ArticleScientific reports2023
Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES 2011-2014.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Sedentary behaviors and physical activity of the working population measured by accelerometry: a systematic review and meta-analysis.BMC public health · 2024Pooled it
- DELTA: Strengthening human biological resilience with an N=1 digital health and dynamic biomarker protocol.PloS one · 2026Trial
- Longitudinal digital phenotyping of activity rhythms and biological aging using commercial wearables.Nature communications · 2026Article
- Associations of sedentary behavior and physical activity with sleep disorders in patients with osteoarthritis: The mediating role of inflammatory biomarkers.Osteoarthritis and cartilage open · 2026Article
- From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices.npj aging · 2026Article
- Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis.JMIR mHealth and uHealth · 2026Article
- A SAS macro for multilevel Cosinor analysis.Computer methods and programs in biomedicine · 2026Article
- Article
- Skin-Integrated Soft Wearable XR Interfaces for Seamless and Realistic User Experience.Chemical reviews · 2025Review
- Circadian rhythm profiles derived from accelerometer measures of the sleep-wake cycle in two cohort studies.Nature communications · 2025Article
- Personalized fitness recommendations using machine learning for optimized national health strategy.Scientific reports · 2025Article
- Temporal Associations of Physical Activity With Subsequent Knee Pain in Individuals With Knee Osteoarthritis: An Ecological Momentary Assessment Study.European journal of pain (London, England) · 2025Article
- Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- Aging and activity patterns: actigraphy evidence from NHANES studies.Frontiers in systems biology · 2025Article
- Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias.NPJ digital medicine · 2024Article
- Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study.European heart journal. Quality of care & clinical outcomes · 2024Observational
- The Bitemporal Lens Model-toward a holistic approach to chronic disease prevention with digital biomarkers.JAMIA open · 2024Review
- Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan.NPJ digital medicine · 2024Article
- Deep learning of movement behavior profiles and their association with markers of cardiometabolic health.BMC medical informatics and decision making · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Repeated disruptions in circadian rhythms are associated with implications for health outcomes and longevity. The utilization of wearable devices in quantifying circadian rhythm to elucidate its connection to longevity, through continuously collected data remains largely unstudied. In this work, we investigate a data-driven segmentation of the 24-h accelerometer activity profiles from wearables as a novel digital biomarker for longevity in 7,297 U.S. adults from the 2011-2014 National Health and Nutrition Examination Survey. Using hierarchical clustering, we identified five clusters and described them as follows: "High activity", "Low activity", "Mild circadian rhythm (CR) disruption", "Severe CR disruption", and "Very low activity". Young adults with extreme CR disturbance are seemingly healthy with few comorbid conditions, but in fact associated with higher white blood cell, neutrophils, and lymphocyte counts (0.05-0.07 log-unit, all p < 0.05) and accelerated biological aging (1.42 years, p < 0.001). Older adults with CR disruption are significantly associated with increased systemic inflammation indexes (0.09-0.12 log-unit, all p < 0.05), biological aging advance (1.28 years, p = 0.021), and all-cause mortality risk (HR = 1.58, p = 0.042). Our findings highlight the importance of circadian alignment on longevity across all ages and suggest that data from wearable accelerometers can help in identifying at-risk populations and personalize treatments for healthier aging.
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