Time-based data in occupational studies: The whys, the hows, and some remaining challenges in Compositional Data Analysis (CoDA) [Epub ahead of print]

Tidsskriftartikel - 2020

Resume

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.

Reference

Gupta N, Rasmussen CL, Holtermann A, Mathiassen SE. Time-based data in occupational studies: The whys, the hows, and some remaining challenges in Compositional Data Analysis (CoDA) [Epub ahead of print]. Annals of Work Exposures and Health 2020.
doi: 10.1093/annweh/wxaa056

Gå til Tidsskriftartikel

Relaterede projekter

Teknisk målte fysiske krav i arbejdet og langtidssygefravær