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

Amanda Luken; Johannes Thrul; Renee M Johnson

doi:10.1186/s42238-021-00080-2

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

J Cannabis Res. 2021 Jun 25;3(1):21. doi: 10.1186/s42238-021-00080-2.

Authors

Amanda Luken¹, Johannes Thrul^{2

3

4}, Renee M Johnson²

Affiliations

¹ Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, Baltimore, Maryland, 21205, USA. aluken1@jhmi.edu.
² Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, Baltimore, Maryland, 21205, USA.
³ Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA.
⁴ Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.

Abstract

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.

Keywords: Adolescent; Cannabis; Complex survey sample; E-cigarettes; Youth Risk Behavior Survey; substance use.

Abstract

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