Work

Jointly modeling of sleep variables that are objectively measured by wrist actigraphy

Year: 2022
Type: article
Abstract: Recently developed actigraphy devices have made it possible for continuous and objective monitoring of sleep over multiple nights. Sleep variables captured by wrist actigraphy devices include sleep onset, sleep end, total sleep time, wake time after sleep onset, number of awakenings, etc. Currently available statistical methods to analyze such actigraphy data have limitations. First, averages over multiple nights are used to summarize sleep activities, ignoring variability over multiple nights from the same subject. Second, sleep variables are often analyzed independently. However, sleep variables tend to be correlated with each other. For example, how long a subject sleeps at night can be correlated with how long and how frequent he/she wakes up during that night. It is important to understand these inter-relationships. We therefore propose a joint mixed effect model on total sleep time, number of awakenings, and wake time. We develop an estimating procedure based upon a sequence of generalized linear mixed effects models, which can be implemented using existing software. The use of these models not only avoids computational intensity and instability that may occur by directly applying a numerical algorithm on a complicated joint likelihood function, but also provides additional insights on sleep activities. We demonstrated in simulation studies that the proposed estimating procedure performed well in estimating both fixed and random effects' parameters. We applied the proposed model to data from the Women's Interagency HIV Sleep Study to examine the association of employment status and age with overall sleep quality assessed by several actigraphy measured sleep variables.
Language: English
Open Access status: bronze
Awards: G1034546755, G1296759572, G1913134163, G2008237588, G311558797, G3470339864, G3869857964, G4044828089, G4226573917, Clinical and Translational Science Institute, G5900455136, G6396423216, University of Miami Developmental HIV/AIDS Mental Health Research Center (D-ARC), G6745172908, The Contribution of Sleep and Circadian Disruption to Kynurenine Pathway Activation and Cardiometabolic Risk in Women with HIV, G6990385686, G775892330, G7807729167, Johns Hopkins Institute for Clinical and Translational Research, G8041674520, Women's Interagency HIV Study (WIHS-V), G9000080293, G9000082816, University of Pittsburgh MACS/WIHS CCS, MACS/WIHS -CCS, SF Bay Area MACS/WIHS Combined Cohort Study, UNC MACS/WIHS Combined Cohort Study Clinical Research Site, Surviving the HIV Epidemic (S/HE) in metropolitan Washington DC - Advancing knowledge through cohort studies, Center for AIDS Research at Emory University, Northwestern CORE Clinical Research Site: Trans-omics for HIV/AIDS Research, Los Angeles CRS for the MACS/WIHS Combined Cohort Study, Data Analysis and Coordination Center for the MACS-WIHS Combined Cohort Study, MACS/WIHS Combined Cohort Study: Cook County Clinical Research Site (CC_CRS), The University of North Carolina Center for AIDS Research, MACS/WIHS Combined Cohort Study: Brooklyn Clinical Research Site (Bklyn CRS), Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC Center, Atlanta MACS/WIHS Combined Cohort Study Clinical Research Site, UAB-MISS MACS/WIHS Combined Cohort Study, Miami Center for AIDS Research, UCLA Clinical and Translational Science Institute, Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS), UAB Center for AIDS Research (CFAR)
OpenAlex ID: W4223517371
FWCI: 0.369
Cites: 28
Cited by: 3
Related to: 10