Dataset Information

Factors Associated with the Dual Use of Electronic Cigarettes and Cigarettes among Thai Undergraduate Students Who Smoked Cigarettes.

ABSTRACT: This study proposed to identify factors associated with the dual use of electronic cigarettes (e-cigarettes) and cigarettes among undergraduate students who smoked cigarettes. This cross-sectional study employed a self-administered, anonymous online questionnaires to collect information from undergraduate smokers in northern Thailand. Of the 494 participants, 82.8% were dual users of e-cigarettes and cigarettes. The two main reasons for using e-cigarettes were an absence of cigarette smoke odor (76.8%) and availability of flavors (70.7%). Undergraduate smokers who initiated smoking at ≥18 years old were more likely to be dual users than those who initiated smoking at younger age (adjusted odds ratio [aOR]: 2.79, 95% confidence intervals [CI]: 1.32-5.89, p = 0.007). Undergraduate smokers who smoked ≥11 cigarettes daily were more likely to be dual users than those who smoked less (aOR: 2.64, 95% CI: 1.52-4.61, p = 0.001). Conversely, undergraduate smokers who had attempted to quit during the past year were less likely to be dual users (aOR: 0.26, 95% CI: 0.12-0.56, p = 0.001). In conclusion, dual use of e-cigarettes and cigarettes among undergraduate smokers was associated with older age at cigarette smoking initiation, a higher number of cigarettes smoked daily, and having no past year's cigarette quit attempts.

SUBMITTER: Chulasai P

PROVIDER: S-EPMC8700373 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Purpose:Harmful alcohol use among University students is a problem throughout the world. However, little is known about alcohol use disorders among JFD university students in Ethiopia. Therefore, this study aimed to assess the prevalence and associated factors of alcohol use disorder (AUD) among Jimma University undergraduate students. Methods:Institution-based cross-sectional study was conducted among Jimma university students. Data were collected from 741 sampled students who were selected through a multi-stage stratified sampling technique. Alcohol Use Disorder Identification Test (AUDIT), Oslo 3 items social support scale (OSS-3), and Kessler-6 (K6) tools were used to assess alcohol use disorders, social support, and psychological distress, respectively. Data were analyzed through SPSS version 20.0. Bivariate and multivariate logistic regression analyses were conducted and adjusted odds ratio (AOR) at a 95% confidence interval (CI) was used to determine the independently associated factors of AUD. Results:The overall prevalence of AUD among Jimma University undergraduate students was 26.5%. There was a positive and independent association between AUDs and being single AOR= 1.98, 95% CI [1.21, 3.22], having a history of mental illness AOR= 1.98, 95% CI [1.04, 3.75], having a history of suicidal attempt AOR= 3.63, 95% CI [1.18, 11.11], smoking cigarette AOR= 5.04, 95% CI [2.02, 12.57], having peer pressure to drink alcohol AOR= 2.72, 95% CI [1.76, 4.19] and presence of mental distress AOR= 2.81, 95% CI [1.83, 4.32]. Conclusion:The findings of this study showed that the prevalence of AUD was high in the sampled undergraduate students of Jimma University. AUD was positively associated with mental, substance, and behavioral risk factors. Therefore, concerted actions needed to emplace to increase the student's awareness of the effect of harmful alcohol use. Moreover, it is recommended that further studies need to be conducted to develop strategies for evidence-based interventions.

Project description:IntroductionDual use of electronic cigarettes (e-cigarettes) and combustible cigarettes is a major public health issue. It is generally accepted that exclusive e-cigarette use is less harmful than exclusive combustible cigarette use, but most e-cigarette users continue to smoke combustible cigarettes as well. To what extent the use of e-cigarettes reduces harm in people who continue to smoke combustible cigarettes has been debated. The aim of this study was to explore the utility of biomarkers as measures of dual use.MethodsIn two human studies of participants who used e-cigarettes only or both combustible cigarettes and e-cigarettes, we measured urine concentrations of the metabolites of nicotine (total nicotine equivalents) as well as two biomarkers of tobacco exposure: 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), a tobacco-specific carcinogen metabolite, and nicotelline, a tobacco alkaloid not found in significant concentrations in e-cigarette products.ResultsThe presence of nicotine metabolites indicates either e-cigarette or combustible cigarette use. Nicotelline (half-life of 2-3 hours) indicates recent combustible cigarette use and NNAL (half-life of 10 days or more), indicates combustible cigarette use occurring within several weeks prior to sample collection.ConclusionsNicotelline and NNAL are useful biomarkers for combustible tobacco use in users e-cigarettes. The application of these biomarkers provides a tool to help assess whether, or to what extent, dual use of e-cigarettes and combustible cigarettes reduces harm compared to sole use of combustible cigarettes. These biomarkers can also verify exclusive use of e-cigarettes over short (24 hour) or long (several week) time periods.ImplicationsTo what extent dual use of e-cigarettes and combustible cigarettes reduce harm compared to smoking combustible cigarettes only is of considerable public health interest. We show that the levels of the minor tobacco alkaloid nicotelline and the nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) are extremely low in electronic cigarette fluids. The urine biomarkers nicotelline and the NNK metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) are indicative of cigarette smoking and can be used to assess recent and past smoking in dual users.

Dataset Information

Factors Associated with the Dual Use of Electronic Cigarettes and Cigarettes among Thai Undergraduate Students Who Smoked Cigarettes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets