Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.
Anne BuuZhanrui CaiRunze LiSu-Wei WongHsien-Chang LinWei-Chung SuDouglas E JorenbyMegan E PiperPublished in: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2021)
This study provides empirical support for three e-cigarette dependence measures: PS-ECDI, e-FTCD, and e-WISDM, based on dynamic patterns of e-cigarette consumption and craving revealed by EMA data that have great ecological validity. This is the first study that introduces novel indices of dynamic patterns and demonstrates their potential applications in vaping research.