Abstract Background Individuals affected with narcolepsy represent a vulnerable segment of the population. However, we only have a partial understanding of this vulnerability. Our study aims to ...examine psychiatric disorders and medical conditions associated with narcolepsy. Methods A total of 320 narcoleptic participants were interviewed regarding sleeping habits, health, medication consumption, medical conditions (International Statistical Classification of Diseases and Related Health Problems, 10th edition), sleep disorders (International Classification of Sleep Disorders, second edition ICSD-2) and mental disorders (Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision DSM-IV-TR) using Sleep-EVAL. A general population comparison sample ( N = 1464) matched for age, sex, and body mass index (BMI) and interviewed with the same instrument was used to estimate odds ratios (OR). Results Five diseases were more frequently observed among narcoleptic participants, including hypercholesterolemia (OR, 1.51), diseases of the digestive system (OR, 3.27), heart diseases (OR, 2.07), upper respiratory tract diseases (OR, 2.52), and hypertension (OR, 1.32). Most frequent psychiatric disorders among the narcolepsy group were major depressive disorder (MDD) (OR, 2.67) and social anxiety disorder (OR, 2.43), both affecting nearly 20% of narcoleptic individuals. However, most mood and anxiety disorders were more prevalent among the narcoleptic group. Alcohol abuse or alcohol dependence was comparable between groups. Conclusions Narcolepsy is associated with a high comorbidity of both medical conditions and psychiatric disorders that need to be addressed when developing a treatment plan.
The pathological use of the internet – conceptualized as ‘internet addiction’ – might be crucial in initiating and increasing sleep disturbances in the community. While inconsistent evidence is ...reported regarding the association of internet addiction and sleep disturbances, the severity of this association remains unclear. This systematic review and meta-analysis were conducted to increase our understanding of the relationship between internet addiction and sleep disturbances. A systematic review was conducted through Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and EMBASE using keywords related to internet addiction and sleep problems. Observational studies (cohort, case-control or cross-sectional studies) focusing on association between internet addiction and sleep disturbances including sleep problems and sleep duration were selected. A meta-analysis using random-effect model was conducted to calculate the odds ratio (OR) for experiencing sleep problems and standardized mean differences (SMDs) for sleep duration. Eligible studies (N = 23) included 35,684 participants. The overall pooled OR of having sleep problems if addicted to the internet was 2.20 (95% CI: 1.77–2.74). Additionally, the overall pooled SMDs for sleep duration for the IA group compared to normal internet users was −0.24 (95% CI: −0.38, −0.10). Results of the meta-analysis revealed a significant OR for sleep problems and a significant reduced sleep duration among individuals addicted to the internet.
Our study aims to explore the associations between outdoor nighttime lights (ONL) and sleep patterns in the human population.
Cross-sectional telephone study of a representative sample of the general ...US population age 18 y or older. 19,136 noninstitutionalized individuals (participation rate: 83.2%) were interviewed by telephone. The Sleep-EVAL expert system administered questions on life and sleeping habits; health; sleep, mental and organic disorders (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; International Classification of Sleep Disorders, Second Edition; International Classification of Diseases, 10(th) Edition). Individuals were geolocated by longitude and latitude. Outdoor nighttime light measurements were obtained from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS), with nighttime passes taking place between 19:30 and 22:30 local time. Light data were correlated precisely to the geolocation of each participant of the general population sample.
Living in areas with greater ONL was associated with delayed bedtime (P < 0.0001) and wake up time (P < 0.0001), shorter sleep duration (P < 0.01), and increased daytime sleepiness (P < 0.0001). Living in areas with greater ONL also increased the dissatisfaction with sleep quantity and quality (P < 0.0001) and the likelihood of having a diagnostic profile congruent with a circadian rhythm disorder (P < 0.0001).
Although they improve the overall safety of people and traffic, nighttime lights in our streets and cities are clearly linked with modifications in human sleep behaviors and also impinge on the daytime functioning of individuals living in areas with greater ONL.
•Internet Gaming Disorder is frequent in undergraduate and graduate students.•Internet Gaming Disorder is associated with a non-restorative sleep and excessive daytime fatigue.•Internet Gaming ...Disorder is also closely related to Major Depressive Disorder and Social Anxiety Disorder.•Spending time on the internet could be a way to cope with social isolation.
This study investigates the prevalence and associations of DSM-5 Internet Gaming Disorder (IGD) with sleep impairment, daytime functioning, psychiatric disorders, and health status among young adults living in student houses on the campus of an American university. A random sample of students living on the campus underwent phone interviews during the 2007 & 2015 academic years. The sample included 1,871 undergraduate and 1,113 graduate students (2,984 in total). Students were considered to have IGD if they recreationally spent ≥15 hours per week on an electronic device (39.4% of the students) and displayed ≥5 addiction-related symptoms; 5.3% of the sample met these 2 criteria. In bivariate analyses, IGD students had a greater proportion of suicidal thoughts (16.9% vs. 6.6%), suicide attempts (9.7% vs. 3.3%), major depressive disorder (9.7% vs. 3.0%), and social anxiety disorder (24.8% vs. 8.5%) than the no-IGD group. In multivariate analyses, IGD predicted non-restorative sleep, excessive fatigue, less close friends, depressive mood, bipolar disorder, social anxiety disorder, and a poor to fair health status. IGD is highly prevalent in this student population, affecting one in 20 students. IGD was associated with a variety of sleep, psychiatric, and health factors which may impact functioning and academic performance.
Epidemiologists have published more than 50 studies of insomnia based on data collected in various representative community-dwelling samples or populations. These surveys provide estimates of the ...prevalence of insomnia according to four definitions: insomnia symptoms, insomnia symptoms with daytime consequences, sleep dissatisfaction and insomnia diagnoses. The first definition, based on insomnia criteria as defined by the DSM-IV, recognizes that about one-third of a general population presents at least one of them. The second definition shows that, when daytime consequences of insomnia are taken into account, the prevalence is between 9% and 15%. The third definition represents 8–18% of the general population. The last definition, more precise and corresponding to a decision-making diagnosis, sets the prevalence at 6% of insomnia diagnoses according to the DSM-IV classification. These four definitions of insomnia have higher prevalence rates in women than in men. The prevalence of insomnia symptoms generally increases with age, while the rates of sleep dissatisfaction and diagnoses have little variation with age. Numerous factors can initiate or maintain insomnia. Mental disorders and organic diseases are the factors that have been the most frequently studied. The association between insomnia and major depressive episodes has been constantly reported: individuals with insomnia are more likely to have a major depressive illness. Longitudinal studies have shown that the persistence of insomnia is associated with the appearance of a new depressive episode. Future epidemiological studies should focus on the natural evolution of insomnia. Epidemiological genetic links of insomnia are yet to be studied. 2002 Harcourt Publishers Ltd
Summary Restless legs syndrome (RLS) has gained considerable attention in the recent years: nearly 50 community-based studies have been published in the last decade around the world. The development ...of strict diagnostic criteria in 1995 and their revision in 2003 helped to stimulate research interest on this syndrome. In community-based surveys, RLS has been studied as: 1) a symptom only, 2) a set of symptoms meeting minimal diagnostic criteria of the international restless legs syndrome study group (IRLSSG), 3) meeting minimal criteria accompanied with a specific frequency and/or severity, and 4) a differential diagnosis. In the first case, prevalence estimates in the general adult population ranged from 9.4% to 15%. In the second case, prevalence ranged from 3.9% to 14.3%. When frequency/severity is added, prevalence ranged from 2.2% to 7.9% and when differential diagnosis is applied prevalence estimates are between 1.9% and 4.6%. In all instances, RLS prevalence is higher in women than in men. It also increases with age in European and North American countries but not in Asian countries. Symptoms of anxiety and depression have been consistently associated with RLS. Overall, individuals with RLS have a poorer health than non-RLS but evidence for specific disease associations is mixed. Future epidemiological studies should focus on systematically adding frequency and severity in the definition of the syndrome in order to minimize the inclusion of cases mimicking RLS.
Abstract Objective To assess the prevalence, to determine the risk factors and to evaluate the impacts of excessive sleepiness in the general population. Method It is a cross-sectional telephone ...study using a representative sample consisting of 8937 non-institutionalized individuals aged 18 or over living in Texas, New York and California. They represented a total of 62.8 million inhabitants. The participation rate was 85.6% in California, 81.3% in New York and 83.2% in Texas. Interviews were managed by the Sleep-EVAL expert system. The questionnaire included questions on sleeping habits, life habits, health, DSM-IV mental disorders, DSM-IV and ICSD sleep disorders. Results As many as 19.5% of the sample reported having moderate excessive sleepiness and 11.0% reported severe excessive sleepiness. Moderate excessive sleepiness was comparable between men and women but severe excessive sleepiness was higher in women (8.6% vs. 13.0%). Factors associated with moderate excessive sleepiness were sleeping 6 h or less per main sleep episode (OR:2.0); OSAS (OR:2.0); insomnia disorder (OR:2.4); Restless Legs Syndrome (OR: 1.8) major depressive disorder (OR: 1.7); anxiety disorder (OR:1.5) and use of tricyclic antidepressant (OR: 2.1) presence of heart disease (OR: 1.5), cancer (1.8) and chronic pain (1.3). Factors associated with severe excessive sleepiness were similar with the addition of being a woman (OR:1.5), alcohol dependence (OR: 1.4), bipolar disorder (OR: 2.1), use of over-the-counter sleeping pills (OR: 2.5), narcotic analgesics (OR: 3.4), Antidepressants (other than SSRI or tricyclic) and presence of gastro-esophageal reflux disease (OR:1.6). Sleepy individuals were twice as likely than non-sleepy participants to have had accidents while they were at the wheel of a vehicle during the previous year. Conclusions Excessive sleepiness is highly prevalent in the American population. It was strongly associated with insufficient sleep and various sleep disorders as well as mental and organic diseases.
Summary
The outbreak of the novel coronavirus disease 2019 (COVID‐19) changed lifestyles worldwide and subsequently induced individuals’ sleep problems. Sleep problems have been demonstrated by ...scattered evidence among the current literature on COVID‐19; however, little is known regarding the synthesised prevalence of sleep problems (i.e. insomnia symptoms and poor sleep quality) for males and females separately. The present systematic review and meta‐analysis aimed to answer the important question regarding prevalence of sleep problems during the COVID‐19 outbreak period between genders. Using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guideline and Newcastle–Ottawa Scale checklist, relevant studies with satisfactory methodological quality searched for in five academic databases (Scopus, PubMed Central, ProQuest, Web of Science , and EMBASE) were included and analysed. The protocol of the project was registered in the International Prospective Register of Systematic Reviews (PROSPERO; identification code CRD42020181644). A total of 54 papers (N = 67,722) in the female subgroup and 45 papers (N = 45,718) in the male subgroup were pooled in the meta‐analysis. The corrected pooled estimated prevalence of sleep problems was 24% (95% confidence interval CI 19%–29%) for female participants and 27% (95% CI 24%–30%) for male participants. Although in both gender subgroups, patients with COVID‐19, health professionals and general population showed the highest prevalence of sleep problems, it did not reach statistical significance. Based on multivariable meta‐regression, both gender groups had higher prevalence of sleep problems during the lockdown period. Therefore, healthcare providers should pay attention to the sleep problems and take appropriate preventive action.
The emerging novel coronavirus disease 2019 (COVID-19) has become one of the leading cause of deaths worldwide in 2020. The present systematic review and meta-analysis estimated the magnitude of ...sleep problems during the COVID-19 pandemic and its relationship with psychological distress.
Five academic databases (Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and Embase) were searched. Observational studies including case-control studies and cross-sectional studies were included if relevant data relationships were reported (i.e., sleep assessed utilizing the Pittsburgh Sleep Quality Index or Insomnia Severity Index). All the studies were English, peer-reviewed papers published between December 2019 and February 2021. PROSPERO registration number: CRD42020181644.
168 cross-sectional, four case-control, and five longitudinal design papers comprising 345,270 participants from 39 countries were identified. The corrected pooled estimated prevalence of sleep problems were 31% among healthcare professionals, 18% among the general population, and 57% among COVID-19 patients (all p-values < 0.05). Sleep problems were associated with depression among healthcare professionals, the general population, and COVID-19 patients, with Fisher's Z scores of -0.28, -0.30, and -0.36, respectively. Sleep problems were positively (and moderately) associated with anxiety among healthcare professionals, the general population, and COVID-19 patients, with Fisher's z scores of 0.55, 0.48, and 0.49, respectively.
Sleep problems appear to have been common during the ongoing COVID-19 pandemic. Moreover, sleep problems were found to be associated with higher levels of psychological distress. With the use of effective programs treating sleep problems, psychological distress may be reduced. Vice versa, the use of effective programs treating psychological distress, sleep problems may be reduced.
The present study received no funding.
Abstract Background Social phobia may seriously impair the functioning of affected individuals. It is frequently associated with other mental disorders. Aims To estimate the co-occurrence of social ...phobia with major depressive disorder (MDD) and to analyze their interaction. Method Subjects were 18,980 individuals, aged 15 years or older, representative of the general population of the United Kingdom, Germany, Italy, Spain and Portugal, who were interviewed by telephone. DSM-IV diagnoses were made with the Sleep-EVAL system. Results The point prevalence for social phobia was 4.4% (95% confidence interval: 4.1–4.7%) of the sample. It was higher in women (odds ratio: 1.6) and decreased with age. MDDs were found in 19.5% of participants with social phobia. Co-occurrence of another anxiety disorder was high and increased when a MDD was present (65.2%). The odds of developing a major depressive episode 2 years after the appearance of the social phobia was of 5.74. Conclusions Social phobia is highly prevalent in the general population. It increases the risk of developing a MDD and has a high comorbidity with other mental disorders. Social phobia is often present in the course of depression, more obviously during remission period of MDD. Physicians must explore and treat more systematically this frequent pathology.
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