Evidence map›Paper›PMID 38704886›Full record

ArticleDrug and alcohol dependence2024

The case of young people who use e-cigarettes infrequently: Who is this population? What becomes of them?

Megan E Roberts, Jill M Singer, Bo Lu, Dylan D Wagner, Loren E Wold, Rui Qiang, Peter F Craigmile, Alayna P Tackett

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  2. Article
  3. Multilevel Correlates of Same Day Poly-Product Use/Co-Use among Adolescents Who Use Tobacco and Cannabis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  4. Article
  5. 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

8 authors.

Megan E RobertsCollege of Public Health, The Ohio State University, Columbus, OH, United States. Electronic address: Roberts.1558@osu.edu.
Jill M SingerCollege of Public Health, The Ohio State University, Columbus, OH, United States.
Bo LuCollege of Public Health, The Ohio State University, Columbus, OH, United States.
Dylan D WagnerDepartment of Psychology, The Ohio State University, Columbus, OH, United States.
Loren E WoldDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, United States.
Rui QiangDepartment of Statistics, The Ohio State University, Columbus, OH, United States.
Peter F CraigmileDepartment of Mathematics and Statistics, Hunter College, CUNY, New York, NY, United States.
Alayna P TackettDivision of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, United States.

Funding

American Heart Association-American Stroke Association 20YVNR35490079 - PETER MOHLER
6 · The paper itself

Abstract

backgroundEmerging data indicate that many adolescents and young adults ("youth") engage in infrequent, or occasional, e-cigarette use. However, little is known about this population as they are often subsumed into the broader "any past-30-day use" category used to define youth "current use." This study aimed to focus on infrequent e-cigarette use by youth, examining its correlates and transitional outcomes.

methodsParticipants were from a prospective cohort study of youth (aged 15-24 at baseline). Among youth who had used e-cigarettes, we classified "infrequent use" as using e-cigarettes ≤5 days in the last 30 days (n=273) and "frequent use" as using e-cigarettes ≥6 days in the last 30 days (n=278). Descriptive statistics, Markov modeling, and logistic regression were utilized.

resultsBy the 12-month follow-up, 76.8% of those using infrequently at baseline remained in the "infrequent use" category, 6.3% reported no recent use, and 16.8% had escalated to the "frequent use" category. Among the youth using infrequently at baseline, those who did (vs. did not) escalate to frequent use by follow-up had higher baseline nicotine dependence and were more likely to have family members who used tobacco.

conclusionsInfrequent e-cigarette use is extremely common, and often fairly stable, among young people. Prevention efforts must certainly attempt to reduce escalation and attend to both individual and interpersonal factors (e.g., nicotine dependence, family use). Yet prevention efforts must additionally attend to the case of continued infrequent use, given the high prevalence of people in this category and their regular exposure to e-cigarette harms.

Indexed as

Electronic Nicotine Delivery SystemsVapingAdolescentCohort StudiesFemaleHumansMaleProspective StudiesYoung AdultE-cigarettesPreventionTransitionsUse frequencyYouth tobacco use

Identifiers

PMID38704886
PMCPMC12645567

What OpenQuestion holds

Textmetadata
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.