Electronic Cigarette Use and Risk of Harmful Alcohol Consumption in the <scp>U.S.</scp> Population

Roberts, Walter; Moore, Kelly; Peltier, MacKenzie R.; Verplaetse, Terril L.; Oberleitner, Lindsay; Hacker, Robyn L.; McKee, Sherry A.

doi:10.1111/acer.13889

Cited by 38 publications

(12 citation statements)

References 46 publications

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“…In another study looking at e-cigarette use in adult never smokers (never smokers included current smokers who were not smokers a year ago), black people and Hispanics had decreased odds of current and regular e-cigarette use, while unmarried participants had increased odds of current and regular e-cigarette use [ 73 ]. E-cigarette use has also been shown to be associated with alcohol use and alcohol use disorder in nonsmokers of cigarettes [ 74 ]. Associations with asthma [ 18 ] and depression [ 13 ] have also been reported for sole e-cigarette use.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

Atuegwu

Oncken

Laubenbacher

et al. 2020

IJERPH

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E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18–34 years) never cigarette smokers from the 2016 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) who reported current or never e-cigarette use were used for the analysis (n = 79,539). Variables associated with current e-cigarette use were selected by two ML algorithms (Boruta and Least absolute shrinkage and selection operator (LASSO)). Odds ratios were calculated to determine the association between e-cigarette use and the variables selected by the ML algorithms, after adjusting for age, gender and race/ethnicity and incorporating the BRFSS complex design. The prevalence of e-cigarette use varied across states. Factors previously reported in the literature, such as age, race/ethnicity, alcohol use, depression, as well as novel factors associated with e-cigarette use, such as disabilities, obesity, history of diabetes and history of arthritis were identified. These results can be used to generate further hypotheses for research, increase public awareness and help provide targeted e-cigarette education.

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Section: Discussionmentioning

confidence: 99%

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

Atuegwu

Oncken

Laubenbacher

et al. 2020

IJERPH

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“…Analysis of epidemiological datasets find that tobacco cigarette users are significantly more likely to meet criteria for alcohol use disorders (AUD) and to meet hazardous drinking criteria (McKee et al, 2007). Similar studies found that people who use other nicotine delivery devices (e.g., electronic cigarettes; Roberts et al, 2018a) also showed elevated rates of AUD and hazardous alcohol use relative to the general population. Eventlevel data suggest that smokers consume more alcohol during occasions where they also smoke (Witkiewitz et al, 2012), and people being successfully treated for alcohol use also show a corresponding reduction in smoking (Roberts et al, 2018b).…”

Section: Introductionmentioning

confidence: 89%

A prospective study of the association between rate of nicotine metabolism and alcohol use in tobacco users in the United States

Roberts

Marotta

Verplaetse

et al. 2020

Drug and Alcohol Dependence

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“…E-cigarettes are marketed and used as alternatives to cigarettes [ 14 , 15 ]. E-cigarette use is positively correlated with cigarette smoking and has been associated with increased levels of alcohol, marijuana, and other substance use [ 5 , 7 , 16 , 17 , 18 ]. In addition, although used mainly for nicotine consumption, e-cigarettes are also used to vape marijuana [ 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

The Effects of E-Cigarette Use on Alcohol and Marijuana Abuse Symptoms in an Ethnically Diverse Sample of Young Adults

Pokhrel

Elwir

Mettias

et al. 2021

IJERPH

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Background: We examined e-cigarette use as a prospective predictor of alcohol and marijuana abuse symptoms in a sample consisting of Native Hawaiian and Other Pacific Islander (NHPI), Filipino, Asian (i.e., Japanese, Chinese, Korean), and White young adults. NHPI represent a highly vulnerable group with regard to substance use and are severely understudied. Methods: Data were collected from 1463 young adults (M age = 22.2, SD = 3.2; 59.5% women) enrolled across community colleges in Hawai‘i at two time-points six months apart. Results: Higher frequency of e-cigarette use at baseline was predictive of higher alcohol (B = 0.06, SE = 0.02, p < 0.01) and marijuana (B = 0.06, SE = 0.02, p < 0.01) use problems at six-month follow up, adjusting for baseline cigarette smoking, problem alcohol/marijuana use, sensation seeking, and demographic variables. Ethnicity was found to significantly moderate the relationship between baseline e-cigarette use and problem marijuana use later, such that White and NHPI ethnicities were particularly vulnerable to the effects of e-cigarette use on problem marijuana use. Conclusion: NHPI are often combined with Asians in national surveys, which obfuscates the higher risks faced by NHPI compared with groups that are routinely classified as Asians (e.g., Chinese, Japanese, Filipinos). The current research highlights the NHPI’s vulnerability in terms of the effects of e-cigarette use on marijuana and alcohol abuse symptoms.

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

Abstract: 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.

Cited by 38 publications

References 46 publications

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

A prospective study of the association between rate of nicotine metabolism and alcohol use in tobacco users in the United States

The Effects of E-Cigarette Use on Alcohol and Marijuana Abuse Symptoms in an Ethnically Diverse Sample of Young Adults

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