality of sleep have been associated with temperament characteristics in healthy populations. Since temperaments are personality traits concerning the behavioral, motivational and emotional responses, adaptive capacity for sleep and circadian rhythm may also be related with temperament traits.AimsTo identify the determinants of sleep quality (SQ) and biological rhythm (BR) in bipolar disorder, schizophrenia and depression among temperament measures.MethodsPatients with bipolar disorder (BD, n = 49), major depression (MD, n = 35), schizophrenia (SZ, n = 30) and a healthy control group (HC, n = 36) were enrolled. Pittsburgh Sleep Quality Index (PSQI), Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) and the Temperament and Character Inventory (TCI) were the measures. One-way ANOVA, Spearman Correlation Test and Linear Regression analyses were the other comparisons.ResultsDeterminants of sleep quality were self-directedness in MD [F(1,26) = 6.10, P = 0.020] and BD [F(1,31) = 10.88, P = 0.002] groups. Self-transcendence (P = 0.004), self-directedness (P = 0.038) and persistence (P = 0.05) were the determinants of sleep quality in schizophrenia group [F(3,21) = 9.71, P &lt; 0.001]. Harm-avoidance was the determinant of sleep quality in the HC group [F(1,28) = 7.97, P &lt; 0.001]. Determinants of biological rhythms were harm-avoidance in the BD group [F(1,32) = 9.65, P = 0.004] and self-directedness in the SZ group [F(1,23) = 11.09, P = 0.003] and harm-avoidance (P &lt; 0.001) and self-transcendence (P = 0.039) in the HC group [F(2,27) = 15.81, P &lt; 0.001].ConclusionsSelf-Directedness was associated with circadian rhythm and sleep quality in MD, BD and SZ groups. Extreme temperament features may contribute to emotional and behavioral dysfunction, which may lead to abnormal sleep patterns in psychiatric disorders.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Sleep quality in women with systemic lupus erythematosus: contributing factors and effects on health-related quality of life.

Sleep quality disturbances are common in patients with systemic lupus erythematosus (SLE). We evaluated sleep quality and its contributors in women with SLE. Also we evaluated the effects of sleep quality disturbance on patients' health-related quality of life (HRQoL). Sleep quality was assessed in 77 women with SLE (age 36.5±10.1years) using the Pittsburgh Sleep Quality Index (PSQI). Disease activity and cumulative disease damage were assessed with standard indices. Patients completed the Hospital Anxiety and Depression Scale and LupusQoL. Univariate and multivariate analyses were performed to find contributors of poor sleep quality and association of sleep quality with HRQoL. Poor sleep quality was present in 44 patients (57.1%). Poor sleepers were older (P=0.015) and had higher body mass index (P=0.027) and more severe anxiety (P<0.001) and depression symptoms (P<0.007) compared with good sleepers. In the logistic regression model, age (β=1.16, P=0.006), disease activity (β=1.10, P=0.050), and anxiety/depression composite score (β=1.16, P=0.008) were independent contributors of poor sleep quality. Poor sleepers had impaired HRQoL in almost all domains of the LupusQoL than good sleepers (P<0.05). Poor sleep quality is common in women with SLE and significantly impairs their HRQoL. Age, disease activity and psychological factors were determinants of sleep quality in our study. Studies with objective sleep measures as well as interventional studies are warranted in this regard.

Poor sleep quality in systemic lupus eritematosus: does it depend on depression?

Introduction Sleep disturbances are frequently observed in rheumatic diseases and significantly affect the quality of life of patients. The prevalence and characteristics of sleep disturbances in Systemic Lupus Erythematosus (SLE) are poorly studied. Objectives This study aimed at evaluating both prevalence of sleep disorders and sleep quality in a cohort of SLE women in comparison with patients suffering from a chronic disease as hypertension (H). In addition we explored determinants of sleep quality in SLE. Materials and methods In this cross-sectional study, 86 consecutive SLE women patients were evaluated from January 2012 through December 2012. 81 Have been recruited. The Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Beck Depression Inventory (BDI) and the Self-Rating-Anxiety Scale (SAS) were administered to all subjects. Poor sleep quality was defined as PSQI >5, insomnia as ISI >15, depressive symptoms as BDI >10, and trait anxiety as STAI-Y2 >40. Patients with other sleep disorders were excluded. Socio-demographic data were collected and a rheumatologic assessment was performed, including disease activity and damage scales, comorbidities and ongoing treatments. A control group of 53 H age matched women were also recruited. Results For the SLE cohort (mean age 44.0 ± 7.8 years; mean disease duration 15.5 ± 7.8 years, in disease remission) poor sleep quality resulted in 62.2% SLE patients versus 39.6% of H group (p Conclusion In this cohort of SLE women, insomnia and poor sleep quality were common. Especially poor sleep quality, difficulties in maintaining sleep and/or early morning awakening were more common in SLE than in H patients. In addition, depression was highly prevalent in SLE and was a major determinant of poor sleep quality.In addition poor sleep quality may be related to immunosuppressive therapy. These data highlight the importance of investigating sleep disorders, depressive symptoms and the role of therapy in SLE patients. Acknowledgements L. Carli, L. Ghiadoni.

Sleep disturbance in lupus patients

Evaluation of: Chandrasekhara PKS, Jayachandran NV, Rajasekhar L, Thomas J, Narsimulu G: The prevalence and associations of sleep disturbances in patients with systemic lupus erythematosus. Mod. Rheumatol. 19(4), 407–415 (2009). Fatigue is a common problem in systemic lupus erythematosus (SLE), and there is a great interest in the role of sleep disturbances in this regard. In the current study of 50 SLE patients, two-thirds were poor sleepers according to Pittsburgh Sleep Quality Index scores. Despite correlations between sleep disturbance and several factors, SLE disease activity was the only independent determinant of sleep quality. A study limitation was the failure to assess some important factors such as physical activity. Still, these findings underline the importance of sleep disturbance in SLE and its importance as a contributing factor to fatigue.