Evidence map›Paper›PMID 41325320›Full record

SynthesisPloS one2025

Global prevalence of E-cigarette use among students: Systematic review and meta-analysis.

Natnael Atnafu Gebeyehu, Kelemu Abebe Gelaw, Yibeltal Assefa Atalay, Belete Gelaw Walle, Molalegn Mesele Gesese, Biruk Adie Admass, Belete Birhan, Awoke Elefachew Geberemariam, Biresaw Wassihun Alemu, Nathan Estifanos Shewangashaw and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Natnael Atnafu GebeyehuSchool of Midwifery, College of Health Science and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.ORCID https://orcid.org/0000-0001-9583-833X
Kelemu Abebe GelawSchool of Midwifery, College of Health Science and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Yibeltal Assefa AtalayDepartment of Public Health, College of Medicine and Health Science, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Belete Gelaw WalleDepartment pediatrics and Neonatal Nursing, School of Nursing, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Molalegn Mesele GeseseDepartment of Public Health, College of Medicine and Health Science, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Biruk Adie AdmassDepartment of Anesthesia, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Belete BirhanDepartment of Psychiatry, College of Health Science and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Awoke Elefachew GeberemariamDepartment of Nursing, College of Medicine and Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia.
Biresaw Wassihun AlemuDepartment of Midwifery, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Nathan Estifanos ShewangashawDepartment of Adult Health Nursing, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Kirubel Dagnaw TegegneDepartment of Adult Health Nursing, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe growing use of e-cigarettes among students is a major public health concern. Yet, global data on its prevalence and associated risk factors remain limited. Therefore, this study aimed to estimate the global prevalence of e-cigarette use among students and identify key predictors influencing usage patterns.

methodsA systematic review and meta-analysis were conducted using articles retrieved from databases including Science Direct, Scopus, EMBASE, Google Scholar, and PubMed, between August 15 and September 21, 2024. Data were extracted using Excel and analyzed with STATA version 14. Heterogeneity was assessed using the I2 statistic, and publication bias was evaluated through forest plots and Begg and Egger's tests. Subgroup analyses were conducted by geographic region, World Bank income classification, and level of education. A pooled odds ratio was calculated to identify predictors of e-cigarette use.

resultsA total of 40 studies with 654,853 student participants were included in the final analysis. The global prevalence of e-cigarette use among students was 22.65%. Usage varied significantly by region and demographic factors, with the highest rates observed in the Western Pacific (32.13%) and among high school students (33.62%). Students in high-income countries reported the highest usage (23.15%) as well. Key predictors of e-cigarette use included being male (AOR = 3.22), smoking conventional cigarettes (AOR = 5.35), and consuming alcohol (AOR = 3.14).

conclusionThis meta-analysis reveals a high global prevalence of e-cigarette use among students, especially among high school males in high-income and Western Pacific regions, with strong associations to conventional cigarette smoking and alcohol use. Prioritize region-specific school based interventions targeting high-risk students particularly high school males in high-income countries to curb e-cigarette use and associated behaviors like smoking conventional cigarettes and alcohol consumption.

Indexed as

Electronic Nicotine Delivery SystemsStudentsVapingAdolescentFemaleGlobal HealthHumansMalePrevalenceRisk Factors

Identifiers

PMID41325320
PMCPMC12668485

What Socratic 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 Socratic graph.