Virtual Assistants' Response to Queries About Nicotine Replacement Therapy: A Mixed-Method Analysis.

This study focused on investigating the potential of Artificial Intelligent-powered Virtual Assistants (VAs) such as Amazon Alexa, Apple Siri, and Google Assistant as tools to help individuals seeking information about Nicotine Replacement Treatment (NRT) for smoking cessation. The researchers asked 40 NRT-related questions to each of the 3 VAs and evaluated the responses for voice recognition. The study used a cross-sectional mixed-method design with a total sample size of 360 responses. Inter-rater reliability and differences between VAs' responses were examined by SAS software, and qualitative assessments were conducted using NVivo software. Google Assistant achieved 100% voice recognition for NRT-related questions, followed by Apple Siri at 97.5%, and Amazon Alexa at 83.3%. Statistically significant differences were found between the responses of Amazon Alexa relative to both Google Assistant and Apple Siri. Researcher 1's ratings significantly differed from Researcher 2's (p = .001), but not from Researcher 3's (p = .11). Virtual Assistants occasionally struggled to understand the context or nuances of questions, lacked in-depth information in their responses, and provided generic or unrelated responses. Virtual Assistants have the potential to be incorporated into smoking cessation interventions and tobacco control initiatives, contingent upon improving their competencies.

Peer Crowds and Tobacco Product Use in Hawai'i: A Qualitative Study.

BACKGROUND: Young adults often derive self-identity from affiliation with peer crowds, which may be defined as reputation-based peer groups centered around characterizable lifestyle norms. Little is known about peer crowds prevalent among Asian American, Native Hawaiian, and other Pacific Islander (AANHPI) populations and the peer crowds' normative tobacco and other substance use behavior. To address this gap in knowledge, this study conducted focus groups with young adult community college students. METHODS: Focus group discussions were conducted with a convenience sample of 42 young adults (Mean age = 21.5, SD = 2.7) recruited across community colleges on O'ahu, Hawai'i. The participants represented 60% women, 55% NHPI, and 29% Asian American. RESULTS: Results indicated the presence of a wide range of peer crowds in the population, which may be classified into the following seven categories prevalent in the literature: Regular, Academic, Alternative, Athlete, Geek, High Risk, and Popular. Several peer crowds within the Alternative, Athlete, Geek, High Risk, and Popular categories appeared to represent subcultures relevant for NHPI young adults. High-risk peer crowds were reported to be vulnerable to different types of substance use. Tobacco product use, particularly e-cigarette use or vaping, was noted to be characteristically present among Popular crowds and certain Athlete crowds. CONCLUSION: Tobacco and other substance use prevention interventions, such as mass media campaigns, may benefit from targeting high-risk peer crowds, especially those relevant for NHPI young adults, who are at high risk for tobacco and other substance use. E-cigarette use prevention interventions may benefit from paying close attention to vulnerable Popular and Athlete groups.

Relationships Between Depressive Symptoms, Anxiety, Impulsivity and Cigarette and E-cigarette Use Among Young Adults.

Depression and anxiety have been associated with cigarette use among young people. Higher impulsivity has also been associated with increased smoking behavior. However, relatively less is known about the associations between depression, anxiety, impulsivity and e-cigarette use and how these associations compare with the associations between depression, anxiety, impulsivity and cigarette smoking. In addition, little is known about how impulsivity influences the relationships between depression, anxiety, cigarette, and e-cigarette use. This study tested the hypothesis that higher depression and anxiety symptoms are associated with higher e-cigarette use and cigarette smoking in a similar way, and that these associations would be stronger among those with higher impulsivity. A sample of 2,622 young adults (18-25 year olds; 54% women) enrolled in 4-year and 2-year colleges in Hawai'i participated in a cross-sectional survey. Approximately 68% of the sample reported no use of either e-cigarettes or cigarettes, 13% reported only e-cigarette use, 9% reported only cigarette smoking, and 11% reported use of both. The study found that higher depressive and anxiety symptoms and higher impulsivity were significantly associated with current cigarette and e-cigarette use. For example, one unit increases in depression, anxiety, and impulsivity were associated with 34%, 17%, and 38% increased odds of e-cigarette use versus non-use, respectively. Impulsivity was found to significantly moderate the association between higher anxiety and higher cigarette smoking, such that the association was stronger among those with higher impulsivity. Impulsivity was not found to moderate any other association. Results suggest that tobacco product use prevention education should target children and young adults with higher internalizing symptoms, with particular attention to those who show higher impulsivity.

Exposure to e-cigarette content on social media and e-cigarette use: An ecological momentary assessment study.

This pilot ecological momentary assessment (EMA) study tested the associations between exposure to anti-e-cigarette content on social media and e-cigarette use behavior. For exposure to anti-e-cigarette posts, participants were asked to follow the study account on Instagram, on which anti-e-cigarette content were posted regularly. In addition, we assessed participants' exposure to pro-e-cigarette content in their daily lives and examined the effects of such exposure on behavior. Participants were 29 diverse young adult current e-cigarette users (18-30 year olds; 54% women), who provided data 3 times daily, for 3 weeks via a mobile phone based EMA application. Relative to no exposure, exposure to anti-e-cigarette content was associated with decreased recent e-cigarette use frequency at the next assessment time-point (p < 0.05; 2-tailed). In addition, a statistically significant concurrent association was found between exposure to pro-e-cigarette content (relative to no exposure) and higher e-cigarette use (p < 0.05; 2-tailed). The current data are some of the first to show that exposure to anti-e-cigarette content on social media may have real time effects on decreased e-cigarette use among young adults as they go about their daily lives. Policies and efforts designed to regulate pro-e-cigarette and promote anti-e-cigarette content on social media may help reduce e-cigarette use among young people.

Tobacco documents research methodology.

Tobacco documents research has developed into a thriving academic enterprise since its inception in 1995. The technology supporting tobacco documents archiving, searching and retrieval has improved greatly since that time, and consequently tobacco documents researchers have considerably more access to resources than was the case when researchers had to travel to physical archives and/or electronically search poorly and incompletely indexed documents. The authors of the papers presented in this supplement all followed the same basic research methodology. Rather than leave the reader of the supplement to read the same discussion of methods in each individual paper, presented here is an overview of the methods all authors followed. In the individual articles that follow in this supplement, the authors present the additional methodological information specific to their topics. This brief discussion also highlights technological capabilities in the Legacy Tobacco Documents Library and updates methods for organising internal tobacco documents data and findings.