Prevalence and patterns of traditional and e-cigarette use, and factors associated with e-cigarette use

E-cigarette use in the UAE is influenced by a combination of sociodemographic and behavioral factors. The findings highlight the importance of separating e-cigarette use from traditional tobacco consumption in public health research and interventions, particularly when targeting younger populations.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-12-18
DOI
https://doi.org/10.3389/fpubh.2025.1698254
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence and patterns of traditional and e-cigarette use, and factors associated with e-cigarette use

Rifah Anwar Assadi, Jayadevan Sreedharan, Noorah Ali Omar Alshimmari
Frontiers in Public Health
Smoking Behavior and Cessation
article

Prevalence and patterns of traditional and e-cigarette use, and factors associated with e-cigarette use

Rifah Anwar Assadi, Jayadevan Sreedharan, Noorah Ali Omar Alshimmari
article en

Abstract

E-cigarette use in the UAE is influenced by a combination of sociodemographic and behavioral factors. The findings highlight the importance of separating e-cigarette use from traditional tobacco consumption in public health research and interventions, particularly when targeting younger populations.

Frontiers in Public HealthVol. 13
Gulf Medical University (AE), Shaikh Khalifa Medical City (AE)
Openalex Percentile: Top 50%
Smoking Behavior and Cessation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.