Evidence map›Paper›PMID 40811772›Full record

ArticleJournal of medical Internet research2025

Real-Time Antecedents of Young Adults' Vaping and Co-Vaping of Nicotine and Cannabis: An Ecological Momentary Assessment Study.

Vuong Van Do, Pamela May Ling, Salomeh Keyhani, Gregory M Marcus, Johannes Thrul, Nhung Nguyen

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Vuong Van DoCenter for Tobacco Control Research and Education, University of California, San Francisco, 530 Parnassus Avenue Suite 366, San Francisco, CA, 94143, United States, 1 415-476-2265.ORCID http://orcid.org/0000-0003-2140-9772
Pamela May LingCenter for Tobacco Control Research and Education, University of California, San Francisco, 530 Parnassus Avenue Suite 366, San Francisco, CA, 94143, United States, 1 415-476-2265.ORCID http://orcid.org/0000-0001-6166-9347
Salomeh KeyhaniCenter for Data to Discovery and Delivery Innovation (3DI), San Francisco VA Health Care System, San Francisco, CA, United States.ORCID http://orcid.org/0000-0001-9124-9618
Gregory M MarcusDepartment of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA, United States.ORCID http://orcid.org/0000-0001-5197-7696
Johannes ThrulDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID http://orcid.org/0000-0001-8929-9579
Nhung NguyenCenter for Tobacco Control Research and Education, University of California, San Francisco, 530 Parnassus Avenue Suite 366, San Francisco, CA, 94143, United States, 1 415-476-2265.ORCID http://orcid.org/0000-0002-8661-9597

Funding

Developing a smartphone-based intervention targeting high-risk situations of nicotine vaping among young adultsK01DA056693 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nhung Nguyen · 2024 to 2026
$575k
NIDA NIH HHS K01 DA056693
6 · The paper itself

Abstract

Background: Nicotine and cannabis vaping are common among young adults and can potentially lead to adverse health consequences. Identifying real-time antecedents of vaping events may provide insights into intervention targets pertinent to these behaviors. This study aimed to examine real-time antecedents of nicotine and cannabis vaping and same-occasion co-vaping among young adults. Objective: This study aims to examine real-time antecedents of nicotine and cannabis vaping and same-occasion co-vaping among young adults. Methods: We collected ecological momentary assessments (EMAs) via a smartphone app among California young adults (ages 18-29 y) in 2023-2024. Participants completed four random prompts each day for 30 consecutive days. Outcomes were defined as whether participants reported being about to vape nicotine, cannabis, or both substances (same-occasion co-vaping) in a given EMA. We used mixed-effects logistic regression models to examine real-time antecedents of each outcome. Results: Overall, 113 participants (mean age 23.8 y, SD3 y, 63% female, n=70) completed 9001 EMAs. Similar antecedents of all 3 vaping outcomes were craving and using alcohol. Increased cravings for a given substance were associated with a higher likelihood of vaping that substance or co-vaping. Craving for cannabis vaping was associated with lower odds of reporting nicotine vaping (adjusted odds ratio [AOR] 0.87, 95% CI 0.82-0.92). Feeling happier was associated with higher odds of reporting co-vaping (AOR 1.13, 95% CI 1.01-1.27) while feeling more stressed was associated with lower odds of vaping nicotine (AOR 0.95, 95% CI 0.91-0.98) or cannabis (AOR 0.91, 95% CI 0.86-0.97). Seeing tobacco advertisements was associated with higher odds of vaping nicotine (AOR 3.09, 95% CI 1.48-6.46) and co-vaping (AOR 4.15, 95% CI 1.18-14.52). Cannabis vaping was more likely to occur in the afternoon (AOR 1.52, 95% CI 1.16-1.98) and nighttime (AOR 1.95, 95% CI 1.45-2.63) than in the morning. Co-vaping was also more likely to occur in the afternoon (AOR 1.59, 95% CI 1.14-2.22) and nighttime (AOR 1.84, 95% CI 1.26-2.71) than in the morning, but the association was not held for nicotine vaping. Nicotine vaping was more likely to occur on weekends compared to weekdays (AOR 1.25, 95% CI 1.09-1.45), but no significant associations were found for cannabis vaping and co-vaping. Conclusions: We found similar antecedents (craving and alcohol use) and unique antecedents (mood, advertising exposure, and time of day) for nicotine vaping, cannabis vaping, and same-occasion co-vaping, suggesting targets for future vaping cessation interventions.

Indexed as

Ecological Momentary AssessmentNicotineVapingAdolescentAdultCaliforniaCannabisFemaleHumansMaleYoung AdultNicotinecannabis vapingco-usemarijuana vapingmHealthmobile phonenicotine vapingtobacco

Identifiers

PMID40811772
PMCPMC12352800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.