|
Activity Number:
|
25
- Medical Devices and Diagnostics Speed Session
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, August 8, 2021 : 1:30 PM to 3:20 PM
|
|
Sponsor:
|
Section on Medical Devices and Diagnostics
|
|
Abstract #318633
|
|
|
Title:
|
A Large-Scale Cohort Study of Wearable-Derived Resting Heart Rates, Lifestyle Factors, and Disease Risk
|
|
Author(s):
|
Catherine H. Weldon* and Teresa H. Filshtein Sonmez and Christophe H. Toukam Tchakouté and Stella Aslibekyan
|
|
Companies:
|
23andMe and 23andMe and 23andMe and 23andMe
|
|
Keywords:
|
wearables;
heart rate;
cohort ;
exercise;
cardiovascular
|
|
Abstract:
|
Resting heart rate (RHR) is an indicator of cardiovascular health and an independent predictor of both cardiovascular and all-cause mortality. The increasing use of wearable devices (e.g. smart watches) to passively measure RHR presents an opportunity to examine it at scale under real-world conditions. The continuous and passive nature of smart watch data collection enables long-term studies with low participant burden. Due to the recent introduction of smart watches, factors contributing to variability in wearable-derived RHR data have not been widely studied. At 23andMe, Inc., we have collected RHR data measured via Apple Watch from 82,733+ consented participants over 10 months (median= 105 observations/ person). We investigate between- and within-individual variability in RHR. We evaluate concordance between self-reported and watch-ascertained RHR and describe RHR patterns by key demographic and lifestyle variables. We also test for associations between RHR and chronic disease outcomes and assess whether regular exercise mediates the observed associations. Finally, we explore technical artifacts observed in our dataset and propose a framework for handling them in analyses.
|
Authors who are presenting talks have a * after their name.
