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
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
28Subventions
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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