ArticleFrontiers in public health2026
The association between smoking and COVID-19 symptoms, severity, and post-COVID-19 symptoms: a cross-sectional survey study.
Article in Frontiers in public health, 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Coronavirus disease 2019 (COVID-19) is globally linked to serious health threats. Understanding the risk factors associated with COVID-19 would improve our health status and preparedness for pandemics. Smoking is linked to adverse and long-term health consequences. Methods: The central goal is to examine the factors associated with COVID-19 severity, including smoking E-Cigs and conventional cigarettes, using the Cigarette Dependence Index (a validated questionnaire), and considering sociodemographic variables and disease severity. The survey was distributed online from 19 January to 1 March, 2023; of 560 responses, 262 were included. We found that most cases in the fourth infection exhibited a higher percentage of symptom-free individuals and shorter disease duration. Results: We found that most cases in the fourth infection exhibited a higher per-centage of symptom-free individuals and shorter disease duration. The logistic regression analysis showed that singles were four times more susceptible than married individuals, and males were two times more likely to present coronavirus symptoms than females. The binomial logistic regression studies showed that post-coronavirus symptoms were higher in men and individuals with asthma. Conclusion: This evidence supports promoting innovative solutions to prevent smoking and establishing a sustainable emergency response system based on the COVID-19 experience.
Indexed as
Identifiers
What Socratic 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 Socratic graph.