Introduction: There has been rising concern about e-cigarette usage among teenagers and young adults. As knowledge about the adverse health effects of e-cigarettes accumulates, it is critical to identify factors that may increase risk of vaping initiation and frequency of use. One potential risk factor known to increase risk for other substance use is impulsivity. This study tested the hypothesis that impulsivity prospectively predicts vaping over time. Methods: Active e-cigarette users (n = 137; 51.8% male; Mean age 20 years at baseline) completed 8 waves of assessment over 21 months (2017-2020). The S-UPPS-P impulse behavior scale was used at baseline to measure impulsivity, and frequency of e-cigarette, cigarette, marijuana and alcohol use was calculated at each wave thereafter. Results: Vaping frequency declined over time [Incidence Rate Ratio (IRR) = 0.92]. There were significant, stable, positive associations between e-cigarette use and lack of premeditation (IRR = 1.06) and sensation seeking (IRR = 1.09). Vaping frequency was inversely associated with negative urgency (IRR = 0.95). Positive urgency and lack of perseverance were not associated with frequency of vaping. Conclusion: These findings suggest that young adults who have higher impulsivity of certain types may use e-cigarettes more frequently. Thus, vaping interventions for young adults should address these factors to ensure the greatest impact on public health.

This study was designed to examine how the COVID-19 pandemic changed e-cigarette user habits and risk perceptions. A nationally distributed 52-item questionnaire assessed nicotine e-cigarette use, perceptions, COVID-19 diagnosis, demographic data, and vaping habits among respondents aged 16-96 years (n = 565). Questions were developed in-house to assess vaping habits of users and risk perceptions of nicotine containing e-cigarette users and non-users both before and during the COVID-19 pandemic. Seventy-six percent of non-users believed that e-cigarette use would lead to worse COVID-19 symptoms, compared to 40% of e-cigarette users (P < 0.001). Twenty-eight percent of non-users also believed that e-cigarette users were more likely to be infected with SARS-CoV-2, versus 11% of e-cigarette users (P < 0.001). Fifty-eight percent of e-cigarette users described themselves as making no change in their e-cigarette usage, 10% decreased e-cigarette use, and 32% increased e-cigarette use during the pandemic. Twenty-five percent of users switched to vaping non-socially during the pandemic (P < 0.001). Sixty-seven percent of e-cigarette users replied that they would decrease or stop vaping if diagnosed with COVID and 31% said they would continue (P < 0.001). These findings reveal there are large differences in risk perception of e-cigarette use between users and non-users. Additionally, our findings characterize the habits of e-cigarette users during the COVID-19 pandemic, revealing users report steady to increased use, more caution in social settings, and would reduce usage if diagnosed with COVID-19.

The COVID-19 pandemic generated large amounts of stress across the globe. While acute stress negatively impacts health, defining exact consequences and behavioral interventions can be difficult. We hypothesized that a generalized increase in stress and anxiety caused by continuation of the global pandemic would negatively impact sleep quality and that ever users of e-cigarettes and conventional tobacco would have more profound alterations over time. Participants were recruited via social media to complete an online survey in April 2020 (n = 554). Inhalant use was assessed through the UCSD Inhalant Questionnaire and sleep quality was gauged through the Pittsburgh Sleep Quality Index (PSQI). A set of participants (n = 217) retook the survey in June 2020. Inhalant users-historical or current e-cigarette vapers, conventional tobacco smokers, and dual users-had higher PSQI scores than never smoker/never vapers, demonstrating worse sleep quality in inhalant users. Non-smoking/non-vaping subjects who retook the survey in June 2020 had improvement in their PSQI scores by paired t test, indicating better sleep quality as the pandemic continued, while inhalant users of all types had persistently high PSQI scores (poor sleep quality). These data suggest that ever users of tobacco products may be susceptible to overall diminished sleep quality in the setting of stressful life circumstances. These data also suggest that pandemic-initiated lifestyle changes may have led to improvements in sleep quality. Finally, these findings raise concerns for correlations between either past or active e-cigarette use on sleep, and thus overall health.