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E-cigarette device and liquid characteristics and E-cigarette dependence: A pilot study of pod-based and disposable E-cigarette users
被引:23
作者:
Do, Elizabeth K.
[1
,2
,3
]
O'Connor, Katie
[1
]
Perks, Siobhan N.
[1
]
Soule, Eric K.
[4
,5
]
Eissenberg, Thomas
[5
]
Amato, Michael S.
[6
,7
]
Graham, Amanda L.
[6
,7
]
Martin, Corby K.
[8
]
Hochsmann, Christoph
[8
]
Fuemmeler, Bernard F.
[2
,9
]
机构:
[1] Truth Initiat, Schroeder Inst, 900 G St NW,Fourth Floor, Washington, DC 20001 USA
[2] Virginia Commonwealth Univ, Dept Hlth Behav & Policy, Richmond, VA 23284 USA
[3] George Washington Univ, Dept Epidemiol, Milken Inst Publ Hlth, Washington, DC USA
[4] East Carolina Univ, Milken Inst, Sch Publ Hlth, Dept Hlth Educ & Promot, Greenville, NC 27858 USA
[5] Virginia Commonwealth Univ, Ctr Study Tobacco Prod, Dept Psychol, Hlth Program, Richmond, VA USA
[6] Truth Initiat Innovat Dept, Washington, DC USA
[7] Mayo Clin, Coll Med & Sci, Dept Med, Rochester, MN USA
[8] Louisiana State Univ Syst, Pennington Biomed Res Ctr, Baton Rouge, LA USA
[9] Virginia Commonwealth Univ, Massey Canc Ctr, Richmond, VA USA
基金:
美国国家卫生研究院;
关键词:
E-cigarette;
Nicotine flux;
Nicotine concentration;
Power;
Nicotine dependence;
NICOTINE DELIVERY;
ELECTRONIC CIGARETTES;
PUFF TOPOGRAPHY;
MODEL;
D O I:
10.1016/j.addbeh.2021.107117
中图分类号:
B849 [应用心理学];
学科分类号:
040203 ;
摘要:
Background: E-cigarette device and liquid characteristics, such as electrical power output and liquid nicotine concentration, determine the rate at which nicotine is emitted from the e-cigarette (i.e., nicotine flux), and thus are likely to influence user nicotine dependence. We hypothesize that nicotine flux would be associated with the E-cigarette Dependence Scale (EDS) among pod-based and disposable e-cigarette products. Methods: Data were obtained from online panel participants between 18 and 65 years of age, who had indicated that they were either former or current e-cigarette users and resided within the United States (N = 1036). To be included in these analyses, participants had to provide information regarding device type (pod-based or disposable), power (watts), and nicotine concentration (mg/mL), from which we could determine nicotine flux (mu g/s) (N = 666). To assess the relationship between nicotine flux and EDS, a series of multivariable linear regressions were conducted. Each model was separated by device type and adjusted for by age and past 30-day ecigarette use. Results: Greater nicotine flux was associated with higher EDS scores among pod-based e-cigarette users (beta = 0.19, SE = 0.09, p-value = 0.043), but not users of disposable e-cigarettes. Neither power nor nicotine concentration were associated with EDS scores among users of either e-cigarette device type. Conclusion: Results support the hypothesis that nicotine flux is positively associated with nicotine dependence in a sample of current users of pod-based and disposable e-cigarettes.
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