Nicole E Nicksic1, L Morgan Snell2, Andrew J Barnes3. 1. Center for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States; Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, United States. Electronic address: nenicksic@vcu.edu. 2. Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, United States. 3. Center for the Study of Tobacco Products, Department of Psychology, Virginia Commonwealth University, Richmond, VA, United States; Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, United States.
Abstract
BACKGROUND: While e-cigarette use is increasing, reasons to use e-cigarettes are poorly summarized in the literature. The objective of this study was to organize reasons to use e-cigarette items into factors and determine associations between these factors and e-cigarette user characteristics. METHODS: Data were drawn from youth (12-17) and adults (18+) in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) study. Exploratory factor analysis was conducted on 13 reasons to use survey items from experimental and established adult e-cigarette users and past 30 day youth e-cigarette users to determine two factors - "alternative to cigarettes" and "larger social environment". Weighted linear regression models tested the associations between e-cigarette user group and sociodemographics and reasons to use factors among youth and adults. RESULTS: Adult current established e-cigarette users were associated with both alternative to cigarettes (β = 0.128, p < .001) and larger social environment (β = 0.063, p < .001) factors, while former established e-cigarette users were associated with alternative to cigarettes (β = 0.064, p < .001). Several adult sociodemographic characteristics were associated with one but not the other factor, or both but in opposite directions. Youth that used e-cigarettes earlier today were also associated with both reasons to use factors (β = 0.127-0.130, p < .01, each); however, youth using any other day in the past 30 days was not associated with either factor. CONCLUSIONS: Reasons to use are associated with patterns of e-cigarette use among youth and adults. These factors could support a comprehensive approach to addressing rising e-cigarette use among youth and adults and target certain user populations.
BACKGROUND: While e-cigarette use is increasing, reasons to use e-cigarettes are poorly summarized in the literature. The objective of this study was to organize reasons to use e-cigarette items into factors and determine associations between these factors and e-cigarette user characteristics. METHODS: Data were drawn from youth (12-17) and adults (18+) in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) study. Exploratory factor analysis was conducted on 13 reasons to use survey items from experimental and established adult e-cigarette users and past 30 day youth e-cigarette users to determine two factors - "alternative to cigarettes" and "larger social environment". Weighted linear regression models tested the associations between e-cigarette user group and sociodemographics and reasons to use factors among youth and adults. RESULTS: Adult current established e-cigarette users were associated with both alternative to cigarettes (β = 0.128, p < .001) and larger social environment (β = 0.063, p < .001) factors, while former established e-cigarette users were associated with alternative to cigarettes (β = 0.064, p < .001). Several adult sociodemographic characteristics were associated with one but not the other factor, or both but in opposite directions. Youth that used e-cigarettes earlier today were also associated with both reasons to use factors (β = 0.127-0.130, p < .01, each); however, youth using any other day in the past 30 days was not associated with either factor. CONCLUSIONS: Reasons to use are associated with patterns of e-cigarette use among youth and adults. These factors could support a comprehensive approach to addressing rising e-cigarette use among youth and adults and target certain user populations.
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