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Trends and correlates of driving under the influence of alcohol among different types of adult substance users in the United States: a national survey study.

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Date
2019-05-04
Authors
Park, Ji-Yeun
Park, Ji-Yeun
Wu, Li-Tzy
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Abstract
BACKGROUND:Despite a decrease in driving under the influence of alcohol (DUIA) prevalence over the past decades, DUIA prevalence still remains high in the United States. To date, there is limited research examining whether different types of substance users have different trends in DUIA. This study sought to assess trends and variables associated with DUIA by substance use type. METHODS:National Survey on Drug Use and Health (NSDUH) is a cross-sectional, nationally representative population-based survey. By using the NSDUH 2008-2014, we performed the Joinpoint analysis to identify time trends of DUIA in each group of substance users (aged ≥18 years). Logistic regression analysis was used to explore association between substance use type and DUIA and to identify variables associated with DUIA. RESULTS:Adults who reported alcohol or drug use in the past year were classified into different groups based on past-year substance use status: alcohol use only (n = 141,521) and drug use regardless alcohol use. Drug users included prescription opioids only (n = 5337), marijuana only (n = 32,206), other single drug (n = 3789), prescription opioids-marijuana (n = 3921), multiple prescription drugs (n = 1267), and other multiple drugs (n = 18,432). The Joinpoint analysis showed that DUIA prevalence decreased significantly from 2008 to 2014 among alcohol only users (Average Annual Percent Change [AAPC] = - 2.8), prescription opioids only users (AAPC = -5.4), marijuana only users (AAPC = -5.0), prescription opioids-marijuana users (AAPC = -6.5), multiple prescription drug users (AAPC = -7.4), and other multiple drug users (AAPC = -3.2). Although the estimate was not statistically significant, other single drug users showed a decreasing trend (AAPC = -0.9). Substance use type was significantly associated with DUIA in the adjusted logistic regression. All drug use groups, relative to the alcohol only group, had elevated odds of DUIA, and the odds were especially elevated for the multiple drug use groups (prescription opioids-marijuana, adjusted odds ratio [AOR] = 2.71; multiple prescription drugs, AOR = 2.83; and other multiple drugs, AOR = 3.68). Additionally, younger age, male sex, being white, higher income, and alcohol abuse/dependence were positively associated with DUIA. CONCLUSIONS:DUIA prevalence decreased over time and the magnitude of this reduction differed by substance use type. DUIA interventions need to be tailored to substance use type and individual characteristics.
Type
Journal article
Subject
Humans
Substance-Related Disorders
Alcoholism
Health Surveys
Prevalence
Logistic Models
Cross-Sectional Studies
Alcohol Drinking
Adolescent
Adult
Middle Aged
United States
Female
Male
Drug Users
Prescription Drugs
Driving Under the Influence
Permalink
https://hdl.handle.net/10161/19920
Published Version (Please cite this version)
10.1186/s12889-019-6889-8
Publication Info
Park, Ji-Yeun; Park, Ji-Yeun; & Wu, Li-Tzy (2019). Trends and correlates of driving under the influence of alcohol among different types of adult substance users in the United States: a national survey study. BMC public health, 19(1). pp. 509. 10.1186/s12889-019-6889-8. Retrieved from https://hdl.handle.net/10161/19920.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Wu

Li-Tzy Wu

Professor in Psychiatry and Behavioral Sciences
Education/Training: Pre- and post-doctoral training in mental health service research, psychiatric epidemiology (NIMH T32), and addiction epidemiology (NIDA T32) from Johns Hopkins University School of Public Health (Maryland); Fellow of the NIH Summer Institute on the Design and Conduct of Randomized Clinical Trials.Director: Duke Community Based Substance Use Disorder Research Program.Research interests: COVID-19, Opioid misuse, Opioid overdose, Opioid use disorder
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