Demographic, smoking and vaping data were collected at the first session. Number of puffs were counted for each product tested. At each session, a baseline urge to smoke was rated (before product use) on a scale of 1 to 10, where 1 = no urge at all and 10 = extreme urge. Subsequent ratings were given 5, 10, 15 and 30 min after product initiation.
At all sessions the following questions were asked about the product used (rated on a scale of 1–10): ‘Did it relieve your urge to smoke?’ [not at all = 1, extremely well = 10]; ‘How quickly did any effect happen?’ [very slowly = 1, extremely fast = 10]; ‘How much nicotine do you think it delivered?’ [too little = 1, just right = 5, too much = 10]; ‘Did you like the taste?’ [not at all = 1, extremely = 10]; ‘Was it pleasant to use?’ [not at all = 1, extremely = 10]; ‘How likely would you be to recommend it to friends?’ [not at all = 1, extremely = 10] (the last question was not asked at the OBC session).
Nicotine in blood samples was analysed at ABS Laboratories Ltd., Bio Park (Welwyn Garden City, UK), using capillary column gas chromatography with detection by electron impact mass spectrometry and selected ion monitoring (Jacob III et al. 2011). The PK parameters calculated were maximum nicotine concentration (Cmax), time to the maximum (Tmax) and area under the curve (AUC0 ≥ 30), which is a measure of the total nicotine delivery over 30 min.
Study products
Participants brought their OBC to test at the first session. Juul US (59 mg/ml nicotine content) and Juul EU (20 mg/ml nicotine content) were available with differently labelled tobacco flavours: Virginia Tobacco flavour in the case of Juul US and Golden Tobacco flavour in the case of Juul EU (JUUL Labs).
For the seven participants who previously tested eight traditional EC, tobacco flavour was used with nicotine contents as close to 20 mg/ml as possible, with the exception of Vuse (48 mg/ml), which was the highest nicotine concentration available at the time. The other products tested were five cig-a-likes: Blu (18 mg/ml), Vype (16.8 mg/ml), Puritane (20 mg/ml), E-lites (24 mg/ml) and Gamucci (16 mg/ml) and two refillables: KangerTech EVOD and InnokiniTaste MVP 2 (variable voltage), set to 4.8 V (range = 3.3–5.0 V). The refillable products were tested with the same 20 mg/ml tobacco flavour liquid (see Hajek et al. 2018; Hajek et al. 2017). All products were tested in the same order.
Statistical analysis
PKSolver add-in for Excel version 2.0 (Zhang et al. 2010) was used to calculate Cmax, Tmax and AUC0 ≥ 30, using a non-compartmental analysis and trapezoidal rule (Gabrielsson and Weiner 2001). The post product use blood samples were corrected for baseline nicotine levels.
Differences in post product use blood samples between Juul EU and Juul US and Juul EU and cigarette were analysed using t tests or a non-parametric equivalent when parametric assumptions were not met. We applied the Bonferroni correction for type I error.
Differences in product characteristics between Juul EU and Juul US, Juul EU and refillable EC and Juul EU and cig-a-like EC were analysed using t tests if parametric assumptions were met or Wilcoxon signed-rank test if not. We applied the Bonferroni correction for type I error where required.
Regarding changes in urges to smoke after product use (Juul EU and Juul US), we examined the main effects of Time and Product as well the Time*Product interaction on urges to smoke over the 30-min testing period using a mixed effect model, adjusting for baseline urge scores, with participants treated as the cluster. We also used random slopes and intercepts to account for repeated measures. The Wald test was used to assess the overall significance of Time, product and the Time*Product interaction.
We assessed the normality assumption using the Shapiro-Wilks test and through visual inspection of probability plots. For the mixed effect model, we visually assessed the assumption of homoscedasticity by plotting the standardized residuals against the fitted values. All analyses were performed with SPSS version 25 apart from the mixed-effect regression, which was run in Stata 16.
The project was approved by the QMUL Ethics of Research Committee on 3 April 2018 (QMERC2018/09).