Prospective predictors of flavored e-cigarette use: A one-year longitudinal study of young adults in the U.S.

INTRODUCTION: E-cigarettes with fruit and candy flavors are appealing among young adults. This study examined the prospective predictors of young adults' flavored e-cigarette use to inform regulation and prevention efforts. METHODS: We used the wave 1 (2013-2014) and wave 2 (2014-2015) data of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study of U.S. youth and adults. We analyzed a sample of young adults aged 18-34 (n = 12,383) to identify wave 1 prospective predictors (i.e., socio-demographic characteristics, mental health symptoms, marijuana use, tobacco use, and e-cigarette harm perceptions) of wave 2 flavored e-cigarette use. RESULTS: At wave 2, 8.0% of young adults used e-cigarettes, and 2.5% and 5.5% used tobacco and menthol (TM) and non-tobacco and non-menthol flavors (NTM) flavors, respectively. In the multivariable model, significant prospective predictors (wave 1) of NTM flavored e-cigarette use compared to TM flavored e-cigarette use (wave 2) were younger age (18-24 years) (AOR = 1.82, p < 0.001), female gender (AOR=1.81, p < 0.001), education attainment of high school graduate and higher (AOR=1.60, p = 0.024), marijuana use (AOR=1.96, p < 0.001), ever but non-past-month cigarette smoking (AOR=2.75, p < 0.001), never cigarette smoking (AOR=5.08, p = 0.016), and lower harm perception of e-cigarettes (AOR=1.59, p = 0.005). CONCLUSION: This study highlights high rates of NTM flavor use and specific predictors of NTM flavored e-cigarettes use among young adults in the U.S. Regulation and prevention efforts for curbing flavored e-cigarette use among young adults should focus on these risk factors and high-risk groups (e.g., 18-24 years, female, and never cigarette smokers).

An Ecological Momentary Assessment of Cigarette and Cigar Dual Use Among African American Young Adults.

Introduction: The dual use of cigarettes and cigars among African American young adults is a significant public health issue. Patterns of and reasons for dual use are difficult to capture using traditional self-report methods. This study used ecological momentary assessment (EMA) to characterize patterns of dual smoking and examine the personal and environmental predictors of cigarette and cigar smoking among African American young adult dual users (ages 18-29) in real-time. Methods: For 14 days, 64 participants smoked ad libitum and were prompted four times daily to record their smoking, craving, emotions, social smoking, and environment via text message on their mobile phones. The odds of single product and dual use were examined using adjusted generalized estimating equations. Results: Participants smoked an average of 7.9 cigarettes and 4.2 cigars per day. Cigarettes and cigars were smoked as frequently during periods of dual use as they were during periods of single product use. Cigarette craving was positively associated with cigarette-only smoking (OR: 1.07), whereas cigar craving was positively associated with cigar-only smoking (OR: 1.43) and dual use (OR: 1.08). Cigars had the greatest odds of dual use when with others (OR: 4.69) and in others' homes (OR: 4.33). Cigarettes had the greatest odds of being smoked while alone (OR: 1.57). Conclusions: EMA was useful for capturing variable smoking patterns and predictors. In this study population, cigarettes and cigars appeared to be smoked additively, and cigars smoked socially. These findings can inform future interventions addressing dual use in this high priority population. Implications: This is the first study to use EMA to examine naturalistic patterns and predictors of multiple tobacco use in real-time. African American young adults smoked cigarettes and cigars during periods of dual use as frequently as during periods of single product use. This suggests that most use was additive (one product smoked in addition to another) and less often as substitution (one product smoked instead of another). Social smoking and craving were strongly associated with cigar smoking in single and dual use periods. This study suggests the need for cessation messaging specifically targeted to reduce dual use in this population.

Receipt of tobacco direct mail/email discount coupons and trajectories of cigarette smoking behaviours in a nationally representative longitudinal cohort of US adults.

BACKGROUND: We assessed whether receipt of coupons-via direct mail or e-mail-was prospectively related to trajectories of smoking behaviours. METHODS: Data were from a cohort of US adults (n=26 447) who participated in wave 1 (2013-2014) and wave 2 (2014-2015) of the Population Assessment of Tobacco and Health Study. Participants reported receipt of tobacco direct mail/email coupons in the past 6 months in wave 1 and their smoking status in both waves. Weighted multiple logistic regressions were used to examine demographic correlates of receiving tobacco direct mail/email coupons at wave 1 and to examine the prospective effect of receiving tobacco coupons on trajectories of smoking behaviours. FINDINGS: At wave 1, 10.7% of never smokers, 13.9% of experimental smokers, 37.1% of current smokers and 16.5% of former smokers reported receiving tobacco direct mail/email coupons. Lower education and higher poverty adults and non-Hispanic white current smokers were more likely to have received these coupons (p<0.05). Receiving tobacco direct mail/email coupons at wave 1 was associated with increased odds of smoking initiation among never smokers (adjusted odds ratio (AOR)=2.28, 95% CI 1.36 to 3.83), becoming established smokers among experimenters (AOR=1.62, 95% CI 1.29 to 2.04), becoming daily smokers among non-daily smokers (AOR=1.56, 95% CI 1.23 to 1.99) and smoking relapse among former smokers between waves (AOR=1.91, 95% CI 1.39 to 2.65). Receiving these coupons at wave 1 was associated with reduced odds of smoking cessation ≥6 months among current smokers (AOR=0.71, 95% CI 0.58 to 0.88). CONCLUSIONS: Tobacco direct mail/email coupons encourage and sustain smoking and disproportionately affect lower socioeconomic populations.

Flavored E-cigarette Use and Cigarette Smoking Reduction and Cessation-A Large National Study among Young Adult Smokers.

BACKGROUND: E-cigarette use prevalence has increased drastically among young adult cigarette smokers in recent years. OBJECTIVES: This study seeks to understand which e-cigarette flavors-sweet and fruity or tobacco and menthol/mint-are more likely to be associated with smoking reduction and cessation among young adults. METHODS: Longitudinal data (waves 1 and 2) of the Population Assessment of Tobacco and Health (PATH) Study from young adult (aged 18-34) cigarette smokers (n = 4,645) at wave 1 and current e-cigarette users (n = 844) at wave 2 were used. Univariate and multivariate regressions were conducted to examine the associations between past-year smoking reduction and cessation and current e-cigarette flavor use at wave 2. RESULTS: At wave 2, 25.9% of respondents either reduced or quit smoking, and 6.7%, 5.2%, and 6.3% of them reported currently using e-cigarettes with tobacco/menthol (TM) flavors, one non-tobacco/non-menthol (NTM) flavor, and multiple NTM flavors, respectively. E-cigarette users with one (AOR = 2.5, p < 0.001) and multiple NTM flavors (AOR = 3.0, p < 0.001) were more likely to have reduced or quit smoking over the past year compared to non-e-cigarette users. NTM flavor use was positively associated with e-cigarette use of a higher frequency and larger amount. CONCLUSIONS: The positive association between past-year smoking reduction and cessation and current NTM flavored e-cigarette use may be explained by young adults' escalated e-cigarette use with NTM flavors. Public health professionals should prevent and reduce multiple tobacco use through enhanced education about the harm of vaping NTM flavors and by advising young adult smokers to quit tobacco altogether using evidence-based methods.

Flavored E-cigarette Use and Cigarette Smoking Susceptibility among Youth.

OBJECTIVES: Research indicates youth e-cigarette use may lead to the use of conventional cigarettes, but the specific effects of flavored e-cigarettes-which greatly appeal to youth-are unknown. Therefore, this study examines how flavored e-cigarette use predicts cigarette smoking susceptibility among youth non-smokers. METHODS: We used 2014 National Youth Tobacco Survey to explore the relationship between current e-cigarette use (non-use, flavored and plain e-cigarette use) and smoking susceptibility among 18,392 youth non-smokers (ages 11-18 years). RESULTS: Overall, 2.2% and 2.1% of non-smoking youth currently used plain and flavored e-cigarettes. Compared to 30.0% of non-users, 61.1% and 74.1% of plain and flavored e-cigarette users reported smoking susceptibility. Flavored e-cigarette users were more likely to be susceptible than plain e-cigarette users (AOR=1.7, p< .001) and non-users (AOR=3.8, p< .0001). The magnitude of the relationship between flavored e-cigarette use and smoking susceptibility was significantly higher for females (AOR=6.5, p< .01) than males (AOR=2.5, p< .01). CONCLUSIONS: Flavored more so than plain e-cigarette use is strongly associated with smoking susceptibility among non-smoking youth. Flavored e-cigarettes are recruiting females and those with low smoking-risk profile to experiment conventional cigarettes. Legislative efforts to ban e-cigarettes with child-friendly flavors should be enhanced.

Tobacco cues in India: An ecological momentary assessment.

BACKGROUND: Tobacco use in India is a major health concern; however, little is known about the influence of tobacco-related social and environmental cues on tobacco use. This study uses ecological momentary assessment (EMA) to examine real-time tobacco use and exposure to social and environmental cues. METHODS: In Hyderabad and Kolkata, participants were recruited, and an EMA application was installed on their mobile phones. Momentary prompts (MP) were randomly used to collect real-time information and end-of-day (EOD) prompts gathered retrospective information on daily basis. Besides personal tobacco use, the surveys asked about exposure to social (e.g., presence of others using tobacco) and environmental cues (e.g., visual and olfactory stimuli). Using the data aggregation approach, bivariate and multivariate analyses were performed to examine the association of tobacco use and cue exposure. Moderating roles of participants' socio-demographic characteristics were also tested to gain an in-depth understanding of the relationship. RESULTS: Among the 205 participants, around a third (MP, 33.7 %; EOD, 37.6 %) used tobacco at least once during the study period. Tobacco-related social and environmental cues related were commonly reported. In the bivariate models, tobacco use was associated with gender, age, and all the examined social and environmental cues except for seeing restrictions on tobacco use. In the multivariate models, tobacco use was associated with age, gender, seeing others using tobacco, and seeing restrictions on tobacco use. Seeing others in one's immediate group using tobacco was the strongest predictor of tobacco use in both MP and EOD assessments. Gender and age did not moderate the relationship between cue exposure and tobacco use, although males reported higher tobacco use and cue exposure in general. CONCLUSIONS: This research provides data on the ubiquity of social and environmental tobacco cues in India. The EMA approach was feasible and informative. Future cessation interventions and advocacy efforts should address the high prevalence of tobacco use and exposure to pro-tobacco use cues especially among Indian males. Health education campaigns for promoting tobacco use restrictions in private places as well as changing the norms of tobacco use in social settings are recommended.

Using Ecological Momentary Assessment to Study Tobacco Behavior in Urban India: There's an App for That.

BACKGROUND: Ecological momentary assessment (EMA) uses real-time data collection to assess participants' behaviors and environments. This paper explores the strengths and limitations of using EMA to examine social and environmental exposure to tobacco in urban India among older adolescents and adults. OBJECTIVE: Objectives of this study were (1) to describe the methods used in an EMA study of tobacco use in urban India using a mobile phone app for data collection, (2) to determine the feasibility of using EMA in the chosen setting by drawing on participant completion and compliance rates with the study protocol, and (3) to provide recommendations on implementing mobile phone EMA research in India and other low- and middle-income countries. METHODS: Via mobile phones and the Internet, this study used two EMA surveys: (1) a momentary survey, sent multiple times per day at random to participants, which asked about their real-time tobacco use (smoked and smokeless) and exposure to pro- and antitobacco messaging in their location, and 2) an end-of-day survey sent at the end of each study day. Trained participants, from Hyderabad and Kolkata, India, reported on their social and environmental exposure to tobacco over 10 consecutive days. This feasibility study examined participant compliance, exploring factors related to the successful completion of surveys and the validity of EMA data. RESULTS: The sample included 205 participants, the majority of whom were male (135/205, 65.9%). Almost half smoked less than daily (56/205, 27.3%) or daily (43/205, 21.0%), and 4.4% (9/205) used smokeless tobacco products. Participants completed and returned 46.87% and 73.02% of momentary and end-of-day surveys, respectively. Significant predictors of momentary survey completion included employment and completion of end-of-day surveys. End-of-day survey completion was only significantly predicted by momentary survey completion. CONCLUSIONS: This first study of EMA in India offers promising results, although more research is needed on how to increase compliance. End-of-day survey completion, which has a lower research burden, may be the more appropriate approach to understanding behaviors such as tobacco use within vulnerable populations in challenging locations. Compliance may also be improved by increasing the number of study visits, compliance checks, or opportunities for retraining participants before and during data collection.