Duke University Medical Center; Durham, NC, USA.
J Clin Sleep Med. 2010 Feb 15;6(1):21-9.
This study tested the ecological validity of actigraphy (ACT) for estimating objective sleep parameters in participants' homes. We also examined how well ACT and polysomnography (PSG) measures discriminated (1) individuals with and without insomnia; and (2) nights participants rated worse, the same as, or better than average.
Thirty-one primary insomnia sufferers and 31 normal sleepers completed up to 3 consecutive monitoring nights with wrist ACT and PSG in their homes. They also rated how each night compared to their "average night's" sleep. ACT and PSG measures of sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), and sleep efficiency (SE) were then compared using Bland and Altman correlational procedures and repeated measures ANOVAs. Differences between groups and among nights assigned distinctive ratings were tested via mixed-model ANOVAs.
Medium to large between- and within-subject correlations were observed for all measures in the insomnia sufferers sample and for most measures in the normal sleepers sample. Two (ACT vs. PSG) x 3 (nights) repeated measures ANOVAs showed that, in both samples, SOL derived from ACT was consistently lower than SOL derived from PSG across the 3 nights of recording. By contrast, ACT and PSG produced estimates of WASO, TST, and SE that did not differ from each other across nights. Subsequent 2 (insomnia vs. normal sleeper) x 3 (worse, same, better than average) mixed-model ANOVAs showed only ACT SOL discriminated those with and without insomnia and nights assigned distinctive ratings. Among the PSG-derived measures, only SE showed such a pattern.
ACT provides informative data for insomnia sufferers and normal sleepers in their usual sleep environments. The ACT estimate of SOL seems sensitive to night-to-night differences in subjective sleep ratings. A possible strength of ACT lies in its assessment of nocturnal movement, a parameter different from PSG-based sleep measures.
本研究旨在检验活动记录仪(ACT)在参与者家中估计客观睡眠参数的生态有效性。我们还研究了 ACT 和多导睡眠图(PSG)测量值在以下两个方面的区分能力:(1)有和无失眠的个体;(2)参与者评定为较差、相同和较好于平均水平的夜间。
31 名原发性失眠症患者和 31 名正常睡眠者在家中连续完成了多达 3 个监测夜晚,期间佩戴腕部 ACT 和 PSG。他们还对每个夜晚与他们的“平均夜晚睡眠”进行了评分。然后使用 Bland 和 Altman 相关程序和重复测量方差分析比较了 ACT 和 PSG 测量的睡眠潜伏期(SOL)、睡眠后觉醒(WASO)、总睡眠时间(TST)和睡眠效率(SE)。通过混合模型方差分析检验了组间和不同评分夜间的差异。
在失眠症患者样本中,所有测量值和在正常睡眠者样本中,大多数测量值均观察到中等至较大的组内和组间相关性。两个(ACT 与 PSG)x 3(夜间)重复测量方差分析表明,在两个样本中,ACT 记录的 SOL 始终低于 PSG 记录的 SOL。相比之下,ACT 和 PSG 产生的 WASO、TST 和 SE 估计值在整个 3 个记录夜间均无差异。随后的 2(失眠症与正常睡眠者)x 3(较差、相同、优于平均)混合模型方差分析表明,只有 ACT SOL 区分了有和无失眠症以及不同评分的夜间。在 PSG 衍生的测量值中,只有 SE 表现出这种模式。
ACT 为其家中的失眠症患者和正常睡眠者提供了有信息价值的数据。ACT 对 SOL 的估计似乎对主观睡眠评分的夜间差异敏感。ACT 的一个可能优势在于其对夜间运动的评估,这是一个与基于 PSG 的睡眠测量不同的参数。