Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.

Published online

Journal Article

The use of consumer-grade wearables for purposes beyond fitness tracking has not been comprehensively explored. We generated and analyzed multidimensional data from 233 normal volunteers, integrating wearable data, lifestyle questionnaires, cardiac imaging, sphingolipid profiling, and multiple clinical-grade cardiovascular and metabolic disease markers. We show that subjects can be stratified into distinct clusters based on daily activity patterns and that these clusters are marked by distinct demographic and behavioral patterns. While resting heart rates (RHRs) performed better than step counts in being associated with cardiovascular and metabolic disease markers, step counts identified relationships between physical activity and cardiac remodeling, suggesting that wearable data may play a role in reducing overdiagnosis of cardiac hypertrophy or dilatation in active individuals. Wearable-derived activity levels can be used to identify known and novel activity-modulated sphingolipids that are in turn associated with insulin sensitivity. Our findings demonstrate the potential for wearables in biomedical research and personalized health.

Full Text

Duke Authors

Cited Authors

  • Lim, WK; Davila, S; Teo, JX; Yang, C; Pua, CJ; Blöcker, C; Lim, JQ; Ching, J; Yap, JJL; Tan, SY; Sahlén, A; Chin, CW-L; Teh, BT; Rozen, SG; Cook, SA; Yeo, KK; Tan, P

Published Date

  • February 2018

Published In

Volume / Issue

  • 16 / 2

Start / End Page

  • e2004285 -

PubMed ID

  • 29485983

Pubmed Central ID

  • 29485983

Electronic International Standard Serial Number (EISSN)

  • 1545-7885

Digital Object Identifier (DOI)

  • 10.1371/journal.pbio.2004285

Language

  • eng

Conference Location

  • United States