E-cigarette use reasons and associated e-cigarette use dependence among college students: A longitudinal examination.

OBJECTIVE: Previous studies have established an understanding of reasons for e-cigarette use and associated e-cigarette use patterns such as use frequency, yet the critical extension to associated e-cigarette dependence outcome remains under-researched. This study used longitudinal data to examine whether the reasons for e-cigarette use predict a higher/lower level of e-cigarette dependence. METHODS: This study recruited college students who were current e-cigarette users from Fall 2019 to Fall 2020 (four semesters) at three public universities in the Midwest and South of the U.S. Those who participated for at least two semesters were included (N = 366). Data were collected using a structured questionnaire. E-cigarette use dependence was assessed using the Penn State Electronic Cigarette Dependence Index. A linear mixed model with a random intercept and a random slope was conducted to examine the longitudinal association between reasons for e-cigarette use and dependence, controlling for demographics and other covariates. RESULTS: Participants who used e-cigarettes for relaxation (ß = 0.63, p < 0.05) and due to their good taste (ß = 0.63, p < 0.05) had a higher level of e-cigarette dependence. Participants using e-cigarettes for experimental purposes had a lower level of e-cigarette dependence (ß = -1.21, p < 0.01). CONCLUSIONS: These findings highlight the importance of addressing e-cigarette use reasons and their relationship to e-cigarette dependence. Prevention and intervention efforts aimed at developing more effective strategies should consider the various e-cigarette use reasons associated with dependence risks, such as enhancing awareness of the use dependence risk related to good taste of e-cigarettes and use for relaxation, as well as incorporating early screenings for use.

Retrospective and Real-time Measures of the Quantity of E-cigarette Use: An Ecological Momentary Assessment Study.

INTRODUCTION: Quantifying e-cigarette use is challenging because of the wide variety of products and the lack of a clear, objective demarcation of a use event. This study aimed to characterize the difference between retrospective and real-time measures of the quantity of e-cigarette use and identify the covariates that may account for discrepancies between the two types of measures. METHODS: This study analyzed data from 401 college student e-cigarette users in Indiana and Texas who responded to a web survey (retrospective) and 7-day ecological momentary assessments (EMA) (real-time) on their e-cigarette use behavior, dependence symptomatology, e-cigarette product characteristics, and use contexts from Fall 2019 to Fall 2021. Generalized linear mixed models were used to model the real-time measures of quantity offset by the retrospective average quantity. RESULTS: Although the number of times using e-cigarettes per day seems to be applicable to both retrospective and real-time measures, the number reported via EMA was 8.5 times the retrospective report. E-cigarette users with higher e-cigarette primary dependence motives tended to report more daily nicotine consumption via EMA than their retrospective reports (ie, perceived average consumption). Other covariates that were associated with discrepancies between real-time and retrospective reports included gender, nicotine concentration, using a menthol- or fruit-flavored product, co-use with alcohol, and being with others when vaping. CONCLUSIONS: The study found extreme under-reporting of e-cigarette consumption on retrospective surveys. Important covariates identified to be associated with higher than average consumption may be considered as potential targets for future vaping interventions. IMPLICATIONS: This is the first study that characterizes the direction and magnitude of the difference between retrospective and real-time measures of the quantity of e-cigarette use among young adults-the population most likely to use e-cigarettes. An average retrospective account of vaping events per day may significantly underestimate e-cigarette use frequency among young adults. The lack of insight into the degree of consumption among users with heavy primary dependence motives illustrates the importance of incorporating self-monitoring into cessation interventions.

Stressful Life Events and Patterns of Polysubstance Use Among U.S. Late Middle-Aged and Older Adults: A Latent Class Analysis.

The goals of this study were to identify patterns of polysubstance use and their associations with stressful life events among U.S. late middle-aged and older adults and examine whether gender moderates these associations. Adults aged 50 and older (N = 14,738) from the National Epidemiological Survey on Alcohol and Related Conditions-III were included. Latent class analysis was conducted to identify patterns of polysubstance use. Weighted multinomial logistic regression was estimated with a generalized structural equation model. Three different polysubstance use patterns (non-users/low substance users; cannabis and excessive alcohol users; painkiller and sedative/tranquilizer misusers) were identified. Higher levels of stressful life events were associated with patterns of polysubstance use. Gender moderated the association between stressful life events and co-misusing painkillers and sedatives/tranquilizers (p < 0.05). Substance use prevention efforts should consider aging adults' patterns of polysubstance use and associated stressful life events when designing and implementing gender-specific polysubstance use prevention interventions.

An ecological momentary assessment study to examine covariates and effects of concurrent and simultaneous use of electronic cigarettes and marijuana among college students.

INTRODUCTION: The prevalence of concurrent and simultaneous use of e-cigarette and marijuana among college students is high. Yet, the literature was mainly based on cross-sectional surveys with emphasis on the smoking route. This is the first ecological momentary assessment (EMA) study that examined the vaping route of nicotine-marijuana co-use and the associated short-term psychological effects. METHODS: This study recruited 686 college student e-cigarette users to participate in an on-line survey and 7-day EMA. Frequent marijuana users (247) - using marijuana weekly or daily - were compared with infrequent/non-users (439) on academic performance, e-cigarette use patterns, and dependence and respiratory symptoms. EMA data from the frequent users were used to study the association between marijuana vaping and e-cigarette consumption and the short-term psychological effects of e-cigarette and marijuana use. RESULTS: The results show that e-cigarette users who frequently used marijuana tended to have lower academic performance, be involved in higher-risk use patterns, and have higher levels of e-cigarette dependence, marijuana problems, and respiratory symptoms, compared to infrequent/non-users. Marijuana vaping was associated with a higher level of e-cigarette consumption. E-cigarette use and marijuana use were both associated with higher levels of positive affect, physiological sensation, and craving for e-cigarettes. While marijuana use was linked to a lower level of negative affect, e-cigarette use did not have a significant effect. Further, none of the interaction effects between e-cigarette and marijuana use on psychological states were significant. CONCLUSIONS: The results showed additive effects of e-cigarette and marijuana use although the hypothesized synergistic effects were not supported.

The situational contexts and subjective effects of co-use of electronic cigarettes and alcohol among college students: An ecological momentary assessment (EMA) study.

INTRODUCTION: Understanding the co-use of e-cigarettes and alcohol, including the situational contexts and subjective effects associated with co-use in real-time is necessary for validating this behavior and informing intervention. Yet, the sparse literature has built upon retrospective data. METHODS: This study recruited 686 college students who were currently using e-cigarettes from three campuses in the Midwest and South of U.S in Fall 2019-Fall 2021. An on-line survey was conducted to measure e-cigarette use patterns, GPA, e-cigarette and alcohol dependence symptoms, and respiratory symptoms. A 7-day ecological momentary assessment was used to collect real-time data on e-cigarette and alcohol use, situational contexts and subjective effects. RESULTS: Frequent drinking e-cigarette users reported more high-risk use behavior including consuming 6 + drinks/occasion and simultaneous use, and reported more e-cigarettes and alcohol related dependence symptoms and respiratory symptoms, compared to infrequent/non-drinker e-cigarette users. Alcohol quantity was positively associated with e-cigarette quantity among the high frequency drinking group. This study identified important use contexts that were associated with higher e-cigarette consumption including use of menthol or fruit flavored e-cigarettes, being in a car, and the presence of others. E-cigarette use and alcohol use both increased the levels of positive affect, physiological sensation, and craving for e-cigarettes, whereas only alcohol use significantly decreased negative affect. No interaction effects between e-cigarette use and alcohol use were found. CONCLUSIONS: The findings highlight the addiction and health risks associated with frequent co-use of e-cigarettes and alcohol, and also call for regulations on nontobacco flavorings in e-cigarette products.

Associations between heavy drinker's alcohol-related social media exposures and personal beliefs and attitudes regarding alcohol treatment.

Objective: Social media use among American adults is ubiquitous. Alcohol-related social media posts often glamorize heavy drinking, with increased exposure to such content associated with greater alcohol use. Comparatively less is known, however, about how social media promotes alcohol-related health behavior change. Greater scientific knowledge in this area may enhance our understanding of the relationship between social media and alcohol behaviors, helping to inform clinical and public health recommendations. We examined the relationship between exposure to peer alcohol-related social media posts (pro-drinking, negative consequences, and pro-treatment/recovery) and treatment-seeking intentions among heavy drinkers, as well as potential mediators of the relationship (e.g., attitudes toward treatment effectiveness). Method: Hazardous drinking adults (aged 18-55 years) who use social media (N = 499) completed an online questionnaire. Linear regression analysis examined the association between alcohol-related social media exposures and treatment-seeking intentions. Mediation was tested using structural equation modelling. Results: Exposure to peer pro-drinking posts was negatively associated with intentions to seek treatment (ß = -0.67, p < 0.01), whereas exposures to peer alcohol-related negative consequences posts and peer posts about positive experiences with treatment/recovery were positively associated with treatment-seeking intentions (ß = 0.69, p < 0.01; ß = 1.23, p < 0.001, respectively). Mediation analysis concluded the effect of exposures on intentions was explained partially by attitudes toward treatment effectiveness (25.5%) and alcohol treatment stigma (6.1%). Conclusions: Findings suggest peers' alcohol-related social media posts may both promote and hinder health behavior change depending on the nature of the post. Future research that develops and tests social media-delivered interventions to promote treatment and recovery seeking is warranted.

Predicting Exercise Intentions and Behaviors of Taiwanese Children in a Longitudinal Sample.

PURPOSE: The primary purpose of this study was to investigate changes in exercise intentions and behaviors among children across time. Then, we investigated how determinants in the Theory of Planned Behavior (TPB) predicted exercise intentions and behaviors, and explored if demographic predictors contributed to predicting behaviors. DESIGN AND METHODS: A three-wave, 12-month longitudinal study was conducted. A proportional stratified random sampling method was adopted, and 1997 children from 11 elementary schools in Taipei City were recruited. Numbers of participants were 1074, 1064, and 995 at times 1, 2, and 3, respectively. RESULTS: Children's exercise intentions and behaviors significantly changed (both p < .05) during a 6-month interval. Attitudes, subjective norms, and perceived behavioral control (PBC) at time 1 could respectively explain 51.0% and 17.1% of the variance in time 1 and 2 intentions (F(3, 1068) = 372.20, F(3, 1059) = 73.92, both p < .001). PBC was the strongest predictor of the intention to exercise. Intentions were the immediate determinant of exercise behaviors. PBC not only indirectly affected exercise behaviors through intentions but also directly affected exercise behaviors. Gender and sports club participation directly affected children's exercise behaviors. CONCLUSIONS: The findings support the TPB model being suitable for use in longitudinal studies; its core constructs significantly predicted children's exercise intentions and behaviors. PRACTICE IMPLICATIONS: This study highlights that clinical practitioners and school nurses working with children can help youth engage in regular exercise by enhancing their intentions and perceived behavioral control, and cultivating positive attitudes and subjective norms when planning exercise intervention programs.