Transitioning From Cigarettes to Electronic Cigarettes Increases Alcohol Consumption

Combustible cigarette smokers versus e-cigarette dual users among Latinx individuals: Differences in alcohol and drug use severity

The Latinx population in the United States (U.S.) experiences significant tobacco and other substance use-related health disparities. Yet, little is known about the couse of combustible cigarettes and e-cigarettes (dual use) in relation to substance use behavior among Latinx smokers. The present investigation compared English-speaking Latinx adults living in the United States who exclusively smoke combustible cigarettes versus dual users in terms of alcohol use and other drug use problem severity. Participants were 297 Hispanic/Latinx daily cigarette smokers (36.4% female, Mage = 35.9 years, SD = 8.87) recruited nationally across the United States using Qualtrics Panels to complete self-report measures of behavioral health outcomes. Five analysis of covariance models were conducted to evaluate differences in overall alcohol consumption, dependence, related problems, hazardous drinking, and drug use problem severity between exclusive combustible cigarette smokers (N = 205) and dual users (N = 92). Results indicated that dual users evinced greater levels of alcohol consumption, dependence, alcohol-related problems, and hazardous drinking compared to exclusive combustible cigarette smokers (ps < .001). Dual users also reported greater levels of drug use problems relative to exclusive combustible cigarette smokers (p < .001). The current findings are among the first to document that dual cigarette and e-cigarette use status (compared to exclusive combustible cigarette smoking) may serve as a clinically relevant risk indicator for a range of deleterious substance use problems among Latinx individuals. Future research is needed to corroborate these findings and examine dual-use status as a longitudinal predictor of alcohol and other substance-related problems. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Vaporized nicotine use among patients in HIV care who smoke tobacco: perceived health effects and effectiveness as a smoking cessation tool

Evidence suggests adverse health effects from vaporized nicotine (VN) use, such as electronic "e" cigarettes, and limited efficacy to aid tobacco cessation. People with HIV (PWH) smoke tobacco at higher rates than the general population, with greater morbidity, highlighting the necessity of effective tobacco cessation tools. PWH may be more vulnerable to adverse effects of VN. Using semi-structured 1:1 interviews, we examined health beliefs regarding VN, patterns of use, and perceived effectiveness for tobacco cessation among PWH in HIV care at three geographically diverse U.S. sites. PWH (n = 24) had limited understanding of VN product content or health effects, presuming VN less harmful than tobacco cigarettes (TC). VN failed to adequately replicate the psychoactive effects or desired ritual of smoking TC. Concurrent TC use, and continuous VN use throughout the day, was common. Satiety using VN was elusive, and consumption quantity was difficult to track. VN had limited desirability and durability as a TC cessation tool among the interviewed PWH.

The association between internalizing and externalizing severity with current use of cigarettes, e-cigarettes, and alcohol in adults: Wave 1 of the Population Assessment of Tobacco and Health (PATH) study

INTRODUCTION

Concurrent tobacco/alcohol use is common in adults, and associated with the severity of symptoms experienced by those with mental health disorders. However, few studies have explored this relationship across different combinations of tobacco products [i.e., conventional cigarette (CC) and electronic cigarette (EC)] and alcohol.

METHODS

Data from the Wave 1 (2013-2014) Population Assessment of Tobacco and Health study were used. A total of 15,947 adults aged 18 years or older with complete study information were included. Multinomial logistic regression analyses were performed to determine the relationship between lifetime internalizing/externalizing severity and past 30-day use of tobacco and alcohol, adjusting for nicotine dependence (ND), sex, age, race, education, and income.

RESULTS

Internalizing severity was more strongly associated with CC and alcohol use (moderate AOR = 1.47, 95% CI = 1.22-1.77; high AOR = 1.29, 95% CI = 1.03-1.61) as well as alcohol-exclusive use (moderate AOR = 1.58, 95% CI = 1.27-1.96; high AOR = 1.31, 95% CI = 1.05-1.64) while externalizing severity was more strongly associated with EC and alcohol use (high AOR = 2.97, 95% CI = 1.84-4.81, moderate AOR = 2.29, 95% CI = 1.53-3.43) when accounting for ND compared to none. The relationship between externalizing severity with EC use was dependent on alcohol being used with EC.

CONCLUSIONS

The associations between psychopathology (internalizing vs. externalizing severity) varies by different combinations of alcohol, CC, and EC. Further, these relationships may be mediated through ND. Future investigations into the comorbidity between mental disorder symptoms with tobacco and alcohol use should consider use of specific substances as well as their combination.

Are electronic cigarettes and vaping effective tools for smoking cessation? Limited evidence on surgical outcomes: a narrative review

The rising popularity of e-cigarettes and vaping, particularly in youth populations, has prompted the scientific community to ocassionally recommend their use as alternative to smoking or as a modality for smoking cessation. Media also tends to portray them as stylish, smoking cessation tools. We first studied the current literature to better understand whether they are viable options for surgeons to use prior to surgery as part of their armamentarium and their efficacy in attaining smoking abstinence. Next, we performed a comprehensive review of the literature to study the impact of e-cigarette and vaping on lung pathophysiology, surgical outcomes, and postoperative complications. After a thorough search, we found limited evidence suggesting that e-cigarettes and vaping are effective smoking cessation tools, and indeed may increase the propensity of dual smoking, contrary to e-cigarette advertisements. Many potential biases and limitations exist due to self-reporting when investigating e-cigarettes and vaping. While there is controversial data in the literature about e-cigarettes and vaping not leading to lung cancer, there are chemicals in these products that compromise lung hemostasis, negatively affect the immune system, and have detrimental inflammatory effects on wound healing. Studies are warranted to elucidate objective data regarding short and long-term effects of these products on surgical outcomes, and given the current data, they should not be utilized as viable smoking cessation tools.

Prospective association of e-cigarette and cigarette use with alcohol use in two waves of the Population Assessment of Tobacco and Health

BACKGROUND AND AIMS

Prior cross-sectional research finds that electronic cigarette (e-cigarette) use clusters with higher rates of harmful alcohol consumption in the United States adult population. The current study examined prospectively the association between e-cigarette use, cigarette use and the combined use of e-cigarettes and tobacco cigarettes and alcohol use outcomes.

DESIGN

A nationally representative multi-wave cohort survey (wave 1: September 2013-December 2014, wave 2: October 2014-October 2015).

SETTING

United States.

PARTICIPANTS

A representative sample of civilian, non-institutionalized adults who completed waves 1 and 2 of the Population Assessment of Tobacco and Health survey (n = 26 427).

MEASUREMENTS

Participants were categorized into exposure groups according to their e-cigarette and cigarette use during wave 1. Past 30-day alcohol use outcomes were (1) National Institute on Alcohol Abuse and Alcoholism (NIAAA)-defined hazardous alcohol use, (2) total alcohol drinks consumed and (3) alcohol-related consequences.

FINDINGS

After controlling for socio-demographic risk factors and alcohol use at wave 1, all exposure groups showed higher odds of hazardous alcohol use [adjusted odds ratios (aORs) = 2.05-2.12, all P < 0.001] and reported higher past-month total drinks (B = 0.46-0.70, all P < 0.001) and more alcohol consequences (B = 0.63-0.89, all P ≤ 0.10) at wave 2 compared with non-users. Cigarette users (B = 0.24, P = 0.038) and dual e-cigarette/cigarette users (B = 0.32, P = 0.038) reported higher past-month total drinks compared with e-cigarette users. There was no conclusive evidence that non-daily use of e-cigarettes or cigarettes predicted poorer alcohol use outcomes compared with daily use.

CONCLUSIONS

In the United States between 2013 and 2015, after adjustment for socio-demographic characteristics, cigarette and e-cigarette use were associated with alcohol use 1 year later.

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.

Ever Use of E-Cigarettes Among Adults in the United States: A Cross-Sectional Study of Sociodemographic Factors

E-cigarette use among adolescents is well-documented, but less is known about adult users of e-cigarettes. The purpose of this study was to examine associations between sociodemographic factors and e-cigarette use in a nationally representative sample of adults in the United States. Cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) for years 2015-2016 were analyzed to assess e-cigarette use among 5989 adults aged ≥18 years. Multivariable logistic regression was conducted to examine associations between the sociodemographic exposures of age, sex, race, marital status, education level, employment status, and poverty-income ratio and the outcome of e-cigarette use. The weighted prevalence of ever use of e-cigarettes was 20%. Compared with adults aged ≥55 years, odds of e-cigarette use were 4.77 times (95% confidence interval [CI] = 3.63-6.27) higher among ages 18 to 34 years and 2.16 times (95% CI = 1.49-3.14) higher among ages 35 to 54 years. Higher odds of e-cigarette use were observed among widowed/divorced/separated participants compared with those who were married/living with a partner, among participants with less than high school (odds ratio [OR] = 1.47; 95% CI = 1.08-2.00) or high school/general educational development (GED) education (OR=1.41; 95% CI = 1.12-1.77) compared with those with college degrees/some college, and among those with incomes below the poverty level (OR=1.31; 95% CI = 1.01-1.69) compared with above the poverty level. For non-smokers of conventional cigarettes, higher odds of e-cigarette use were observed among males compared with females, Mexican Americans/Other Hispanics compared with non-Hispanic whites, and non-working participants compared with those who were working. Overall findings indicate that individuals who are widowed/divorced/separated, individuals with lower education, and with incomes below the poverty level are likely to report ever use of e-cigarettes. As increasing evidence demonstrates negative health consequences, e-cigarette initiation may ultimately contribute to additional smoking-related health inequalities even among non-smokers of conventional cigarettes.

Electronic Cigarette Use and Risk of Harmful Alcohol Consumption in the U.S. Population

BACKGROUND

Electronic cigarette (e-cigarette) use is an increasingly common method of nicotine delivery in the general population. It is well-established that tobacco users are at increased risk to engage in hazardous drinking and meet criteria for alcohol use disorder (AUD) relative to nonusers. Less is known, however, about the risk of harmful alcohol use among people who use e-cigarettes. The current study reports on the association between e-cigarette and alcohol use in the U.S. population using a nationally representative sample.

METHODS

Data from 36,309 adults who participated in the National Epidemiologic Survey on Alcohol and Related Conditions-Wave III were included in the study. The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS) measured past-year e-cigarette and alcohol use outcomes. Based on past-year e-cigarette use, respondents were categorized as nonusers, nondaily users, or daily users. Alcohol use outcomes were drinking quantity/frequency, binge drinking frequency, AUD diagnostic status, and National Institute on Alcohol Abuse and Alcoholism-defined hazardous drinking status.

RESULTS

Controlling for demographic characteristics, daily and nondaily e-cigarette users showed increased risk of harmful alcohol use compared to e-cigarette nonusers, including hazardous drinking (adjusted odds ratios [AORs] = 1.69; 2.48), AUD (AORs = 1.89; 2.44), and binge drinking frequency (AORs = 1.30 to 3.30). Nondaily e-cigarette use was associated with higher levels of risk than was daily use. Secondary analyses examined alcohol use outcomes according to participants' patterns of dual tobacco cigarette/e-cigarette use. These analyses confirmed that e-cigarette use alongside tobacco cigarette use is associated with additive risk of harmful alcohol consumption, particularly among nondaily users.

CONCLUSIONS

E-cigarette users, particularly those who engage in nondaily and dual use, show elevated rates of harmful alcohol use. Heavy drinking may constitute a source of health risk among e-cigarette users.

Random responses inflate statistical estimates in heavily skewed addictions data

BACKGROUND

Some respondents may respond at random to self-report surveys, rather than responding conscientiously (Meade and Craig, 2012), and this has only recently come to the attention of researchers in the addictions field (Godinho et al., 2016). Almost no research in the published addictions literature has reported screening for random responses. We illustrate how random responses can bias statistical estimates using simulated and real data, and how this is especially problematic in skewed data, as is common with substance use outcomes.

METHOD

We first tested the effects of varying amounts and types of random responses on covariance-based statistical estimates in distributions with varying amounts of skew. We replicated these findings in correlations from a real dataset (Add Health) by replacing varying amounts of real data with simulated random responses.

RESULTS

Skew and the proportion of random responses influenced the amount and direction of bias. When the data were not skewed, uniformly random responses deflated estimates, while long-string random responses inflated estimates. As the distributions became more skewed, all types of random responses began to inflate estimates, even at very small proportions. We observed similar effects in the Add Health data.

CONCLUSIONS

Failing to screen for random responses in survey data produces biased statistical estimates, and data with only 2.5% random responses can inflate covariance-based estimates (i.e., correlations, Cronbach's alpha, regression coefficients, factor loadings, etc.) when data are heavily skewed. Screening for random responses can substantially improve data quality, reliability and validity.

"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.