Impulsivity-Related Personality Traits as Predictors of E-Cigarette Use among Young Adults over Time.

Introduction: There has been rising concern about e-cigarette usage among teenagers and young adults. As knowledge about the adverse health effects of e-cigarettes accumulates, it is critical to identify factors that may increase risk of vaping initiation and frequency of use. One potential risk factor known to increase risk for other substance use is impulsivity. This study tested the hypothesis that impulsivity prospectively predicts vaping over time. Methods: Active e-cigarette users (n = 137; 51.8% male; Mean age 20 years at baseline) completed 8 waves of assessment over 21 months (2017-2020). The S-UPPS-P impulse behavior scale was used at baseline to measure impulsivity, and frequency of e-cigarette, cigarette, marijuana and alcohol use was calculated at each wave thereafter. Results: Vaping frequency declined over time [Incidence Rate Ratio (IRR) = 0.92]. There were significant, stable, positive associations between e-cigarette use and lack of premeditation (IRR = 1.06) and sensation seeking (IRR = 1.09). Vaping frequency was inversely associated with negative urgency (IRR = 0.95). Positive urgency and lack of perseverance were not associated with frequency of vaping. Conclusion: These findings suggest that young adults who have higher impulsivity of certain types may use e-cigarettes more frequently. Thus, vaping interventions for young adults should address these factors to ensure the greatest impact on public health.

Polytobacco use among young adult smokers: prospective association with cigarette consumption.

BACKGROUND: The risks of polytobacco use among young adults are unclear because we know relatively little about the consistency of multiproduct patterns over time and how these patterns impact cigarette smoking. The purpose of this study was to examine changes in multiple tobacco product use over time and associations with cigarette smoking quantity. METHODS: Participants (n=335; 55% male) were 18-24 years old non-daily cigarette smokers living in California. Polytobacco use patterns were assessed quarterly for 2 years. RESULTS: Transition analyses showed that while the number of products that had been used recently was volatile, the most common pattern was stability between timepoints. A longitudinal negative binomial regression model indicated that those who used more non-cigarette products also reported greater cigarette quantity. The strength of this relationship increased over time. CONCLUSIONS: Findings suggest that individuals who use more tobacco products are at greater risk for increased cigarette smoking and maintaining a multiple product use pattern.

Associations Between Self-Reported and Biological Measures of Nicotine Consumption Among Young Adult Nondaily Cigarette Smokers.

BACKGROUND AND OBJECTIVES: Intermittent, dual use of cigarettes and e-cigarettes is a common pattern among youth and young adults. However, little is known about the validity of self-report measures of nicotine consumption in these populations. The goal of the present study was to examine associations between self-reported frequency of cigarette and e-cigarette use and nicotine levels in hair samples at two assessments 1 year apart. METHODS: Participants (n = 90; 65% female) were 19- to 25-year-old intermittent cigarette smokers recruited from the community for a longitudinal study of tobacco use. They submitted hair samples via mail, 1 and 2 years after enrollment in the parent study. RESULTS: Findings indicated that days of use of both cigarettes and e-cigarettes in the past 30 days independently predicted hair nicotine in the full sample, and when examining only timepoints at which any cigarette use was reported. Timepoints when any e-cigarette use was reported, hair nicotine was positively associated with e-cigarette but not cigarette frequency. DISCUSSION AND CONCLUSIONS: Data suggest that self-report measures are valid methods of assessing intermittent use of both cigarettes and e-cigarettes. Findings also suggest that dual users may tend to consume more nicotine and thus be at greater risk for dependence than single product users. SCIENTIFIC SIGNIFICANCE: These results are among the first to indicate that hair analysis can be used to detect intermittent nicotine exposure via both cigarettes and e-cigarettes. (Am J Addict 2020;29:471-475).

Co-occurring Use of Cannabis and Tobacco and the Presence of Acute Respiratory Symptoms among Young Adult Light and Intermittent Smokers.

BACKGROUND: Cannabis use and intermittent smoking are becoming increasingly prevalent among young adults. Thus, identifying health consequences of co-occurring use of these substances represents an emerging research priority. Purpose/Objectives: This study evaluated the relationship between tobacco/cannabis co-use and acute symptoms of respiratory illness among young adult intermittent smokers. We hypothesized that tobacco/cannabis co-use would be more strongly associated with respiratory symptoms relative to use of neither or one product. Methods: A secondary analysis of a three-year observational study was conducted. Non-daily smokers (n = 563) aged 18-24 were recruited via social media and completed electronic surveys at baseline and annually for two years, producing three total assessments. Past-two-week use of tobacco and cannabis was measured at each assessment, as was severity of six acute respiratory symptoms. The respiratory measure was dichotomized to indicate the presence or absence of symptoms. Results: Tobacco/cannabis co-use decreased from 54.8% at baseline to 43.4% at year two (p < .001). Mean respiratory symptoms also declined significantly over time (ps < .05). At each timepoint, co-use was more strongly associated with presence of respiratory symptoms than the use of neither product (aORs = 2.73-4.39, ps ≤ .013). Co-users were also 38%-183% more likely to endorse the presence of respiratory symptoms than single product users at each timepoint (aORs = 1.38-2.83, ps = .023-.212). Conclusions/Importance: Although co-occurring use of tobacco and cannabis by young adults may represent experimental use of multiple substances, it may also promote or exacerbate acute symptoms of respiratory illness. Further exploration with more granular patterns of co-use and across different routes of administration is warranted.

Drinking refusal self-efficacy: Impacts on outcomes from a multi-site early intervention trial.

This study examines relationships between drink refusal self-efficacy (DRSE) and outcomes in Project Options (PO), an adolescent alcohol use early intervention. 1171 US high school students (39.3% Hispanic, 59.3% girls) participated in PO, reporting their demographics, alcohol use, and drinking reduction efforts at baseline, 30 days and three months later. Items from the Drug Taking Confidence Questionnaire for Adolescents (DTCQ-A) assessed DRSE. DRSE corresponded negatively with drinking at 30 days and, among drinkers, predicted fewer use reduction attempts at 30 days and three months. Results indicate that, unlike in treatment settings, DRSE may not correspond to improved early intervention outcomes.

Combination nicotine replacement therapy: strategies for initiation and tapering.

Several studies and meta-analyses have demonstrated the efficacy of combination nicotine replacement therapy (NRT) for patients who wish to quit smoking. However, there is limited guidance with respect to initiation and tapering of combination NRT. We attempt to review the evidence and rationale behind combination NRT, present the dosing used in combination NRT studies, and propose a step-down approach for tapering of combination NRT with integration of behavioral strategies.

Impact of Ethnic Composition on Mechanisms of Change in School-Based Substance Use Intervention Groups.

Delivering alcohol use intervention services in the school setting represents a key approach to engaging youth of all backgrounds, particularly underserved populations, in such programming. Relative progress has been made toward implementing culturally responsive services for youth; however, little is known about the role of ethnic composition on group processes purported to underlie mechanisms of change. We examined associations between ethnic group composition and therapeutic processes within a voluntary, school-based alcohol use intervention at seven schools across three cities (N groups = 353). Ethnic composition was characterized as: group ethnic diversity on a continuum, group ethnic homogeneity (i.e., where at least 66% of participants shared the same ethnicity), and comparing groups where one of the three largest ethnicities in the sample reached the majority (i.e., African-American vs. Hispanic vs. non-Hispanic white). Ratings on group processes were obtained from participants (satisfaction; belonging), facilitators (empathy; rapport), and coders (engagement; responsiveness). Mixed-effects models revealed that students in groups with African-American and Hispanic majorities reported a higher sense of satisfaction compared to groups with non-Hispanic white majorities. Facilitators endorsed expressing empathy more frequently with majority African-American and Hispanic groups than with non-Hispanic white groups. Study findings highlight the importance of considering different dimensions of ethnic composition when examining mechanisms of change in group intervention research.

Factors Associated With Accepting Assistance for Smoking Cessation Among Military Veterans.

INTRODUCTION: Cigarette smoking remains a significant health risk for Veterans. Increased understanding of factors that influence the tobacco cessation referral process within Veterans Affairs medical facilities is useful for enhancing utilization of smoking cessation treatment. The present study examined the association of demographic and health variables with whether smokers accepted referral for medication and/or tobacco cessation clinic. METHODS: Electronic medical record data (2011-2013) were obtained for a sample of US military Veterans who accepted cessation assistance from their health care provider. Demographic and diagnostic variables were examined to identify predictors of the types of assistance accepted (medication only, clinic referral only, or both). RESULTS: The sample includes 2941 Veterans, 10.3% female, 19.9% African American, 10.7% Hispanic, and 57.9% non-Hispanic white. Veterans averaged of 50.69 years of age (SD = 14.01), 31.5% had a substance use disorder diagnosis and 54.1% had a psychiatric diagnosis. Demographic and diagnostic information was compared across types of assistance accepted. Significant differences were found between those who accepted medications only and those who accepted either clinic referral or both medication and clinic referral. Veterans in the latter two categories were younger and more likely to have a psychiatric diagnosis than those accepting medication only. Women Veterans were significantly more likely than men to accept clinic referral plus medication. However, in contrast to men, almost none of the variables examined were associated with the type of assistance accepted by women. CONCLUSION: These findings indicate significant gender differences in influences on accepting assistance for smoking cessation among Veterans. IMPLICATIONS: Existing research identifies factors associated with unassisted quitting. However, little is known regarding the referral process, which is critical in connecting smokers with treatment. The present work is unique in employing electronic medical record data to examine factors associated with accepting different types of smoking cessation treatment referrals. This study represents an initial effort to elucidate the smoking cessation treatment referral process. These findings highlight the need to examine sex specific influences on smoking cessation treatment utilization and the importance of focusing on smokers with psychiatric disorders.

Feasibility and Reliability of a Coding System to Capture In-Session Group Behavior in Adolescents.

Limited research has explored the role of in-session behavior during motivational enhancement (ME) in group formats. The current study presents initial feasibility of assessing behavior of high school students (N = 425) attending Project Options, a voluntary secondary drug and alcohol prevention program utilizing ME techniques. Building on previous research exploring client language supporting/opposing health behavior, student group behavior was coded live at the specific utterance and global level; group leader behavior was also coded globally. Interrater reliability of the coding system was assessed, and preliminary validity of the coding system was examined by exploring associations between characteristics of group members and in-session group behavior. Initial reliability estimates were excellent for the specific behavior codes. Reliability of the global codes was mixed, with raters demonstrating good reliability on support for unhealthy behavior, opposition to unhealthy behavior, and support for healthy behavior. Reliability of the group leader codes was fair to poor. Greater percent healthy talk was associated with a lower percentage of group members reporting lifetime alcohol use. The results of the current study suggest that some in-session behavior at the group level can be coded reliably via live observation and that in-session behavior at the group level is associated with alcohol use prior to attending the program. Future research is needed to explore the utility of in-session behavior in terms of predicting future behavior at the group and individual level.

Smoking prevalence in urban and rural populations: findings from California between 2001 and 2012.

BACKGROUND: Tobacco smoking and related health problems are still major public health concerns in the United States despite the declining smoking prevalence. OBJECTIVES: This study explored differences in smoking prevalence between urban and rural areas potentially relevant to tobacco control efforts in California. METHODS: Public use adult smoking data from the California Health Interview Survey (CHIS) between 2001 and 2011-2012 were analyzed. A total of 282 931 adults were surveyed across the six CHIS cycles. A ZIP code-based geographic classification (Urban, Second-City, Suburban, and Town/Rural) was used to examine the association between smoking prevalence and area of residency. RESULTS: The overall smoking prevalence in California decreased from 17.0% in 2001 to 13.8% in 2011-2012. Within each CHIS cycle, the Town/Rural areas had the highest smoking prevalence, followed by Urban and Second-City areas, and Suburban areas had the lowest. Pooled data from all CHIS cycles showed a similar pattern, with rates in Urban, Second-City, Suburban and Town/Rural areas being 15.2%, 15.2%, 13.1% and 17.3%, respectively. Weighted multivariate logistic regression analysis indicated significantly higher odds of smoking in Urban, Second-City and Town/Rural areas compared to Suburban areas (all adjusted odds ratios > 1.10), although this trend varied by race/ethnicity, being present in non-Hispanic Whites and not present in Hispanics. CONCLUSIONS: Town/Rural and Urban populations of California are consistently at higher risk of smoking than Suburban populations. These results indicate a need for population-specific tobacco control approaches that address the lifestyle, behavior, and education of disparate populations within the same state or region.

E-cigarette use in the past and quitting behavior in the future: a population-based study.

OBJECTIVES: We examined whether smokers who used e-cigarettes are more likely to quit after 1 year than smokers who had never used e-cigarettes. METHODS: We surveyed California smokers (n = 1000) at 2 time points 1 year apart. We conducted logistic regression analyses to determine whether history of e-cigarette use at baseline predicted quitting behavior at follow-up, adjusting for demographics and smoking behavior at baseline. We limited analyses to smokers who reported consistent e-cigarette behavior at baseline and follow-up. RESULTS: Compared with smokers who never used e-cigarettes, smokers who ever used e-cigarettes were significantly less likely to decrease cigarette consumption (odds ratio [OR] = 0.51; 95% confidence interval [CI] = 0.30, 0.87), and significantly less likely to quit for 30 days or more at follow-up (OR = 0.41; 95% CI = 0.18, 0.93). Ever-users of e-cigarettes were more likely to report a quit attempt, although this was not statistically significant (OR = 1.15; 95% CI = 0.67, 1.97). CONCLUSIONS: Smokers who have used e-cigarettes may be at increased risk for not being able to quit smoking. These findings, which need to be confirmed by longer-term cohort studies, have important policy and regulation implications regarding the use of e-cigarettes among smokers.

Recall of anti-tobacco advertisements and effects on quitting behavior: results from the California smokers cohort.

OBJECTIVES: We assessed whether an anti-tobacco television advertisement called "Stages," which depicted a woman giving a brief emotional narrative of her experiences with tobacco use, would be recalled more often and have a greater effect on smoking cessation than 3 other advertisements with different intended themes. METHODS: Our data were derived from a sample of 2596 California adult smokers. We used multivariable log-binomial and modified Poisson regression models to calculate respondents' probability of quitting as a result of advertisement recall. RESULTS: More respondents recalled the "Stages" ad (58.5%) than the 3 other ads (23.1%, 23.4%, and 25.6%; P<.001). Respondents who recalled "Stages" at baseline had a higher probability than those who did not recall the ad of making a quit attempt between baseline and follow-up (adjusted risk ratio [RR]=1.18; 95% confidence interval [CI]=1.03, 1.34) and a higher probability of being in a period of smoking abstinence for at least a month at follow-up (adjusted RR=1.55; 95% CI=1.02, 2.37). CONCLUSIONS: Anti-tobacco television advertisements that depict visceral and personal messages may be recalled by a larger percentage of smokers and may have a greater impact on smoking cessation than other types of advertisements.

Hookah Use Predicts Cigarette Smoking Progression Among College Smokers.

INTRODUCTION: Hookah use is increasingly common among U.S. college students, but little is known regarding the relationship between hookah and cigarette use. The purpose of this study was to test the hypothesis that the added nicotine exposure from hookah use may accelerate the uptake of cigarettes. METHODS: An ethnically diverse sample of college students (n = 256; 43% female) who had smoked cigarettes in the past month completed 2 in-person interviews over 6 months. This study was a secondary analysis of data collected for a longitudinal study of young adult cigarette smoking patterns. Analyses examined 6-month changes in past 30 day cigarettes smoked and number of days smoking, controlling for age, nicotine dependence, marijuana use, and the respective baseline variable for each outcome. RESULTS: Current hookah use (any use in past 30 days) was endorsed by 34% of participants at baseline, while 94% reported lifetime use. Change in past 30 day number of cigarettes (p = .043) and number of smoking days (p = .040) differed significantly between those who did or did not report recent hookah use at baseline. Hookah users reported a greater number of cigarettes smoked at the 6-month follow-up, while nonusers decreased their smoking quantity. For number of smoking days in the past 30, hookah users reported a smaller decrease than nonusers. CONCLUSIONS: Recent hookah use predicted increased cigarette smoking over 6 months in a college sample. These are the first prospective data demonstrating this relationship, indicating the value of developing strategies to prevent hookah use among college students.

Smoking ban policies and their influence on smoking behaviors among current California smokers: a population-based study.

OBJECTIVE: To assess whether smoking ban policies are associated with smoking reduction and quit attempts among California smokers. METHODS: Data were examined for 1718 current smokers from follow-up telephone interviews conducted in 2011 of persons previously identified as smokers in a representative sample of the adult population of California. Population weighted logistic regressions controlling for demographic and other variables were used to evaluate the association between smoking ban policies (home, work, and town) and changes in tobacco use (past year quit attempt or reduction in smoking rate). RESULTS: Living in a home with a total ban was significantly associated with smoking reduction (adjusted odds ratio, AOR: 2.4, 95% CI: 1.4-4.2) and making a quit attempt (AOR: 2.3, 95% CI: 1.3-3.9) compared to living in a home with no home ban. Self-reported perception of an outdoor ban in one's city/town was associated with smoking reduction (AOR: 1.7, 95% CI: 1.02-2.7) and making a quit attempt (AOR: 1.8, 95% CI: 1.05-2.9). CONCLUSION: These results indicate that smoking bans not only protect nonsmokers from the harms of secondhand smoke, but are also associated with smoking reduction and cessation.

Use of e-cigarettes by individuals with mental health conditions.

BACKGROUND: Individuals with mental health conditions (MHC) have disproportionately high tobacco-related morbidity and mortality due to high smoking prevalence rates. As high consumers of cigarettes, smokers with MHC may consider using e-cigarettes as an alternative form of nicotine delivery. OBJECTIVE: Examination of the susceptibility to use e-cigarettes by individuals with MHC. METHODS: A U.S. population survey with a national probability sample (n=10,041) was used to assess ever use and current use of regular cigarettes, e-cigarettes, and U.S. Food and Drug Administration-approved pharmacotherapy for smoking cessation. Survey respondents provided information about whether they had been diagnosed with an anxiety disorder, depression, or other MHC. RESULTS: Individuals with MHC were more likely to have tried e-cigarettes (14.8%) and to be current users of e-cigarettes (3.1%) than those without MHC (6.6% and 1.1%, respectively; p<0.01). Ever smokers with MHC were also more likely to have tried approved pharmacotherapy (52.2% vs. 31.1%, p<0.01) and to be currently using these products (9.9% vs. 3.5%, p<0.01) than those without MHC. Additionally, current smokers with MHC were more susceptible to future use of e-cigarettes than smokers without MHC (60.5% vs. 45.3%, respectively, p<0.01). CONCLUSIONS: Smokers with MHC are differentially affected by the rise in popularity of e-cigarettes. Clinical interventions and policies for tobacco control on e-cigarettes should take into account the possible outcomes and their implications for this priority population.

Perceived price sensitivity by ethnicity and smoking frequency among California Hispanic and non-Hispanic white smokers.

OBJECTIVES: Little is currently known about price sensitivity across ethnic groups as well as for non-daily smokers. To address this issue, this study compared perceived price sensitivity across smoking status (daily and non-daily) and within ethnicity (Hispanic and non-Hispanic White) in a recent representative population survey of California smokers. METHODS: This study employed data from the 2008 California Tobacco Survey (CTS), a large population-based random-digit-dialed telephone survey. Participants were 1,777 non-Hispanic White and 450 Hispanic respondents who had smoked at least 100 cigarettes and currently smoked daily or on some days. RESULTS: Differences in perceived price sensitivity were found by ethnicity when controlling for age, gender, and cigarette consumption. Comparisons across ethnic groups indicated that Hispanic smokers, in general, have more price-sensitive perceptions than non-Hispanic White smokers. However, daily versus non-daily status had no effect on price sensitivity when controlling for cigarette quantity. CONCLUSIONS: These findings indicate that pricing increases may be differentially influential for Hispanic compared with non-Hispanic White smokers across smoking status categories.

A prospective study of the effects of the DRD2/ANKK1 TaqIA polymorphism and impulsivity on smoking initiation.

This study tested whether DRD2/ANKK1 TaqIA genotype predicted smoking initiation and subsequent use, and effects were mediated by sensation seeking and negative urgency. Between 2009 and 2012, college never smokers (n = 387) completed six assessments over 15 months; those who reported smoking were classified as initiators. Logistic regression indicated that the A1 allele was associated with initiation (p = .003). This effect was partially mediated by sensation seeking and negative urgency. Effects were stronger in Asian Americans. Findings have implications for improving prevention by including elements focused on urges to seek positive or negative reinforcement. Limitations and future directions are discussed.

Post-legalization changes in marijuana use in a sample of young California adults.

INTRODUCTION: Increasing marijuana use among young adults is a concern due to substantial acute and chronic health risks. More widespread use of marijuana may also lead to increased use of nicotine and tobacco products. California legalized commercial sales of marijuana for recreational use as of January 2018. To our knowledge no studies to date have examined subsequent changes in marijuana use. The goal of this study was to test the hypothesis that marijuana use frequency increased following legalization of recreational sales. We also hypothesized that increased marijuana frequency would predict greater frequency of nicotine/tobacco consumption. METHODS: The study was a secondary analysis of a longitudinal study of tobacco use among non-daily cigarette smokers. Participants were 563 young adults (aged 18-24) enrolled in 2015-16 and followed quarterly for 3 years. RESULTS: A piecewise multilevel regression model indicated that marijuana use frequency did not change over time, including following legalization. More frequent use was associated with younger age and identifying as white (ps < 0.001, which did not change after legalization. Marijuana frequency was moderated by sex (p < .001), with women reporting increasing and men decreasing use over time. It was also associated with tobacco use, and particularly with e-cigarette use following legalization (ps < 0.05). CONCLUSIONS: Findings suggest legalization of recreational marijuana sales had a negligible overall impact on days of use among young adults, but may have prompted increased interest in marijuana among some, particularly women and e-cigarette users. The continuously evolving landscape around these products indicates that ongoing surveillance is critical.

Self-efficacy mediates the relationship between depression and length of abstinence after treatment among youth but not among adults.

We present two studies testing whether self-efficacy mediates the relationship between depression symptoms and initial abstinence duration after substance use treatment in adolescents and adults. Study 1: Adolescents (N = 208) were recruited from substance use treatment in an urban/suburban area in the United States between 1999 and 2005 and were followed monthly after discharge. Measures used were affective state (depression symptoms), drug-taking coping self-efficacy, and length of abstinence after treatment. Self-efficacy fully mediated the relationship between depression and time to use. Study 2: In a similar study design, adult veterans (N = 160) in outpatient substance user treatment were interviewed during treatment and monthly following treatment. Depression was negatively associated with self-efficacy, and self-efficacy predicted time to first substance use, but there was no mediation. Study implications and limitations are noted.