The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder

Objective: Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice.<p></p> Design: The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated.<p></p> Participants: 30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information.<p></p> Setting: Data acquired on dedicated websites.<p></p> Results: The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90).<p></p> Conclusions: The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.<p></p&gt

The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder

Objective: Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice.<p></p> Design: The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated.<p></p> Participants: 30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information.<p></p> Setting: Data acquired on dedicated websites.<p></p> Results: The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90).<p></p> Conclusions: The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.<p></p&gt

Evaluation of sleep disorder and its effective factors in patients with an ischemic heart disease in the CCU ward of Kashan Shahid-Beheshti Hospital during 2017-2018

Background: Complaints of sleep disorders are common in ischemic heart patients, even after taking sleeping drugs. Evaluation of the causes of sleep disorders and modifying these factors that lead to the progression of patients' treatment is very important. Therefore, this study aimed at investigating sleep disorders and their effective factors in cardiac ischemic patients admitted to the cardiac care unit (CCU) with the use of sleeping drugs. Materials and Methods: This descriptive analytical study was conducted on 250 patients in the CCU ward of Kashan Shahid Beheshti Hospital, during 2017-2018, using the random sampling method. Data were collected by a specific questionnaire with 0.90 validity and 0.76 reliability. Results: In total, 80.4 of the patients reported a degree of sleep disorders. The most common problems were observed subsequently in the onset and duration of sleep, sleep disorders due to environmental factors, daily dysfunction, sleep disorder due to heart disease, and respiratory problems during sleep. Among the environmental factors, there was a significant relationship between sleep disorders and lack of a comfortable bed condition (OR=20.42), continuous illumination of the lights (OR=19.05), feeling of hot or cold (OR=15.44), feeling of the unpleasant odor (OR=13.60), and high levels of noise in the ward (OR=12.22). Conclusion: According to the results of this study, paying more attention to these patients, comprehensive review of them, and the establishment of a care plan for the improvement of sleep conditions are necessary in hospitalized patients

A Spanish version of the athens insomnia scale

Objectives To develop and validate a Spanish version of the Athens Insomnia Scale (AIS). Methods The AIS is designed to assess sleep difficulty and comprises eight items: the first five refer to the sleep disturbance and the last three to the daytime consequences. Either the full eight-item scale (AIS-8) or the brief form (AIS-5) can be administered. The adaptation used a backtranslation design. The validation process was based on a sample of 323 participants (undergraduates, community sample and psychiatric outpatients), which completed the AIS and other questionnaires: anxiety (BAI), depression (BDI) and psychological well-being (GHQ-12) scales. Results The internal consistency coefficients for both versions were above 0.80. The study of dimensionality revealed a single factor with high loadings and a percentage of explained variance above 50% in both versions. Test-retest reliability was above 0.70 (AIS-5) and over 0.80 (AIS-8) at a one-month interval. The correlation between the AIS and the previously mentioned scales was for both the AIS-5 and the AIS-8 above 0.40 and 0.50, respectively

Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring

Introduction Polysomnography (PSG) is the primary tool for sleep monitoring and the diagnosis of sleep disorders. Recent advances in signal analysis make it possible to reveal more information from this rich data source. Furthermore, many innovative sleep monitoring techniques are being developed that are less obtrusive, easier to use over long time periods and in the home situation. Here, we describe the methods of the Sleep and Obstructive Sleep Apnoea Monitoring with Non-Invasive Applications (SOMNIA) project, yielding a database combining clinical PSG with advanced unobtrusive sleep monitoring modalities in a large cohort of patients with various sleep disorders. The SOMNIA database will facilitate the validation and assessment of the diagnostic value of the new techniques, as well as the development of additional indices and biomarkers derived from new and/or traditional sleep monitoring methods. Methods and analysis We aim to include at least 2100 subjects (both adults and children) with a variety of sleep disorders who undergo a PSG as part of standard clinical care in a dedicated sleep centre. Full-video PSG will be performed according to the standards of the American Academy of Sleep Medicine. Each recording will be supplemented with one or more new monitoring systems, including wrist-worn photoplethysmography and actigraphy, pressure sensing mattresses, multimicrophone recording of respiratory sounds including snoring, suprasternal pressure monitoring and multielectrode electromyography of the diaphragm

Modeling Autistic Features in Animals

A variety of features of autism can be simulated in rodents, including the core behavioral hallmarks of stereotyped and repetitive behaviors, and deficits in social interaction and communication. Other behaviors frequently found in autism spectrum disorders (ASDs) such as neophobia, enhanced anxiety, abnormal pain sensitivity and eye blink conditioning, disturbed sleep patterns, seizures, and deficits in sensorimotor gating are also present in some of the animal models. Neuropathology and some characteristic neurochemical changes that are frequently seen in autism, and alterations in the immune status in the brain and periphery are also found in some of the models. Several known environmental risk factors for autism have been successfully established in rodents, including maternal infection and maternal valproate administration. Also under investigation are a number of mouse models based on genetic variants associated with autism or on syndromic disorders with autistic features. This review briefly summarizes recent developments in this field, highlighting models with face and/or construct validity, and noting the potential for investigation of pathogenesis, and early progress toward clinical testing of potential therapeutics. Wherever possible, reference is made to reviews rather than to primary articles

Sleep Problems in Children With Autism Spectrum Disorder

The purpose of the current study was to examine the effect of restricted and repetitive behaviors (RRBs) on the relationship between sleep problems and externalizing behaviors in young children with autism spectrum disorder (ASD). Sixty-six participants with ASD and a mean age of 4 years and their parents participated in the study. Parents reported on their child’s sleep, ASD symptoms, and externalizing behavior during a one-time lab visit. Bivariate correlations and a mediation analysis were conducted to assess the associations between sleep problems, externalizing behavior, and RRB. Results suggested that children with higher scores in measures of RRB had higher scores in sleep problems and externalizing behavior. Results also suggested that RRB partially mediated the relationship between sleep problems and externalizing behavior. Implications for the early identification of sleep and behavior problems, as well as ASD symptoms, are discussed

Somatic symptoms of generalized anxiety disorder from the DSM-IV: Associations with pathological worry and depression symptoms in a nonclinical sample

The present study investigates specificity of the six somatic symptoms that are associated with generalized anxiety disorder (GAD), according to the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders. A nonclinical sample of 183 students provided severity ratings for (a) restlessness, (b) easily fatigued, (c) difficulty concentrating, (d) irritability, (e) muscle tension, and (f) sleep disturbance. In addition, they responded to questionnaires assessing pathological worry and depression symptoms. Partial correlations and multiple regression analyses indicated that only muscle tension showed a unique relation to pathological worry. In contrast, difficulty concentrating was exclusively related to depression symptoms. Present findings corroborate psychophysiological findings that elevated muscle tension is a specific characteristic of pathological worriers. Moreover, they suggest that the problem of unclear boundaries between GAD and major depression may be reduced if future revisions of the somatic symptom list for GAD emphasize muscle tension while de-emphasizing difficulty concentrating