Daily cannabis use is associated with sleep duration differentially across ages.


Journal

Sleep health
ISSN: 2352-7226
Titre abrégé: Sleep Health
Pays: United States
ID NLM: 101656808

Informations de publication

Date de publication:
04 2023
Historique:
received: 16 06 2022
revised: 29 09 2022
accepted: 14 10 2022
pmc-release: 01 04 2024
medline: 25 4 2023
pubmed: 21 11 2022
entrez: 20 11 2022
Statut: ppublish

Résumé

To assess the relationship between frequency of cannabis use and sleep duration across age in a large US population (235,667 people). Multinomial logistic regression was used to evaluate the association between the frequency of cannabis use and sleep duration using cross sectional data from the 2016-2018 Behavioral Risk Factor Surveillance System. When adjusted for sociodemographic factors, health related variables, and stratified by age we found that young adults (18-44 years) who reported daily-use (≥16 uses a month) had an increased risk ratio (RR [95% CI]) for either short or long sleep (1.22 [1.06-1.40] and 1.52 [1.07-2.16]); midlife adults (45-64 years) who reported daily-use had an increased prevalence of long sleep (1.71 [1.03-2.82]); and older adults (≥65 years) who reported daily-use had an increased prevalence of short sleep (1.61 [1.05-2.49]). Compared to those who reported no cannabis use, individuals who reported daily cannabis use demonstrated a greater prevalence for either short or long sleep duration.

Identifiants

pubmed: 36404265
pii: S2352-7218(22)00189-9
doi: 10.1016/j.sleh.2022.10.006
pmc: PMC10122692
mid: NIHMS1843351
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-184

Subventions

Organisme : NHLBI NIH HHS
ID : K01 HL151745
Pays : United States
Organisme : NHLBI NIH HHS
ID : R35 HL155681
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL146992
Pays : United States

Informations de copyright

Copyright © 2022 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

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Auteurs

Joshua E Gonzalez (JE)

Oregon Institute of Occupational Health Sciences, Oregon Health and Sciences University, Portland, Oregon, USA.

Steven A Shea (SA)

Oregon Institute of Occupational Health Sciences, Oregon Health and Sciences University, Portland, Oregon, USA.

Nicole P Bowles (NP)

Oregon Institute of Occupational Health Sciences, Oregon Health and Sciences University, Portland, Oregon, USA. Electronic address: bowlesn@ohsu.edu.

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Classifications MeSH