Handling missing data in rest-activity time series measured by actimetry

Abstract

If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.

Prospective Follow-Up of Adolescents With and at Risk for Depression: Protocol and Methods of the Identifying Depression Early in Adolescence Risk Stratified Cohort Longitudinal Assessments

“…Findings from neuroimaging studies have demonstrated associations of reward- and threat-related neural function and frontolimbic network topology with depression and with high-risk status for developing depression. 51 , 52 , 53 Chronobiological findings include strategies to deal with missing data in actimetry, 71 and the relationship among different risk groups and sleep variables, motor activity rhythms, and exposure to artificial light at night. 72 Furthermore, a qualitative study was also published to explore the adolescents’ initial reactions after receiving a clinical diagnosis of MDD.…”

Individual-specific change points in circadian rest-activity rhythm and sleep in individuals tapering their antidepressant medication: an actigraphy study

“…This was done since missing a substantial part of the day would interfere with calculating RAR variables and produce biased estimates. As there is no established cut-off for excluding the missing actigraphy data when analyzing daily rhythms, we employed the cut-off used in earlier studies with a similar research focus 23 , 24 . Missing data for up to 4 h was imputed using the R-package MICE 25 (for details, see Supplementary Material 2 ).…”

Circadian Rhythms Characteristics of Nurses Providing Direct Patient Care: An Observational Study

“…Although there is no current consensus on the best handling procedure regarding missing data in actigraphy, the exclusion of a whole day when missing time exceeds a certain length on that day or the substitution of missing data by the addition of new data such as mean and median of weekly time points are recommended [ 42 ]. In this study, the data of 11 participants were omitted because of missing time exceeding over 4 hours a day [ 43 ]. R software (version 4.1.1, https://cran.r-project.org/bin/windows/base/old/4.1.1/ ) with meta-package (version 5.1-1) was used for data analysis.…”