Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians.


Journal

NPJ digital medicine
ISSN: 2398-6352
Titre abrégé: NPJ Digit Med
Pays: England
ID NLM: 101731738

Informations de publication

Date de publication:
18 Feb 2021
Historique:
received: 14 05 2020
accepted: 11 01 2021
entrez: 19 2 2021
pubmed: 20 2 2021
medline: 20 2 2021
Statut: epublish

Résumé

While 24-h total sleep time (TST) is established as a critical driver of major depression, the relationships between sleep timing and regularity and mental health remain poorly characterized because most studies have relied on either self-report assessments or traditional objective sleep measurements restricted to cross-sectional time frames and small cohorts. To address this gap, we assessed sleep with a wearable device, daily mood with a smartphone application and depression through the 9-item Patient Health Questionnaire (PHQ-9) over the demanding first year of physician training (internship). In 2115 interns, reduced TST (b = -0.11, p < 0.001), later bedtime (b = 0.068, p = 0.015), along with increased variability in TST (b = 0.4, p = 0.0012) and in wake time (b = 0.081, p = 0.005) were associated with more depressive symptoms. Overall, the aggregated impact of sleep variability parameters and of mean sleep parameters on PHQ-9 were similar in magnitude (both r

Identifiants

pubmed: 33603132
doi: 10.1038/s41746-021-00400-z
pii: 10.1038/s41746-021-00400-z
pmc: PMC7892862
doi:

Types de publication

Journal Article

Langues

eng

Pagination

28

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH101459
Pays : United States
Organisme : U.S. Department of Health & Human Services | National Institutes of Health (NIH)
ID : R01MH101459

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Auteurs

Yu Fang (Y)

Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA. yfang@umich.edu.

Daniel B Forger (DB)

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

Elena Frank (E)

Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.

Srijan Sen (S)

Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.

Cathy Goldstein (C)

Department of Neurology, University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH