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.

Young adult peer crowds, e-cigarette advertising exposure, and e-cigarette use: Test of a mediation model.

BACKGROUND: Young people often make lifestyle choices or engage in behaviors, including tobacco product use, based on the norms of peer crowds they affiliate with. Peer crowds are defined as reputation-based peer groups centered around lifestyle norms (e.g., Hipster, Surfer, Hip Hop). This study examined the effects of peer crowd affiliation on e-cigarette use via increased exposure to e-cigarette advertising and increased social network e-cigarette use. METHOD: Data were collected from 1398 ethnically diverse young adults (Mean age = 22.3; SD = 3.2; 62% women) in six-month intervals over one year. Path analyses were used to test a mediation model in which advertising exposure and social network e-cigarette use at six-month follow-up were specified to mediate the effects of baseline peer crowd affiliation on current e-cigarette use at one-year follow-up. RESULTS: Affiliations with Popular-Social and Alternative peer crowds at baseline were associated with higher e-cigarette advertising exposure at six-month follow-up. Affiliation with Popular-Social peer crowd at baseline was associated with increased social network e-cigarette use at six-month follow-up. Affiliation with Popular-Social peer crowds at baseline was found to have a statistically significant indirect effect on increased e-cigarette use at one-year follow-up via increased e-cigarette advertising exposure at six-month follow-up. CONCLUSIONS: Better understanding Popular-Social peer crowds may be highly relevant for development of tailored media and other interventions for e-cigarette use prevention among young adults.

Cannabis use among cancer patients and survivors in the United States: a systematic review.

BACKGROUND: How cannabis products are being used by cancer patients and survivors in the United States is poorly understood. This study reviewed observational data to understand the modes, patterns, reasons, discontinuation, and adverse experiences of cannabis use. METHODS: PubMed and PsycINFO database searches were conducted between May 2022 and November 2022. Of the 1162 studies identified, 27 studies met the inclusion criteria. The intercoder agreement was strong (0.81). RESULTS: The majority (74%) of the studies were cross-sectional in design. Study samples were approximately equal proportions of men and women and majority White participants. The prevalence of cannabis use based on national samples ranged between 4.8% and 22%. The most common modes of cannabis intake were topical application (80%), smoking (73%), vaping (12%), and ingestion of edible products (10%). Younger age, male gender, being a current or former smoker, and higher socioeconomic status were associated with greater likelihood of cannabis use. The main motive for cannabis use was management of symptoms due to cancer or cancer treatment such as pain, nausea, lack of sleep, and anxiety. A majority of the participants across studies reported that cannabis helped reduce these symptoms. Lack of symptom improvement, side effects such as fatigue and paranoia, cost, and social stigma were identified as some of the reasons for discontinuing cannabis use. CONCLUSIONS: It appears that cannabis may help cancer patients and survivors manage symptoms. However, more longitudinal studies are needed to determine whether positive experiences of cannabis use outweigh adverse experiences over time in this vulnerable population.

A systematic review of experimental and longitudinal studies on e-cigarette use cessation.

BACKGROUND: The present study addresses the need to synthesize the findings in the current literature on e-cigarette use cessation. METHODS: PubMed, MEDLINE, and EMBASE databases were searched in November 2022 to systematically review studies focused on intentions, attempts, and successful e-cigarette use cessation. Three authors independently reviewed the full-texts of the initial pool of potentially eligible articles. Narrative data synthesis was conducted, and the risk of bias was evaluated. RESULTS: A total of 12 studies were selected for review, 7 of which were experimental and 5longitudinal. The majority of the studies focused on participants' intentions to quit e-cigarette use. The experimental studies varied in sample size, intervention type, and length of participant follow-up. Findings across the experimental studies were mixed, with only one full-fledged trial having examined cessation as an outcome. The experimental studies that assessed cessation outcomes utilized mobile technology as an intervention tool. Results from longitudinal studies indicated sociodemographic characteristics (gender, race/ethnicity), vaping frequency, and cigarette smoking status as predictors of intentions, attempts and e-cigarette use cessation. CONCLUSION: This review highlights the current paucity of methodologically rigorous research on e-cigarette use cessation. Our findings suggest that vaping cessation programs that employ mobile health technology to provide personalized cessation services may help promote intentions, attempts, and e-cigarette use cessation. Limitations of the current studies on vaping cessation include small sample sizes, heterogeneous cohorts that limit comparisons, and inconsistent ways of assessing vaping cessation. Future research needs to test long-term intervention effects using experimental and prospective designs among representative samples.

Exploring the ChatGPT platform with scenario-specific prompts for vaping cessation.

OBJECTIVE: To evaluate and start a discussion on the potential usefulness of applying Artificial Intelligence (AI)-driven natural language processing technology such as the ChatGPT in tobacco control efforts, specifically vaping cessation. METHOD: Ten real-world questions about vaping cessation were selected from a Reddit forum and used as ChatGPT prompts or queries. Content analysis was performed on the ChatGPT responses to identify the thematic aspects of vaping cessation support represented in the responses. Next, the responses were empirically evaluated by five experts in tobacco control on accuracy, quality, clarity, and empathy. RESULT: The following themes related to vaping cessation support were identified: understanding nicotine withdrawal symptoms, self-regulation, peer support, motivational support, and Nicotine Replacement Therapy (NRT). The experts judged the ChatGPT responses to be 'satisfactory' to 'excellent' in areas of accuracy, quality, clarity, and empathy. CONCLUSION: If managed by a group of experts, including clinicians, and behavioral and computer scientists, a platform such as the ChatGPT may be leveraged to design tailored interventions for tobacco use cessation, including vaping cessation.

Investigating #vapingcessation in Twitter.

Evidence suggests that an increasing number of e-cigarette users report intentions and attempts to quit vaping. Since exposure to e-cigarette-related content on social media may influence e-cigarette and other tobacco product use, including potentially e-cigarette cessation, we aimed to explore vaping cessation-related posts on Twitter by utilizing a mixed-methods approach. We collected tweets pertaining to vaping cessation for the time period between January 2022 and December 2022 using snscrape. Tweets were scraped for the following hashtags: #vapingcessation, #quitvaping, and #stopJuuling. Data were analysed using Azure Machine Learning and Nvivo 12 software. Sentiment analysis revealed that vaping cessation-related tweets typically embody positive sentiment and are mostly produced in the U.S. and Australia. Our qualitative analysis identified six emerging themes: vaping cessation support, promotion of vaping cessation, barriers and benefits to vaping cessation, personal vaping cessation, and usefulness of peer support for vaping cessation. Our findings imply that improved dissemination of evidence-based vaping cessation strategies to a broad audience through Twitter may promote vaping cessation at the population level.

Ethnicity, Coronavirus Disease-Related Stress, and E-cigarette Use and Cigarette Smoking Among Young Adults: A Longitudinal Study.

INTRODUCTION: Research has rarely examined ethnic differences in exposure to coronavirus disease (COVID)-related stress in relation to smoking and e-cigarette use. AIMS AND METHODS: Using pre- and post-COVID data from a sample of predominantly Asian American (AA) and Native Hawaiian and Pacific Islander (NHPI) young adults, this study aimed to test the effects of ethnicity on cigarette smoking and e-cigarette use through exposure to COVID-related stress. Young adults from Hawaii who provided pre-COVID data in or before January 2020 were followed up with in March-May 2021. N = 1907 (mean age = 24.9 [SD = 2.9], 56% women) provided complete data relevant to the current analysis at both waves of data collection. Structural equation modeling was used to test the effects of ethnicity (white, Asian [eg, Japanese, Chinese], Filipino, NHPI, and other) on pre- to post-COVID changes in cigarette and e-cigarette use via effects on COVID-related stress. RESULTS: Relative to Asian young adults, members of all other ethnic groups (NHPI, Filipino, white, and other) indicated greater exposure to COVID-related stress. Higher levels of COVID-related stress were associated with increased dual-use status and increased current e-cigarette and cigarette use frequencies. Higher COVID-related stress mediated the effects of NHPI, Filipino, and other ethnicity on increased dual-use status. CONCLUSIONS: The current data indicate that young adults of vulnerable ethnic groups who experience higher COVID-related stress are at increased risk for dual use of cigarettes and e-cigarettes. IMPLICATIONS: The findings imply that tobacco use prevention and treatment efforts may need to pay increased attention to racial or ethnic groups that have experienced greater adverse impact of the COVID-19 pandemic.

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.

Social connections influencing e-cigarette use and intentions in Australia: a survey.

Social factors play a role in e-cigarette uptake, but Australian evidence is limited. This study evaluated associations between social factors and e-cigarette intention and use.Australian participants surveyed between March 2019 and July 2019 using a cross-sectional survey design, measuring e-cigarette intentions and use, and factors including smoking status and social acceptability.Of 243 respondents, 185 were included in the final analysis, measuring e-cigarette intention and use, and factors including smoking status and social acceptability. Of 185 participants, daily, occasional, and ex-smokers (123 participants) were more likely to have used e-cigarettes (OR = 9.33; 95% CI 4.63-18.80) or intend to use e-cigarettes (OR = 4.86; 95% CI 2.32-10.21), relative to nonsmokers (62 participants). Participants reporting acceptability among people they study or work with (70 participants) were more likely to have used e-cigarettes relative to the reference group (OR = 16.76; 95% CI 3.70-75.83; p = 0.001) and were more likely report intending to use e-cigarettes relative to the reference group (OR = 3.40; 95%CI 1.58-7.30; p = 0.002).With caveats related to the survey participant composition, the results suggest that places of work or study may be an appropriate place to consider interventions aimed at reducing e-cigarette uptake among nonsmokers.

Why do people start or stop using e-cigarettes in Australia? A qualitative interview-based study.

ISSUE ADDRESSED: E-cigarette awareness and use has increased globally, but little is known about the social factors that influence uptake in Australia. We explored the reasons why people started, continued and stopped using e-cigarettes in Australia. METHODS: This was a qualitative study comprising 14 semi-structured interviews with past and current e-cigarette users in Australia. Interview transcripts were analysed thematically to explore reasons why people started, continued or stopped using e-cigarettes. RESULTS: The following three themes emerged from interviews: "social" reasons, including issues of peer influence and social norms; "health" reasons, with aspects related to the reduction in use of cigarettes and health effects of using e-cigarettes; and "access and other personal" reasons, including the cost of e-cigarettes, the ability to access e-cigarettes and participants' experiences with e-cigarettes. CONCLUSIONS: The study revealed that social norms and peer influence were reasons why people started and stopped using e-cigarettes. Smokers often cited health reasons for starting, while non-smokers cited social reasons for both starting and stopping. SO WHAT?: The social and non-social reasons for why people say they start or stop using e-cigarettes appear to vary between smokers and non-smokers. Future studies may benefit from measuring these factors, differentiating between smokers and non-smokers, and considering these factors as part of interventions for limiting e-cigarette uptake among non-smokers.

Exposure to e-cigarette information and advertising in social media and e-cigarette use in Australia: A mixed methods study.

OBJECTIVES: The aim of this study was to explore how e-cigarette users in Australia accessed e-cigarette information and advertising on social media platforms. METHODS: The mixed-methods study design included a survey and semi-structured interviews. Data were collected from March 2019 to July 2019 in Australia. Interviews were conducted following survey participation. Analysis of survey results examined associations between social media and advertising factors and use of e-cigarettes. Thematic analysis methods were applied to interview responses to explore e-cigarette information search and advertising exposure in different social media channels. RESULTS: The survey had 185 respondents and 14 participated in the interviews. The average social media use time was 11.4 h/week (SD ± 2.05). A total of 91 (49.2 %) participants sought out relevant information and 104 (56.2 %) were exposed to e-cigarette advertisements on social media platforms. Participants who searched for e-cigarette information on social media were more likely to report past (OR = 5.04; 95 % CI 2.23-11.42; p = 0.001) or current e-cigarette use (OR = 9.27; 95 % CI 4.22-20.34; p = 0.001), compared to participants who had never used e-cigarettes. The same relationship was observed for exposure to e-cigarette advertising. Thematic analysis of interviews revealed the diversity of sources of information for e-cigarettes, the pervasiveness of advertising, and the importance of peer recommendations. CONCLUSIONS: Australian e-cigarette users seek or are exposed to e-cigarette information on a variety of social media platforms. Access to e-cigarette information was concentrated among e-cigarette users but peer influence may be a risk for uptake among non-smokers.

Social Influence in the Uptake and Use of Electronic Cigarettes: A Systematic Review.

CONTEXT: E-cigarettes were introduced to support smoking cessation, but their popularity has increased among nonsmokers, challenging current perspectives on their safety and effectiveness as a public health intervention. The objective of this systematic review was to identify and synthesize current evidence on the influence of social factors on e-cigarette intentions and use. EVIDENCE ACQUISITION: MEDLINE, CINAHL, PsycINFO, and Embase were searched for studies of the effects of social factors on e-cigarette intention or use in February 2019. Studies were included if they used experimental, longitudinal, qualitative, or mixed methods designs. Advertising, social interactions, and social norms were considered as social factors; social media was considered a conduit for other social factors. Two reviewers screened all studies; bias risk was evaluated for all RCTs using the Cochrane risk of bias tool. EVIDENCE SYNTHESIS: This review included 43 studies: 9 experimental, 11 longitudinal, 22 qualitative, and 1 mixed method. All experimental studies examined advertising and consistently showed that exposure increased intentions to use e-cigarettes. Evidence of the influence of social interactions and social norms came from longitudinal and qualitative studies, suggesting that these factors could increase e-cigarette use. Most participants were nonsmokers (81%; 22,233 of 27,303). Studies rarely considered differences in the effects of social factors on smokers and nonsmokers. CONCLUSIONS: Given the increased popularity among nonsmokers and the potential for advertising to increase e-cigarette use, closer public health monitoring of e-cigarette uptake by nonsmokers is warranted. Future primary research should be designed to measure how social factors affect smokers and nonsmokers differently.

The use of ELISA and immunohistochemistry techniques for detection of Toxoplasma gondii antigen in tissues of experimentally infected mice.

The capability of double antibody sandwich enzyme-linked immunosorbent assay (ELISA) for detecting antigens of Toxoplasma gondii (T. gondii) in different mice tissue specimens was evaluated in comparison to the immunohistochemistry (IHC) technique. Results proved that tissue antigens were detectable in liver, kidney and mesenteric lymph node (LN) specimens by both methods from the second day of infection, with statistically significant increase in its amount in all organs throughout the period of the study. Using ELISA technique, the highest antigen level was recorded on the second day (0.120+/-0.0015) and the fourth day (0.147+/-0.0034) of infection in LN specimens, while, the liver showed the highest antigen level at the sixth day post infection (PI)(0.165+/-0.0066). On the other hand, using the IHC technique, the highest number of tachyzoites was recorded in LN sections in all studied durations, the second, the fourth and the sixth days PI (1.1+/-0.875, 1.6+/-1.173 & 3.1+/-1.370 respectively). Thus, sandwich ELISA technique might offer a valuable aid for rapid diagnosis of acute toxoplasmosis in human tissues, and it has proved to be more accurate than IHC technique, since its results was coincided with the pathogenesis of the disease.