The development, inter-rater agreement and performance of a hierarchical procedure for setting the rest-interval in actigraphy data
Peer reviewed, Journal article
Published version

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https://hdl.handle.net/11250/2826872Utgivelsesdato
2021Metadata
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- Institutt for psykologi [3243]
- Publikasjoner fra CRIStin - NTNU [39738]
- Publikasjoner fra Cristin - St. Olavs hospital [1727]
- St. Olavs hospital [2674]
Sammendrag
The aim of this study was to develop and empirically test a hierarchical procedure for defining rest intervals in actigraphy data. Background This is a two-part study. The aim of study 1 was to identify common practices for setting rest intervals in actigraphy research and investigate whether standardized guidelines for setting the rest interval exist, as a base to develop a new procedure for defining rest intervals in actigraphy. The aim of study 2 was to empirically test this procedure (The Rest Interval Setting, RISE Procedure). The RISE procedure was applied to a dataset of 537 nights from the sleep study SLEEPIC. Participants Participants (N = 55) were aged 19–33 (M = 22.7, SD = 3.0). Methods Study 1: Structured overview of the methods used to correct actigraphy data. Study 2: Three scorers independently applied the RISE procedure to the dataset. Results Study 1 demonstrated that methods and reporting practices are inconsistent and that there is a need for a standardized procedure for setting the rest interval. The results in study 2 revealed that using the new procedure for setting rest intervals provided high agreement between scorers for both rest onsets (= 0.975) and offsets (= 0.998). Applying the procedure to the dataset resulted in a shortening of the rest interval by 36 min and 19 s on average. There were significant changes (p < 0.001) in all sleep estimate outcomes after applying the RISE procedure. Conclusion Methods for processing and reporting actigraphy data are highly inconsistent across studies. Here we present empirical support for a new standardized procedure for setting the rest interval, which is likely to improve transparency and reproducibility in actigraphy research.