ArticlePLoS biology2018
Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Lipid monitoring using non-invasive measurement technologies and machine learning: a systematic review.Archives of gynecology and obstetrics · 2026Pooled it
- Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities.Journal of medical Internet research · 2026Article
- Exploring the multidimensional value of midodrine-albumin synergistic therapy for refractory ascites.Hepatology international · 2025Article
- Longitudinal wearable sensor data enhance precision of Long COVID detection.PLOS digital health · 2025Article
- Wearable device-based health equivalence of different physical activity intensities against mortality, cardiometabolic disease, and cancer.Nature communications · 2025Article
- Assessment of heart rate measurements by commercial wearable fitness trackers for early identification of metabolic syndrome risk.Scientific reports · 2024Article
- Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023Review
- An interactive fitness-for-use data completeness tool to assess activity tracker data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Connected Health Innovation Research Program (C.H.I.R.P.): A bridge for digital health and wellness in cardiology and oncology.American heart journal plus : cardiology research and practice · 2022Article
- High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study.Journal of medical Internet research · 2022Article
- Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.NPJ digital medicine · 2022Article
- The Impact of Wearable Technologies in Health Research: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.Scientific reports · 2022Article
- Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study.JMIR mHealth and uHealth · 2021Article
- Article
- Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data.NPJ digital medicine · 2021Article
- Impact of Age and Sex on Subclinical Coronary Atherosclerosis in a Healthy Asian Population.JACC. Asia · 2021Article
- Low frequency variants associated with leukocyte telomere length in the Singapore Chinese population.Communications biology · 2021Article
Corrections and comments
- Commented on by
Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.