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.

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.

Sugar and Aldehyde Content in Flavored Electronic Cigarette Liquids.

Introduction: Sugars are major constituents and additives in traditional tobacco products, but little is known about their content or related toxins (formaldehyde, acetaldehyde, and acrolein) in electronic cigarette (e-cigarette) liquids. This study quantified levels of sugars and aldehydes in e-cigarette liquids across brands, flavors, and nicotine concentrations (n = 66). Methods: Unheated e-cigarette liquids were analyzed using liquid chromatography mass spectrometry and enzymatic test kits. Generalized linear models, Fisher's exact test, and Pearson's correlation coefficient assessed sugar, aldehyde, and nicotine concentration associations. Results: Glucose, fructose and sucrose levels exceeded the limits of quantification in 22%, 53% and 53% of the samples. Sucrose levels were significantly higher than glucose [χ2(1) = 85.9, p < .0001] and fructose [χ2(1) = 10.6, p = .001] levels. Formaldehyde, acetaldehyde, and acrolein levels exceeded the limits of quantification in 72%, 84%, and 75% of the samples. Acetaldehyde levels were significantly higher than formaldehyde [χ2(1) = 11.7, p = .0006] and acrolein [χ2(1) = 119.5, p < .0001] levels. Differences between nicotine-based and zero-nicotine labeled e-cigarette liquids were not statistically significant for sugars or aldehydes. We found significant correlations between formaldehyde and fructose (-0.22, p = .004) and sucrose (-0.25, p = .002) and acrolein and fructose (-0.26, p = .0006) and sucrose (-0.21, p = .0006). There were no significant correlations between acetaldehyde and any of the sugars or any of the aldehydes and glucose. Conclusions: Sugars and related aldehydes were identified in unheated e-cigarette liquids and their composition may influence experimentation in naïve users and their potential toxicity. Implications: The data can inform the regulation of specific flavor constituents in tobacco products as a strategy to protect young people from using e-cigarettes, while balancing FDA's interest in how these emerging products could potentially benefit adult smokers who are seeking to safely quit cigarette smoking. The data can also be used to educate consumers about ingredients in products that may contain nicotine and inform future FDA regulatory policies related to product standards and accurate and comprehensible labeling of e-cigarette liquids.

Biomarkers of tobacco smoke exposure in racial/ethnic groups at high risk for lung cancer.

OBJECTIVES: We examined biomarkers of tobacco smoke exposure among Native Hawaiians, Filipinos, and Whites, groups that have different lung cancer risk. METHODS: We collected survey data and height, weight, saliva, and carbon monoxide (CO) levels from a sample of daily smokers aged 18-35 (n = 179). Mean measures of nicotine, cotinine, cotinine/cigarettes per day ratio, trans 3' hydroxycotinine, the nicotine metabolite ratio (NMR), and expired CO were compared among racial/ethnic groups. RESULTS: The geometric means for cotinine, the cotinine/cigarettes per day ratio, and CO did not significantly differ among racial/ethnic groups in the adjusted models. After adjusting for gender, body mass index, menthol smoking, Hispanic ethnicity, and number of cigarettes smoked per day, the NMR was significantly higher among Whites than among Native Hawaiians and Filipinos (NMR = 0.33, 0.20, 0.19, P ≤ .001). The NMR increased with increasing White parental ancestry. The NMR was not significantly correlated with social-environmental stressors. CONCLUSIONS: Racial/ethnic groups with higher rates of lung cancer had slower nicotine metabolism than Whites. The complex relationship between lung cancer risk and nicotine metabolism among racial/ethnic groups needs further clarification.

Short-term fluctuations in motivation to quit smoking in a sample of smokers in Hawaii.

BACKGROUND: Despite its potential for usefulness in informing the development of smoking cessation interventions, short-term fluctuations in motivation to quit is a relatively understudied topic. OBJECTIVES: To assess the prevalence of smokers' day-to-day fluctuations in motivation to quit, and to assess associations of day-to-day fluctuations in motivation to quit with several established cessation-related variables. METHODS: A cross-sectional survey was administered to smokers in Hawaii (N = 1,567). To assess short-term fluctuations in motivation to quit smoking, participants were asked to respond "True" or "False" to the statement: "My motivation to quit smoking changes from one day to the next." Other items measured desire to quit smoking, intention to quit, confidence in quitting, cigarette dependence, and other cessation-related variables. RESULTS: "My motivation to quit smoking changes from one day to the next" was endorsed as true by 64.7% of smokers, and false by 35.3%. Analyses revealed that smokers who indicated fluctuating motivation were significantly more interested in quitting as compared to smokers without fluctuations. Fluctuations in motivation to quit also were associated with greater confidence in quitting, lesser cigarette dependence, and more recent quitting activity (all p < .01). CONCLUSIONS: Day-to-day fluctuations in motivation to quit are common. Day-to-day fluctuations in motivation to quit are strongly associated with higher motivation to quit, greater confidence in future quitting, and other positive cessation-relevant trends.

The reasons for betel-quid chewing scale: assessment of factor structure, reliability, and validity.

BACKGROUND: Despite the fact that betel-quid is one of the most commonly used psychoactive substances worldwide and a major risk-factor for head-and-neck cancer incidence and mortality globally, currently no standardized instrument is available to assess the reasons why individuals chew betel-quid. A measure to assess reasons for chewing betel-quid could help researchers and clinicians develop prevention and treatment strategies. In the current study, we sought to develop and evaluate a self-report instrument for assessing the reasons for chewing betel quid which contributes toward the goal of developing effective interventions to reduce betel quid chewing in vulnerable populations. METHODS: The current study assessed the factor structure, reliability and convergent validity of the Reasons for Betel-quid Chewing Scale (RBCS), a newly developed 10 item measure adapted from several existing "reasons for smoking" scales. The measure was administered to 351 adult betel-quid chewers in Guam. RESULTS: Confirmatory factor analysis of this measure revealed a three factor structure: reinforcement, social/cultural, and stimulation. Further tests revealed strong support for the internal consistency and convergent validity of this three factor measure. CONCLUSION: The goal of designing an intervention to reduce betel-quid chewing necessitates an understanding of why chewers chew; the current study makes considerable contributions towards that objective.

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.

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.

Smokers who try e-cigarettes to quit smoking: findings from a multiethnic study in Hawaii.

OBJECTIVES: We characterized smokers who are likely to use electronic or "e-"cigarettes to quit smoking. METHODS: We obtained cross-sectional data in 2010-2012 from 1567 adult daily smokers in Hawaii using a paper-and-pencil survey. Analyses were conducted using logistic regression. RESULTS: Of the participants, 13% reported having ever used e-cigarettes to quit smoking. Smokers who had used them reported higher motivation to quit, higher quitting self-efficacy, and longer recent quit duration than did other smokers. Age (odds ratio [OR] = 0.98; 95% confidence interval [CI] = 0.97, 0.99) and Native Hawaiian ethnicity (OR = 0.68; 95% CI = 0.45, 0.99) were inversely associated with increased likelihood of ever using e-cigarettes for cessation. Other significant correlates were higher motivation to quit (OR = 1.14; 95% CI = 1.08, 1.21), quitting self-efficacy (OR = 1.18; 95% CI = 1.06, 1.36), and ever using US Food and Drug Administration (FDA)-approved cessation aids such as nicotine gum (OR = 3.72; 95% CI = 2.67, 5.19). CONCLUSIONS: Smokers who try e-cigarettes to quit smoking appear to be serious about wanting to quit. Despite lack of evidence regarding efficacy, smokers treat e-cigarettes as valid alternatives to FDA-approved cessation aids. Research is needed to test the safety and efficacy of e-cigarettes as cessation aids.

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.

Predictors of Discontinued E-Cigarette Use at One-Year Follow-Up in a Sample of Young Adults.

BACKGROUND: Currently, the research on factors associated with young adults' discontinuation of e-cigarette use behavior is limited. This study tested the predictors of self-reported e-cigarette abstinence at one-year follow-up among young adult baseline current e-cigarette users. The following variables were tested as predictors: demographics, cigarette smoking, e-cigarette use dependence, e-cigarette use duration, harm perceptions, and preferred aspects of e-cigarette use, including sensations, flavor, and device characteristics. METHODS: Data were provided at two time-points one year apart by 435 ethnically diverse young adults (M age = 22.3, SD = 3.1; 63% women) who reported current e-cigarette use at baseline. RESULTS: Approximately 42% of those who reported current e-cigarette use at baseline (i.e., 184 out of 435 participants) reported discontinuation of e-cigarette use at one-year follow-up. Results indicated that higher e-cigarette dependence, longer history of e-cigarette use, lower e-cigarette harm perceptions, greater preference for both menthol and sweet flavors, for open-pod-based devices, and for e-cigarette use sensations such as buzz, taste and smell of flavors, and throat hit at baseline were associated with lower likelihood of e-cigarette use discontinuation at one-year follow-up. CONCLUSIONS: Characteristics associated with nicotine (e.g., dependence) and flavors (e.g., taste and smell) appear to drive the continuation/discontinuation of e-cigarette use among young adults. Thus, cessation strategies may need to be developed with a focus on dependence and harm perceptions related to nicotine and flavors. Furthermore, better regulating open-pod-based devices and sweet-menthol flavors may help e-cigarette use prevention.

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.

The Betel Nut Intervention Trial (BENIT)-A Randomized Clinical Trial for Areca Nut and Betel Quid Cessation: Primary Outcomes.

BACKGROUND: Areca nut and betel quid (ANBQ) chewing is a widespread carcinogenic habit. The BENIT (ClinicalTrials-NCT02942745) is the first known randomized trial designed for ANBQ chewers. METHODS: We compared the intensive behavioral treatment intervention condition (IC) with the control condition (CC) in the BENIT and included a 5-stage early stopping rule. We report the primary analysis at stage 3. English-literate adults in Guam and Saipan who self-identified as ANBQ chewers with tobacco were enrolled between August 2016 and August 2020. IC participants (n = 88) received five in-person sessions over 22 days and a brochure containing quitting advice. CC participants (n = 88) received only the brochure. Participants were assessed at baseline and on day 22 of follow-up. Self-reported chewing status at day 22 was determined by a composite of two survey items with disparate wording and response options for cross-verification. RESULTS: Cessation rates were 38.6% (IC) and 9.1% (CC). Proportional hazards regression revealed a p = 0.0058, which met the Stage 3 criteria for significance, and an estimated reduction in ANBQ chewing for IC compared to the CC of 71% (95% CI: 41%-88%). CONCLUSIONS: Robust self-reported intervention effects at day 22 suggest that intensive cessation programs such as BENIT should be further developed and implemented on a larger scale.

Trajectories of e-cigarette advertising exposure, e-cigarette use and cigarette smoking in a sample of young adults from Hawaii.

AIM: To test whether intrapersonal growth in e-cigarette advertising exposure over time is associated with growth in e-cigarette use and/or cigarette smoking. DESIGN: Longitudinal study using four waves of data were collected in 6-month intervals between 2018 and 2020. SETTING AND PARTICIPANTS: Participants were 2327 young adults recruited from colleges in Hawaii, USA. MEASUREMENTS: Data were collected on demographics, e-cigarette advertising exposure measured using the cued- recall method and recent (past 30-day) cigarette and e-cigarette use. FINDINGS: The average trajectory for e-cigarette advertising exposure over time was significant and upward [M slope = 0.18 (0.14-0.22), P < 0.0001]. However, average trajectories for e-cigarette [M slope = -0.08 (-0.18 to 0.02), P = 0.09] and cigarette [M slope = -0.14 (-0.30 to 0.02), P = 0.07] use were not. There were significant differences in individual level trajectories across participants for advertising exposure [σ2 = 0.12 (0.10-0.14), P < 0.0001], e-cigarette use [σ2 = 0.22 (0.14-0.30), and cigarette smoking (σ2 = 0.17 [0.09-0.25], P < 0.0001). Individuals with an increasing rate of advertising exposure showed an increasing rate of e-cigarette use [B = 0.63 (0.36-0.90), P < 0.0001). Neither initial level of, nor rate of change in, advertising exposure was significantly associated with cigarette smoking growth factors (P > 0.05). Higher initial level of e-cigarette use was associated with higher initial level of cigarette smoking [B = 0.89 (0.69-1.09), P < 0.0001] but decreased rate of cigarette smoking over time [B = -0.12 (-0.20 to -0.04) P = 0.003]. Rate of change in e-cigarette use was not associated with the rate of change in cigarette smoking (P > 0.05). CONCLUSIONS: Increased exposure to e-cigarette advertising appears to be associated with increased e-cigarette use but not with increased cigarette smoking. Higher initial level of e-cigarette use appears to be associated with higher initial level of cigarette smoking but may be associated with a decreasing rate of cigarette smoking over time.

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.

Ethnicity and the mechanisms of point-of-sale e-cigarette marketing's influence on behavior: A longitudinal study.

Objective: To test the mechanisms by which exposure to point-of-sale (POS) e-cigarette marketing mediate the relationship between an ethnic minority group highly vulnerable for tobacco product use, namely Native Hawaiian/Other Pacific Islander (NHPI), and increased future e-cigarette use through explicit (positive outcome expectancies) and implicit (spontaneous positive reactions) pathways. Method: Four waves of data were collected in 6-month intervals from 2,327 multiethnic young adults (Mage = 21.2, SD = 2.2; 54% women) enrolled across two 4-year and four 2-year colleges belonging to a University system in Hawaii. POS e-cigarette marketing exposure was assessed with an objective measure involving store visit patterns and store audits, as well as a measure of self-reported exposure. Spontaneous reactions were assessed with an implicit measure, namely Affect Misattribution Procedure (AMP). Path analyses were used to test the hypotheses. Results: In a model employing the objective measure of POS exposure, a statistically significant pathway was found from NHPI ethnicity to increased current e-cigarette use at Wave 4 mediated through increased POS exposure at Wave 2, and increased affect regulation expectancies at Wave 3. Similar indirect effects on prospective e-cigarette use were found for Asian ethnicity. The dual process model of the effects of POS exposure on e-cigarette use was not fully supported, although the implicit measure was found to independently predict e-cigarette use. Conclusions: Differential exposure to POS marketing may explain some of the ethnic disparities in tobacco product use behavior such as e-cigarette use. POS marketing may affect e-cigarette use behavior mainly through the explicit pathway, notably affect regulation expectancies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Heat-not-burn Tobacco Products and the Increased Risk for Poly-tobacco Use.

Objectives: In this study, we tested the use of ecigarette, cigarette, and dual use of both as predictors of heat-not-burn (HNB) tobacco product use onset among young adults, and examined common predictors of smoking cessation as predictors of HNB product use. Methods: We collected data from 2229 young adults [mean age = 21.1 (SD = 2.1); 55% women] in Hawaii, at 2 time-points 6 months apart. Results: Current cigarette-only use was the strongest concurrent predictor of HNB product use, followed by dual use, and ecigarette-only use. Among HNB product never users at Wave 1, dual and ecigarette-only use at Wave 1 significantly predicted HNB product use onset at Wave 2. Among cigarette smokers who had never used an HNB product at Wave 1, current use of ecigarette for help with smoking cessation predicted increased odds of HNB product use at 6-month follow-up. Conclusions: Although promoted as a safer alternative for exclusive cigarette smokers, HNB products may increase the risk of dual or poly-tobacco product use among young adults, including current exclusive e-cigarette users. Surveillance of HNB product use as a modified risk tobacco product may need to consider the effects of HNB products on poly-tobacco use among young people.

Social media's influence on e-cigarette use onset and escalation among young adults: What beliefs mediate the effects?

As an extension of a previous cross-sectional study, this study employed prospective data to test positive outcome expectancy beliefs as mediators of social media's influence on e-cigarette use progression among young adults. Self-report data were collected from 2327 young adult college students (Mean age = 21.2; SD = 2.1; 54% women) between 2017 and 2019, every 6-month, at 3 time-points. Structural equation modeling was used to test the mediational models. Among baseline never e-cigarette users, higher affect regulation expectancies-e.g., beliefs that e-cigarette use results in feeling good, reduced boredom and stress-mediated the effects of higher baseline social media e-cigarette exposure on e-cigarette use onset one year later. Among baseline lifetime e-cigarette users, higher positive sensory, positive "smoking" experience, and affect regulation expectancy beliefs mediated the effects of higher social media e-cigarette exposure at baseline on increased current e-cigarette use one year later. E-cigarette content on social media may persuade young adults to try e-cigarettes by imparting the sense that e-cigarettes make one feel good and help reduce stress. E-cigarette content on social media that promote e-cigarette flavors and e-cigarettes as cleaner and a socially more acceptable alternative to cigarettes may work to escalate e-cigarette use among experimenters. Efforts to prevent e-cigarette use onset and escalation may need to target the outcome expectancy beliefs influenced by social media.

The Effects of E-Cigarette Use on Alcohol and Marijuana Abuse Symptoms in an Ethnically Diverse Sample of Young Adults.

BACKGROUND: We examined e-cigarette use as a prospective predictor of alcohol and marijuana abuse symptoms in a sample consisting of Native Hawaiian and Other Pacific Islander (NHPI), Filipino, Asian (i.e., Japanese, Chinese, Korean), and White young adults. NHPI represent a highly vulnerable group with regard to substance use and are severely understudied. METHODS: Data were collected from 1463 young adults (M age = 22.2, SD = 3.2; 59.5% women) enrolled across community colleges in Hawai'i at two time-points six months apart. RESULTS: Higher frequency of e-cigarette use at baseline was predictive of higher alcohol (B = 0.06, SE = 0.02, p < 0.01) and marijuana (B = 0.06, SE = 0.02, p < 0.01) use problems at six-month follow up, adjusting for baseline cigarette smoking, problem alcohol/marijuana use, sensation seeking, and demographic variables. Ethnicity was found to significantly moderate the relationship between baseline e-cigarette use and problem marijuana use later, such that White and NHPI ethnicities were particularly vulnerable to the effects of e-cigarette use on problem marijuana use. CONCLUSION: NHPI are often combined with Asians in national surveys, which obfuscates the higher risks faced by NHPI compared with groups that are routinely classified as Asians (e.g., Chinese, Japanese, Filipinos). The current research highlights the NHPI's vulnerability in terms of the effects of e-cigarette use on marijuana and alcohol abuse symptoms.