Insomnia Future | Open Access Journals

Neurological Disorders

ISSN: 2329-6895

Open Access

Insomnia Future

Standardized tools like validated questionnaires (e.g., Pittsburgh Sleep Quality Index and sleep logs) help assess the presence and severity of sleep problems, while other methods (e.g., SLEEP L system) address insomnia diagnoses. Other instruments (e.g., Structured Clinical Interview for DSM-IV [SCID], Short-Form 36 [SF-36], Epworth Sleepiness Scale [ESS]) provide insights into insomnia consequences and co-morbidities. Sleep laboratory studies using polysomnography (PSG) have also provided useful findings (e.g., concerning apnea and excessive daytime sleepiness) in experimental and population-based patient samples containing subgroups enriched for certain variables under investigation.  Critically, longitudinal studies are needed to further our understanding of the pathophysiology and morbidity of insomnia, defining roles for risk factors, hyperarousal and co-morbidities and therefore the effects of treatment in long-term disease progression.  Insomnia, which may be a symptom instead of a disease, are often classified into three main etiologic groups: insomnias associated with other mental disorders (for example, depression and anxiety), insomnias related to known organic factors (for example, apnea and “nonrestorative” sleep), and first insomnia (for example, learned psychophysiological insomnias and insomnia complaints without objective findings). The treatment for insomnia often involves a mixture of pharmacotherapy, behavioural and short-term psychotherapy, and sleep hygiene guidelines. Sleep disorders centres can provide specialized knowledge and techniques for patients with severe chronic insomnia.

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Relevant Topics in Neuroscience & Psychology

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Citations: 1139

Neurological Disorders received 1139 citations as per Google Scholar report

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