Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
Validity of the E-cigarette Wisconsin Inventory of Smoking Dependence Motives in Exclusive E-cigarette Users: Evidence From a Laboratory Self-Administration Study.
СтатьяВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Piasecki Thomas M, Korcarz Claudia E, Hansen Kristin M, Bolt Daniel M, Fiore Michael C, Stein James H, Baker Timothy B
Аннотация
INTRODUCTION: Prior research suggests that the e-Cigarette Wisconsin Inventory of Smoking Dependence Motives (e-WISDM) distinguishes primary (e-PDM) and secondary dependence (e-SDM); however, there is little research on these e-WISDM dimensions and prior research comprised dual users (using cigarettes and e-cigarettes) and those using older generations of e-cigarettes.
AIMS AND METHODS: Exclusive users of contemporary e-cigarettes (N = 164) completed the e-WISDM and a laboratory self-administration session and rated pre-use expectancies and post-use experiences.
RESULTS: Only a 1-factor model limited to the primary scales (Automaticity, Tolerance, Craving, Loss of Control) achieved a good model fit. The e-PDM was correlated with the Penn State Electronic Cigarette Dependence Index (PS-ECDI), r = .79, p < .001. The e-PDM and PS-ECDI were similarly correlated with the use topography and self-reported measures. Analyses of motive profiles identified Taste, Tolerance, and Automaticity as the most strongly endorsed motives in the full sample. Subgroup analyses indicated primary motives were more elevated in daily versus non-daily e-cigarette users and participants with versus without a history of smoking cigarettes. Taste motives were stronger in users of third versus fourth-generation e-cigarettes.
CONCLUSIONS: These findings suggest that the four e-PDM subscales are a concise, reliable, and valid measure of core e-cigarette dependence motives that are related to meaningful dependence attributes.
IMPLICATIONS: Electronic cigarettes (e-cigarettes) are dependence-producing. Instruments that measure e-cigarette dependence are necessary to identify users who may have difficulty quitting e-cigarettes and who are at risk for use-related harms. The four subscales of the e-WISDM PDM index self-reported heavy e-cigarette use, craving, automatic or mindless use, and perceived loss of control over use. The current research supports the validity of the e-WISDM PDM as a measure of core e-cigarette dependence in users of today's e-cigarette devices.
AIMS AND METHODS: Exclusive users of contemporary e-cigarettes (N = 164) completed the e-WISDM and a laboratory self-administration session and rated pre-use expectancies and post-use experiences.
RESULTS: Only a 1-factor model limited to the primary scales (Automaticity, Tolerance, Craving, Loss of Control) achieved a good model fit. The e-PDM was correlated with the Penn State Electronic Cigarette Dependence Index (PS-ECDI), r = .79, p < .001. The e-PDM and PS-ECDI were similarly correlated with the use topography and self-reported measures. Analyses of motive profiles identified Taste, Tolerance, and Automaticity as the most strongly endorsed motives in the full sample. Subgroup analyses indicated primary motives were more elevated in daily versus non-daily e-cigarette users and participants with versus without a history of smoking cigarettes. Taste motives were stronger in users of third versus fourth-generation e-cigarettes.
CONCLUSIONS: These findings suggest that the four e-PDM subscales are a concise, reliable, and valid measure of core e-cigarette dependence motives that are related to meaningful dependence attributes.
IMPLICATIONS: Electronic cigarettes (e-cigarettes) are dependence-producing. Instruments that measure e-cigarette dependence are necessary to identify users who may have difficulty quitting e-cigarettes and who are at risk for use-related harms. The four subscales of the e-WISDM PDM index self-reported heavy e-cigarette use, craving, automatic or mindless use, and perceived loss of control over use. The current research supports the validity of the e-WISDM PDM as a measure of core e-cigarette dependence in users of today's e-cigarette devices.