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Updated: May 5, 2026

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
Published on: May 24, 2017
Evidence update on e-cigarette dependence: A systematic review and meta-analysis
Anasua Kundu1, Sherald Sanchez1, Siddharth Seth1
1University of Toronto Temerty Faculty of Medicine, Canada.
E-cigarette dependence levels are similar to traditional cigarette dependence. Never-smoker vapers show lower dependence than dual users, and nicotine concentration, frequency, and duration of use increase dependence risk.
Area of Science:
- Public Health
- Addiction Science
- Tobacco Control
Background:
- E-cigarette use has rapidly increased across various populations.
- Understanding the risk of e-cigarette dependence is crucial for public health interventions.
- Previous reviews, including one by the National Academies of Science, Engineering, and Medicine, highlighted the need for updated evidence.
Purpose of the Study:
- To systematically review and update the evidence on e-cigarette dependence risk.
- To examine dependence in different populations, including never-smokers and dual users.
- To synthesize findings on factors influencing e-cigarette dependence.
Main Methods:
- A comprehensive literature search was conducted across six academic databases (September 2017–December 2023).
- Included peer-reviewed human, animal, and in vitro studies examining e-cigarette use and dependence; excluded qualitative studies.
- Meta-analyses were performed where possible, with quality assessment using appropriate risk of bias tools.
Main Results:
- Meta-analyses indicated no significant difference in dependence between non-smoker vapers and current smokers/dual users.
- Never-smoker vapers exhibited lower dependence levels compared to dual users (SMD -0.723, p < 0.01).
- Nicotine vapers showed higher dependence than non-nicotine vapers; dependence correlated positively with nicotine concentration, frequency, and duration of use.
Conclusions:
- E-cigarette dependence is comparable in level and prevalence to cigarette dependence.
- Significant variability exists in population definitions and dependence assessment methods.
- Further research and ongoing monitoring are essential for effective public health strategies.
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