ArticleBMC ophthalmology2026
The prevalence and association between electronic cigarette use and dry eye symptom severity among Palestinian university students: a cross-sectional study.
Article in BMC ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDry eye symptoms are common and can negatively affect visual function and quality of life, particularly among young adults. Electronic cigarette use has increased markedly in this age group; however, evidence regarding its association with dry eye symptoms, especially in Middle Eastern populations, remains limited.
methodsA cross-sectional study was conducted among undergraduate students enrolled at multiple Palestinian universities in the West Bank between January and May 2025. Data were collected using a structured self-administered questionnaire assessing sociodemographic characteristics, smoking status, and dry eye symptoms measured by the Ocular Surface Disease Index (OSDI). Smoking status was categorized as non-smoking, exclusive e-cigarette use, exclusive traditional cigarette smoking, or dual use of e-cigarettes and traditional cigarettes. Dry eye symptom severity was classified using established OSDI cutoffs. Crude and adjusted associations between smoking status and dry eye symptom severity were evaluated using ordinal logistic regression, adjusting for age, sex, and academic year.
resultsA total of 450 participants were included in the analysis, of whom 58.2% of participants had dry eye symptoms defined as an OSDI score > 12 (mild, moderate, or severe categories). In adjusted analyses, Dual use of e-cigarettes and traditional cigarettes was significantly associated with higher odds of more severe dry eye symptoms compared with non-smoking (OR = 2.35; 95% CI 1.23-4.49; p = 0.010). Exclusive e-cigarette use was associated with higher odds of dry eye symptom severity (OR = 1.64; 95% CI 0.89-3.02; p = 0.113), although this association did not reach statistical significance. Traditional cigarette smoking demonstrated an inverse association with dry eye symptom severity in crude analysis (OR = 0.49; 95% CI 0.25-0.96; p = 0.038), which was no longer significant after adjustment (OR = 0.90; 95% CI 0.43-1.90; p = 0.789). The proportional odds assumption was not violated.
conclusionsDual use of e-cigarettes and traditional cigarettes is independently associated with increased severity of dry eye symptoms among Palestinian undergraduate students. These findings suggest that combined smoking behaviors may pose additional ocular health risks and highlight the need for targeted awareness and preventive strategies addressing smoking-related ocular surface symptoms among young adults. CLINICAL TRIAL NUMBER: Not applicable.
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.