Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers.

circadian rhythm heart rate internal desynchrony social distancing wearables

Journal

Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889

Informations de publication

Date de publication:
2021
Historique:
received: 18 06 2021
accepted: 05 10 2021
entrez: 6 12 2021
pubmed: 7 12 2021
medline: 7 12 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34870267
doi: 10.3389/fdgth.2021.727504
pmc: PMC8634937
doi:

Types de publication

Journal Article

Langues

eng

Pagination

727504

Informations de copyright

Copyright © 2021 Huang, Mayer, Walch, Bowman, Sen, Goldstein, Tyler and Forger.

Déclaration de conflit d'intérêts

OW has given talks at Unilever events and received honorariums/travel expenses. She is the CEO of Arcascope, a company that makes circadian rhythms software. DF is the CSO of Arcascope. They and the University of Michigan are part owners of Arcascope. Arcascope did not sponsor this research. CG receives royalties from UpToDate. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Curr Biol. 2017 Jun 19;27(12):1768-1775.e3
pubmed: 28578930
Proc Biol Sci. 2021 Jul 28;288(1955):20210721
pubmed: 34284625
Sci Rep. 2019 Jul 30;9(1):11032
pubmed: 31363110
Front Nutr. 2020 Apr 17;7:39
pubmed: 32363197
Cell Rep Methods. 2021 Aug 23;1(4):
pubmed: 34568865
Curr Biol. 2013 Aug 19;23(16):1554-8
pubmed: 23910656
Sleep. 2021 Oct 11;44(10):
pubmed: 34013347
Annu Rev Neurosci. 2012;35:445-62
pubmed: 22483041
Neuron. 2012 Apr 26;74(2):246-60
pubmed: 22542179
J Transl Med. 2020 Jun 8;18(1):229
pubmed: 32513197
Nature. 1991 Mar 7;350(6313):59-62
pubmed: 2002845
Sleep. 2020 Feb 13;43(2):
pubmed: 31641776
Science. 1999 Jun 25;284(5423):2177-81
pubmed: 10381883
Proc Natl Acad Sci U S A. 2015 Jan 27;112(4):1232-7
pubmed: 25535358
J Med Internet Res. 2019 May 11;21(6):e13482
pubmed: 31199292
Proc Natl Acad Sci U S A. 2019 Jun 11;116(24):12019-12024
pubmed: 31138694
Sleep Med. 2012 Jun;13(6):703-6
pubmed: 22445311
Curr Biol. 2020 Aug 17;30(16):R930-R931
pubmed: 32810450
Curr Biol. 2020 Jul 20;30(14):R797-R798
pubmed: 32693068
J Biol Rhythms. 1999 Dec;14(6):493-9
pubmed: 10643746
Sci Rep. 2019 Jul 29;9(1):11001
pubmed: 31358781
J Pineal Res. 2021 Aug;71(1):e12745
pubmed: 34050968
J Int Soc Sports Nutr. 2021 Apr 28;18(1):33
pubmed: 33910582
J Clin Sleep Med. 2021 Feb 1;17(2):299-313
pubmed: 33108269
Nat Commun. 2021 Apr 30;12(1):2472
pubmed: 33931651
Lancet Neurol. 2021 Jan;20(1):15-17
pubmed: 33340475
Am J Physiol. 1992 May;262(5 Pt 2):R885-91
pubmed: 1590482
J Clin Sleep Med. 2021 Feb 1;17(2):185-191
pubmed: 32975194
Prog Neuropsychopharmacol Biol Psychiatry. 2007 Jan 30;31(1):1-11
pubmed: 16884842
J Biol Rhythms. 2017 Jun;32(3):274-286
pubmed: 28452285
Can J Public Health. 2020 Oct;111(5):654-657
pubmed: 32700231
J Biol Rhythms. 1999 Jun;14(3):227-36
pubmed: 10452335
J Sleep Res. 2021 Feb;30(1):e13231
pubmed: 33200477
J Biol Rhythms. 2007 Oct;22(5):454-7
pubmed: 17876066
Sleep. 2019 Dec 24;42(12):
pubmed: 31579900
Clocks Sleep. 2021 Apr 22;3(2):251-258
pubmed: 33921946
Chronobiol Int. 2020 Aug;37(8):1191-1200
pubmed: 32660352

Auteurs

Yitong Huang (Y)

Department of Mathematics, Dartmouth College, Hanover, NH, United States.

Caleb Mayer (C)

Department of Mathematics, University of Michigan, Ann Arbor, MI, United States.

Olivia J Walch (OJ)

Department of Neurology, University of Michigan, Ann Arbor, MI, United States.

Clark Bowman (C)

Department of Mathematics and Statistics, Hamilton College, Clinton, NY, United States.

Srijan Sen (S)

Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States.

Cathy Goldstein (C)

Department of Neurology, University of Michigan, Ann Arbor, MI, United States.

Jonathan Tyler (J)

Department of Mathematics, University of Michigan, Ann Arbor, MI, United States.
Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States.

Daniel B Forger (DB)

Department of Mathematics, University of Michigan, Ann Arbor, MI, United States.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States.
Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States.

Classifications MeSH