Evidence map›Paper›PMID 40043004›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

Bidirectional Relationships Between Sleep Quality and Nicotine Vaping: Studying Young Adult e-cigarette Users in Real Time and Real Life.

Joon Kyung Nam, James J Yang, Shuyao Ran, Megan E Piper, Anne Buu

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Joon Kyung NamDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.
James J YangDepartment of Biostatistics and Data Science, University of Texas Health Science Center, Houston, TX, USA.
Shuyao RanDepartment of Management, Policy, & Community Health, University of Texas Health Science Center, Houston, TX, USA.
Megan E PiperCenter for Tobacco Research & Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.ORCID 0000-0002-9876-5460
Anne BuuDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.ORCID 0000-0002-5799-9594

Funding

Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
NIDA NIH HHS R01 DA049154NIH HHS R01DA049154
6 · The paper itself

Abstract

introductionIt is important to understand the impact of vaping on biological processes such as sleep. To date this has only been examined using cross-sectional, retrospective surveys. This study addresses this knowledge gap by (1) investigating bidirectional relationships between sleep quality and nicotine vaping based on real-time and real-life data and (2) exploring how young adults think about sleep and vaping and their reactions to monitoring these constructs.

methodsThirty-five young adults (ages 18-25) daily e-cigarette users wore smartwatches 24/7 to assess sleep quality and completed ecological momentary assessments for 7 days. Linear mixed models examined (1) whether sleep quality in the prior night predicted vaping frequency, negative mood, and craving today and (2) whether today's vaping frequency predicted the quality of tonight's sleep. Thematic analysis was conducted on participants' open-ended responses to the follow-up survey to explore what they learned about their sleep and vaping through self-monitoring.

resultsA higher percentage of wake time after sleep onset predicted higher levels of negative mood (β = 3.9793, p = .0220) and craving for e-cigarettes (β = 3.0806, p = .0277). Greater vaping frequency predicted lower overall sleep quality (β = -0.2056, p = .0322) and more time in light sleep (β = -0.0011, p = .0296). The majority of participants reported that during the course of the study they learned that they had sleep problems and vaped more than they thought.

conclusionsThe findings of this first real-time and real-life study support bidirectional relationships between sleep quality and nicotine vaping. Smartwatch and smartphone technology to track sleep and vaping influenced self-awareness and shows promise for future vaping cessation interventions. IMPLICATIONS: Limited research has been conducted looking at how vaping can influence sleep and how sleep can influence subsequent vaping among young adults. Data from real-time measures completed in real life showed that vaping interfered with sleep and that waking up more in the middle of the night increased negative affect and craving to vape the following day. Using the smartwatch and app to monitor sleep and vaping increased participants' awareness of these behaviors, which could be used to motivate vaping cessation.

Indexed as

Electronic Nicotine Delivery SystemsNicotineSleepSleep QualityVapingAdolescentAdultAffectCravingCross-Sectional StudiesEcological Momentary AssessmentFemaleHumansMaleRetrospective StudiesSurveys and QuestionnairesNicotine

Identifiers

PMID40043004
PMCPMC12370463

What OpenQuestion holds

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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.