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骨质疏松性骨折研究中的活动记录仪评分可靠性

Actigraphy scoring reliability in the study of osteoporotic fractures.

作者信息

Blackwell Terri, Ancoli-Israel Sonia, Gehrman Philip R, Schneider Jennifer L, Pedula Kathryn L, Stone Katie L

机构信息

San Francisco Coordinating Center and California Pacific Medical Center Research Institute, San Francisco, CA 94107, USA.

出版信息

Sleep. 2005 Dec;28(12):1599-605. doi: 10.1093/sleep/28.12.1599.

Abstract

STUDY OBJECTIVES

The editing and scoring of actigraphy data are important for calculating variables that describe sleep. Scoring is dependent on marking time points for when a participant got in and out of bed, plus time when the actigraph was removed. This placement of time points is subject to error. We examined interscorer reliability to determine if files scored by 2 different people were comparable.

DESIGN

Observational study.

SETTING

Community-based.

PARTICIPANTS

A subset of 36 women taken from the latest biannual visit of the Study of Osteoporotic Fractures. All women had actigraphy data scored by 1 scorer for the Study of Osteoporotic Fractures staff, plus a blinded rescoring by an expert scorer at a different site.

INTERVENTIONS

N/A.

MEASUREMENTS AND RESULTS

The outcomes of interest from actigraphy are duration of in-bed interval, total sleep time, sleep latency, sleep efficiency, wake after sleep onset, total nap time, and total daytime minutes of watch removal. Clearly documented actigraphy scoring procedures were used. There were no significant differences between the expert scorer and the study scorer in sleep outcomes (all P values >.16 from a paired t test). There was a small but statistically significant difference between scorers for watch removal times (mean absolute difference 3.4 minutes +/- 5.4, P=.02). The intraclass correlation coefficients showed a high level of agreement (range, 0.84-0.99).

CONCLUSIONS

Even in a large study with 2 scorers, it is possible to use actigraphy as a measure of sleep without introducing interscorer measurement error. Using well-documented scoring and data-gathering procedures are essential for data quality control.

摘要

研究目的

活动记录仪数据的编辑和评分对于计算描述睡眠的变量很重要。评分取决于标记参与者上床和起床的时间点,以及活动记录仪被移除的时间。这些时间点的确定容易出现误差。我们检查了评分者间的可靠性,以确定由两名不同人员评分的文件是否具有可比性。

设计

观察性研究。

地点

基于社区。

参与者

从骨质疏松性骨折研究的最新半年一次访视中选取的36名女性子集。所有女性的活动记录仪数据均由骨质疏松性骨折研究的一名工作人员评分,另外在不同地点由一名专家评分者进行盲法重新评分。

干预措施

无。

测量与结果

活动记录仪关注的结果包括卧床时间、总睡眠时间、睡眠潜伏期、睡眠效率、睡眠中觉醒、总小睡时间以及活动记录仪移除的总日间分钟数。使用了记录清晰的活动记录仪评分程序。专家评分者和研究评分者在睡眠结果方面无显著差异(配对t检验的所有P值>.16)。评分者在活动记录仪移除时间方面存在微小但具有统计学意义的差异(平均绝对差异3.4分钟±5.4,P = 0.02)。组内相关系数显示出高度一致性(范围为0.84 - 0.99)。

结论

即使在有两名评分者的大型研究中,也可以使用活动记录仪作为睡眠测量方法而不引入评分者间测量误差。使用记录完善的评分和数据收集程序对于数据质量控制至关重要。

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