Electronic Cigarette Users’ Reactions and Responses to a Hypothetical Nicotine Concentration Reduction in Electronic Cigarette Liquids

Abstract Background: Regulations limiting nicotine in electronic cigarettes (e-cigarettes) have been proposed or implemented. Little is known about e-cigarette users’ reactions to reducing e-cigarette liquid nicotine concentration. Methods: We used concept mapping to describe e-cigarette users’ reactions to a 50% reduction in the nicotine concentration of their e-cigarette liquids. In 2019, current e-cigarette users who used e-cigarette liquid with greater than 0 mg/ml nicotine concentration completed an online study. Participants (n = 71, mean age = 34.9 (SD = 11.0), 50.7% women), brainstormed statements completing a prompt: “If the e-liquid that I use now in my e-cigarette/vaping device was only available in half the nicotine concentration or amount that I use now, a specific action I would take or a specific reaction I would have is…”, Participants then sorted a final list of 67 statements into piles of similar content and rated statements on how true the statements would be for them. Multidimensional scaling and hierarchical cluster analyses identified thematic clusters. Results: Eight clusters were identified: (1) Replacement Product Seeking, (2) Mental Preparations and Expectations, (3) Use the New Liquid, (4) Information Seeking, (5) Compensation Behaviors, (6) Opportunity for E-Cigarette Reduction, (7) Physical and Psychological Effects, and (8) Replacement with non-E-Cigarette Products and Behaviors. Cluster ratings suggested many participants would search for other e-cigarette products/liquids to replace their current liquids, but using other tobacco products (e.g., cigarettes) may be less likely. Conclusions: If nicotine concentrations were decreased in e-cigarette liquids, e-cigarette users may attempt to purchase different e-cigarette products or modify their products to achieve desired effects.

[1]  P. Fagan,et al.  Electronic cigarette users’ reactions and responses to a hypothetical ban of flavoured electronic cigarette liquids , 2022, Tobacco control.

[2]  N. Saliba,et al.  Assessing toxicant emissions from e-liquids with DIY additives used in response to a potential flavour ban in e-cigarettes , 2022, Tobacco control.

[3]  Corby K. Martin,et al.  Electronic cigarette nicotine flux, nicotine yield, and particulate matter emissions: impact of device and liquid heterogeneity. , 2022, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[4]  Yonghui Li,et al.  The Effects of Immediate vs Gradual Reduction in Nicotine Content of Cigarettes on Smoking Behavior: An Ecological Momentary Assessment Study , 2022, Frontiers in Psychiatry.

[5]  J. Unger,et al.  Electronic cigarette use intensity measurement challenges and regulatory implications , 2021, Tobacco Control.

[6]  P. Fagan,et al.  User-Perceived Negative Respiratory Symptoms Associated with Electronic Cigarette Use , 2020, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[7]  Diane J. Martinez,et al.  Switching to Progressively Reduced Nicotine Content Cigarettes in Smokers with Low Socioeconomic Status: A Double-Blind Randomized Clinical Trial. , 2020, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[8]  N. Saliba,et al.  A comparison of the electrical characteristics, liquid composition, and toxicant emissions of JUUL USA and JUUL UK e-cigarettes , 2020, Scientific Reports.

[9]  E. Soule,et al.  'Open-System’ electronic cigarettes cannot be regulated effectively , 2020, Tobacco Control.

[10]  E. Soule,et al.  Acute effects of JUUL and IQOS in cigarette smokers , 2020, Tobacco Control.

[11]  P. Fagan,et al.  "I cannot live without my vape": Electronic cigarette user-identified indicators of vaping dependence. , 2020, Drug and alcohol dependence.

[12]  C. Delnevo,et al.  Rapid proliferation of illegal pod-mod disposable e-cigarettes , 2020, Tobacco Control.

[13]  A. Breland,et al.  Effects of electronic cigarette heating coil resistance and liquid nicotine concentration on user nicotine delivery, heart rate, subjective effects, puff topography, and liquid consumption. , 2019, Experimental and clinical psychopharmacology.

[14]  Brian A. King,et al.  Patterns of nicotine concentrations in electronic cigarettes sold in the United States, 2013-2018. , 2019, Drug and alcohol dependence.

[15]  Marcella H. Boynton,et al.  Similarities and Differences in Tobacco Control Research Findings From Convenience and Probability Samples. , 2018, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[16]  A. Breland,et al.  Electronic Cigarette User Plasma Nicotine Concentration, Puff Topography, Heart Rate, and Subjective Effects: Influence of Liquid Nicotine Concentration and User Experience , 2017, Experimental and clinical psychopharmacology.

[17]  E. Soule,et al.  Electronic cigarettes: what are they and what do they do? , 2017, Annals of the New York Academy of Sciences.

[18]  N. Saliba,et al.  Transport phenomena governing nicotine emissions from electronic cigarettes: Model formulation and experimental investigation , 2017, Aerosol science and technology : the journal of the American Association for Aerosol Research.

[19]  S. Frank,et al.  Have combustible cigarettes met their match? The nicotine delivery profiles and harmful constituent exposures of second-generation and third-generation electronic cigarette users , 2016, Tobacco Control.

[20]  N. Saliba,et al.  Nicotine and Carbonyl Emissions From Popular Electronic Cigarette Products: Correlation to Liquid Composition and Design Characteristics , 2016, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[21]  A. Breland,et al.  Electronic cigarette nicotine delivery can exceed that of combustible cigarettes: a preliminary report , 2015, Tobacco Control.

[22]  X. S. Yan,et al.  Effects of using electronic cigarettes on nicotine delivery and cardiovascular function in comparison with regular cigarettes. , 2015, Regulatory toxicology and pharmacology : RTP.

[23]  H. McRobbie,et al.  Nicotine intake from electronic cigarettes on initial use and after 4 weeks of regular use. , 2015, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[24]  Cristine D Delnevo,et al.  Smokers’ attitudes and support for e-cigarette policies and regulation in the USA , 2015, Tobacco Control.

[25]  K. Farsalinos,et al.  Nicotine absorption from electronic cigarette use: comparison between first and new-generation devices , 2014, Scientific Reports.

[26]  Jennifer L. Pearson,et al.  Public support for mandated nicotine reduction in cigarettes. , 2013, American journal of public health.

[27]  Sahar Taghavi,et al.  Nicotine Content of Domestic Cigarettes, Imported Cigarettes and Pipe Tobacco in Iran , 2012, Addiction & health.

[28]  Mary Kane,et al.  Quality and rigor of the concept mapping methodology: a pooled study analysis. , 2012, Evaluation and program planning.

[29]  K. Cummings,et al.  Smokers' reactions to FDA regulation of tobacco products: Findings from the 2009 ITC United States survey , 2011, BMC public health.

[30]  T. Eissenberg,et al.  A Clinical Laboratory Model for Evaluating the Acute Effects of Electronic “Cigarettes”: Nicotine Delivery Profile and Cardiovascular and Subjective Effects , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[31]  Thomas Eissenberg,et al.  Electronic nicotine delivery devices: ineffective nicotine delivery and craving suppression after acute administration , 2010, Tobacco Control.

[32]  Donald A. Hantula,et al.  The medium matters: Mining the long-promised merit of group interaction in creative idea generation tasks in a meta-analysis of the electronic group brainstorming literature , 2007, Comput. Hum. Behav..

[33]  K. Dugosh,et al.  Cognitive and social comparison processes in brainstorming , 2005 .

[34]  K. Dugosh,et al.  Cognitive stimulation in brainstorming. , 2000, Journal of personality and social psychology.

[35]  J. Valacich,et al.  Computer brainstorms: More heads are better than one. , 1993 .

[36]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[37]  Michael C. Hout,et al.  Multidimensional Scaling , 2003, Encyclopedic Dictionary of Archaeology.

[38]  Alan R. Dennis,et al.  Electronic brainstorming: Theory, research, and future directions. , 2003 .