ArticleFrontiers in digital health2021
Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers.
Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Feasibility of longitudinal sleep monitoring among Kenyan healthcare workers using wearable technology.Research square · 2026Article
- Perioperative physiological complexity trajectories and their association with molecular residual disease and long-term outcomes after curative colorectal cancer surgery: a prospective cohort study.Surgical endoscopy · 2026Article
- Morning Larks and Night Owls: Considering Chronotype in Evaluation of Patients with Pulmonary Hypertension.Annals of the American Thoracic Society · 2026Article
- Tracking Daily Variations in Rest-Wake to Guide Personalized Timing of Temozolomide for High-Grade Glioma Patients.Journal of biological rhythms · 2025Article
- Wearables in Chronomedicine and Interpretation of Circadian Health.Diagnostics (Basel, Switzerland) · 2025Review
- The real-world association between digital markers of circadian disruption and mental health risks.NPJ digital medicine · 2024Article
- Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data.Journal of the Royal Society, Interface · 2023Article
- Circadian regulation of pulmonary disease: the importance of timing.Clinical science (London, England : 1979) · 2023Review
- Circadian lifestyle determinants of immune checkpoint inhibitor efficacy.Frontiers in oncology · 2023Review
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile measures of human circadian rhythms (CR) are needed in the age of chronotherapy. Two wearable measures of CR have recently been validated: one that uses heart rate to extract circadian rhythms that originate in the sinoatrial node of the heart, and another that uses activity to predict the laboratory gold standard and central circadian pacemaker marker, dim light melatonin onset (DLMO). We first find that the heart rate markers of normal real-world individuals align with laboratory DLMO measurements when we account for heart rate phase error. Next, we expand upon previous work that has examined sleep patterns or chronotypes during the COVID-19 lockdown by studying the effects of social distancing on circadian rhythms. In particular, using data collected from the Social Rhythms app, a mobile application where individuals upload their wearable data and receive reports on their circadian rhythms, we compared the two circadian phase estimates before and after social distancing. Interestingly, we found that the lockdown had different effects on the two ambulatory measurements. Before the lockdown, the two measures aligned, as predicted by laboratory data. After the lockdown, when circadian timekeeping signals were blunted, these measures diverged in 70% of subjects (with circadian rhythms in heart rate, or CRHR, becoming delayed). Thus, while either approach can measure circadian rhythms, both are needed to understand internal desynchrony. We also argue that interventions may be needed in future lockdowns to better align separate circadian rhythms in the body.
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