Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA).
Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA).
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DOI：
10.1093/annweh/wxaa056
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发表时间：
2020-10-08
影响因子：
2.6
通讯作者：
Mathiassen SE
中科院分区：
文献类型：
--
作者：
Gupta N;Rasmussen CL;Holtermann A;Mathiassen SE
在职业研究中，关于不同暴露、行为和工作任务中时间使用的数据很常见。这些数据通常以小时、分钟或工作时间的百分比表示。因此，它们是受约束的或“组合的”，因为它们加起来是有限的总和（例如，8小时的工作或100%的工作时间）。由于其特性，成分数据需要使用专门调整的方法进行处理和分析。成分数据分析（CoDA）已经成为一个特别建立的框架，以处理各种科学领域，如营养流行病学，地质学和化学等数据，但最近才得到关注，在公共和职业健康科学。在本文中，我们向读者介绍了CoDA，解释了为什么CoDA应该在处理组合时间使用数据时使用，展示了如何执行CoDA，包括一个工作的例子，并指出了一些剩余的挑战CoDA。本文最后强调，CoDA在职业研究仍处于起步阶段，并强调需要进一步的发展和经验，在使用CoDA的时间为基础的职业暴露。我们希望这篇论文能鼓励研究人员在工作暴露和健康的研究中采用和应用CoDA。
Data on the use of time in different exposures, behaviors, and work tasks are common in occupational research. Such data are most often expressed in hours, minutes, or percentage of work time. Thus, they are constrained or ‘compositional’, in that they add up to a finite sum (e.g. 8 h of work or 100% work time). Due to their properties, compositional data need to be processed and analyzed using specifically adapted methods. Compositional data analysis (CoDA) has become a particularly established framework to handle such data in various scientific fields such as nutritional epidemiology, geology, and chemistry, but has only recently gained attention in public and occupational health sciences. In this paper, we introduce the reader to CoDA by explaining why CoDA should be used when dealing with compositional time-use data, showing how to perform CoDA, including a worked example, and pointing at some remaining challenges in CoDA. The paper concludes by emphasizing that CoDA in occupational research is still in its infancy, and stresses the need for further development and experience in the use of CoDA for time-based occupational exposures. We hope that the paper will encourage researchers to adopt and apply CoDA in studies of work exposures and health.