Addictive Behaviors Reports最新文献

Background

Few individuals with alcohol use disorders receive treatment. Primary care has been suggested as an arena for early treatment for these disorders.

Aim

To evaluate whether the presence of a specialized addiction nurse can increase alcohol-related physician consultations in a primary care setting.

Method

This controlled intervention study included one intervention and one control primary care unit in Malmö, Sweden. At the intervention unit, an addiction nurse experienced in alcohol use disorder treatment was present 20 hours weekly for 12 months. At both units, an educational lecture on alcohol use disorders was given at study start. The outcome was physicians’ monthly number of alcohol-related diagnostic codes. Data were compared between intervention and control units using Poisson Regression. Eight statistical models were analyzed and Akaike information criterion was used to select the final model.

Results

The intervention was significantly associated with an increased number of registered alcohol-related diagnostic codes (risk ratio 1.33, 95 confidence interval 1.08-1.62). However, in sensitivity analyses, such a slope effect was more uncertain and no step effect was seen. A significant association was seen between the educational lecture and an increase in the number of registered alcohol-related codes at the sites (risk ratio 2.47, 1.37-4.46).

Conclusion

The presence of specialized addiction staff in a primary healthcare setting might increase the number of alcohol-related physician consultations in primary care, although more research is needed. An educational lecture about alcohol use disorders could be a simple but effective intervention to increase alcohol-related physician consultations in primary care.

Introduction

More brands are using tobacco-free nicotine (TFN) in electronic cigarettes (e-cigarettes) and these products are becoming increasingly popular. The term TFN and claims about its properties can mislead consumers about the harms and addictiveness of TFN e-cigarettes, which may increase initiation of these products among non-smokers or influence current smokers’ decisions to adopt TFN e-cigarettes as a harm reduction measure.

Methods

We conducted an observational, cross-sectional survey of 777 adolesc aged 13–17 and 655 current adult cigarette smokers residing in Massachusetts, Connecticut, New Hampshire, Rhode Island, or Vermont about their TFN e-cigarette awareness, use, perceptions, and susceptibility. We examined the association between prior awareness of TFN and use, perceptions, and susceptibility.

Results

One-third of adolescents and adults reported being aware of TFN. TFN e-cigarette use was less common than tobacco-derived nicotine (TDN) e-cigarette use among adolescents (8.9 % vs. 30.5 %) and adults (21.1 % vs. 79.4 %). Compared to unaware adolescents, adolescents who were aware of TFN more frequently reported being more likely to use TFN compared to TDN e-cigarettes and that TFN e-cigarettes are more addictive than those containing TDN. Aware adult smokers more frequently reported that TFN e-cigarettes are more addictive than TDN e-cigarettes, TFN e-cigarettes cause some harm, TDN e-cigarettes cause little harm, and that TFN and TDN e-cigarettes are equally harmful than those who were unaware previously.

Conclusion

Public health education campaigns are needed to educate consumers about the harms and addictiveness of TFN e-cigarettes.

Introduction

The study assessed longitudinal transitions among adult (18 and older) past 30-day daily and non-daily dual users of cigarettes and electronic nicotine delivery systems (ENDS).

Methods

Using data from Wave 4 (W4; 2016/17) and Wave 5 (W5; 2018/19) of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal cohort study of US adults, multivariable regressions were conducted among W4 dual users of cigarettes and ENDS to examine past 30-day cigarette smoking at W5. The study also analyzed changes in frequency of past 30-day smoking and cigarettes smoked per day between W4 and W5, stratified by W4/W5 daily/non-daily ENDS use among W4 daily and non-daily cigarette smokers.

Results

Among W4 dual users, those smoking daily and using ENDS non-daily had higher odds of daily cigarette smoking at W5 than daily users of both products (AOR: 2.32, 95 % CI: 1.38–3.90). W4 daily smokers who used ENDS daily at Wave 5 smoked cigarettes on fewer days at Wave 5 than W4 daily smokers who were either daily ENDS users at Wave 4 (B = −4.59; SE = 1.43, p < 0.01) or non-daily ENDS users at Wave 4 (B = −4.55; SE = 1.24, p < 0.001). Among W4 non-daily cigarette smokers, W4 non-daily ENDS users who used daily at W5 smoked cigarettes on fewer days (B = −4.04, SE = 1.82) at W5 than those who were non-daily ENDS users at W4 and W5.

Conclusions

Findings highlight the importance of frequency of ENDS use in reducing cigarette smoking and could inform smoking cessation interventions among daily cigarette smokers.

Background

Globally, outpatient programs for substance use disorder (SUD) treatment have gained prominence. To assess the broader clinical implications of this trend we investigated shifts in functioning experienced by outpatients undergoing treatment.

Methods

We describe the clinical characteristics of a cohort of 93 SUD patients in a Norwegian outpatient treatment clinic. Using paired-samples t-tests, we examined changes in perceived functioning, mental distress, and other clinically relevant outcome variables in a 5-month time interval during the treatment course.

Results

We obtained follow-up data for 67 (72%) of the included patients, with no significant difference in patient-related factors between those who completed the treatment course and those who were not assessed at follow-up. Perceived functioning increased significantly from study inclusion (Time 0) (mean 19.8, standard deviation ± 8.8) to its conclusion (Time 1) (24.3, ±9.3; t (66) = 4.5, (95% CI: 2.5–6.5, p < 0.001). We also identified significant improvement in most other measured variables, including mental distress, self-reported sleep quality, restlessness, and obsessive thinking. Substance use–related variables showed a modest, non-significant improvement at T1.

Conclusion

During a 5-month course of outpatient treatment, patients’ subjective experience of functioning improved significantly. Those with the lowest functioning levels at T0 improved the most. Structured monitoring may be a valuable clinical tool for personalizing intervention, enhancing treatment outcomes, and supporting the clinical decision-making process.

The prevalence of combustible cigarette smoking in populations experiencing homelessness in the United States is five times that of the general population. The psychosocial well-being of persons who smoke and experience homelessness is poorer if such persons also use alcohol heavily. The PTQ2 study was a randomized clinical trial among persons experiencing homelessness who were also current smokers and heavy alcohol consumers. Secondary data analysis of the PTQ2 baseline data was conducted to examine associations among psychosocial variables (anxiety, depression, hopelessness, social network size), heaviness of smoking (cigarettes/day) and alcohol consumption (drinking days/month), and duration and frequency of homelessness. Among the 420 participants, the majority were male (75%), black (70%) and non-Hispanic (94%) with a mean age of 46.6 years (SD = 11.6).  Bivariate analyses show that heaviness of smoking was positively correlated with social network size (r = 0.16, p = .001). Heaviness of drinking was positively correlated with the MINI anxiety score (r = 0.13, p = .009) and marijuana use (median total number of drinks in past 30 days among those who used marijuana in past 30 days vs. did not use: 50 vs. 24, p < .0001), and associated with frequency of homelessness (median total number of drinks in past 30 days among those experiencing homelessness once vs. >1 time: 30 vs. 44, p = .022). The findings highlight the psychosocial factors that warrant consideration when addressing heavy smoking and alcohol consumption in persons experiencing homelessness.

Introduction

Although playing videogames is a common leisure activity some individuals develop problematic gaming behaviors or even symptoms of a gaming disorder. Game engagement may be involved in reinforcement learning that may result in experiences of craving, an important feature of gaming disorder. In the following study we aimed to approach the question which aspects contribute to increased craving for gaming.

Methods

Overall, 439 individuals participated in an online survey, answering questionnaires on game engagement, experience of gratification and compensation, craving, and symptoms of gaming disorder. A mediation model testing if the association between game engagement and facets of craving are mediated by the experience of gratification and compensation during gaming.

Results

Three facets of craving (reward/relief, physiological, obsessive craving) were statistically explained by game engagement and the experience of gratification and compensation. Models differed between casual gamers and at-risk gamers. The effects on reward/relief and physiological craving were fully mediated in the casual group and partially mediated in the at-risk group by gratification and compensation experiences.

Conclusion

Game engagement may contribute to the development of craving by increasing the experience of gratification and compensation and thus might be important in reinforcement learning. Games evoking a high engagement may therefore have a higher addictive potential. Further processes potentially related to game engagement, such as intrusive thoughts and desire thinking, which are related to craving experiences, should be considered in future studies.

Objectives

The landscape of availability, policies, and norms around e-cigarette use and cessation has changed rapidly in the last few years. There is also high interest in quitting vaping among teens and young adults. Understanding the motivation of those who want to quit vaping is important for effective intervention development. This analysis compares user-submitted reasons for quitting (RFQ) vaping from 2022 to a previous analysis from 2019 to determine whether motivations have shifted among young people.

Methods

We reviewed 2000 RFQ submissions from users who enrolled in a vaping cessation text message program in 2022. Each response was coded by ≥ 2 researchers and categorized into one of 16 themes. Findings were compared to the 2019 analysis using item-wise comparisons.

Results

The most frequent RFQ in 2022 were health (56.1%), social influence (15.8%), and other (11.7%). In comparison to 2019, health remained the top reason, but the rank order of all other reasons shifted. Theme prevalence changed significantly, with cost decreasing and health increasing. Among health-related sub-categories, current and mental health increased compared to 2019 submissions.

Discussion

RFQ among young people shifted between 2019 and 2022. We observed greater concern about current and mental health, possibly from experiencing negative health impacts from vaping or from increased awareness of these impacts. The lower prevalence of cost may reflect the widespread availability of cheaper e-cigarettes. RFQ likely change rapidly with the fluctuating e-cigarette landscape and should be considered in cessation interventions, promotional campaigns, and policy.

Introduction

The popularity of cannabis vaping has increased rapidly, especially among adolescents and young adults. We posit some possible explanations and, to evaluate them, examine whether cannabis vapers differ from non-vaping cannabis users in other substance use.

Methods

Using nationally representative data from the Population Assessment of Tobacco and Health (PATH) Study wave 5 (Dec. 2018-Nov. 2019), we assessed the association between cannabis vaping and other substance use. A total of 1,689 adolescents and 10,620 adults who reported cannabis use in the past 12 months were included in the study. We employed multivariable logistic regressions to assess the association between cannabis vaping and other substance use.

Results

Among past 12-month cannabis users, compared with those who do not vape cannabis, participants who vape cannabis had higher risks of using alcohol (adjusted relative risk [aRR] = 1.04, 95 % CI, 1.01–1.07), cigarettes (aRR = 1.09, 95 % CI, 1.02–1.15), cigars (aRR = 1.17, 95 % CI, 1.06–1.30), other tobacco products (aRR = 1.29, 95 % CI, 1.14–1.45), electronic nicotine products (aRR = 4.64, 95 % CI, 4.32–4.99), other illicit drugs (aRR = 1.53, 95 % CI, 1.29–1.80), and misuse of prescription drugs (aRR = 1.43, 95 % CI, 1.19–1.72). Compared to older cannabis vapers, younger cannabis vapers were at risk of using more other substances. Cannabis vaping was associated with all seven measures of substance use among young adults.

Conclusions

Compared to non-vaping cannabis users, cannabis vapers have higher likelihood of using other substances. Research is needed to understand why, as well as the implications of the association.

Research examining episodic future thinking (EFT; i.e., imagining oneself in future contexts) in community samples has demonstrated reduced discounting of delayed rewards when personalized event cues are included to prompt EFT related to reward latencies. While this EFT effect was recently demonstrated in individuals with substance use disorders, it is not yet known if it manifests similarly in individuals with and without a significant incarceration history—the latter being at elevated risk for negative outcomes including criminal recidivism. Individuals with cocaine use disorder (n = 35) identified personally-relevant future events and participated in a computerized delay discounting task, involving decisions between smaller immediate rewards or larger delayed rewards with and without EFT cues. Individuals with (n = 19) and without (n = 16) a significant history of incarceration were identified using the Addiction Severity Index-Lite. A significant reduction in discounting rates was observed when event cues were included to promote EFT (p = 0.02); however, there was no main effect of incarceration history on discounting behavior, or interaction between episodic future thinking condition and incarceration history. Results suggest personalized cues included to evoke EFT reduce discounting behavior in individuals with cocaine use disorder, regardless of incarceration history. EFT–based interventions may therefore have promise to reduce impulsive decision-making in individuals with cocaine use disorder with and without a significant history of incarceration, potentially supporting improved outcomes with respect to both substance use and future criminality.

Introduction

Most adult cigarette smokers have tried unsuccessfully to quit. We followed participants in the Population Assessment of Tobacco and Health (PATH) study through five waves (2013–2019), comparing smoking, quit behaviors and other characteristics between persistent smokers and those who became and stayed former smokers.

Methods

The main analysis employed treatment effects to estimate mean differences in smoking and quitting behaviors among smoker groups. Logistic models were used to estimate predicted means based on continuing smokers’ demographic characteristics to ensure that any differences in outcomes did not come from differences in demographic characteristics.

Results

Among smokers enrolled in PATH Wave 1, 68 % persisted in all subsequent waves. Compared with smokers who quit after Wave 1, persistent smokers had remarkably stable smoking behaviors, including significantly higher proportions of everyday smokers, consuming 10+ cigarettes per day, and smoking within 30 min of waking up. Persistent smokers were also less likely to try to quit completely, and experienced more negative symptoms from nicotine withdrawal. They also showed less interest in quitting and were less confident of being successful than smokers who quit by the next wave. Neither electronic nicotine delivery systems nor menthol played a role in continued smoking or quitting.

Conclusions

The characteristics and behaviors of persistent smokers in this study were stable over five waves of data collection during a six-year period, suggesting that these smokers need new cessation options.