Prohibition of e-cigarettes in the US: Are prohibitions where alcohol is consumed related to lower alcohol consumption?

Urgent action needed: addressing the regulatory gap in e-cigarette trade and usage

Tobacco use is associated with serious health problems. Global efforts, such as the World Health Organization's Framework for Tobacco Control, have reduced tobacco use, but challenges remain. Initially perceived as aids for smoking cessation, e-cigarettes have gained popularity among young people and non-smokers. Government approaches to regulating e-cigarettes range from treating them like tobacco, requiring a prescription for their use to outright bans. Although touted as a valuable alternative, evidence suggests that increased e-cigarette use carries potential direct and indirect health risks, necessitating urgent regulatory measures on a global scale. Lack of defined and uniform regulations poses substantial public health risks, compounded by marketing targeting vulnerable groups. Immediate interventions, public awareness, and research are essential to effectively control the current e-cigarette epidemic.

[Uso de cigarros electrónicos en los espacios libres de humo y vapeo: una revisión sistemática.]

OBJECTIVE

The effect of smoke-free spaces on the use of electronic cigarettes has not been empirically demonstrated. The objective of this systematic review was to evaluate the influence of smoke-free and vape policies on the use of electronic cigarettes in young adults and adults.

METHODS

A systematic review was carried out according to PRISMA criteria in the Web of Science, PubMed and SCOPUS databases. Keywords used were: Electronic Nicotine Delivery Systems, Smoke-Free Policy, Young Adult and Adult. We included studies that analyzed the use of electronic cigarettes in smoke-free spaces in adults aged fifteen years and older. The search was conducted from January 2010 to March 2022. Risk of bias was analyzed with the Mixed Methods Assessment Tool.

RESULTS

The search identified 861 records. A total of 840 records were excluded because they did not meet the inclusion criteria. The final sample included ten studies on smoke-free spaces, six studies on vape-free spaces and five studies on smoke-free spaces and vape-free spaces. The main risk of bias in the studies was the sampling and measurements used. Most studies associate the use of electronic cigarettes and smoke-free spaces.

CONCLUSIONS

Studies suggest that the use of electronic cigarettes and smoke-free spaces and vape are associated. Studies with higher quality of evidence and simultaneous implementation of smoke-free and vape-free spaces are required.

Electronic nicotine delivery system use is related to higher odds of alcohol and marijuana use in adolescents: Meta-analytic evidence

Research suggests that electronic nicotine delivery system (ENDS) use is associated with other substance use in adolescents; however, the magnitude of this association and whether this differs between adolescents and adults is not yet well understood. This meta-analysis aimed to quantify the extent to which ENDS use is associated with alcohol and marijuana use among adolescents and to compare the odds across adolescent samples and a comparison group of adult samples. A comprehensive literature review was conducted examining the relationship between ENDS use and alcohol (adolescent k = 40 from 19 independent studies; adult k = 35 from 12 independent studies) and marijuana (adolescent k = 24 from 14 independent studies; adult k = 6 from 3 independent studies) use. Adolescents who use ENDS had greater odds of reporting co-occurring alcohol use (OR = 4.50, p < .001), particularly binge drinking (OR = 4.51), and marijuana use (OR = 6.04, p < .001) than adolescent who did not use ENDS. Adults who use ENDS were also more likely to use alcohol (OR = 1.57, p < .001) and marijuana (OR = 2.04, p < .001) than those who did not use ENDS. ENDS use was associated with significantly greater odds of alcohol use (log odds ratio; LOR = 0.96 (OR = 2.61), p < .001) and a trend of greater marijuana use (LOR = 0.93 (OR = 2.53), p = 0.08) in adolescents than in adults. Effects were large in adolescents and small in adults. Findings suggest that ENDS use should be assessed in adolescents in both research and clinical settings. Importantly, ENDS use is strongly associated with co-occurring alcohol or marijuana use in adolescents.

Is the use of e-cigarettes for smoking cessation associated with alcohol consumption? A population-level survey of successful quitters in England

OBJECTIVE

To examine associations between the use of e-cigarettes for smoking cessation and levels of alcohol consumption, high-risk drinking, and attempts to cut down alcohol consumption compared with use of nicotine replacement therapy (NRT) or no aid.

METHODS

Cross-sectional survey of adults (≥16 years) in England. The sample included a total of 961 people who had quit smoking with the use of either e-cigarettes (n = 425), NRT (n = 116), or no aid (n = 421) within the past year and were still abstinent at the survey. Drinking behaviour was assessed with the AUDIT.

RESULTS

Mean (SD) alcohol consumption among those who quit smoking with e-cigarettes, NRT, and no aid was 7.78 (13.41), 7.12 (13.85), and 5.55 (8.70) units/week, respectively. The prevalence of high-risk drinking was 43.3% (n = 184), 32.2% (n = 37), and 36.8% (n = 155), respectively. Among high-risk drinkers, the prevalence of attempts to cut down alcohol consumption was 22.3% (n = 41), 18.9% (n = 7), and 27.7% (n = 43), respectively. After adjustment for covariates, those who quit with e-cigarettes had significantly higher alcohol consumption than those who quit unaided (B = 1.69, 95%CI 0.21-3.17), but there was no significant difference relative to those who quit with NRT. Differences in high-risk drinking and attempts to cut down were not significant, but Bayes factors indicated the data were insensitive (range: 0.47-0.95).

CONCLUSIONS

Recent ex-smokers who used e-cigarettes to help them quit consumed around two more units of alcohol each week than those who quit unaided, but their alcohol consumption was similar to those who quit with NRT. Data on differences in high-risk drinking and attempts to cut down alcohol consumption among high-risk drinkers were inconclusive.

Uneven Access to Smoke-Free Laws and Policies and Its Effect on Health Equity in the United States: 2000-2019

Tobacco control measures have played an important role in the reduction of the cigarette smoking prevalence among US adults.However, although overall smoking prevalence has declined, it remains high among many subpopulations that are disproportionately burdened by tobacco use, resulting in tobacco-related health disparities. Slow diffusion of smoke-free laws to rural regions, particularly in the South and Southeast, and uneven adoption of voluntary policies in single-family homes and multiunit housing are key policy variables associated with the disproportionate burden of tobacco-related health disparities in these subpopulations.Developing policies that expand the reach of comprehensive smoke-free laws not only will facilitate the decline in smoking prevalence among subpopulations disproportionately burdened by tobacco use but will also decrease exposure to secondhand smoke and further reduce tobacco-caused health disparities in the United States.

Patterns of concurrent cigarette, alcohol, and e-cigarette use: Off-setting or additive behaviors?

OBJECTIVES

To understand nationwide concurrent use of e-cigarettes (Ecig) with alcohol and conventional cigarettes (Ccig), the major risk factors for head and neck cancer.

STUDY DESIGN

Cross-sectional analysis of nationally representative survey.

METHODS

The National Health Interview Surveys for 2014 and 2015 were analyzed for adult responses to specific questions regarding the daily frequency of alcohol, Ccig, and Ecig use. Statistical relationships between these social habits were determined.

RESULTS

A total of 241.1 million adults (raw N = 162,048) were surveyed (mean age 47.1 years, 51.8% female). Of those, 12.1% (29.2 million) and 3.8% (9.08 million) reported being every day Ccig users and some days Ccig users, respectively. A total of 2.3% (5.63 million) and 1.1% (2.76 million) reported being every day Ecig users and some days Ecig users, respectively. In addition, 58.4% of everyday Ecig users reported also being everyday Ccig users (P < 0.001). Furthermore, 25.6% (61.3 million) and 8.3% (20.0 million) of adults reported light drinking (1-3 drinks/week) and moderate/heavy drinking (4-7 drinks/week), respectively. Of the moderate/heavy drinkers, 17.7% were everyday Ccig users, whereas 12.2% of everyday Ccig users were moderate/heavy drinkers (P < 0.001). Among everyday Ecig users, 34.6% and 11.2% were light drinkers and moderate/heavy drinkers, respectively (P < 0.001). Among non-Ccig users, everyday Ecig users were likely to consume higher levels of alcohol given that 36.5% and 8.9% were light drinkers and moderate/heavy drinkers, respectively (P < 0.01).

CONCLUSION

We demonstrate a substantial level of Ccig use among moderate/heavy drinkers and Ecig users, as well as a novel independent association between Ecig and moderate/heavy alcohol use. These patterns of concurrent risk factor exposure should be considered when counseling patients who report Ecig use.

LEVEL OF EVIDENCE

2b. Laryngoscope, 1817-1821, 2018.

"Essentially, All Models are Wrong, but Some Are Useful": A Preliminary Conceptual Model Of Co-Occurring E-Cig and Alcohol Use

PURPOSE OF REVIEW

As prevalence rates of electronic cigarette (e-cig) use increase, researchers and clinicians should not only be paying careful attention to the direct health effects of e-cigs, but also the potential impact e-cigs may have on alcohol use behaviors. We review the current state of the literature and propose a conceptual model for the relationship between e-cig and alcohol use, including important consequences, mechanisms, and moderators of this relationship.

RECENT FINDINGS

The model is based in emerging literature examining the direct relationship between e-cig and alcohol use, as well as indirect evidence concerning potential mechanisms from research on cigarette and alcohol use. Overall, research indicates a robust relationship between e-cig and alcohol use.

SUMMARY

We suggest that a relationship between e-cig use and alcohol use could be particularly problematic, especially for adolescents and for those with or at risk for alcohol use disorders. We hope the presented conceptual model can stimulate research in this area. We make research recommendations, including the need for more methodological rigor, including improved measurement of e-cig use, and expanding research to longitudinal and experimental designs.