Yun Chang-Ho, Kim Hyun, Lee Seung Ku, Suh Sooyeon, Lee Seung Hoon, Park Seong-Ho, Thomas Robert J, Au Rhoda, Shin Chol
Department of Neurology and Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea; Department of Psychology, Boston University, Boston, MA, USA.
Sleep Med. 2015 Jan;16(1):143-51. doi: 10.1016/j.sleep.2014.07.028. Epub 2014 Nov 13.
We aimed to determine the association between psychomotor vigilance task (PVT) performance and sleep-related factors including sleep duration, daytime sleepiness, poor sleep quality, insomnia, and habitual snoring in a population-based sample.
This was a cross-sectional analysis from the ongoing prospective cohort study, the Korean Genome and Epidemiology Study. We measured PVT performance and documented demographics, sleep-related factors, life style, and medical conditions in community dwelling adults (N = 2499; mean age 57.1 ± 7.3; male 1259). Associations between PVT parameters and sleep-related factors were tested, adjusting for age, gender, smoking, alcohol use, education, body mass index, hypertension, diabetes, depression, and the interval between mid-sleep time and PVT test.
High Epworth Sleepiness Scale (ESS, ≥8) was associated with slower mean reciprocal response speed (mean RRT) (3.69 ± 0.02 vs. 3.77 ± 0.01, p < 0.001), higher probability for increased lapses (≥4) (OR 1.48, CI 1.12-1.88, p = 0.001), and more negative RRT slope (-0.036 ± 0.002 vs. -0.030 ± 0.001, p = 0.02). Older age, female gender, low education level, depressive mood, and the interval between mid-sleep and PVT test were also associated with poor performance. Sleep duration, habitual snoring, insomnia, or poor sleep quality (the Pittsburgh Sleep Quality Index score > 5) was not related to PVT parameters.
At the population level, our results revealed important modifiers of PVT performance, which included subjective reports of daytime sleepiness.
我们旨在确定在一个基于人群的样本中，精神运动警觉任务（PVT）表现与包括睡眠时间、日间嗜睡、睡眠质量差、失眠和习惯性打鼾在内的睡眠相关因素之间的关联。
这是一项来自正在进行的前瞻性队列研究——韩国基因组与流行病学研究的横断面分析。我们测量了PVT表现，并记录了社区居住成年人（N = 2499；平均年龄57.1±7.3岁；男性1259名）的人口统计学信息、睡眠相关因素、生活方式和医疗状况。对PVT参数与睡眠相关因素之间的关联进行了测试，并对年龄、性别、吸烟、饮酒、教育程度、体重指数、高血压、糖尿病、抑郁以及睡眠中点时间与PVT测试之间的间隔进行了校正。
高爱泼沃斯嗜睡量表（ESS，≥8）与较慢的平均倒数反应速度（平均RRT）相关（3.69±0.02对3.77±0.01，p < 0.001），失误增加（≥4次）的概率更高（OR 1.48，CI 1.12 - 1.88，p = 0.001），以及更负的RRT斜率（-0.036±0.002对-0.030±0.001，p = 0.02）。年龄较大、女性、低教育水平、抑郁情绪以及睡眠中点与PVT测试之间的间隔也与表现不佳相关。睡眠时间、习惯性打鼾、失眠或睡眠质量差（匹兹堡睡眠质量指数得分>5）与PVT参数无关。
在人群水平上，我们的结果揭示了PVT表现的重要影响因素，其中包括日间嗜睡的主观报告。
