Evidence map›Paper›PMID 31054563›Full record

ArticleBMC public health2019

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.

Ji-Yeun Park, Li-Tzy Wu

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ji-Yeun ParkDepartment of Psychiatry and Behavioral Sciences, BOX 3903, Duke University School of Medicine, Durham, NC, USA. pjy0225@gmail.com.ORCID http://orcid.org/0000-0003-0346-4524
Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, BOX 3903, Duke University School of Medicine, Durham, NC, USA. litzy.wu@duke.edu.

Funding

Project-003UG1DA040317 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2015 to 2019
$9.0M
Substance Abuse & Treatment Gaps in Asians, Pacific Islanders & Multiple-race IndR01MD007658 · NIMHD · DUKE UNIVERSITY · PI WU, LI-TZY · 2013 to 2017
$1.8M
National Institutes of Health R01MD007658National Institutes of Health UG1DA040317NIDA NIH HHS UG1 DA040317NIMHD NIH HHS R01 MD007658
6 · The paper itself

Abstract

backgroundDespite 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.

methodsNational 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.

resultsAdults 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.

conclusionsDUIA 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.

Indexed as

AdolescentAdultAlcohol DrinkingAlcoholismCross-Sectional StudiesDriving Under the InfluenceDrug UsersFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedPrescription DrugsPrevalenceSubstance-Related DisordersPrescription DrugsAlcohol-impaired drivingDrug use typeMarijuanaOpioidsPolydrug usePrevalenceTrends

Identifiers

PMID31054563
PMCPMC6500580

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.