Wohlgemuth W K, Edinger J D, Fins A I, Sullivan R J
Duke Sleep Disorders Center, Duke University, Durham, NC, USA.
Psychophysiology. 1999 Mar;36(2):233-44.
Temporal stability is an important fundamental quality when measuring sleep parameters, yet it has been infrequently assessed. Generalizability theory was used to estimate the short-term temporal stability of five variables commonly used to characterize insomnia: sleep onset latency, total sleep time, wake after sleep onset, time in bed, and sleep efficiency. Estimates were calculated for 32 elderly primary insomniacs and 32 elderly normal sleepers, both in the lab and at home, using both sleep logs and polysomnography (PSG). A week of recording using either PSG or sleep logs was typically sufficient to achieve adequate stability (defined as G coefficient of at least 0.80) with some notable exceptions: (a) when using log-derived measures with insomniacs, a 3-week average was necessary for wake after sleep onset and (b) more than a 2-week average was necessary for sleep onset latency. Because of the substantial commitment involved in the physiological recording of sleep, alternative forms of aggregation are considered with the intent of improving temporal stability.
在测量睡眠参数时,时间稳定性是一项重要的基本质量指标,但对此的评估却很少见。通用izability理论被用于估计常用于表征失眠的五个变量的短期时间稳定性:入睡潜伏期、总睡眠时间、睡眠中觉醒时间、卧床时间和睡眠效率。使用睡眠日志和多导睡眠图(PSG),对32名老年原发性失眠患者和32名老年正常睡眠者在实验室和家中的上述变量进行了估计。使用PSG或睡眠日志进行一周的记录通常足以实现足够的稳定性(定义为G系数至少为0.80),但有一些明显的例外情况:(a)对于失眠患者使用基于日志的测量方法时,睡眠中觉醒时间需要3周的平均值;(b)入睡潜伏期则需要超过2周的平均值。由于睡眠生理记录涉及大量工作,因此考虑采用其他汇总形式以提高时间稳定性。