Identifying factors that increase the likelihood of driving after drinking among college students

LaBrie, Joseph W.; Kenney, Shannon R.; Mirza, Tehniat; Lac, Andrew

doi:10.1016/j.aap.2011.02.011

Cited by 56 publications

(52 citation statements)

References 62 publications

(71 reference statements)

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“…These fi ndings support our hypothesis that teenage substance use, particularly heavy episodic drinking, is a prospective predictor of DWI and RWI, which has previously been found in cross-sectional research (LaBrie et al, 2011;Li et al, 2013;Shope et al, 2003;Shults et al, 2009). To extend prior research on the relationship between parenting practices and risky driving (Bingham et al, 2004;Hartos et al, 2000Hartos et al, , 2002Shope et al, 2001), the current study also explored the longitudinal association between parenting practices and DWI/RWI.…”

Section: Discussionsupporting

confidence: 66%

“…A growing number of studies have examined predictors of teenage DWI and RWI. The most consistent predictor of DWI in studies with adolescent samples, as well as young adult and adult samples, is problem drinking, including heavy alcohol use and drinking-related problems (LaBrie et al, 2011;Li et al, 2013;Sabel et al, 2004;Shope et al, 2003;Shults et al, 2009;Tomas Dols et al, 2010;Zakrajsek and Shope, 2006).…”

Section: Factors Associated With Teenage Dwi and Rwimentioning

confidence: 99%

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Drinking and Parenting Practices as Predictors of Impaired Driving Behaviors Among U.S. Adolescents

Simons-Morton

Brooks‐Russell

et al. 2014

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: The purpose of this study was to identify the extent to which 10th-grade substance use and parenting practices predicted 11th-grade teenage driving while alcohol-/other drug-impaired (DWI) and riding with alcohol-/other drug-impaired drivers (RWI). Method: The data were from Waves 1 and 2 of the NEXT Generation study, with longitudinal assessment of a nationally representative sample of 10th graders starting in [2009][2010]. Multivariate logistic regression analysis was used to examine the prospective associations between proposed predictors (heavy episodic drinking, illicit drug use, parental monitoring knowledge and control) in Wave 1 and DWI/RWI. Results: Heavy episodic drinking at Wave 1 predicted Wave 2 DWI (odds ratio [OR] = 3.73, p < .001) and RWI (OR = 3.92, p < .001) after controlling for parenting practices and selected covariates. Father's monitoring knowledge predicted lower DWI prevalence at Wave 2 when controlling for covariates and teenage substance use (OR = 0.66, p < .001). In contrast, mother's monitoring knowledge predicted lower RWI prevalence at Wave 2 when controlling for covariates only (OR = 0.67, p < .05), but the effect was reduced to nonsignifi cance when controlling for teen substance use. Conclusions: Heavy episodic drinking predicted DWI and RWI. In addition, parental monitoring knowledge, particularly by fathers, was protective against DWI, independent of the effect of substance use. This suggests that the enhancement of parenting practices could potentially discourage adolescent DWI. The fi ndings suggest that the parenting practices of fathers and mothers may have differential effects on adolescent impaired-driving behaviors. (J. Stud. Alcohol Drugs, 75, 5-15, 2014) Safety, 2010). Around the same time adolescents begin driving, the prevalence of substance use increases in this population (CDC, 2012), potentially increasing crash risk. Alcohol-/other drug-related crash riskA substantial body of research (Elvik, 2013;Li et al., 2012) has established that an elevated crash risk results at all ages from impaired driving caused by alcohol (Blomberg et al., 2009), other drugs (Elvik, 2013Li et al., 2012), or alcohol and other drugs used in combination (Kuypers et al., 2012). For example, drivers younger than 21 with a positive blood alcohol concentration experienced twice the crash risk of those ages 25 and older (Peck et al., 2008). Novice teen drivers have especially high crash rates because of inexperience, contributing to the disproportionate effect on this population of driving while impaired by alcohol and/or other drugs (DWI; Peck et al., 2008;Voas et al., 2012).Current national prevalence estimates of teenage drinking and driving in the past month among 11th-grade students range from 9.1% (CDC, 2012) to 12.5% (Li et al., 2013), and two national studies found that 24% of high school students report riding with an impaired driver (RWI) in the past month (CDC, 2012) or in the past year (Li et al., 2013). The National Roadside Survey conducted for the N...

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Section: Discussionsupporting

confidence: 66%

Section: Factors Associated With Teenage Dwi and Rwimentioning

confidence: 99%

Drinking and Parenting Practices as Predictors of Impaired Driving Behaviors Among U.S. Adolescents

Simons-Morton

Brooks‐Russell

et al. 2014

J. Stud. Alcohol Drugs

View full text Add to dashboard Cite

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“…Older students-and students who at Time 1 reported DAD, drank more alcohol, and had less disapproving injunctive norms for a typical student-were more likely to report DAD at Time 2. The fi ndings add further support to cross-sectional data demonstrating that normative beliefs are associated with DAD intentions and behavior (Armitage et al, 2002;LaBrie et al, 2011).…”

Section: Discussionsupporting

confidence: 58%

“…Contrary to previous work (LaBrie et al, 2011), membership in a fraternity or sorority was not associated with DAD. Data for the present study came from a college at which DAD is discouraged among fraternity/sorority students by providing group transport to off-campus fraternity/sorority-sponsored social events, the locations of which are kept undisclosed.…”

Section: Discussioncontrasting

confidence: 55%

“…Previous cross-sectional research has identifi ed a number of risk factors for DAD among college students, including male sex, fraternity/sorority affi liation, and being 21 years of age or older (Kenney et al, in press;Wechsler et al, 2003), as well as owning a fake identifi cation card (Nguyen et al, 2011), having a family history of alcohol problems (LaBrie et al, 2011), and having sensationseeking personality characteristics (Zakletskaia et al, 2009). Further, heavy drinkers are more likely to drive after drinking alcohol (Kenney et al, in press;LaBrie et al, 2011;Quinn and Fromme, 2011), perhaps because of a decreased perception of subjective intoxication and perceived driving impairment (Marczinski et al, 2008).…”

mentioning

confidence: 99%

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Predicting Driving After Drinking Over Time Among College Students: The Emerging Role of Injunctive Normative Perceptions

LaBrie

Napper

Ghaidarov

2012

J. Stud. Alcohol Drugs

Self Cite

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ABSTRACT. Objective: Despite prevention efforts, driving after drinking (DAD) is a prevalent high-risk behavior among college students and is a leading cause of death and injury. Examination of factors predicting future DAD behavior is necessary to develop effi cacious targeted interventions to reduce this behavior among college students. The current study evaluated demographic, social cognitive, and behavioral predictors of DAD using longitudinal data. Method: Participants were 655 nonabstaining college students (67.2% female; 60.3% White; M age = 19.3 years) who completed online surveys at two time points 12 months apart. Results: Results revealed that participants consistently overestimated their peers' approval (injunctive norms) of DAD. In a three-step hierarchical logistic regression model, injunctive norms, age, and past DAD behavior uniquely contributed to the prediction of this behavior 12 months later. Neither sex nor membership in a sorority or fraternity emerged as signifi cant predictors. Conclusions: The fi ndings provide important new insights into the longitudinal predictors of DAD among college students and highlight the need for DAD interventions, particularly among older students. (J. Stud. Alcohol Drugs, 73, 726-730, 2012)

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Marijuana-Using Drivers, Alcohol-Using Drivers, and Their Passengers

2014

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Importance Driving after marijuana use increases the risk of a motor vehicle crash. Understanding this behavior among young drivers and how it may differ from alcohol-related driving behaviors could inform prevention efforts. Objective To describe prevalence, sex differences, and risk factors associated with underage college students’ driving after using marijuana, driving after drinking alcohol, or riding with a driver using these substances. Design, Setting, Participants Cross-sectional telephone survey of a random sample of 315 first-year college students (aged 18-20 years) from 2 large public universities, who were participating in an ongoing longitudinal study. At recruitment, 52.8% of eligible individuals consented to participate; retention was 93.2% one year later when data for this report was collected. Main Outcome Measure(s) Self-reported past-28-day driving after marijuana use, riding with a marijuana-using driver, driving after alcohol use, and riding with an alcohol-using driver. Results In the prior month, 20.3% of students had used marijuana. Among marijuana-using students, 43.9% of males and 8.7% of females drove after using marijuana (p<0.001) and 51.2% of male and 34.8% of female students rode as a passenger with a marijuana-using driver (p=0.21). Most students (65.1%) drank alcohol, and among this group 12.0% of male students and 2.7% of female students drove after drinking (p=0.01), with 20.7% and 11.5% (p=0.07), respectively, reporting riding with a drinking driver. Controlling for demographics and substance use behaviors, driving after substance use was associated with at least a 2-fold increase in risk of being a passenger with another user; the reverse was also true. A 1% increase in the reported percentage of friends using marijuana was associated with a 2% increased risk of riding with a marijuana using driver (95% CI=1.01-1.03). Among students using any substances, past 28-day use of only marijuana was associated with a 6.24-fold increased risk of driving after substance use compared to using only alcohol (95% CI=1.89-21.7). Conclusions and Relevance Driving and riding after marijuana use is common among underage, marijuana-using college students. This is concerning given recent legislation that may increase marijuana availability.

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Identifying factors that increase the likelihood of driving after drinking among college students

Cited by 56 publications

References 62 publications

Drinking and Parenting Practices as Predictors of Impaired Driving Behaviors Among U.S. Adolescents

Drinking and Parenting Practices as Predictors of Impaired Driving Behaviors Among U.S. Adolescents

Predicting Driving After Drinking Over Time Among College Students: The Emerging Role of Injunctive Normative Perceptions

Marijuana-Using Drivers, Alcohol-Using Drivers, and Their Passengers

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