| Résumé : |
E-cigarettes are the second most used nicotine/tobacco product. Given growing evidence that many adults who use e-cigarettes want to quit e-cigarettes, it is essential to begin to understand patterns of e-cigarette use and cessation behavior, as a step toward developing e-cigarette cessation interventions for the millions of adults who use e-cigarettes who may want or require cessation interventions. The current study aimed to :
1) characterize patterns of e-cigarette use, cessation behavior, and putative contextual, person-level, and product-specific antecedents of quit attempts and
2) examine the association between variability in these contextual (i.e., non-nicotine substance use), person-level (i.e., mood, pain, fatigue, cravings, confidence in ability to quit, importance of quitting, readiness to quit, commitment to quitting e-cigarettes, intention to quit e-cigarettes), and product-specific (i.e., e-liquid flavor) factors and concurrent or near-term subsequent e-cigarette quit attempts.
Participants (N = 107) included adults (18-60) who reported current daily e-cigarette use and interest in quitting e-cigarettes within the next 30 days. Participants were sent five brief surveys per day for 30 days. Multi-level logistic regression was used to examine associations between variability in contextual, person-level, and product-specific factors and odds of making a quit attempt during the same day and subsequent days. Sixty-five percent of the sample reported a quit attempt during the study period. Increased confidence in quitting tomorrow and increased intention to quit tomorrow, compared to one’s average levels increased their odds of making a quit attempt the next day (p < .01). Increased fatigue and pain, relative to one’s own average, were associated with reduced likelihood of making a quit attempt (p <.01). There was no significant effect of non-nicotine substance use or e-liquid flavor on concurrent or near-term future attempts to quit e-cigarettes.
Findings from the current study add to the growing literature suggesting that people who use e-cigarettes are initiating quit attempts. The current study has the potential to inform the development or refinement of e-cigarette cessation interventions by identifying risk factors (e.g., fatigue, pain) for continued e-cigarette use and the optimal timing (e.g., in the hours/day prior to a quit attempt) of intervention delivery. |