Understanding and Interpreting Error in Physical Activity Data: Insights from the FLASHE Study.
Understanding and Interpreting Error in Physical Activity Data: Insights from the FLASHE Study.
复制标题
理解和解释身体活动数据中的错误：FLASHE 研究的见解。
DOI：
10.1016/j.amepre.2017.03.001
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发表时间：
2017
影响因子：
5.5
通讯作者：
Perna,FrankM
中科院分区：
文献类型：
--
作者：
Welk,GregoryJ;Saint-Maurice,PedroF;Kim,Youngwon;Ellingson,LauraD;Hibbing,Paul;Wolff-Hughes,DanaL;Perna,FrankM
家庭生活，活动，阳光，健康和饮食（FLASHE）研究涉及收集一系列生活方式行为的数据，但为了获得关于体力活动（PA）和久坐行为（SB）的最佳可用数据，做出了相当大的努力，因为两者对健康都有独特和独立的贡献。FLASHE通过结合基于监测和报告的方法（例如，自我报告措施）使用公认的“最佳实践”，以实现结果的三角测量。2，3基于校准品的方法提供了一种在大人群研究中客观比较PA和SB总量的合理方法，因为精度提高了统计功效。4，5与健康指标的关联性更强，通常与基于监测的数据6 -9有关，但基于报告的措施仍然提供了有关环境和个人行为感知的有价值的信息。3已经进行了大量的研究，以完善和改善评估PA和SB在青年与这两种方法，但较少关注如何解释数据和如何联系的结果。这篇简短的评论概述了FLASHE研究中使用的PA评估方法，以及解释各种PA指标综合数据的建议。处理和解释来自基于监视器的设备的数据所面临的挑战已经得到了很好的记录。10例如，众所周知，估计值因监测器类型、用于筛选数据的方法、采样频率以及算法或预测方程的选择而存在很大差异。与许多大型调查（例如，国家健康和营养检查调查和英国生物银行研究）以及加速度测量研究的总体趋势一致，FLASHE使用腕戴式设备来提高对监测方案的依从性，并收集了
The Family Life, Activity, Sun, Health, and Eating (FLASHE) Study involved the collection of data on an array of lifestyle behaviors, 1 but considerable efforts were made to obtain the best available data on physical activity (PA) and sedentary behavior (SB) because both have unique and independent contributions to health. FLASHE used accepted “best practices” by incorporating both monitor-and report-based methods (eg, self-report measures) to enable triangulation of outcomes. 2, 3 Monitor-based methods provide a sound way to objectively compare overall amount of PA and SB in large population studies as the improved precision increases statistical power. 4, 5 Stronger associations with health indicators have generally been observed with monitor-based data6–9 but report-based measures still provide valuable information about context and individual perceptions of behavior. 3 Considerable research has been conducted to refine and improve assessments of PA and SB in youth with both methods, but less attention has been placed on how to interpret the data and how to link the outcomes. This brief commentary provides an overview of the PA assessment approaches used in the FLASHE Study as well as recommendations for interpreting the integrated data from the various PA indicators. The challenges with processing and interpreting data from monitor-based devices have been well documented. 10 For example, it is well established that estimates vary widely depending on the type of monitor, the approaches used to screen the data, the sampling frequency, and the choice of algorithm or prediction equation. Consistent with many large surveys (eg, National Health and Nutrition Examination Survey and United Kingdom Biobank study), and overall trends in accelerometry research, FLASHE used wrist-worn devices to improve compliance with the monitoring protocol and collected