Factors Associated with Quit Interest and Quit Attempts among Young Adult Juul Users
Bibliographic Data
| ID | 15472804 |
|---|---|
| Authors | Mahmood A Alalwan (0000-0001-6594-4107, The Ohio State University, corresponding author), Jill M Singer (0000-0002-0673-6153, The Ohio State University), Megan E Roberts (0000-0003-4743-2145, The Ohio State University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 3 |
| Pages | 1403-1403 |
| Publication date | 2022-01-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19031403 |
| PMID | 35162426 |
| OpenAlex | W4210808834 |
| Language | EN |
| Citations received | 3 |
| References cited | 24 |
Despite reports suggesting young people are interested in quitting e-cigarettes, little work has examined predictors of quit outcomes. This study aimed to identify factors associated with quit outcomes among JUUL e-cigarette users in a longitudinal sample of young adults. We assessed undergraduate past-30-day JUUL users during autumn 2018 ( N = 225); Our outcomes included short-term quit attempts and interest (spring 2019), and long-term quit attempts (spring 2020). We used logistic regression to examine the associations between our outcomes and JUUL use characteristics, other tobacco use, and sociodemographic factors. Findings indicated 76% of users were interested in quitting JUUL, and more than 40% reported a quit attempt. Quit outcomes were not related to sociodemographics. Short-term quit outcomes were more likely among freshmen and less likely among recent cigarillo users. Heavy JUUL users were more likely to report short- and long-term quit attempts, but JUUL device owners were less likely to report short- and long-term quit attempts. Higher nicotine dependence reduced the likelihood of a long-term quit attempt. There is a need for policy level actions that address tobacco control among this population. Findings suggest a range of unique factors that can inform such policies and programs to curb young adult e-cigarette use
Developmental psychology · Environmental health · Logistic regression · Longitudinal sample · Longitudinal study · Population · Public health · Quit smoking · Smoking cessation · Sociology · Tobacco control · Young adult · Air Quality and Health Impacts · Demography · Medicine · Nursing · Psychology · Smoking Behavior and Cessation · Gerontology
Applied Logistic Regression
Vital Signs
Purposeful selection of variables in logistic regression
E-cigarette Use Among Middle and High School Students — United States, 2020
Electronic Cigarette Cessation among Adolescents and Young Adults
What You See May Not Be What You Get
Vaping versus Juuling
Evaluating how licensing-law strategies will impact disparities in tobacco retailer density
Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey
Retailer density reduction approaches to tobacco control
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |