Evidence map›Paper›PMID 41408729›Full record

ArticleSleep2026

Chronic cannabis use and sleep architecture: a cross-sectional analysis of polysomnography outcomes in a sleep-clinic cohort.

Rob Velzeboer, Sabrina Wei, Wayne W K Lai

Abstract read
In one paragraph

Article in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rob VelzeboerClinical Research Department, Tranq Sleep Care, Kelowna, BC, Canada.ORCID 0000-0003-2596-9427
Sabrina WeiClinical Research Department, Tranq Sleep Care, Kelowna, BC, Canada.
Wayne W K LaiClinical Research Department, Tranq Sleep Care, Kelowna, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesCannabis is widely self-administered as a sleep aid, yet objective evidence from large polysomnography cohorts remains scarce. We assessed whether long-term daily cannabis use is associated with alterations in overnight sleep architecture at a Canadian sleep clinic.

methodsWe retrospectively analyzed overnight polysomnography studies from 1449 adult sleep clinic patients. Exposure was chronic cannabis use, defined as ≥daily consumption for ≥1 year (n = 151). Never-users (n = 1298) served as the reference group. Nine polysomnography outcomes-total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency, rapid eye movement (REM) latency, and N1, N2, N3, and REM sleep (presence and duration)-were modeled with outcome-appropriate regressions adjusted for 28 demographic, lifestyle, comorbidity, medication, and sleep-related covariates.

resultsChronic cannabis use was associated with higher wake after sleep onset (β = 21%; 95% CI 6.7% to 37.2%), lower sleep efficiency (β = -3.8%; 95% CI -6.6% to 1.0%), and elevated N1 (β = 2.8 percentage points [pp]; 95% CI 0.3 to 5.6 pp). Nominally, total sleeping time was lower among cannabis users (β = -3.3%; 95% CI -6.3% to 0.3%). Effect directions and magnitudes persisted across sensitivity analyses.

conclusionsAmong sleep-clinic patients, long-term daily cannabis use was associated with greater nocturnal wakefulness. Given that most participants had moderate-to-severe sleep apnea, findings should be interpreted with caution. Studies detailing dose, timing, and cannabinoid composition are needed to clarify causality and clinical relevance. Statement of Significance Cannabis is frequently used to manage sleep problems, yet its long-term effects on sleep architecture remain uncertain. This study provides the largest clinic-based assessment to date, linking chronic daily use to objectively measured increases in nocturnal wakefulness among sleep clinic patients primarily referred for sleep apnea, suggesting that habitual cannabis use may fragment sleep. These findings raise important questions for clinicians and researchers, given the widespread use of cannabis as a sleep aid. Longitudinal and experimental studies are needed to clarify how dose, timing, and cannabinoid profile influence sleep and to explore downstream consequences for cognition, mood, and long-term health. Clarifying these pathways will guide patient counseling, therapeutic decisions, and public policy as legalization and social acceptance continue to expand.

Indexed as

Marijuana UsePolysomnographySleepAdultCanadaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesSleep, REMcannabischronicpolysomnographysleep architecturesleep fragmentationsleep stagingTHC

Identifiers

PMID41408729
PMCPMC13163167

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.