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An official American Thoracic Society Clinical Practice Guideline: sleep apnea, sleepiness, and driving risk in noncommercial drivers. An update of a 1994 Statement.美国胸科学会临床实践指南：非商业驾驶员的睡眠呼吸暂停、嗜睡与驾驶风险。对 1994 年声明的更新。
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Excessive daytime sleepiness in sleep disorders.睡眠障碍患者日间过度嗜睡。
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日间过度嗜睡的多个维度。

Multiple dimensions of excessive daytime sleepiness.

作者信息

Smith Sasha, Rossdale Jennifer, Serry Yaseen, Sekaran Anisha, Drakatos Panagis, Steier Joerg

机构信息

Faculty of Life Sciences and Medicine, King's College London, London, UK.

Lane Fox Unit/Sleep Disorders Centre, Guy's & St Thomas' NHS Foundation Trust, London, UK.

出版信息

J Thorac Dis. 2018 Jan;10(Suppl 1):S170-S176. doi: 10.21037/jtd.2017.11.32.

DOI:10.21037/jtd.2017.11.32
PMID:29445541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5803055/
Abstract

BACKGROUND

In this study we investigated subjective measures of sleepiness and related our findings to dimensions of affect, fatigue, emotion, mood and quality of life based on a hypothetical multidimensional model of sleepiness.

METHODS

Patients referred to a sleep clinic were assessed regarding their excessive daytime sleepiness (EDS), sleep complaints, routine and symptoms. Age, gender and body mass index (BMI), the Epworth Sleepiness Scale (ESS), the Stanford Sleepiness Scale (SSS), the Samn-Perelli fatigue Scale (SPS), the Global Vigor and Affect Scale (GVS and GAS, respectively), the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, respectively), and the Positive and Negative Affect Schedule (PAS and NAS, respectively) scores were recorded.

RESULTS

Fifty patients [25 male, 45.2 (18.7) years] completed the questionnaires. The ESS scores were positively correlated with SSS, SPS, HADS-A, HADS-D and NAS scores and negatively with GVS and GAS scores (P<0.05). The SPS (P<0.001) and HADS-A scores (P=0.002) were independently associated with the ESS scores (R=0.532, adjusted R =0.4794, P<0.001).

CONCLUSIONS

A model of sleepiness that assesses dimensions of fatigue and anxiety could explain the symptom of subjective sleepiness better than the isolated use of the ESS.

摘要

背景

在本研究中，我们调查了嗜睡的主观测量指标，并根据一个假设的嗜睡多维模型，将我们的研究结果与情感、疲劳、情绪、心境和生活质量等维度相关联。

方法

对转诊至睡眠诊所的患者进行了关于日间过度嗜睡（EDS）、睡眠主诉、日常情况及症状的评估。记录了患者的年龄、性别和体重指数（BMI）、爱泼沃斯嗜睡量表（ESS）、斯坦福嗜睡量表（SSS）、萨姆恩-佩雷利疲劳量表（SPS）、总体活力和情感量表（分别为GVS和GAS）、医院焦虑抑郁量表（分别为HADS-A和HADS-D）以及正负性情绪量表（分别为PAS和NAS）的得分。

结果

50名患者[25名男性，年龄45.2（18.7）岁]完成了问卷调查。ESS得分与SSS、SPS、HADS-A、HADS-D和NAS得分呈正相关，与GVS和GAS得分呈负相关（P<0.05）。SPS（P<0.001）和HADS-A得分（P=0.002）与ESS得分独立相关（R=0.532，调整后R=0.4794，P<0.001）。

结论

一个评估疲劳和焦虑维度的嗜睡模型，可能比单独使用ESS能更好地解释主观嗜睡症状。