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Trosman I, Ivanenko A. Classification and Epidemiology of Sleep Disorders in Children and Adolescents. Psychiatr Clin North Am 2024; 47:47-64. [PMID: 38302213 DOI: 10.1016/j.psc.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Sleep disturbances are common in children and adolescents but still remain unrecognized and undertreated. Several classification systems of sleep disorders are available, which include recent attempts to develop more specific nosologic categories that reflect developmental aspects of sleep. The prevalence of sleep disorders has been studied across various samples of healthy, typically developing children and those with special medical, psychiatric, and neurodevelopmental needs. Sleep disorders are highly prevalent in children and adolescents with psychiatric disorders, making it important for mental health professionals to be aware of sleep problems and to address them in the context of psychiatric comorbidities.
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Affiliation(s)
- Irina Trosman
- Division of Pulmonary and Sleep Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue Box 43, Chicago, IL 60611-2991, USA
| | - Anna Ivanenko
- Division of Child and Adolescent Psychiatry, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
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Trosman I, Ivanenko A. Classification and Epidemiology of Sleep Disorders in Children and Adolescents. Child Adolesc Psychiatr Clin N Am 2021; 30:47-64. [PMID: 33223068 DOI: 10.1016/j.chc.2020.08.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Sleep disturbances are common in children and adolescents but still remain unrecognized and undertreated. Several classification systems of sleep disorders are available, which include recent attempts to develop more specific nosologic categories that reflect developmental aspects of sleep. The prevalence of sleep disorders has been studied across various samples of healthy, typically developing children and those with special medical, psychiatric, and neurodevelopmental needs. Sleep disorders are highly prevalent in children and adolescents with psychiatric disorders, making it important for mental health professionals to be aware of sleep problems and to address them in the context of psychiatric comorbidities.
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Affiliation(s)
- Irina Trosman
- Division of Pulmonary and Sleep Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, 225 East Chicago Avenue Box 43, Chicago, IL 60611-2991, USA
| | - Anna Ivanenko
- Division of Child and Adolescent Psychiatry, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
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Gall M, Kohn B, Wiesmeyr C, van Sluijs RM, Wilhelm E, Rondei Q, Jäger L, Achermann P, Landolt HP, Jenni OG, Riener R, Garn H, Hill CM. A Novel Approach to Assess Sleep-Related Rhythmic Movement Disorder in Children Using Automatic 3D Analysis. Front Psychiatry 2019; 10:709. [PMID: 31681030 PMCID: PMC6806394 DOI: 10.3389/fpsyt.2019.00709] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 09/04/2019] [Indexed: 11/25/2022] Open
Abstract
Background: Unlike other episodic sleep disorders in childhood, there are no agreed severity indices for rhythmic movement disorder. While movements can be characterized in detail by polysomnography, in our experience most children inhibit rhythmic movement during polysomnography. Actigraphy and home video allow assessment in the child's own environment, but both have limitations. Standard actigraphy analysis algorithms fail to differentiate rhythmic movements from other movements. Manual annotation of 2D video is time consuming. We aimed to develop a sensitive, reliable method to detect and quantify rhythmic movements using marker free and automatic 3D video analysis. Method: Patients with rhythmic movement disorder (n = 6, 4 male) between age 5 and 14 years (M: 9.0 years, SD: 4.2 years) spent three nights in the sleep laboratory as part of a feasibility study (https://clinicaltrials.gov/ct2/show/NCT03528096). 2D and 3D video data recorded during the adaptation and baseline nights were analyzed. One ceiling-mounted camera captured 3D depth images, while another recorded 2D video. We developed algorithms to analyze the characteristics of rhythmic movements and built a classifier to distinguish between rhythmic and non-rhythmic movements based on 3D video data alone. Data from 3D automated analysis were compared to manual 2D video annotations to assess algorithm performance. Novel indices were developed, specifically the rhythmic movement index, frequency index, and duration index, to better characterize severity of rhythmic movement disorder in children. Result: Automatic 3D video analysis demonstrated high levels of agreement with the manual approach indicated by a Cohen's kappa >0.9 and F1-score >0.9. We also demonstrated how rhythmic movement assessment can be improved using newly introduced indices illustrated with plots for ease of visualization. Conclusion: 3D video technology is widely available and can be readily integrated into sleep laboratory settings. Our automatic 3D video analysis algorithm yields reliable quantitative information about rhythmic movements, reducing the burden of manual scoring. Furthermore, we propose novel rhythmic movement disorder severity indices that offer a means to standardize measurement of this disorder in both clinical and research practice. The significance of the results is limited due to the nature of a feasibility study and its small number of samples. A larger follow up study is needed to confirm presented results.
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Affiliation(s)
- Markus Gall
- Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Bernhard Kohn
- Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Christoph Wiesmeyr
- Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Rachel M van Sluijs
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland.,Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland
| | | | - Quincy Rondei
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland
| | - Lukas Jäger
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland
| | - Peter Achermann
- Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland.,Institute for Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.,The KEY Institute for Brain Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland
| | - Hans-Peter Landolt
- Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland.,Institute for Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Oskar G Jenni
- Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland.,Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Robert Riener
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland.,Sleep & Health Zurich, University Center of Competence, University of Zurich, Zurich, Switzerland.,Faculty of Medicine, University of Zurich, Zurich, Switzerland
| | - Heinrich Garn
- Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Catherine M Hill
- Division of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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Abstract
Sleep disturbances are common in children and adolescents but still remain underrecognized and undertreated. Several classification systems of sleep disorders are available, including some newer attempts to develop more specific nosologic categories that reflect developmental aspects of sleep. The prevalence of sleep disorders has been studied across various samples of healthy, normal children and in children with special medical and neurodevelopmental needs. Sleep disorders are more frequently seen in children and adolescents with psychiatric disorders, making it very important for mental health professionals to be aware of sleep problems and to address them in the context of psychiatric comorbidities.
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Affiliation(s)
- Anna Ivanenko
- Division of Child and Adolescent Psychiatry, Children's Memorial Hospital, 2300 Children's Plaza, Chicago, IL 60614, USA
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