View clinical trials related to Actigraphy.
Filter by:Sleep disorder in autism children is common and it affects the physical, behavior and mental health. There is lack of comprehensive management program/module to treat the sleep disorders in children with ASD. Limited studies evaluating the utility of actigraphy to diagnose sleep disorders in ASD and its validation with PSG are present. Rationale of this study is to develop the comprehensive module and validate it for children with autism spectrum disorders, so as to improve the behavioral outcomes as well. This study also helps to utilize actigraphy as a modality to diagnose sleep disorders in children with autism spectrum disorder as performing PSG in these children is cumbersome and difficult as ASD children tend to have sensory abnormalities.
Little is known about the natural course and prognosis factors of inpatients and outpatients with Disruptive Mood Dysregulation Disorder (DMDD). The investigators conducted a cross-sectional study to determine the evolution of a sample of DMDD patients referred to the hospital for suicidal behaviors between 2013 and 2018 in terms of diagnostic stability, psychiatric comorbidity, and psychosocial factors. A group of patients with various episodic mood disturbances was used as a clinical case control group. In addition to change in DMDD symptoms across time, the investigators examined the onset and persistence of psychiatric comorbidity using the KIDDIE-SADS PL and suicidal behaviors using the Colombia Suicidality Severity Rating Scale. The investigators also examined the persistence of depressive symptoms using the Beck Depression Inventory (BDI-II), the persistence of emotional lability (Affective Lability Scale-18), borderline traits (Abbreviated Diagnostic of Inventory Borderline). Socio-demographic, clinical features and actigraphy-measured sleep characteristics determined between 2013 and 2018 were used to predict the evolution of the DMDD patients and the clinical control group.
Trauma-related nightmares in Veterans are associated with poor clinical outcomes, greater substance use, and increased risk of suicide. In spite of an urgent need to reduce the burden of trauma-related nightmares, the underlying physiological changes associated with them are poorly understood, and there are no clear evidence-based recommendations for their treatment. Limitations of current assessment procedures represent a barrier to improved care. In-laboratory sleep studies rarely capture nightmares, limiting the knowledge about them and their response to treatment. This study addresses these limitations by using extended, in-home sleep monitoring to capture sleep data associated with nightmare reports in Veterans, and assessing how these features are altered throughout a cognitive-behavioral nightmare treatment. Results from this study will increase understanding of trauma-related nightmares, and advance strategies for personalizing symptom management for Veterans.