ArticleHeliyon2025
Differences in vaping frequency and negative health effects experienced from vaping in a sample of vapers from three Middle Eastern countries.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Quit journey lessons: qualitative insights from men in Qatar who formerly vaped.BMC public health · 2026Article
- Vaping leads tobacco consumption among university students in Arab countries: a study of behavioral and psychosocial factors associated with smoking.Frontiers in public health · 2025Article
- Correlates of perceived social unacceptability of vaping among regular e-cigarette users: a cross-sectional study of a sample of Middle Eastern countries.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To examine differences in the likelihood of higher vaping frequency and experiencing negative effects from vaping in a sample of vapers from three Middle Eastern countries. Methods: Adult vapers completed an online cross-sectional survey through a link on social media using paid advertisements. Using logistic regression, we tested the relationship between country of residence with number of days vaped in a week (daily or nondaily), vaping episodes in a day [regular use (1-16 episodes) versus compulsive use (>16 episodes)], puffs per episode [moderate (1-9 puffs) versus binge (>9 puffs)], and experienced negative health effects (yes versus no), while controlling for sociodemographic variables. Results: In total, 386 vapers were included in the logistic regression analyses. Compared to vapers in Qatar, those in Egypt were more likely to vape daily, and those in Iraq were more likely to experience negative health effects. Male vapers had lower likelihood of experiencing negative effects than female vapers. Vapers with past quit attempts had a lower likelihood of vaping daily and higher likelihood of experiencing negative health effects compared to vapers who did not attempt quitting. Compared to regular vapers, compulsive vapers were more likely to vape daily, and daily vapers were more likely to vape compulsively relative to non-daily vapers. Compared to vapers that never used tobacco, vapers who used tobacco in the past were more likely to vape daily and compulsively, and vapers who are current tobacco users were more likely to vape compulsively. Conclusion: Country-based differences reflect policy stringency as more strict ones (Qatar) had lower vaping frequency. Higher vaping frequency was more evident in compulsive vapers, daily vapers, and vapers with past tobacco use history. Negative health outcomes were more common among females and in those with past quit attempts, which signifies the need for targeted vaping cessation for these populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.