Pallav Pokhrel1, Melissa A Little2, Pebbles Fagan2, Nicholas Muranaka2, Thaddeus A Herzog2. 1. Cancer Prevention and Control Program, University of Hawaii Cancer Center, 701 Illalo St., Honolulu, HI 96822, United States. Electronic address: ppokhrel@cc.hawaii.edu. 2. Cancer Prevention and Control Program, University of Hawaii Cancer Center, 701 Illalo St., Honolulu, HI 96822, United States.
Abstract
BACKGROUND: E-cigarette use outcome expectancies and their relationships with demographic and e-cigarette use variables are not well understood. Based on past cigarette as well as e-cigarette use research, we generated self-report items to assess e-cigarette outcome expectancies among college students. The objective was to determine different dimensions of e-cigarette use expectancies and their associations with e-cigarette use and use susceptibility. METHODS: Self-report data were collected from 307 multiethnic 4- and 2-year college students [M age=23.5 (SD=5.5); 65% Female; 35% current cigarette smokers] in Hawaii. Data analyses were conducted by using factor and regression analyses. RESULTS: Exploratory factor analysis among e-cigarette ever-users indicated 7 factors: 3 positive expectancy factors (social enhancement, affect regulation, positive sensory experience) and 4 negative expectancy factors (negative health consequences, addiction concern, negative appearance, negative sensory experience). Confirmatory factor analysis among e-cigarette never-users indicated that the 7-factor model fitted reasonably well to the data. Being a current cigarette smoker was positively associated with positive expectancies and inversely with negative expectancies. Higher positive expectancies were significantly associated with greater likelihood of past-30-day e-cigarette use. Except addiction concern, higher negative expectancies were significantly associated with lower likelihood of past-30-day e-cigarette use. Among e-cigarette never-users, positive expectancy variables were significantly associated with higher intentions to use e-cigarettes in the future, adjusting for current smoker status and demographic variables. CONCLUSIONS: E-cigarette use expectancies determined in this study appear to predict e-cigarette use and use susceptibility among young adults and thus have important implications for future research.
BACKGROUND: E-cigarette use outcome expectancies and their relationships with demographic and e-cigarette use variables are not well understood. Based on past cigarette as well as e-cigarette use research, we generated self-report items to assess e-cigarette outcome expectancies among college students. The objective was to determine different dimensions of e-cigarette use expectancies and their associations with e-cigarette use and use susceptibility. METHODS: Self-report data were collected from 307 multiethnic 4- and 2-year college students [M age=23.5 (SD=5.5); 65% Female; 35% current cigarette smokers] in Hawaii. Data analyses were conducted by using factor and regression analyses. RESULTS: Exploratory factor analysis among e-cigarette ever-users indicated 7 factors: 3 positive expectancy factors (social enhancement, affect regulation, positive sensory experience) and 4 negative expectancy factors (negative health consequences, addiction concern, negative appearance, negative sensory experience). Confirmatory factor analysis among e-cigarette never-users indicated that the 7-factor model fitted reasonably well to the data. Being a current cigarette smoker was positively associated with positive expectancies and inversely with negative expectancies. Higher positive expectancies were significantly associated with greater likelihood of past-30-day e-cigarette use. Except addiction concern, higher negative expectancies were significantly associated with lower likelihood of past-30-day e-cigarette use. Among e-cigarette never-users, positive expectancy variables were significantly associated with higher intentions to use e-cigarettes in the future, adjusting for current smoker status and demographic variables. CONCLUSIONS: E-cigarette use expectancies determined in this study appear to predict e-cigarette use and use susceptibility among young adults and thus have important implications for future research.
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