Health risk behaviors in relation to making a smoking quit attempt among adolescents

The Mediating Effect of Concurrent Changes in Dietary Behaviors on the Associations Between Intervention and Changes in Adiposity Outcomes: Evidence from a Cluster-Randomized Controlled Trial

Behavioral interventions have been shown to be effective in improving dietary behavior and reducing childhood obesity. There is limited evidence on how concurrent changes in dietary behavior from intervention studies affect childhood obesity. The present study aimed to evaluate the mediating effect of concurrent changes in dietary behaviors between the intervention and changes in adiposity indicators. This study included 1180 children from the DECIDE-Children study, which was conducted across three areas in China, aiming to promote children's healthy diet and physical activity, while also engaging schools and families to support children's behavioral changes. Dietary behaviors were collected by a revised version of the Food Frequency Questionnaire and a self-designed questionnaire. Adiposity outcomes were objectively measured by trained personnel. Generalized linear mixed models were used to estimate the association between scores of dietary behavioral changes and adiposity indicator changes. Mediation analyses were used to evaluate how scores of dietary behavioral changes mediated the effect of intervention on adiposity indicator changes. Six hundred children in the intervention group and five hundred and eight in the control group with both baseline and follow-up data were included. Each increase in dietary behavioral change score was associated with a 0.06 (p = 0.016) decrease in changes in BMI and other adiposity indicators. Scores of dietary behavioral changes mediated 13.87% (p < 0.001), 11.81% (p < 0.001), 17.60% (p = 0.024), and 16.78% (p = 0.032) of the association between intervention and changes in body mass index (BMI), BMI z-score, body fat percentage, and waist circumference, respectively. Scores of dietary behavioral changes mediated the intervention effect on adiposity indicator changes. Future interventions targeting childhood obesity should incorporate promoting multiple dietary behaviors simultaneously.

First Used Nicotine/Cannabis Product and Associated Outcomes in Late Adolescents

BACKGROUND

Nicotine and tobacco product (NTP) and cannabis use are common in adolescence/young adulthood and increase risk for negative psychosocial outcomes. This study investigated associations among adolescent/young adults' initial experiences with NTPs, lifetime frequency of substance use, substance-related problems, and mental health symptoms.

METHOD

Adolescents and young adults enrolled in a study on NTP and cannabis use were asked at what age they initiated the use of NTPs and were assigned to groups based on which product or substance(s) they reported using at the earliest age. Participants who reported use of NTPs (in isolation, without cannabis) first (N = 78, "NTP-only"), simultaneous use of NTPs and cannabis first (e.g., blunt or bowl; N = 25, "Simult-only"), use of both NTPs in isolation and simultaneous use at the same age (N = 48, "NTP + Simult"), and no NTP use (N = 53, "NTP-naïve") were compared on substance use, substance-related problems, and mental health symptoms.

RESULTS

Groups differed on lifetime frequency of NTP, simultaneous, and cannabis use, with NTP users reporting more substance use episodes and substance-related problems than the NTP-naïve group. The lifetime frequency of cannabis use did not differ across NTP use groups. NTP use was associated with increased anxiety and depression, with no significant differences between groups.

CONCLUSIONS

Adolescents and young adults who use nicotine may be at increased risk for greater nicotine use and mental health consequences, but initiating NTP use simultaneously with cannabis may not increase the risk of negative outcomes above and beyond nicotine initiation. Prospective longitudinal research is needed to establish temporal associations between first-used NTP/cannabis products and relevant outcomes.

Combined Race and Gender Trend Disparities in Depressive Symptoms among U.S. High School Students: 1999-2019

In 2019, over 3.2 million adolescents in the U.S. reported depressive symptoms-a number that continues to increase annually. Not only can depression negatively impact an adolescent's academic performance, social development, and cognitive function, but it is also the most common condition associated with suicide. Previous studies have reported prevalence rates and statistical trends by either gender or race. We conducted an in-depth analysis of the current racial and gender trend disparities in adolescent depressive symptoms by examining linear and quadratic trends from the Youth Behavior Risk Survey (N = 158,601) over two decades (1999-2019), stratified by gender and race subgroups, both separately and combined. This novel quantitative method allows for a more nuanced approach when exploring social and cultural influences on adolescent depressive symptoms. We found a significant difference in the prevalence of depressive symptoms between males and females among Black, Hispanic, and multiracial adolescents in each separate year of pooled data. However, an increased prevalence trend over the 20-year period was only seen among the females of these three racial categories. White and Asian female adolescents also exhibited a statistical increase in prevalence of depressive symptoms over time. The only group of males with a significant trend increase over time were White adolescents. Understanding the intersection of gender and race in adolescent depressive symptoms trends enhances evidence for nurses and other healthcare professionals when developing and implementing targeted, effective prevention and intervention measures.

Cigarette dependence is more prevalent and increasing among US adolescents and adults who use cannabis, 2002-2019

SIGNIFICANCE

Cannabis use is increasing among cigarette smokers. If cannabis use is associated with cigarette dependence, a barrier to smoking cessation, this could have public health implications for tobacco control. The current study estimated the prevalence of cigarette dependence among US individuals who smoke cigarettes by cannabis use status, and investigated trends in cigarette dependence from 2002 to 2019 among cigarette smokers by cannabis use status and cigarette consumption (ie, cigarettes per day, CPD).

METHODS

Data were drawn from the 2002-2019 annual National Survey on Drug Use and Health and included US individuals aged 12+ years who used cigarettes at least once in the past month (n=231 572). Logistic regression was used to estimate the prevalence of cigarette dependence, measured as time to first cigarette <30 min, by past-month cannabis use (no use, non-daily use, daily use), and to estimate trends in cigarette dependence from 2002 to 2019 overall and stratified by cannabis use and smoking level (light, 1-5 CPD; moderate, 6-15 CPD; heavy, 16+ CPD).

RESULTS

Across all levels of cigarette use, cigarette dependence was significantly more common among individuals with daily cannabis use compared with those with non-daily or no cannabis use. From 2002 to 2019, cigarette dependence increased among cigarette smokers with non-daily cannabis use, and among light and moderate cigarette smokers with no cannabis use.

CONCLUSIONS

US individuals who use both cigarettes and cannabis report a higher prevalence of cigarette dependence relative to individuals who use cigarettes and do not use cannabis at virtually all levels of cigarette consumption. Further, cigarette dependence is increasing in the USA both among those who use and do not use cannabis. Given the increase in cannabis use among those using cigarettes, efforts to elucidate the nature of the association between cannabis and cigarette dependence are needed.

Alternative Tobacco Product Use and Smoking Quit Attempts Among Teenagers in the United States: A Cross-Sectional Study

Background

Public health interventions have heightened awareness of risk factors and ill effects of tobacco use. Though sales of conventional tobacco products have been steadily declining, there is the advent of a new generation of alternative tobacco products marketed with claims of reduced harms and smoking cessation aids. These products are increasing in prevalence and popularity among adolescents.

Aim

The aim of this study is to assess the prevalence of tobacco quit attempts in adolescents in the United States and examine its relationship to the use and self-reported awareness of two alternative tobacco products: e-cigarettes and heated tobacco products (HTPs).

Methods

This is a cross-sectional analysis of data (2,271) from the 2019 National Youth Tobacco Survey (NYTS) of middle and high school students in the United States. Logistic regression analysis was employed to determine the odds of tobacco quit attempts adjusting for age, race, gender, school type, and household tobacco exposure.

Results

The overall prevalence of tobacco quit attempts among e-cigarette users and HTP users was 52.50% and 5.20%, respectively. Results of multivariate regression analyses identified age (OR=0.74, 95% CI:0.57-0.96), race (OR=1.41, 95% CI:1.14-1.75), and household tobacco smoke exposure (OR=1.19, 95% CI:1.01-1.39) as the main factors that are significantly associated with tobacco quit attempts adjusting for all other covariates.

Conclusion

This study did not show a statistically significant association between the awareness and use of e-cigarettes, and heated tobacco products and tobacco smoking quit attempts. Race, age, and exposure to household tobacco smoking were positively associated with quit attempts. Further studies are needed to clarify whether the use and awareness of e-cigarettes and HTPs are associated with tobacco smoking quit attempts within the US adolescent population.

Addressing concerns about smoking cessation and mental health: theoretical review and practical guide for healthcare professionals

Smoking rates in people with depression and anxiety are twice as high as in the general population, even though people with depression and anxiety are motivated to stop smoking. Most healthcare professionals are aware that stopping smoking is one of the greatest changes that people can make to improve their health. However, smoking cessation can be a difficult topic to raise. Evidence suggests that smoking may cause some mental health problems, and that the tobacco withdrawal cycle partly contributes to worse mental health. By stopping smoking, a person's mental health may improve, and the size of this improvement might be equal to taking anti-depressants. In this theoretical review and practical guide we outline ways in which healthcare professionals can raise the topic of smoking compassionately and respectfully to encourage smoking cessation. We draw on evidence-based methods like cognitive behavioural therapy, and outline approaches that healthcare professionals can use to integrate these methods into routine care.

The relationship between asthma diagnosis and E-Cigarette use among youth and young adults: the mediation effects of anxiety, depression, and impulsivity and the moderation effects of substance use

INTRODUCTION

Youth and young adults with asthma use electronic cigarettes (e-cigarettes) at a higher rate than those without asthma. However, the factors that influence e-cigarette use in this vulnerable population are scarce. Therefore, the study aim was to assess the effects of anxiety, depression, impulsivity, and substance use in the relationship between e-cigarette use and youth and young adults with asthma status.

METHOD

We enrolled youth and young adults (15-25 years old) in Alabama with a clinical diagnosis of asthma (n = 151) or without a diagnosis of any chronic pulmonary disease (n = 132; reference group). Validated questionnaires were administered to collect demographic data and assess susceptibility to e-cigarette use, current use of e-cigarettes, anxiety, depression, impulsivity, and substance use (alcohol and cannabis). We then conducted parallel mediation analyses to test the mediational effects of anxiety, depression, and impulsivity, and moderation analyses to assess the moderation effects of substance use in the relationship between asthma and e-cigarette use.

RESULTS

Susceptibility to e-cigarette use and current use of e-cigarettes were both lower among youth and young adults with asthma. After controlling for covariates, anxiety, depression, and impulsivity were not significant mediators of the relationships between asthma and susceptibility to e-cigarette use and current use of e-cigarettes. However, the frequency of cannabis use in the past 30 days moderated the relationship between asthma and susceptibility to e-cigarette use (Unstandardized beta = - 2.03, p = 0.046), such that more frequent cannabis use was associated with less susceptibility.

CONCLUSION

Among youth and young adults with asthma, cannabis use was associated with reduced susceptibility to e-cigarette use. Longitudinal assessments of this population are needed to better assess the temporal relationship between asthma, comorbid substance use, and e-cigarette use among young people with asthma to avoid pulmonary complications.

Cannabis and Alcohol Co-Use in a Smoking Cessation Pharmacotherapy Trial for Adolescents and Emerging Adults

INTRODUCTION

The co-use of cannabis and alcohol among tobacco-using youth is common. Alcohol co-use is associated with worse tobacco cessation outcomes, but results are mixed regarding the impact of cannabis on tobacco outcomes and if co-use leads to increased use of non-treated substances. This secondary analysis from a youth smoking cessation trial aimed to (1) evaluate the impact of cannabis or alcohol co-use on smoking cessation, (2) examine changes in co-use during the trial, and (3) explore secondary effects of varenicline on co-use.

METHODS

The parent study was a 12-week, randomized clinical trial of varenicline for smoking cessation among youth (ages 14-21, N = 157; Mage = 19, 40% female; 76% White). Daily cigarette, cannabis, and alcohol use data were collected via daily diaries during treatment and Timeline Follow-back for 14 weeks post-treatment.

RESULTS

Baseline cannabis co-users (68%) had double the odds of continued cigarette smoking throughout the trial compared with noncannabis users, which was pronounced in males and frequent cannabis users. Continued smoking during treatment was associated with higher probability of concurrent cannabis use. Baseline alcohol co-users (80%) did not have worse smoking outcomes compared with nonalcohol users, but continued smoking was associated with higher probability of concurrent drinking. Varenicline did not affect co-use.

CONCLUSIONS

Inconsistent with prior literature, results showed that alcohol co-users did not differ in smoking cessation, whereas cannabis co-users had poorer cessation outcomes. Youth tobacco treatment would benefit from added focus on substance co-use, particularly cannabis, but may need to be tailored appropriately to promote cessation.

IMPLICATIONS

Among youth cigarette smokers enrolled in a pharmacotherapy evaluation clinical trial, alcohol and/or cannabis co-use was prevalent. The co-use of cannabis affected smoking cessation outcomes, but more so for males and frequent cannabis users, whereas alcohol co-use did not affect smoking cessation. Reductions in smoking were accompanied by concurrent reductions in alcohol or cannabis use. Substance co-use does not appear to affect all youth smokers in the same manner and treatment strategies may need to be tailored appropriately for those with lower odds of smoking cessation.

Developmental Trajectories of Tobacco/Nicotine and Cannabis Use and Patterns of Product Co-use in Young Adulthood

Introduction

Concurrent co-use of tobacco/nicotine and cannabis (T/C) products is common among young people and may increase risks for negative health and psychosocial outcomes, but little is known about developmental patterns of T/C co-use. This study aimed to identify distinct trajectory classes of concurrent T/C co-use from ages 16 to 21 and compare groups on T/C co-use behaviors in young adulthood.

Methods

Participants (n = 2497) reported T/C use on annual online surveys from 2015 to 2019 (ages 16-22). We used parallel process growth mixture models to model simultaneous trajectories of past-month cigarette, e-cigarette, smokeless tobacco, and cannabis use and identify latent classes of T/C trajectories. Classes were then compared on types and number of T/C products used and types of T/C co-use in young adulthood.

Results

Models revealed 4 T/C classes: Low/No T/C Use, Early Concurrent T/C Co-use, Late Concurrent T/C Co-use, and Tobacco Quitters/Cannabis Maintainers. Compared to other classes, the Early Concurrent T/C Co-use group-individuals with rapid progression to concurrent T/C co-use during adolescence-were more likely to report poly-tobacco use, poly-cannabis use, same-occasion sequential T/C co-use and T/C co-administration (ie, mixing T/C) of both combustible and vaping products in young adulthood.

Conclusion

Early progression to concurrent T/C co-use in adolescence is prospectively linked to poly-product use and co-use of T/C products in young adulthood. Prevention efforts targeting co-use of T/C products in adolescence may help to reduce riskier patterns of T/C use and co-use in young adulthood.

Is cannabis use associated with tobacco cessation outcome? An observational cohort study in primary care

BACKGROUND

Some studies suggest cannabis use negatively affects tobacco cessation outcomes, but findings have been mixed. We examined whether cannabis use was associated with tobacco cessation outcomes in a real-world primary care setting.

METHODS

The analytic dataset consisted of 35,246 patients who enrolled between 2014 and 2016 in a primary care-based smoking cessation program in Ontario, Canada. Past 30-day cannabis use, for recreational or medical purposes, was self-reported at enrollment. Thirty-day point prevalence tobacco smoking abstinence was self-reported via online or telephone survey at 6 months post-enrollment.

RESULTS

Thirty days prior to enrollment, 79.9 % of patients had not used cannabis, 16.3 % used cannabis for recreational purposes only, and 3.8 % used cannabis for medical purposes. Unadjusted and adjusted odds of tobacco cessation at 6 months were reduced for patients using cannabis compared to non-users (ORs = 0.76-0.86, ps<0.05). When cannabis use was categorized by purpose, both unadjusted and adjusted odds of cessation were significantly lower for recreational users (ORs = 0.77-0.84, ps<0.05). Medical users had decreased odds of cessation in unadjusted analysis (OR = 0.74, 95 % CI = 0.61-0.89, p = 0.001), but not after adjustment for potential confounders. However, post-estimation contrasts did not indicate a significant difference between the effect of recreational and medical cannabis use.

CONCLUSIONS

In a large real-world sample of patients seeking smoking cessation treatment, concurrent cannabis use was associated with decreased success with quitting smoking. Recreational cannabis use was consistently related to poorer cessation outcomes, but medical use was not. Additional research is needed to inform treatment strategies for this growing sub-population of smokers.

Is Cannabis Use Associated With Increased Risk of Cigarette Smoking Initiation, Persistence, and Relapse? Longitudinal Data From a Representative Sample of US Adults

OBJECTIVE

The current study prospectively investigated the relationship between cannabis use and cigarette smoking initiation, persistence, and relapse during a 3-year period among adults in the United States.

METHODS

Analyses included respondents who completed Waves 1 (2001-2002) and 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions and responded to questions about cannabis use and smoking status (n = 34,639). Multivariable logistic regression models were used to calculate the odds of cigarette use at Wave 2 among Wave 1 daily smokers, nondaily smokers, former smokers, and nonsmokers by Wave 1 cannabis use.

RESULTS

In unadjusted analyses, Wave 1 cannabis use was associated with increased odds of Wave 2 daily and nondaily smoking for Wave 1 nonsmokers (daily OR = 2.90; 95% CI, 2.10-4.00; nondaily OR = 4.45; 95% CI, 3.97-5.00) and Wave 2 relapse to daily and nondaily smoking for Wave 1 former smokers (daily OR = 4.18, 95% CI, 3.01-5.81; nondaily OR = 5.24; 95% CI, 3.74-7.34). Wave 1 cannabis use was associated with decreased odds of Wave 2 smoking cessation for Wave 1 daily cigarette smokers (OR = 0.57; 95% CI, 0.51-0.64). The associations remained significant for daily smoking initiation (OR = 1.43; 95% CI, 1.06-1.93), daily smoking relapse (OR = 1.47; 95% CI, 1.00-2.16), and smoking cessation (OR = 0.77; 95% CI, 0.69-0.87) after adjusting for demographics and psychiatric disorders. Associations remained significant for nondaily smoking initiation (OR = 1.85; 95% CI, 1.59-2.16) and nondaily smoking relapse (OR = 1.63; 95% CI, 1.05-2.54) after adjusting for these covariates as well as for alcohol and substance use disorders.

CONCLUSIONS

Cannabis use was associated with increased initiation of, persistence of, and relapse to cigarette smoking. Additional attention to cannabis use in tobacco control efforts and in clinical settings aimed at reducing cigarette smoking and smoking-related negative consequences may be warranted.

Cigarette smoking quit ratios among adults in the USA with cannabis use and cannabis use disorders, 2002-2016

BACKGROUND

The prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders (CUDs), relative to those who do not. The current study examined cigarette quit ratios from 2002 to 2016 among US adults with and without cannabis use and CUDs.

METHODS

The current study analysed US adults aged 18 years and older from the National Survey on Drug Use and Health, an annual cross-sectional study. Quit ratios (ie, proportion of former smokers among ever-smokers) were calculated annually from 2002 to 2016. Time trends in quit ratios by cannabis use/CUDs were tested using logistic regression.

RESULTS

In 2016, the quit ratios for people with any cannabis use (23%) and CUDs (15%) were less than half the quit ratios of those without cannabis use and CUDs (51% and 48%, respectively). After controlling for demographics and substance use disorders, the quit ratio did not change from 2002 to 2016 among persons with CUD, though it non-linearly increased among persons with cannabis use, without cannabis use and without CUDs. Quit ratios increased more rapidly among those who reported past-month cannabis use compared with those without past-month cannabis use.

CONCLUSIONS

Cigarette smoking quit ratios remain dramatically lower among people who use cannabis and have CUDs and quit ratios did not change significantly from 2002 to 2016 among those with CUDs. Public health and clinical attention are needed to increase quit ratios and reduce harmful cigarette smoking consequences for persons with cannabis use and CUDs.

The effects of self-regulation strategies following moderate intensity exercise on ad libitum smoking

INTRODUCTION

The purpose of the present study was to examine whether self-regulation strategies can further extend the effect of moderate intensity exercise on smoking delay.

METHOD

Participants were 40 adult smokers who were randomly assigned into two groups: control and self-regulation. A repeated measures design was adopted including a neutral condition (20 min video) and an exercise condition (20 min moderate intensity exercise).

RESULTS

The results showed that smoking delay increased significantly for both groups; however, the increase for the self-regulation group was significantly larger than that of the control group.

CONCLUSIONS

The results support the anti-smoking effects of acute exercise; furthermore, they highlight the usefulness of self-regulation strategies, and in particular goal setting, in extending smoking delay. The present findings provide important evidence for the exercise and smoking literature and useful directions for the development of smoking cessation interventions.

Socioeconomic Disparities in Health Risk Behavior Clusterings Among Korean Adolescents

PURPOSE

This study aims to investigate the socioeconomic disparities in health risk behavior clusterings among Korean adolescents and to assess the mediating role of stress on this association.

METHOD

We analyzed the 2015 Korean Youth Risk Behavior Survey, a nationally representative sample of Korean middle and high school students aged 12-18 years (N = 68,043). The co-occurrence of multiple health risk behaviors (i.e., cigarette smoking, drinking, and unprotected sex) was used to operationalize health risk behavior clusterings that ranged from zero to three. Ordinal and multinomial logistic regressions were conducted to examine socioeconomic disparities in health risk behavior clusterings and mediating effect of perceived stress between socioeconomic status (SES) and health risk behaviors.

RESULTS

When SES was grouped into five groups, adolescents in the lowest SES [adjusted odds ratio (AOR) = 2.15, 95% confidence interval (CI) = 1.90-2.44] and the highest SES (AOR = 1.29, 95% CI = 1.18-1.40) showed a higher likelihood of risk behavior clusterings than any other SES groups. Stress partially mediated the relationship between SES and co-occurrence of multiple health risk behaviors while accounting for their demographic characteristics. Adolescents in the lowest and highest SES reported higher stress than other SES groups, which, in turn, was associated with the co-occurrence of multiple health risk behaviors.

CONCLUSION

The results suggest that perceived stress level partly explains why affluent as well as low-SES adolescents engage in multiple risk behaviors. The findings also discourage use of a linear approach in socioeconomic disparity investigation in relation to adolescent health behaviors.

Preclinical Studies of Cannabinoid Reward, Treatments for Cannabis Use Disorder, and Addiction-Related Effects of Cannabinoid Exposure

Cannabis use has become increasingly accepted socially and legally, for both recreational and medicinal purposes. Without reliable information about the effects of cannabis, people cannot make informed decisions regarding its use. Like alcohol and tobacco, cannabis can have serious adverse effects on health, and some people have difficulty discontinuing their use of the drug. Many cannabis users progress to using and becoming addicted to other drugs, but the reasons for this progression are unclear. The natural cannabinoid system of the brain is complex and involved in many functions, including brain development, reward, emotion, and cognition. Animal research provides an objective and controlled means of obtaining information about: (1) how cannabis affects the brain and behavior, (2) whether medications can be developed to treat cannabis use disorder, and (3) whether cannabis might produce lasting changes in the brain that increase the likelihood of becoming addicted to other drugs. This review explains the tactics used to address these issues, evaluates the progress that has been made, and offers some directions for future research.

The association between cannabis use and motivation and intentions to quit tobacco within a sample of Australian socioeconomically disadvantaged smokers

This study aimed to (i) describe concurrent and simultaneous tobacco and cannabis use and (ii) investigate the association between cannabis use and motivation and intentions to quit tobacco in a sample of socioeconomically disadvantaged smokers. A cross-sectional survey was conducted in 2013 and 2014 with current tobacco smokers receiving aid from two community service organizations in New South Wales, Australia. At least weekly cannabis use for the month prior to survey, motivation to quit tobacco and intentions to quit tobacco were measured in 369 participants (77% consent rate). Regressions were carried out to investigate associations between weekly cannabis use and motivation and intentions to quit tobacco.Concurrent tobacco and cannabis use was reported by 19% (n = 71) of the sample and of these users, 100% reported simultaneous use. Although regular cannabis use was significantly associated with lower motivation to quit tobacco, it was not significantly associated with intentions to quit tobacco in the next 30 days. Concurrent cannabis use is common in disadvantaged smokers and may play a role in decreased motivation to quit tobacco; however, it does not appear to be associated with intentions to quit in a sample of disadvantaged smokers.

Does cannabis use moderate smoking cessation outcomes in treatment-seeking tobacco smokers? Analysis from a large multi-center trial

BACKGROUND AND OBJECTIVE

Tobacco and cannabis are frequently used in combination and cannabis co-use may lead to poor tobacco cessation outcomes. Therefore, it is important to explore if cannabis co-use is associated with a reduced likelihood of achieving successful tobacco abstinence among treatment-seeking tobacco smokers. The present study examined whether current cannabis use moderated tobacco cessation outcomes after 12 weeks of pharmacological treatment (varenicline vs. nicotine patch vs. placebo) with adjunctive behavioral counseling.

METHODS

Treatment-seeking tobacco smokers (N = 1,246) were enrolled in an intent-to-treat study, of which 220 were current cannabis users. Individuals were randomly assigned to 12 weeks of placebo (placebo pill plus placebo patch), nicotine patch (active patch plus placebo pill), or varenicline (active pill plus placebo patch), plus behavioral counseling. The primary endpoint was biochemically verified 7-day point prevalence abstinence at the end of treatment.

RESULTS

Controlling for rate of nicotine metabolism, treatment arm, age, sex, alcohol, and level of nicotine dependence, cannabis users were as successful at achieving biochemically verified 7-day point prevalence abstinence compared to tobacco-only smokers.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Findings suggest that cannabis use does not hinder the ability to quit tobacco smoking. Future tobacco cessation studies should employ prospective, longitudinal designs investigating cannabis co-use over time and at different severity levels. (Am J Addict 2016;25:291-296).

Do brief alcohol interventions reduce tobacco use among adolescents and young adults? A systematic review and meta-analysis

This meta-analysis synthesizes studies of brief interventions (BIs) that targeted alcohol consumption and reported both alcohol and tobacco outcomes. It examines whether BIs reduce alcohol and tobacco use for adolescents and young adults among interventions that (1) directly targeted tobacco and alcohol use, or (2) did not target tobacco use but measured it as a secondary outcome. Multiple databases and grey literature sources were searched (1980-2012) resulting in the identification of 18 randomized or controlled quasi-experimental studies (5949 participants). Analyses were conducted using random effects inverse-variance weighted three-level models. BIs were associated with a significant reduction in alcohol consumption relative to control groups [g = 0.11, 95 % CI (0.04, 0.17)] but not with a significant decrease in tobacco use [g = 0.07, 95 % CI (-0.01, 0.16)]. Directly addressing tobacco was not a significant moderator affecting tobacco use outcomes. Post-hoc exploratory analysis revealed potential questions to address with future research.

Feasibility of a group cessation program for co-smokers of cannabis and tobacco

INTRODUCTION AND AIMS

This study aims to evaluate the feasibility and effects of a group cessation program for cannabis and tobacco co-smokers.

DESIGN AND METHODS

Using a repeated-measures design with pre-, post- and six months follow-up assessments, feasibility (intervention utilisation, safety and acceptability) and changes in substance use behaviour and mental health were evaluated. The intervention consisted of five to six group sessions and was based on current treatment techniques (e.g. motivational interviewing, cognitive-behavioural therapy, and self-control training). In total, 77 adults who used cannabis at least once weekly and cigarettes or similar products at least once daily participated in the study.

RESULTS

Within nine months, the target sample size was reached. Treatment retention was 62.3%, and only three participants discontinued treatment due to severe problems (concentration problems, sleeping problems, depressive symptoms, and/or distorted perceptions). In total, 41.5% and 23.4% reported abstinence from cigarettes, cannabis or both at the end of treatment and the follow-up, respectively. The individual abstinence rates for cigarettes and cannabis were 32.5% and 23.4% (end of treatment) and 10.4% and 19.5% (follow-up), and 13% (end of treatment) and 5.2% (follow-up) achieved dual abstinence validated for tobacco abstinence. Over the study period, significant decreases in tobacco and cannabis use frequencies and significant improvements in additional outcomes (drinking problems, symptoms of cannabis use disorder, nicotine dependence, depression and anxiety) were achieved.

DISCUSSION AND CONCLUSIONS

The evaluated intervention for co-smokers is feasible regarding recruitment, intervention retention and safety. The promising results regarding substance use and mental health support a randomised controlled trial to evaluate effectiveness.

Effectiveness of different Web-based interventions to prepare co-smokers of cigarettes and cannabis for double cessation: a three-arm randomized controlled trial

BACKGROUND

The relationship between tobacco and cannabis use is strong. When co-smokers try to quit only one substance, this relationship often leads to a substitution effect, that is, the increased use of the remaining substance. Stopping the use of both substances simultaneously is therefore a reasonable strategy, but co-smokers rarely report feeling ready for simultaneous cessation. Thus, the question of how co-smokers can be motivated to attempt a simultaneous cessation has arisen. To reach as many co-smokers as possible, we developed brief Web-based interventions aimed at enhancing the readiness to simultaneously quit tobacco and cannabis use.

OBJECTIVE

Our aim was to analyze the efficacy of three different Web-based interventions designed to enhance co-smokers' readiness to stop tobacco and cannabis use simultaneously.

METHODS

Within a randomized trial, three brief Web-based and fully automated interventions were compared. The first intervention combined the assessment of cigarette dependence and problematic cannabis use with personalized, normative feedback. The second intervention was based on principles of motivational interviewing. As an active psychoeducational control group, the third intervention merely provided information on tobacco, cannabis, and the co-use of the two substances. The readiness to quit tobacco and cannabis simultaneously was measured before and after the intervention (both online) and 8 weeks later (online or over the phone). Secondary outcomes included the frequency of cigarette and cannabis use, as measured at baseline and after 8 weeks.

RESULTS

A total of 2467 website users were assessed for eligibility based on their self-reported tobacco and cannabis co-use, and 325 participants were ultimately randomized and analyzed. For the post-intervention assessment, generalized estimating equations revealed a significant increase in the readiness to quit tobacco and cannabis in the total sample (B=.33, 95% CI 0.10-0.56, P=.006). However, this effect was not significant for the comparison between baseline and the 8-week follow-up assessment (P=.69). Furthermore, no differential effects between the interventions were found, nor were any significant intervention or time effects found on the frequency of tobacco or cannabis use.

CONCLUSIONS

In the new field of dual interventions for co-smokers of tobacco and cannabis, Web-based interventions can increase the short-term readiness to quit tobacco and cannabis simultaneously. The studied personalized techniques were no more effective than was psychoeducation. The analyzed brief interventions did not change the secondary outcomes, that is the frequency of tobacco and cannabis use.

TRIAL REGISTRATION

International Standard Randomized Controlled Trial Number (ISRCTN): 56326375; http://www.isrctn.com/ISRCTN56326375 (Archived by WebCite at http://www.webcitation.org/6UUWBh8u0).

Longitudinal examination of predictors of smoking cessation in a national sample of U.S. adolescent and young adult smokers

INTRODUCTION

To better inform the development of smoking cessation programs for adolescents and young adults, a prospective study was employed to systematically examine behavioral, demographic, health, and psychosocial determinants of smoking cessation.

METHODS

Data from the 2003-2005 National Youth Smoking Cessation Survey were used. Of 2,582 smokers aged 16-24 years sampled, 1,354 provided complete baseline telephone interview data on the study variables, and their self-reported smoking status at 2-year follow-up was known (currently smoking vs. not smoking). Multivariable logistic regression analysis was employed to examine independent predictors of smoking status (outcome variable) at the 2-year follow-up period.

RESULTS

Four of 5 participants remained smokers after 2 years. Of the high nicotine dependence smokers, 90% remained smokers at follow-up; of the low nicotine dependence smokers, 77% remained smokers at follow-up. Higher nicotine dependence smokers started smoking earlier in life (13.2 vs. 14.3 years; p < .05). Similarly, those not smoking at the 2-year follow-up period started smoking later in life than those still smoking (14.5 vs. 13.7 years). Along with nicotine dependence, various psychosocial and demographic variables at baseline predicted smoking status at the 2-year follow-up period.

CONCLUSIONS

Identifiable demographic and psychosocial factors influence smoking behavior among U.S. adolescents and young adults. Even low nicotine dependence is a strong predictor of follow-up smoking behavior. This, coupled with the early smoking age of high nicotine dependence smokers, underscores the importance of early nicotine avoidance among youth.

Marijuana and alcohol use and attempted smoking cessation in adolescent boys and girls

BACKGROUND

This study sought to determine the relationship between the frequency of current marijuana and alcohol use and cigarette quit attempts in male and female adolescent smokers.

METHODS

Data from a cross-sectional survey of health behaviors in high-school-aged adolescents were analyzed. Current cigarette smokers (n = 804) who reported use of at least 1 cigarette in the past month were divided into those with and without a history of at least 1 quit attempt (a self-reported episode of trying to "stop smoking"). Logistic regression models were fit to describe the association between the frequency of marijuana/alcohol use and a history of cigarette quit attempts.

RESULTS

Among the total sample, higher-frequency marijuana use (more than 6 times in the past 30 days) and frequent binge drinking (more than 5 days of binge drinking in the past 30 days) decreased the odds of having a past cigarette quit attempt (higher-frequency marijuana: adjusted odds ratio [AOR] = 0.56, 95% confidence interval [CI] = 0.36-0.86; frequent binge drinking: AOR = 0.49, 95% CI = 0.29-0.83). A significant gender interaction was observed for the relationship between higher-frequency marijuana use and a history of cigarette quit attempts (P = .03), with decreased odds in boys (AOR = 0.41, 95% CI = 0.22-0.77) but not in girls (AOR = 0.71, 95% CI = 0.37-1.33).

CONCLUSIONS

Adolescent smokers who report higher-frequency marijuana use or frequent binge drinking have a decreased likelihood of a history of a cigarette quit attempt. The gender-related association between higher-frequency marijuana use and a history of quit attempts suggests that boys with greater substance use may need particularly intensive support to initiate quit attempts.

Psychiatric, psychosocial, and physical health correlates of co-occurring cannabis use disorders and nicotine dependence

BACKGROUND

Several gaps in the literature on individuals with co-occurring cannabis and tobacco use exist, including the extent of psychiatric, psychosocial, and physical health problems. We examine these gaps in an epidemiological study, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), of a large, nationally representative sample.

METHODS

The sample was drawn from Wave 2 NESARC respondents (N=34,653). Adults with current cannabis use disorders and nicotine dependence (CUD+ND) (n=74), CUD only (n=100), and ND only (n=3424) were compared on psychiatric disorders, psychosocial correlates (e.g., binge drinking; partner violence), and physical health correlates (e.g., medical conditions).

RESULTS

Relative to those with CUD only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, Clusters A and B personality disorders, and narcissistic personality disorder, and reported engaging in a significantly higher number of antisocial behaviors. Relative to those with ND only, respondents with CUD+ND were significantly more likely to meet criteria for bipolar disorder, anxiety disorders, and paranoid, schizotypal, narcissistic, and borderline personality disorders; were significantly more likely to report driving under the influence of alcohol and being involved in partner violence; and reported engaging in a significantly higher number of antisocial behaviors. CUD+ND was not associated with physical health correlates.

CONCLUSIONS

Poor treatment outcomes for adults with co-occurring cannabis use disorders and nicotine dependence may be explained in part by differences in psychiatric and psychosocial problems.

Development of an integrative cessation program for co-smokers of cigarettes and cannabis: demand analysis, program description, and acceptability

Background

Tobacco and cannabis use are strongly interrelated, but current national and international cessation programs typically focus on one substance, and address the other substance either only marginally or not at all. This study aimed to identify the demand for, and describe the development and content of, the first integrative group cessation program for co-smokers of cigarettes and cannabis.

Methods

First, a preliminary study using expert interviews, user focus groups with (ex-)smokers, and an online survey was conducted to investigate the demand for, and potential content of, an integrative smoking cessation program (ISCP) for tobacco and cannabis co-smokers. This study revealed that both experts and co-smokers considered an ISCP to be useful but expected only modest levels of readiness for participation.

Based on the findings of the preliminary study, an interdisciplinary expert team developed a course concept and a recruitment strategy. The developed group cessation program is based on current treatment techniques (such as motivational interviewing, cognitive behavioural therapy, and self-control training) and structured into six course sessions.

The program was evaluated regarding its acceptability among participants and course instructors.

Results

Both the participants and course instructors evaluated the course positively. Participants and instructors especially appreciated the group discussions and the modules that were aimed at developing personal strategies that could be applied during simultaneous cessation of tobacco and cannabis, such as dealing with craving, withdrawal, and high-risk situations.

Conclusions

There is a clear demand for a double cessation program for co-users of cigarettes and cannabis, and the first group cessation program tailored for these users has been developed and evaluated for acceptability. In the near future, the feasibility of the program will be evaluated.

Trial registration

Current Controlled Trials ISRCTN15248397

Effects of nicotine dependence and depressive symptoms on smoking cessation: a longitudinal study among adolescents

INTRODUCTION

Nicotine dependence has been shown to hamper successful smoking cessation in adolescents. Nicotine dependence and depression are highly comorbid, but the relation between depression and smoking cessation is not yet fully understood. Therefore, the present study examines both the longitudinal reciprocal relation between nicotine dependence and depressive symptoms, and the longitudinal effect of these factors on successful smoking cessation and number of quit attempts.

METHODS

A 2-wave longitudinal study was conducted among 535 adolescents aged 13-18. Written self-report questionnaires were administered in a classroom setting. Two models were tested, examining the mutual relation between nicotine dependence and depressive symptoms, as well as the predictive value of these factors on smoking cessation (n = 535), and number of quit attempts (n = 473) 1 year later.

RESULTS

Adolescents with more depressive symptoms have significantly higher levels of nicotine dependence 1 year later. Higher levels of nicotine dependence negatively predicted subsequent successful smoking cessation, whereas depressive symptoms did not. In contrast, depressive symptoms predicted a higher number of unsuccessful quit attempts in the following year, whereas nicotine dependence did not.

CONCLUSIONS

The findings suggest that adolescents tend to smoke cigarettes in order to diminish their depressive feelings, which might provide some support for the self-medication theory. Smoking cessation programs aiming at adolescents should not only focus on symptoms of nicotine dependence but should also pay attention to depressive feelings, since these feelings are related to a higher number of unsuccessful quit attempts.

Clinical correlates of co-occurring cannabis and tobacco use: a systematic review

AIMS

  A growing literature has documented the substantial prevalence of and putative mechanisms underlying co-occurring (i.e. concurrent or simultaneous) cannabis and tobacco use. Greater understanding of the clinical correlates of co-occurring cannabis and tobacco use may suggest how intervention strategies may be refined to improve cessation outcomes and decrease the public health burden associated with cannabis and tobacco use.

METHODS

  A systematic review of the literature on clinical diagnoses, psychosocial problems and outcomes associated with co-occurring cannabis and tobacco use. Twenty-eight studies compared clinical correlates in co-occurring cannabis and tobacco users versus cannabis- or tobacco-only users. These included studies of treatment-seekers in clinical trials and non-treatment-seekers in cross-sectional or longitudinal epidemiological or non-population-based surveys.

RESULTS

  Sixteen studies examined clinical diagnoses, four studies examined psychosocial problems and 11 studies examined cessation outcomes in co-occurring cannabis and tobacco users (several studies examined multiple clinical correlates). Relative to cannabis use only, co-occurring cannabis and tobacco use was associated with a greater likelihood of cannabis use disorders, more psychosocial problems and poorer cannabis cessation outcomes. Relative to tobacco use only, co-occurring use did not appear to be associated consistently with a greater likelihood of tobacco use disorders, more psychosocial problems or poorer tobacco cessation outcomes.

CONCLUSIONS

  Cannabis users who also smoke tobacco are more dependent on cannabis, have more psychosocial problems and have poorer cessation outcomes than those who use cannabis but not tobacco. The converse does not appear to be the case.

Health-promoting and health-risk behaviors: theory-driven analyses of multiple health behavior change in three international samples

Background

Co-occurrence of different behaviors was investigated using the theoretical underpinnings of the Transtheoretical Model, the Theory of Triadic Influence and the concept of Transfer.

Purpose

To investigate relationships between different health behaviors' stages of change, how behaviors group, and whether study participants cluster in terms of their behaviors.

Method

Relationships across stages for different behaviors were assessed in three studies with N = 3,519, 965, and 310 individuals from the USA and Germany by telephone and internet surveys using correlational analyses, factor analyses, and cluster analyses.

Results

Consistently stronger correlations were found between nutrition and physical activity (r = 0.16–0.26, p < 0.01) than between non-smoking and nutrition (r = 0.08–0.16, p < 0.03), or non-smoking and physical activity (r = 0.01–0.21). Principal component analyses of investigated behaviors indicated two factors: a “health-promoting” factor and a “health-risk” factor. Three distinct behavioral patterns were found in the cluster analyses.

Conclusion

Our results support the assumption that individuals who are in a higher stage for one behavior are more likely to be in a higher stage for another behavior as well. If the aim is to improve a healthy lifestyle, success in one behavior can be used to facilitate changes in other behaviors—especially if the two behaviors are both health-promoting or health-risky. Moreover, interventions should be targeted towards the different behavioral patterns rather than to single behaviors. This might be achieved by addressing transfer between behaviors.

Alcohol and marijuana use in the context of tobacco dependence treatment: impact on outcome and mediation of effect

INTRODUCTION

Alcohol and marijuana are among the most commonly used substances together with tobacco worldwide, but their relationship to smoking cessation is unclear. Although alcohol use decreases the likelihood of abstinence from tobacco, mechanisms of this effect have not been identified. Moreover, a small literature has yielded inconsistent findings regarding the effect of marijuana use on tobacco dependence treatment outcome. The aims of this study were to test increased positive-reinforcement smoking urge as a mediator of the relationship between alcohol and cigarette use and evaluate the impact of marijuana use on abstinence from tobacco.

METHODS

Participants were adult cigarette smokers (N = 739) from 3 randomized clinical trials of smoking cessation treatment. Alcohol consumption and marijuana use were assessed at pretreatment and postcessation. Biochemically verified, 7-day point prevalence smoking abstinence was determined at Weeks 12, 24, 36, and 52, as were urges to smoke as measured by the Questionnaire of Smoking Urges.

RESULTS

Increased positive-reinforcement urge mediated the effect of postcessation alcohol use on smoking abstinence. Although pretreatment alcohol use was associated with a decreased likelihood of abstinence from tobacco, increased positive-reinforcement urge did not account for this relationship. Marijuana use was not associated with abstinence from tobacco.

CONCLUSIONS

Smoking cessation treatments should provide those who drink during a quit attempt techniques designed to mitigate positive-reinforcement urge to smoke. Additional research is needed to determine how pretreatment alcohol consumption exerts its effect on cigarette use. Modifying the use of marijuana might not be critical to the success of tobacco interventions.

The relative role of nicotine dependence and smoking-related cognitions in adolescents' process of smoking cessation

The present study evaluates the role of distinct components of nicotine dependence (craving, withdrawal, behavioural dependence) in comparison to smoking-related cognitions (attitudes, perceived social approval, self-efficacy) in adolescent smoking cessation. In the process towards smoking cessation, we distinguish between distinct behavioural transitions, respectively, short-term abstinence, reduction in smoking behaviour and prolonged cessation, to evaluate differences in cessation-related antecedents as a function of varying behavioural outcomes. A total of 850 adolescent smokers (age 14-16) participated in the present study. Smoking behaviour was assessed 1 year after baseline. Results showed that all dependence components had a distinct role in the prediction of behavioural change towards cessation. Furthermore, each behavioural transition was predicted by a distinct set of variables, indicating that contributions of cessation-related factors vary across the course towards cessation. Overall, our findings suggest that smoking-related cognitions are particularly relevant in the initiation of behavioural change, such as short-term abstinence, whereas nicotine dependence, craving in particular, becomes increasingly important in the prediction of maintained behavioural change, such as prolonged cessation. Implications encompass enhanced attention to the multidimensional nature of nicotine dependence and the value of comparing different behavioural outcomes in a comprehensive understanding of cessation-related factors.