California Pacific Medical Center Research Institute, San Francisco, CA, USA.
J Clin Sleep Med. 2011 Aug 15;7(4):357-67. doi: 10.5664/JCSM.1190.
Total sleep time (TST), sleep efficiency (SE), sleep latency (SOL) and wake after sleep onset (WASO) assessed by actigraphy gathered in 3 different modes were compared to polysomnography (PSG) measurements to determine which mode corresponded highest to PSG. Associations of measurement error for TST (PSG-actigraphy) with demographics, medical history, exam data, and sleep characteristics were examined.
Participants underwent in-home 12-channel PSG. Actigraphy data were collected in 3 modes: proportional integration mode (PIM), time above threshold (TAT) and zero crossings mode (ZCM). The analysis cohort was a subgroup of 889 men (mean age 76.4 years) from the MrOS Sleep Study with concurrently measured PSG and actigraphy. Intraclass correlation coefficients (ICCs) were used to compare the association between PSG and actigraphy.
The PIM mode of actigraphy corresponded moderately to PSG for all measures (ICCs 0.32 to 0.57), TAT a little lower (ICCs 0.17 to 0.47), and ZCM lower still (ICCs 0.16 to 0.33). The PIM mode corresponded best to PSG (ICCs TST 0.57; SE 0.46; SOL 0.23; WASO 0.54), though the estimations from PSG and PIM mode differed significantly (p < 0.01). The PIM mode overestimated TST by 13.2 min on average, but underestimated TST for those in certain subgroups: those with excessive daytime sleepiness, less sleep fragmentation, or more sleep disordered breathing (p < 0.05).
Sleep parameters from the PIM and TAT modes of actigraphy corresponded reasonably well to PSG in this population, with the PIM mode correlating highest. Systematic measurement error was observed within subgroups with different sleep characteristics.
通过比较 3 种不同模式下的活动记录仪评估的总睡眠时间（TST）、睡眠效率（SE）、睡眠潜伏期（SOL）和睡眠起始后觉醒（WASO）与多导睡眠图（PSG）测量值，以确定哪种模式与 PSG 最吻合。还研究了 TST（PSG-活动记录仪）测量误差与人口统计学、病史、检查数据和睡眠特征的关联。
参与者接受了家庭 12 通道 PSG。活动记录仪数据以 3 种模式收集：比例积分模式（PIM）、超过阈值时间（TAT）和零交叉模式（ZCM）。分析队列是 MrOS 睡眠研究中同时进行 PSG 和活动记录仪测量的 889 名男性（平均年龄 76.4 岁）的亚组。采用组内相关系数（ICC）比较 PSG 和活动记录仪之间的相关性。
活动记录仪的 PIM 模式与所有指标的 PSG 相关性中等（ICC 0.32 至 0.57），TAT 略低（ICC 0.17 至 0.47），ZCM 更低（ICC 0.16 至 0.33）。PIM 模式与 PSG 最吻合（ICC TST 0.57；SE 0.46；SOL 0.23；WASO 0.54），尽管 PSG 和 PIM 模式的估计值差异显著（p<0.01）。PIM 模式平均高估 TST 13.2 分钟，但对某些亚组的 TST 低估：那些有日间嗜睡、睡眠碎片化较少或睡眠呼吸障碍较多的人（p<0.05）。
在该人群中，活动记录仪的 PIM 和 TAT 模式的睡眠参数与 PSG 相关性较好，其中 PIM 模式相关性最高。在具有不同睡眠特征的亚组中观察到系统测量误差。
