Changes in knowledge, perceptions and use of JUUL among a cohort of young adults

JUUL preference among Korean adult tobacco users and its effect on attempts to quit tobacco: A follow-up survey four months post JUUL launch

INTRODUCTION

This study examined the various factors in the selection of JUUL (and/or), a pod-mod type electronic cigarette (EC), and the changes in EC patterns before and after the JUUL debut on 24 May 2019, using follow-up survey data of adult tobacco users in South Korea.

METHODS

This study examined transition outcomes among tobacco users and factors associated with future JUUL use. Convenience sample data were collected from adult tobacco users in South Korea, from March-April 2019 (baseline, n=2173) to September 2019 (follow-up, n=779). Results were obtained from the 779 respondents in the follow-up survey, and user data of one or more tobacco products were analyzed. The changes in the proportion of EC and JUUL use during this period were calculated, and multivariate logistic regression analysis was conducted to investigate the selection factors of JUUL.

RESULTS

Four months after the JUUL launch, the proportion of current EC and JUUL users among the whole sample increased by 10.3% (42.6-52.9%, p<0.001) and 17.7 % (4.0-21.7%, p<0.001), respectively, while the proportion of triple users doubled (18.7% vs 37.5%, p<0.001). Among current EC users, the percentage of quitting EC within one month decreased from 18.7% to 8.7%; this change was more pronounced among concurrent JUUL users than non-JUUL users (p<0.001). In the multivariate logistic analysis with adjustment for possible confounders, JUUL use was significantly associated with male sex, young and middle age, and metropolitan residency status at the baseline survey.

CONCLUSIONS

After the launch of JUUL in South Korea, EC users, including JUUL and triple users, increased significantly, but the intention to stop EC decreased significantly. Given the serious interests of the tobacco industry in these products, additional regulation is warranted.

Pharmacological and physiological response in Apoe-/- mice exposed to cigarette smoke or e-cigarette aerosols

OBJECTIVE

Electronic cigarettes (e-cigs) are popular nicotine delivery devices, yet the health effects remain unclear. To determine equivalent biomarkers, we characterized the immediate response in Apoe^-/- mice exposed to tank/box-mod e-cig (e-cig_tank), pod e-cig (e-cig_pod), or cig smoke.

MATERIALS AND METHODS

Reproducible puff profiles were generated for each aerosol and delivered to Apoe^-/- mice via a nose-only exposure system. Serum cotinine levels were quantified at various time points through ELISA and utilized to model cotinine pharmacokinetics. In addition, particle size measurements and mouse respiratory function were characterized to calculate particle dosimetry.

RESULTS AND DISCUSSION

Cig and e-cig_tank particles were lognormally distributed with similar count median diameters (cig: 178 ± 2, e-cig_tank: 200 ± 34nm), while e-cig_pod particles were bimodally distributed and smaller (116 ± 13 and 13.3 ± 0.4 nm). Minute volumes decreased with cig exposure (5.4 ± 2.7 mL/min) compared to baseline (90.8 ± 11.6 mL/min), and less so with e-cig_tank (45.2 ± 9.2 mL/min) and e-cig_pod exposures (58.6 ± 6.8 mL/min), due to periods of apnea in the cig exposed groups. Cotinine was absorbed and eliminated most rapidly in the e-cig_pod group (tmax = 14.5; t1/2' = 51.9 min), whereas cotinine was absorbed (cig: 50.4, e-cig_tank: 40.1 min) and eliminated (cig: 104.6, e-cig_tank: 94.1 min) similarly in the cig and e-cig_tank groups. For exposure times which equate the area under the cotinine-concentration curve, ∼6.4× (e-cig_tank) and 4.6× (e-cig_pod) more nicotine deposited in e-cig compared to cig exposed mice.

CONCLUSIONS

This study provides a basis for incorporating cotinine pharmacokinetics into preclinical exposure studies, allowing for longitudinal studies of structural and functional changes due to exposure.

The association between vaping and health behaviors among undergraduate college students in the United States

Objective: To examine the association between vaping and health behaviors (physical activity, fruit and vegetable consumption, sleep, cigarette use, alcohol consumption) and mental health among college students. Methods: Socio-demographic characteristics, vaping, health behaviors, perceived stress, and depressive symptoms of undergraduates enrolled at a large university located in the Northeast of the United States were assessed via an online survey. Results: Of all participants (n = 1775), less than a fifth (n = 314, 17.7%) reported any vaping in the past month. More men reported vaping than women (23.2% vs. 14.5%). Those who vaped reported fewer nights of restful sleep and greater alcohol consumption. Those who smoked and binge drank were more likely to report vaping. Perceived stress was greater among women who vaped, and depressive symptoms were greater among those who vaped regardless of gender. Conclusions: Vaping was associated with smoking, alcohol consumption, and poorer mental health among young adults.

Harm perceptions, JUUL dependence, and other tobacco product use among young adults who use JUUL

INTRODUCTION

The study identified groups of JUUL using young adults based on their use patterns and compared harm perceptions, JUUL dependence, and other tobacco product use among these groups.

METHODS

Online cross-sectional survey data were gathered in March 2019 from 667 undergraduate students who used JUUL weekly (50.4% females, average age: 20.3 years) at a southwest U.S. university.

RESULTS

Latent class analysis identified four groups of young adults who used JUUL: 1) Light Social JUUL Using Young Adults (LS, 52.5%) who used JUUL occasionally with friends when drinking alcohol, 2) Daily Sensation Seekers (DSS, 16.2%) who used JUUL daily with alcohol, 3) Daily Activity Driven JUUL Using Young Adults (DAD, 26.0%) who used JUUL daily while drinking, watching media, or studying, and 4) Daily All Occasion JUUL Using Young Adults (DAO, 5.3%) who used JUUL heavily, daily and in various occasions. While all four groups reported some extent of JUUL dependence, DAO reported the highest dependence and were more likely than LS to have used cigarettes and other e-cigarettes besides JUUL. They also tended to believe different pod flavors could cause different types of lung damage while the other groups were unsure/disagreed with this belief. LS were more likely than DSS and DAD to believe that JUUL use indicated openness to new experiences.

CONCLUSION

Young adults with different JUUL use patterns perceived JUUL harms differently and faced varied risks of JUUL dependence and other tobacco product use. Effective cessation interventions should be adapted to meet the needs of these groups.

"Don't Know" Responses for Nicotine Vaping Product Features among Adult Vapers: Findings from the 2018 and 2020 ITC Four Country Smoking and Vaping Surveys

Nicotine vaping products (NVPs) have evolved rapidly, and some vapers have difficulty reporting about their NVP. NVP knowledge may be important for providing accurate survey data, understanding the potential risks of NVP use, and assessing legal and regulated products. This paper examines current vapers who responded “don’t know” (DK) regarding their NVP features. Data are from adult daily/weekly vapers in Waves Two (2018, n = 4192) and Three (2020, n = 3894) of the ITC Four Country Smoking and Vaping Survey. Analyses assessed DK responses for NVP features (e.g., type/appearance, nicotine) and consumption. A DK index score was computed based on the percent of all features with DK responses, which was tested for associations with demographics, smoking/vaping status, NVP features, purchase location, and knowledge of NVP relative risks. NVP description and appearance were easily identified, but DK was more common for features such as nicotine content (7.3–9.2%) and tank/cartridge volume capacity (26.6–30.0%). DK responses often differed by vaping/smoking status, NVP type/appearance, purchase location, and country. Vapers who are younger, use box-shaped NVPs, purchase online, and exclusive daily vapers were associated with lower DK index scores. Higher DK index scores were associated with poorer knowledge of relative health risks of NVP use. The diversity of the NVP market and wide variation in how products are used makes it challenging to capture information from users about device features, such as nicotine content and capacity, in population surveys.