Adolescent E-cigarette use trajectories and subsequent alcohol and marijuana use

Park, Eun-Hee; Livingston, Jennifer A.; Wang, Weijun; Kwon, Misol; Eiden, Rina D.; Chang, Yu Ping

doi:10.1016/j.addbeh.2019.106213

Cited by 54 publications

(46 citation statements)

References 28 publications

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“…The PATH study showed that youth with lifetime e-cigarette use had an increased likelihood of initiating cannabis a year later, compared to never e-cigarette users (Dai et al 2018 ). Our findings build upon existing research on the relationship between lifetime e-cigarette use and current cannabis use (Dai et al 2018 ; Chadi et al 2019 ; Park et al 2020 ; Silveira et al 2018 ; Audrain-McGovern et al 2018 ) by providing evidence with a large statewide representative sample of high school student in Maryland and by accounting for other substance use and county differences.…”

Section: Discussionsupporting

confidence: 65%

“…Because both cigarette and alcohol use are associated with both e-cigarette and cannabis use (Park et al 2020 ; Hershberger et al 2020 ; D'Amico et al 2020 ; Moss et al 2014 ), both were included as control variables. For age at first cigarette use, students responded to “How old were you when you smoked a whole cigarette for the first time?” To reflect lifetime cigarette use, we dichotomized responses into never and all other responses as ever.…”

Section: Methodsmentioning

confidence: 99%

“…Historically, the use of cigarettes preceded cannabis use initiation (Johnston et al 2014 ; Kandel 2002 ), but with the decrease in cigarette use and emergence of e-cigarettes (Levy et al 2019 ), youth are increasingly initiating substance use with e-cigarettes (rather than cigarettes) and are subsequently transitioning to cannabis use (Chadi et al 2019 ; Dai et al 2018 ; Park et al 2020 ; Silveira et al 2018 ; Audrain-McGovern et al 2018 ). Recent meta-analyses show that e-cigarette use is associated with a greater than 3.5- to 6- fold increase in the odds of cannabis use; the magnitude of effects was stronger in studies published after 2017 (Chadi et al 2019 ; Hershberger et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

2021

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Objective To determine the relationship between lifetime e-cigarette use and current cannabis use among youth. Our analyses accounted for county variability, in addition to student-level covariates. Methods This study examined responses from high school students on a state-level population survey, the 2018 Maryland Youth Risk Behavior Survey/Youth Tobacco Survey, a cross-sectional, complex survey sample. Of participating students, final analyses included an unweighted sample of 41,091 9th to 12th grade students who provided complete reports for measured variables. Analyses with survey weights were conducted between August 2019 and May 2020. A multivariable logistic regression was conducted to investigate the association between lifetime e-cigarette use and current (past 30-day) cannabis use, after controlling for county, lifetime cigarette use, current (past 30-day) alcohol use, emotional distress, and demographics. Results Lifetime e-cigarette use significantly increased the odds of current cannabis use among Maryland high school students (aOR = 6.04; 95% CI 5.27, 6.93). Other significant risk factors for current cannabis use included lifetime cigarette use (aOR 2.23, 95% CI 1.86, 2.68) and current alcohol use (aOR 5.21, 95% CI 4.42, 6.14). Significantly higher odds of current cannabis use were also found among older high school students, males, non-Hispanic Blacks and students identifying as other race, and those reporting emotional distress. Conclusions Lifetime e-cigarette use among Maryland high school students is strongly associated with current cannabis use when including counties as a covariate. Non-significant county differences, however, suggest smaller geographical units may be required to control for variability. Efforts should focus on reducing youth e-cigarette use to decrease cannabis use. Maryland’s recent implementation of Tobacco 21 and a ban on flavored e-cigarettes will be of interest for future evaluations.

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Section: Discussionsupporting

confidence: 65%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

2021

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“…Although Park et al 11 and Westling et al 12 showed that adolescents can be classified into distinct trajectories of vaping, neither study examined the transition from adolescence to young adulthood. This is a population at high risk because transitions to college and/or the workforce and increased familial and financial responsibility are associated with increased risk of polysubstance use, enduring substance use problems, and substance use disorder.…”

Section: Introductionmentioning

confidence: 98%

“… 8 , 9 , 10 However, to date, only 2 longitudinal studies have sought to identify trajectories of nicotine vaping. Park et al 11 identified 3 e-cigarette trajectories from 13 to 17 years of age: never (66.6%), low and increasing (20.1%), and high and increasing (13.3%). Westling et al 12 reported 2 trajectories of e-cigarette use from 8th to 9th grade: 94.8% infrequent or no use and 5.1% accelerated use.…”

Section: Introductionmentioning

confidence: 99%

Trajectories of Nicotine and Cannabis Vaping and Polyuse From Adolescence to Young Adulthood

et al. 2020

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IMPORTANCE Little is known about cannabis vaping trajectories across adolescence and young adulthood or the co-occurrence with nicotine vaping. OBJECTIVE To evaluate nicotine vaping and cannabis vaping trajectories from late adolescence to young adulthood (Ն18 years of age) and the extent of polysubstance vaping. DESIGN, SETTING, AND PARTICIPANTS In this prospective cohort study, 5 surveys (including information on substance vaped) were completed at 10 high schools in the Los Angeles, California, metro area. Students were surveyed at 6-month intervals from fall of 11th grade (October to December 2015; wave 5) through spring of 12th grade (March to June 2017; wave 8) and again approximately 1 to 2 years after high school (October 2018 to October 2019; wave 9). EXPOSURES Past 30-day nicotine and cannabis vaping frequency across 5 waves. MAIN OUTCOMES AND MEASURES Self-reported frequency of nicotine vaping and cannabis vaping within the past 30 days across 5 time points from late adolescence to young adulthood. Trajectories were measured with these past 30-day use frequencies at each wave. Parallel growth mixture modeling estimated conditional probabilities of polysubstance vaping. RESULTS The analytic sample included 3322 participants with at least 1 time point of data (mean [SD] age, 16.50 [0.42] years at baseline; 1777 [53.5%] female; 1573 [47.4%] Hispanic or Latino). Growth mixture modeling identified the 5-trajectory model as optimal for both nicotine vaping and cannabis vaping. Trajectories for nicotine and cannabis vaping were similar

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E‐cigarettes in Nigeria: A scoping review of evidence

Adegbile,

Adeniji,

Amzat

et al. 2024

Health Science Reports

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Background and AimsE‐cigarettes will continue to be a public health issue in Nigeria. To curb the growing menace of the e‐cigarette use in Nigeria through evidence‐based approach, it is crucial to first map the empirical research landscape of e‐cigarettes in Nigeria. No known study has mapped the existing empirical evidence and gaps concerning e‐cigarettes in Nigeria; hence, this scoping review was conducted.MethodsThis scoping review adopted the research design by Arksey and O'Malley. Four databases (PubMed, SCOPUS, CINAHL Complete, and APA PsycINFO) were searched to retrieve literature on e‐cigarettes in Nigeria. With the aid of Rayyan web application, all retrieved literature were deduplicated and screened based on the review's eligibility criteria. Only those peer‐reviewed journal papers meeting the inclusion criteria were included in the review. Relevant data from the included papers were charted, collated, and summarized.ResultsA total of six papers were included in this review. The reviewed papers reported a lifetime prevalence of e‐cigarette use (or vaping) ranging from 5.8% to 19.8%, with a current e‐cigarette use prevalence of 11.8%, among different population groups in Nigeria. The major determinants of e‐cigarette use, as reported in these articles, include being a youth, having a health condition, severe anxiety, tobacco use, peer influence, and current alcohol use. Dry mouth and oral lesions (gingival inflammation and oral ulcers) were also identified to be the medical conditions associated with e‐cigarette use in Nigeria. Lastly, one of the included papers identified a lack of clear regulation on e‐cigarettes in Nigeria.ConclusionThere is an urgent need for more scientific investigations on the sociodemographic, economic, health, and regulatory landscape of e‐cigarettes in Nigeria, as robust empirical evidence is needed for the effective planning, implementation, and evaluation of evidence‐based policies and interventions on e‐cigarettes control and regulation in Nigeria.

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Adolescent E-cigarette use trajectories and subsequent alcohol and marijuana use

Cited by 54 publications

References 28 publications

Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

Trajectories of Nicotine and Cannabis Vaping and Polyuse From Adolescence to Young Adulthood

E‐cigarettes in Nigeria: A scoping review of evidence

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