Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study

Authors

Katelyn F. Romm, Department of Prevention and Community Health, Milken Institute School of Public Health; George Washington Cancer Center, George Washington University, Washington, DC.
Brooke Patterson, Global Health Design, Monitoring & Evaluation, Milken Institute School of Public Health, George Washington University, Washington, DC.
Yan Wang, Department of Prevention and Community Health, Milken Institute School of Public Health; George Washington Cancer Center, George Washington University, Washington, DC.
Christina N. Wysota, Department of Prevention and Community Health, Milken Institute School of Public Health; George Washington Cancer Center, George Washington University, Washington, DC.
Yael Bar-Zeev, Braun School of Public Health and Community Medicine, Hebrew University of Jerusalem - Hadassah Medical Centre, Jerusalem, Israel.
Hagai Levine, Braun School of Public Health and Community Medicine, Hebrew University of Jerusalem - Hadassah Medical Centre, Jerusalem, Israel.
Carla J. Berg, Department of Prevention and Community Health, Milken Institute School of Public Health; George Washington Cancer Center, George Washington University, Washington, DC.

Document Type

Journal Article

Publication Date

5-1-2022

Journal

Journal of studies on alcohol and drugs

Volume

83

Issue

3

Abstract

OBJECTIVE: Little research has examined psychosocial influences differentially associated with driving under the influence of alcohol and marijuana (DUIA/DUIM) or of being a passenger in a vehicle driven by someone under the influence of alcohol or marijuana (PVA/PVM). METHOD: Using 2019 survey data among 2,375 young adults ( age = 24.66, 57.7% female, 51.2% in states with legal marijuana retail) in a longitudinal study examining vaping retail, we conducted latent class analysis (LCA) to identify classes of DUI-related behaviors and multinomial logistic regression to identify correlates of classes (e.g., individual, interpersonal, policy related). RESULTS: A total of 22.6% reported past-month DUIA, 24.1% DUIM, 29.7% PVA, and 27.7% PVM. Of those reporting DUIA, 41.4% reported DUIM, 71.8% PVA, and 40.7% PVM. Of those reporting DUIM, 47.7% reported DUIA, 49.6% PVA, and 83.8% PVM. LCA indicated four classes: alcohol and marijuana risk takers (5.9%), all of whom reported DUIA and DUIM, 81.2% PVA, and 89.2% PVM; marijuana risk takers (14.2%), 45.1% DUIM, 100% PVM, 7.8% PVA, and 0% DUIA; alcohol risk takers (24.1%), 40.1% DUIA, 98.6% PVA, 2.6% DUIM, and 33.8% PVM; and low risk takers (55.8%), 8.7% DUIA, 4.5% DUIM, and 0% PVA/PVM. Relative to the other classes, alcohol and marijuana risk takers were more likely male, heterosexual, and White, and alcohol and marijuana risk takers reported greater depressive symptoms. Influences of parent/peer alcohol versus marijuana use were specific to the respective DUI risk behaviors. No differences emerged for legal marijuana retail. CONCLUSIONS: Findings regarding those at particular risk, social influences, and situations under which DUI-related behaviors occur should inform future interventions and research.

APA Citation

Romm, Katelyn F.; Patterson, Brooke; Wang, Yan; Wysota, Christina N.; Bar-Zeev, Yael; Levine, Hagai; and Berg, Carla J., "Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study" (2022). GW Authored Works. Paper 1036.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/1036

Department

Prevention and Community Health