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2020 Broeke, MSc P. ten (Radboud University); Olthof, MSc M.J. (Radboud University); Beckers, dr. D.G.J. (Radboud University); Hopkins, N.D.; Graves, L.E.F.; Carter, S.E.; Cochrane, M.; Gavin, D.; Morris, A.S.; Lichtwarck-Aschoff, dr. A. (Radboud University); Geurts, prof. dr. S.A.E. (Radboud University); Thijssen, dr. D.H.J. (Radboud University); Bijleveld, dr. E. (Radboud University) 10.17026/dans-zfe-gk3b
This data folder contains all processed data and analyses scripts used for analyses in the research described in the PNAS paper "The Temporal Dynamics of Sitting Behaviour at Work" by ten Broeke and colleagues (2020). In the paper, sitting behaviour was conceptualised as a continuous chain of sit-to-stand and stand-to-sit transitions, and multilevel time-to-event analysis was used to analyse the timing of these transitions. The data comprise ~30,000 posture transitions during work time from 156 UK-based employees from various work sites, objectively-measured by an activPAL monitor that was continuously worn for approximately one week.
For the paper, a split-samples cross-validation procedure was used. Prior to looking at the data, we randomly split the data into two samples of equal size: A training sample (n = 79; 7,316 sit-to-stand and 7,263 stand-to-sit transitions) and a testing sample (n = 77; 7,216 sit-to-stand and 7,158 stand-to-sit transitions). We used the training sample for data exploration and fine-tuning of analyses and analytical decisions. After this, we preregistered our analysis plan for the testing sample and performed these analyses on the testing sample. Unless otherwise specified, in the paper we report results from the preregistered analyses on the testing sample.
A more detailed description of the procedure and all measures is given in the Methodology file. The readme file describes the content and function of all files in the data folder, and all terminology and abbreviations used in the data sets and analyses scripts. The R markdown files and HTML output files contain all R code that was used for data processing, analysis, and visualization, and the power simulation.