Determinants of E-Cigarette and Cigarette Use among Youth and Young Adults in Poland—PolNicoYouth Study

Ilona Wężyk-Caba, Małgorzata Znyk, Radosław Zajdel, Łukasz Balwicki, Anna Tyrańska-Fobke (), Grzegorz Juszczyk, Karolina Zajdel, Beata Świątkowska and Dorota Kaleta
Additional contact information
Ilona Wężyk-Caba: Department of Hygiene and Epidemiology, Medical University of Lodz, 7/9 Żeligowskiego Street, 90-752 Łódź, Poland
Małgorzata Znyk: Department of Hygiene and Epidemiology, Medical University of Lodz, 7/9 Żeligowskiego Street, 90-752 Łódź, Poland
Radosław Zajdel: Department of Business and Informatics, University of Łódź, POW 3/5 Street, 90-255 Łódź, Poland
Łukasz Balwicki: Department of Public Health and Social Medicine, Medical University of Gdańsk, 7 Dębinki Street, 80-210 Gdańsk, Poland
Anna Tyrańska-Fobke: Department of Public Health and Social Medicine, Medical University of Gdańsk, 7 Dębinki Street, 80-210 Gdańsk, Poland
Grzegorz Juszczyk: Department of Public Health, Medical University of Warsaw, 5 Jana Nielubowicza St., 02-097 Warsaw, Poland
Karolina Zajdel: Department of Medical Informatics and Statistics, Medical University of Lodz, 1 Hallera Sq., 90-645 Łódź, Poland
Beata Świątkowska: Department of Hygiene and Epidemiology, Medical University of Lodz, 7/9 Żeligowskiego Street, 90-752 Łódź, Poland
Dorota Kaleta: Department of Hygiene and Epidemiology, Medical University of Lodz, 7/9 Żeligowskiego Street, 90-752 Łódź, Poland

IJERPH, 2022, vol. 19, issue 18, 1-12

Abstract: Teen use of tobacco-related products is a significant public health concern. This study evaluated the predictors of e-cigarette use among secondary school students who were never cigarette smokers and ever cigarette smokers in Poland. Methods: This study examined a sample of Polish youths aged 13–19 ( n = 19,241) attending 200 schools, 12 on average in each county. The study was a part of the National Health Program in Poland for 2016–2020. Logistic regression and multivariable logistic regression models were used to calculate crude and adjusted odds ratios. Results: Of all participants, 32.5% were ever cigarette users. Among the never cigarette users, 13.6% were deemed susceptible to e-cigarette use. Among the ever cigarette users, 60.6% were deemed susceptible to e-cigarette use. Of those susceptible to e-cigarette use, 68.2% were among the 32.5% ever cigarette users. The profile of e-cigarette use among never e-cigarette users also included: pocket money available per month (more than 150 PLN) (OR = 1.7; p = 0.001), 16–17 years old (OR = 1.9; p = 0.001), parental tobacco smoking and e-cigarette usage (OR = 2.0; p = 0.01 and OR = 1.7; p = 0.001 respectively), maternal secondary education (OR = 1.1; p = 0.04), and living in big cities >500,000 inhabitants (OR = 1.4; p = 0.04). E-cigarette users among ever cigarette users were similar to never cigarette users in their opinion that e-cigarette use is less harmful than traditional smoking (OR = 1.6; p = 0.0012) and living with both parents smoking cigarettes (OR = 1.3; p = 0.02). Additionally, the determinants were: female gender (OR = 1.5; p = 0.009) in the age group less than 15 years of age (OR = 1.3; p = 0.007). Conclusions: The major determinant of e-cigarette use in this population was prior smoking. Additionally, the results revealed that fairly obvious predictors such as parental smoking and a belief in the less harmfulness of e-cigarette use are important determinants for smoking among never or ever e-cigarette users.

Keywords: young adults; e-cigarette use; predictors of smoking (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/18/11512/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/18/11512/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:18:p:11512-:d:913573

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().