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Evolution of insomnia: current status and future direction.

机译:失眠的演变:现状和未来方向。

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Traditional epidemiologic studies of insomnia provide valid but fairly rudimentary information regarding the presence, frequency, duration and evolution of sleep problems. Standardized tools such as 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., relating to sleep apnea and excessive daytime sleepiness) in experimental and population-based patient samples containing subgroups enriched for certain variables under investigation. These methods have significantly increased our knowledge about insomnia. 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 the effects of treatment in long-term disease progression. This review summarizes the current available data on the evolution of insomnia and proposes a model that warrants further research attention and discussion.
机译:传统的失眠流行病学研究提供了有关睡眠问题的存在,频率,持续时间和演变的有效但相当基本的信息。标准化工具(例如经过验证的问卷调查(例如,匹兹堡睡眠质量指数和睡眠记录))有助于评估睡眠问题的存在和严重程度,而其他方法(例如,SLEEP L系统)则可以解决失眠的诊断。其他手段(例如,针对DSM-IV的结构化临床访谈[SCID],简短表格36 [SF-36],爱泼华嗜睡量表[ESS])提供了失眠后果和合并症的见解。使用多导睡眠图(PSG)进行的睡眠实验室研究还提供了有益的发现(例如,与睡眠呼吸暂停和过度的白天嗜睡有关),这些实验和基于人群的患者样本中包含的亚组富含某些正在调查的变量。这些方法大大增加了我们对失眠的认识。至关重要的是,需要进行纵向研究来加深我们对失眠的病理生理学和发病率的了解,确定风险因素,高声疾患和合并症的作用以及治疗在长期疾病进展中的作用。这篇综述总结了失眠演变的当前可用数据,并提出了一个值得进一步研究关注和讨论的模型。

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