E-cigarette use was associated with future cigarette use across 3 longitudinal waves, yet cigarette use was not associated with future e-cigarette use. Future research needs to examine mechanisms through which e-cigarette use leads to cigarette use. E-cigarette regulation and prevention programs may help prevent future use of cigarettes among youth.

BACKGROUND: Longitudinal research is needed to identify predictors of continued electronic cigarette (e-cigarette) use among youth. We expected that certain reasons for first trying e-cigarettes would predict continued use over time (eg, good flavors, friends use), whereas other reasons would not predict continued use (eg, curiosity).

IntroductionMany e-cigarette users find the variety of e-cigarette flavors appealing. We examined whether preferences for e-liquid flavors and the total number of flavors preferred differed between samples of adolescent and adult e-cigarette users. We also examined whether these preferences were associated with e-cigarette use frequency for adolescents or adults, respectively.Materials and methodsThe analytic samples comprised 1) 396 adolescent, past-month e-cigarette users from 5 Connecticut high schools who completed an anonymous, school-based survey in Fall 2014 (56.1% male; 16.18 [1.18] years; 42.2% past-month smokers), and 2) 590 adult, past-month e-cigarette users who completed an anonymous, MTurk survey in Fall 2014 (53.7% male; 34.25 [9.89] years; 51.2% past-month smokers).ResultsCompared to adults, a larger proportion of adolescents preferred fruit, alcohol, and “other”-flavored e-liquids, whereas adults disproportionately preferred tobacco, menthol, mint, coffee, and spice-flavored e-liquids (p-values < .05). Adults also preferred a greater total number of flavors compared to adolescents and used e-cigarettes more frequently (p-values < .001). Flavor preferences uniquely were associated with frequency of e-cigarette use within the adolescent sample; the total number of flavors preferred was associated with more days of e-cigarette use (ηp2 = 0.04), as were preferences for fruit (ηp2 = 0.02), dessert (ηp2 = 0.02), and alcohol-flavored (ηp2 = 0.02) e-liquids.ConclusionsFlavor preferences differed between adolescent and adult samples. While youth reported less frequent e-cigarette use overall, their preferences for specific flavors and the total number of flavors preferred were associated with more days of e-cigarette use, indicating that flavor preferences may play an important role in adolescent e-cigarette use.

clinicaltrials.gov Identifier: NCT01553136.

Aims Ecological Momentary Assessment (EMA) captures real-time reports in subjects’ natural environments. This experiment manipulated EMA frequency to estimate effects on abstinence and peri-cessation subjective experiences. Design In this randomized trial, subjects had an equal chance of being assigned to low-frequency (once) or high-frequency (6 times) daily EMA for 4 weeks (1 week pre- and 3 weeks post-cessation). Participants completed 6 office visits over 5 weeks and 6- and 12-week follow-up telephone interviews. Setting Community participants were recruited from central New Jersey, USA. Participants 110 adult daily smokers seeking to quit smoking were included in intent-to-treat analyses of tobacco abstinence; 94 were available for secondary analyses of peri-cessation subjective ratings. Measurements Primary outcomes were cessation (abstaining at least 24 hours within 2 weeks of attempting to quit) and prolonged abstinence (no relapse between weeks 2 and 12 post-quit). Secondary outcomes were mean levels and growth in ratings of cigarette craving, affect, and quitting motivation and self-efficacy. Findings EMA frequency was unrelated to cessation (Odds Ratio=1.37, 95% CI=0.60–3.10) or prolonged abstinence (Odds Ratio=1.04, 95% CI=0.45–2.39) in intent-to-treat analyses. High-frequency EMA was associated with lower craving (B=−.54, SE=.18, p=.004, anxiety (B=−.42, SE=.17, p=.015), anger (B=−.47, SE=.14, p=.001), hunger (B=−.39, SE=.17, p=0.25), and positive affect (B=−.43, SE=.20, p=.03). Conclusions In smokers trying to quit, more frequent ecological momentary assessment (EMA) self-monitoring results in lower craving, anxiety, anger, hunger, and positive affect. It is not clear whether this translates into higher rates of smoking abstinence.