Online interest for electronic cigarettes using Google Trends in the UK / Zainah Sindhoo (2023)  

Public Titre : Online interest for electronic cigarettes using Google Trends in the UK : a correlation analysis Type de document : document électronique Auteurs : Zainah Sindhoo, Auteur ; Shayaan Sindhoo, Auteur ; Abhishek Ghosh, Auteur Editeur : Londres [Royaume-Uni] : Taylor et Francis Année de publication : 2023 Collection : Substance Use & Misuse Importance : 8 p. Présentation : graph. Langues : Anglais (eng) Catégories : [DIVERS] géographie:Europe:Europe occidentale:Royaume-Uni [TABAC] CANDIDATS:e-cigarette [TABAC] étude:statistique Index. décimale : TA 1.1.1 Cigarettes (« normales », électroniques, aromatisées,…) Résumé : Background: Google Trends provides an easily accessible and cost-effective method of providing real-time insight into user interest. Objective: to address the gap in UK prevalence data for e-cigarettes by analyzing Google Trends to identify correlations with official data from Action on Smoking and Health. The study further evaluates Google Trend’s sensitivity to real-time events and the ability for predictive models to forecast future data based on Google Trends. Methods: UK Google Trends data from 2012 to 2021 was analyzed to assess (a) the most popular electronic nicotine device terminology; (b) statistically significant points in time; (c) correlations between Relative Search Volumes and official reports on electronic cigarette use and (d) whether Google Trends could predict future patterns in data. These were achieved using Locally Weighted Scatterplot Smoothing regression, Pruned Exact Linear Time Method, cross correlation, and Autoregressive Integrated Moving Average algorithms respectively. Results: “Vape” was revealed to be the most popular electronic nicotine device terminology with a correlation coefficient greater than +0.9 when compared to official electronic cigarette consumption data within a one-year timescale (lag 0). Results from ARIMA modeling were varied with the algorithms forecasted trends line occasionally lying outside of a 95% prediction interval. Conclusion: Google Trends may correspond to population-based prevalence of electronic cigarette use. The changing trends coincide with changing policy decisions. Google Trends based prediction for online interest in electronic cigarettes requires further validation so should currently be used in conjunction with other traditional methods of data collections En ligne : https://doi.org/10.1080/10826084.2023.2247056 Format de la ressource électronique : Article en ligne Permalink : https://biblio.fares.be/opac_css/index.php?lvl=notice_display&id=10280

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Subjective experiences of the addictive potential of e-cigarettes / Marike Andreas (2023)  

Public Titre : Subjective experiences of the addictive potential of e-cigarettes : results from focus group discussions Type de document : document électronique Auteurs : Marike Andreas, Auteur ; Nadja Grundinger, Auteur ; Nadine Wolber, Auteur Editeur : Londres [Royaume-Uni] : Taylor et Francis Année de publication : 2023 Collection : Addiction Research & Theory num. 32(6) Importance : p. 432-439 Présentation : ill., tab. Langues : Anglais (eng) Catégories : [TABAC] chimie du tabac:tabac fumé:cigarette:cigarette électronique [TABAC] étude [TABAC] tabagisme:aspect psychologique:comportement:addiction [TABAC] tabagisme:effet du tabac:altération des fonctions sensorielles:altération du goût Index. décimale : TA 4.1.1 Facteurs prédictifs du tabagisme (génétique inclus) Résumé : Background Electronic cigarettes (e-cigarettes) have specific properties, such as their taste, vapor, or technicality, which might facilitate experiences of addiction. In this study, we aimed to investigate the subjective experience of the addictive potential of e-cigarettes using qualitative methodology. Method We conducted semi-structured focus groups with adult e-cigarette users to discuss subjective experiences of addiction. Informed by Braun and Clarke’s approach to thematic analysis, we conducted a deductive-inductive analysis in MAXQDA. First, deductive codes were based on the 10 domains of e-cigarette addiction previously identified by Bold and colleagues. Second, we inductively coded those e-cigarette properties that were identified by users to have addictive potential. Results We conducted five focus group discussions with a total of 14 e-cigarette users (8 male, 6 female). Subjective experiences of e-cigarette addiction discussed by focus group participants accorded with domains of e-cigarette addiction as defined by Bold and colleagues. For example, users reported automatic use, craving, or sensory dependence. The only domains not reported were preference over competing rewards and impaired control. Second, we inductively identified three central properties of the addictive potential of e-cigarettes: unlimited usability, unobtrusiveness, and pleasant taste. Conclusion Our findings were summarized in the Model of the Addictive Potential of E-cigarettes (MAPE). Understanding which e-cigarette properties lead to subjective experiences of addiction can inform cessation programs for those who want to quit as well as the refinement of measures to assess e-cigarette addiction. En ligne : https://doi.org/10.1080/16066359.2023.2288831 Format de la ressource électronique : Article en ligne Permalink : https://biblio.fares.be/opac_css/index.php?lvl=notice_display&id=10579

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