RESUMEN
OBJECTIVE: The prevalence of smoking combustible cigarettes has decreased, but rates of nicotine vaping among adolescents and young adults have increased dramatically. Vaping is associated with acute health problems and exposes users to toxic metals with unknown long-term consequences. Research on factors inï¬uencing vaping is needed to inform the development of effective prevention and intervention methods. Nicotine vaping expectancies, or expected effects related to vaping, may be an important target as they can predict vaping behaviors. The purpose of this study was to examine nicotine expectancy activation patterns with corresponding nicotine vaping behaviors. METHOD: Using methods from alcohol expectancy research, we applied a memory model approach to identifying nicotine vaping expectancies and modeling organization and activation patterns concerning the frequency of nicotine vaping. We created a memory model-based nicotine expectancy measure based on information from 200 adolescents in 8th and 12th grades, and college students. Our expectancy measure was completed by a second sample of 862 college students. RESULTS: We mapped expectancies into network format using Individual Differences Scaling (INDSCAL) and we modeled likely paths of expectancy activation using Preference Mapping (PREFMAP). Nonusers primarily emphasized a positive-negative expectancy dimension and were more likely to activate expectancies of negative internal experiences about vaping. Students who vaped nicotine daily or almost daily primarily emphasized an external appearance-internal experience expectancy dimension and were more likely to activate expectancies of negative affect reduction and withdrawal relief. CONCLUSIONS: Our results identify speciï¬c targets for expectancy-based prevention and intervention methods that have the potential to be as effective as similar approaches to preventing and reducing alcohol use.