Diurnal rhythmicity of wearable device-measured wrist temperature predicts future disease incidence in the UK Biobank.


Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
15 Feb 2023
Historique:
entrez: 24 2 2023
pubmed: 25 2 2023
medline: 25 2 2023
Statut: epublish

Résumé

Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which are well-established biomarkers for circadian clock function. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range

Identifiants

pubmed: 36824952
doi: 10.21203/rs.3.rs-2535978/v1
pmc: PMC9949244
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH098260
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH106442
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH109991
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000003
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES013508
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Nicholas Lahens (N)

University of Pennsylvania.

Gregory Grant (G)

Institute of Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania; Department of Genetics, University of Pennsylvania Perelman School of Medicine.

Yvette Sheline (Y)

University of Pennsylvania Perelman School of Medicine.

Classifications MeSH