使用活动记录仪数据的功能线性建模来测量呼吸暂停和肥胖对昼夜活动模式的影响。

Q2 Biochemistry, Genetics and Molecular Biology
Jia Wang, Hong Xian, Amy Licis, Elena Deych, Jimin Ding, Jennifer McLeland, Cristina Toedebusch, Tao Li, Stephen Duntley, William Shannon
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引用次数: 7

摘要

背景:活动记录仪提供了一种客观测量人类受试者活动的方法。本文描述了一种新颖的统计方法,可用于以更全面的方式分析这些数据。方法:描述了一种统计方法,用于测试活动模式的差异,该活动模式是通过功能数据分析跨亚组测量的。举例说明,该方法用于统计评估呼吸暂停低通气指数(apnea)和身体质量指数(BMI)对生理活动模式的影响,使用活动记录仪测量了395名18至80岁的参与者,他们被引用到华盛顿大学睡眠医学中心进行一般睡眠医学护理。给出了该方法的数学描述及其在实际数据中的应用结果。结果:在至少7天的时间里,每分钟用艾科仪器(飞利浦呼吸器公司)记录一次活动模式。功能线性模型用于检测昼夜活动模式与呼吸暂停和BMI之间的关联。结果表明,高呼吸暂停组的参与者在白天的活动量较低,并且我们研究人群的BMI对昼夜节律模式没有显着影响。结论:功能数据分析(Functional Data analysis, FDA)是一种新颖的统计框架,可以更有效地分析来自活动数据的信息,与使用汇总方法(例如,24小时内的平均活动,总睡眠时间)的分析相比。FDA有可能将活动记录仪数据的重点从一般睡眠评估重新定位到对昼夜活动节律的严格分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Measuring the impact of apnea and obesity on circadian activity patterns using functional linear modeling of actigraphy data.

Measuring the impact of apnea and obesity on circadian activity patterns using functional linear modeling of actigraphy data.

Measuring the impact of apnea and obesity on circadian activity patterns using functional linear modeling of actigraphy data.

Measuring the impact of apnea and obesity on circadian activity patterns using functional linear modeling of actigraphy data.

Background: Actigraphy provides a way to objectively measure activity in human subjects. This paper describes a novel family of statistical methods that can be used to analyze this data in a more comprehensive way.

Methods: A statistical method for testing differences in activity patterns measured by actigraphy across subgroups using functional data analysis is described. For illustration this method is used to statistically assess the impact of apnea-hypopnea index (apnea) and body mass index (BMI) on circadian activity patterns measured using actigraphy in 395 participants from 18 to 80 years old, referred to the Washington University Sleep Medicine Center for general sleep medicine care. Mathematical descriptions of the methods and results from their application to real data are presented.

Results: Activity patterns were recorded by an Actical device (Philips Respironics Inc.) every minute for at least seven days. Functional linear modeling was used to detect the association between circadian activity patterns and apnea and BMI. Results indicate that participants in high apnea group have statistically lower activity during the day, and that BMI in our study population does not significantly impact circadian patterns.

Conclusions: Compared with analysis using summary measures (e.g., average activity over 24 hours, total sleep time), Functional Data Analysis (FDA) is a novel statistical framework that more efficiently analyzes information from actigraphy data. FDA has the potential to reposition the focus of actigraphy data from general sleep assessment to rigorous analyses of circadian activity rhythms.

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来源期刊
Journal of Circadian Rhythms
Journal of Circadian Rhythms Biochemistry, Genetics and Molecular Biology-Physiology
CiteScore
7.10
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: Journal of Circadian Rhythms is an Open Access, peer-reviewed online journal that publishes research articles dealing with circadian and nycthemeral (daily) rhythms in living organisms, including processes associated with photoperiodism and daily torpor. Journal of Circadian Rhythms aims to include both basic and applied research at any level of biological organization (molecular, cellular, organic, organismal, and populational). Studies of daily rhythms in environmental factors that directly affect circadian rhythms are also pertinent to the journal"s mission.
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