Joint and Individual Variations of Sleep, Physical Activity, and Circadian Rhythmicity Features in CoLaus Study

• Activity Number: 444 - Recent Advances in Statistical Methodology for Big Data
• Type: Contributed
• Date/Time: Thursday, August 12, 2021 : 4:00 PM to 5:50 PM
• Sponsor: IMS
• Author(s): Sun J Kang* and Andrew Leroux and Wei Guo and Martin Preisig and Kathleen Merikangas and Vadim Zipunnikov
• Companies: National Institutes of Health and University of Colorado Anschutz Medical Campus and National Institutes of Health and University Hospital of Lausanne and National Institute of Mental Health and Johns Hopkins Bloomberg School of Public Health
• Keywords: multivariate data; multi-domain; sleep, physical activity, circadian rhythmicity; depressive disorder; dimension reduction

Abstract

There is now growing evidence from dysregulation of sleep(SL), physical activity(PA) and circadian rhythms(CR) in people with major depression(MDD). We examine the interaction and inter-correlations among the three domains extracted from actigraphy to quantify the joint and individual variation. The sample included 2317 participants from a cohort study (Lausanne, Switzerland). Features of SL, PA and CR were assessed from Actigraphy collected with a wrist-worn triaxial accelerometer. JIVE (joint and individual variation explained) method was applied to derive the joint and individual variance of the features. Findings indicate that the greater amount of joint variation was explained by PA and lower amounts by SL and CR. Regression analyses show that participants with MDD differed significantly from controls on the first and second joint JIVE scores. The results demonstrate how the JIVE method enabled us to examine the joint and individual components of the three domains. JIVE regression allowed us to separate domain-specific sources of variability while addressing possible multicollinearity. We show that MDD was more strongly associated with joint rather than individual JIVE scores