The development, inter-rater agreement and performance of a hierarchical procedure for setting the rest-interval in actigraphy data

Follesø, Hanna Størksen; Austad, Sigrun Borgen; Olsen, Alexander; Saksvik‐Lehouillier, Ingvild

doi:10.1016/j.sleep.2021.07.025

Cited by 5 publications

(3 citation statements)

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“…2012 ). In cases of obvious misclassifications of rest periods, or large discrepancies between actigraphy and sleep diary data, rest interval onsets and offsets were manually adjusted according to event markers, activity, light levels, and/or sleep diaries using a standardized procedure ( Follesø et al. 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Poorer sleep health is associated with altered brain activation during cognitive control processing in healthy adults

et al. 2023

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This study investigated how proactive and reactive cognitive control processing in the brain was associated with habitual sleep health. BOLD fMRI data were acquired from 81 healthy adults with normal sleep (41 females, age 20.96–39.58 years) during a test of cognitive control (Not-X-CPT). Sleep health was assessed in the week before MRI scanning, using both objective (actigraphy) and self-report measures. Multiple measures indicating poorer sleep health—including later/more variable sleep timing, later chronotype preference, more insomnia symptoms, and lower sleep efficiency—were associated with stronger and more widespread BOLD activations in fronto-parietal and subcortical brain regions during cognitive control processing (adjusted for age, sex, education, and fMRI task performance). Most associations were found for reactive cognitive control activation, indicating that poorer sleep health is linked to a “hyper-reactive” brain state. Analysis of time-on-task effects showed that, with longer time on task, poorer sleep health was predominantly associated with increased proactive cognitive control activation, indicating recruitment of additional neural resources over time. Finally, shorter objective sleep duration was associated with lower BOLD activation with time on task and poorer task performance. In conclusion, even in “normal sleepers,” relatively poorer sleep health is associated with altered cognitive control processing, possibly reflecting compensatory mechanisms and/or inefficient neural processing.

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Section: Methodsmentioning

confidence: 99%

Poorer sleep health is associated with altered brain activation during cognitive control processing in healthy adults

et al. 2023

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“…For qualitative assessment of the actigraphy data, participants filled out sleep diaries based on the Consensus sleep diary each morning (Carney et al 2012). In cases of obvious misclassifications of rest periods, or large discrepancies between actigraphy and sleep diary data, rest interval onsets and offsets were manually adjusted according to event markers, activity, light levels, and / or sleep diaries using a standardized procedure (Follesø et al 2021).…”

Section: Methodsmentioning

confidence: 99%

Poorer Sleep Health is Associated With Altered Brain Activation During Cognitive Control Processing in Healthy Adults

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Habli

Saksvik

et al. 2022

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This study investigated how proactive and reactive cognitive control processing in the brain was associated with habitual sleep health. BOLD fMRI data was acquired from 81 healthy adults with normal sleep (41 females, age 20.96 - 39.58 years) during a test of cognitive control ("Not-X CPT"). Sleep health was assessed in the week before MRI scanning, using both objective (actigraphy) and self-report measures. Multiple measures indicating poorer sleep health - including later/more variable sleep timing, later chronotype preference, more insomnia symptoms and lower sleep efficiency - were associated with stronger and more widespread BOLD activations (adjusted for age, sex, education, and fMRI task performance). Poorer sleep health was predominantly associated with stronger reactive cognitive control activation, indicating an overall "hyper-reactive" brain state. Analysis of time-on-task effects showed that, with longer time on task, poorer sleep health was predominantly associated with increased proactive cognitive control activation, indicating recruitment of more neural resources over time. Finally, shorter objective sleep duration was associated with poorer task performance and lower BOLD activation with time on task. In conclusion, even in normal sleepers, relatively poorer sleep health is associated with altered cognitive control processing, possibly reflecting compensatory mechanisms and / or inefficient neural processing.

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“… 15 Studies have shown that high inter-rater agreement for manually scored data (e.g., α = 0.975 for rest onset, and α = 0.998 for rest offset) can be achieved with clearly defined scoring criteria by trained researchers. 17 However, a limitation of manually scored actigraphy is the possibility of human error and the time requirement of analyzing large groups of participant data. 5 7 Recent advances in technology have seen the emergence of automatically-scored, commercially-available actigraph devices 5 14 and the accuracy and relability of these devices has improved considerably.…”

Section: Introductionmentioning

confidence: 99%

Automatic-Scoring Actigraph Compares Favourably to a Manually-Scored Actigraph for Sleep Measurement in Healthy Adults

et al. 2023

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Introduction Actigraphy has been used widely in sleep research due to its non-invasive, cost-effective ability to monitor sleep. Traditionally, manually-scored actigraphy has been deemed the most appropriate in the research setting; however, technological advances have seen the emergence of automatic-scoring wearable devices and software. Methods A total of 60-nights of sleep data from 20-healthy adult participants (10 male, 10 female, age: 26 ± 10 years) were collected while wearing two devices concomitantly. The objective was to compare an automatic-scoring device (Fatigue Science Readiband™ [AUTO]) and a manually-scored device (Micro Motionlogger® [MAN]) based on the Cole-Kripke method. Manual-scoring involved trained technicians scoring all 60-nights of sleep data. Sleep indices including total sleep time (TST), total time in bed (TIB), sleep onset latency (SOL), sleep efficiency (SE), wake after sleep onset (WASO), wake episodes per night (WE), sleep onset time (SOT) and wake time (WT) were assessed between the two devices using mean differences, 95% levels of agreement, Pearson-correlation coefficients (r), and typical error of measurement (TEM) analysis. Results There were no significant differences between devices for any of the measured sleep variables (p ≥0.05). All sleep indices resulted in very-strong correlations (all r ≥0.84) between devices. A mean difference between devices of <1 minutes for TST was associated with a TEM of 15.5 minute (95% CI =12.3 to 17.7 minutes). Conclusion Given there were no significant differences between devices in the current study, automatic-scoring actigraphy devices may provide a more practical and cost-effective alternative to manually-scored actigraphy in healthy populations.

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The development, inter-rater agreement and performance of a hierarchical procedure for setting the rest-interval in actigraphy data

Cited by 5 publications

References 29 publications

Poorer sleep health is associated with altered brain activation during cognitive control processing in healthy adults

Poorer sleep health is associated with altered brain activation during cognitive control processing in healthy adults

Poorer Sleep Health is Associated With Altered Brain Activation During Cognitive Control Processing in Healthy Adults

Automatic-Scoring Actigraph Compares Favourably to a Manually-Scored Actigraph for Sleep Measurement in Healthy Adults

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