Session Schedule

Find a specific presentation in the session by navigating to the timestamp indicated below.

0:00:00
Introduction

0:02:30
Actigraphy-derived sleep quality and MRI markers of dementia in a diverse cohort of older adults
Clémence Cavaillès (France)

0:20:25
Associations of objectively measured sleep restriction-rebound patterns with all-cause mortality
Xiaoyu Li (China)

0:36;30
Reliability of brief accelerometer-based sleep measurements for capturing long-term sleep duration and variability
Heming Wang (United States)

0:52:02
Association between accelerometry derived sleep duration with CVD and mortality
Kaitlin Potts (United States)

1:21:41
Question and answer

Summary

The increasing use of wearable devices in research has revolutionized our ability to understand how sleep and activity behaviors influence health risks by: 1. Providing low-burden, continuous 24-hour objective recordings over multiple days; 2. Utilizing validated algorithms for reliable assessments of sleep, physical activity, and circadian rest-activity rhythms; and 3. Enabling the exploration of novel, clinically relevant questions through high-resolution data and open-source tools. Despite these technological advances, evidence linking accelerometry-derived sleep and circadian rhythm metrices to disease outcomes remains inconclusive. Research on variations across sociodemographic groups (e.g., sex, age, race/ethnicity, and geographic location), device types, and stability of measurements over extended periods is still limited. To address these gaps and foster international collaboration, we established the Accelerometry Working Group (WG) within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Our WG supports the rolling enrollment of over 20 prospective cohorts and biobanks, representing diverse geographic regions and ancestral backgrounds.
This symposium highlights the WG's infrastructure and presents five recent investigations using accelerometry-derived sleep and rest-activity rhythmicity metrics to study associations with various disease outcomes: 1. Dr. Clémence Cavailles (Inserm, French National Institute of Health & Medical Research) investigates associations between accelerometry-derived sleep variables and MRI markers of dementia in a multi-ethnic cohort, focusing on variations across race/ethnicity groups. 2. Dr. Katie Stone (California Pacific Medical Center Research Institute, US) examines accelerometry-derived sleep and rest-activity rhythms in a cohort of older men and women, exploring links with cognitive decline (global and domain-specific) and sex differences. 3. Dr. Xiaoyu Li (Tsinghua University, China) studies novel sleep restriction variables derived from UK Biobank accelerometry data and their prospective associations with all-cause mortality. 4. Dr. Tianyi Huang (National Institute on Aging, US) analyzes data from participants in the All of Us Research Program with Fitbit-recorded main sleep periods on ≥300 days within a calendar year. The study compares weekly, monthly, yearly, and all-available sleep measures to assess whether one-week accelerometer-based sleep assessments reliably capture long-term patterns. 5. Dr. Kaitlin Potts (Brigham and Women’s Hospital, US) conducts a large-scale meta-analysis of associations between accelerometry-derived sleep variables and cardiovascular disease incidence and mortality across multiple cohorts and biobanks, including subgroup analyses by age, sex, and race/ethnicity.
The overall learning objectives of this symposium are: 1. Discover new research and collaboration opportunities provided by the CHARGE Accelerometry WG. 2. Understand the methods and challenges in accelerometry data processing and quality control across various devices. 3. Understand the associations between multiple sleep rhythmicity measures with diverse health outcomes. 4. Learn variations in accelerometry variables across sociodemographic groups and wearing time.