ISCOLE对加速计在大型研究中的进步的独特贡献。

International journal of obesity supplements Pub Date : 2015-12-01 Epub Date: 2015-12-08 DOI:10.1038/ijosup.2015.20
C Tudor-Locke, T V Barreira, J M Schuna, P T Katzmarzyk
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引用次数: 11

摘要

在流行病学研究中,加速度计已成为客观监测儿童身体活动和久坐时间的主要方法。成功的数据收集、管理和处理背后的努力是巨大的,其复杂性与日益多样化的方法选择有关,这些方法选择虽然相对于具体的研究问题是合理的,但却共同破坏了比较研究结果的能力。尽管尊重对最佳实践的广泛呼吁,但公开分享支持研究实践和研究设计的潜在改进的工具和资源也很重要,从而允许其他人复制、进一步改进和/或以其他方式在此基础上进行构建。国际儿童肥胖、生活方式和环境研究(ISCOLE)是一项大型跨国研究,包括基于加速计的身体活动、久坐时间和睡眠测量。这篇综述总结了ISCOLE在儿童行为的大型研究中对加速测量技术进步的独特贡献,特别是:(1)ISCOLE加速测量操作手册的开放出版;(2) 24小时腰穿加速度计方案;(3)识别和提取夜间总睡眠时间(开放获取可编辑的SAS语法);(4)开发了第一个解释性基础设施,用于识别和定义从24小时腰戴加速度计中进化出来的睡眠相关变量列表;(5)提供一个详细的模型,用于报告加速度计参数(与加速度计有关的行政数据);(6)编目了迄今为止最详细和最可靠的由加速度计衍生的身体活动和久坐时间变量列表。与这些创新相关的新工具和资源公开共享,以支持在大型流行病学研究中加速测量法的方法协调和整体进步。
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Unique contributions of ISCOLE to the advancement of accelerometry in large studies.

Accelerometry has become a mainstay approach for objectively monitoring children's physical activity and sedentary time in epidemiological studies. The magnitude of effort underlying successful data collection, management and treatment is prodigious and its complexity has been associated with increasingly diverse methodological choices that, while defensible relative to specific research questions, conspire to undermine the ability to compare results between studies. Although respecting widespread calls for best practices, it is also important to openly share tools and resources supporting potential improvements to research practice and study design, thus allowing others to replicate, further improve, and/or otherwise build on this foundation. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) is a large multinational study that included accelerometer-based measures of physical activity, sedentary time and sleep. This review summarizes the unique contributions of ISCOLE to the advancement of accelerometry in large studies of children's behavior, and in particular: (1) open-access publication of the ISCOLE accelerometry Manual of Operations; (2) 24-h waist-worn accelerometry protocol; (3) identification and extraction of nocturnal total sleep episode time (with open access to editable SAS syntax); (4) development of the first interpretive infrastructure for identifying and defining an evolved list of sleep-related variables from 24-h waist-worn accelerometry; (5) provision of a detailed model for reporting accelerometer paradata (administrative data related to accelerometry); and (6) cataloging the most detailed and defensible list of accelerometry-derived physical activity and sedentary time variables to date. The novel tools and resources associated with these innovations are shared openly in an effort to support methodological harmonization and overall advancement of accelerometry in large epidemiological studies.

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