Young People Driving After Drinking and Riding with Drinking Drivers: Drinking Locations—What Do They Tell Us?

ArticleinTraffic Injury Prevention 6(3):212-8 · October 2005with6 Reads
DOI: 10.1080/15389580590969102 · Source: PubMed
The present study investigated the extent to which drinking in specific locations and heavy drinking mediated the effects of overall alcohol use on driving after drinking (DD) and riding with drinking drivers (RWDD) among young people. Additionally, this study examined the relationships among ethnicity, gender, drinking in specific locations, and DD and RWDD. Using random-digit dialing procedures, participants were recruited to take part in a telephone survey in California, United States of America. Participants were 1,534 youth, ages 15-20 years (mean age = 17.6). Latinos, African Americans, and Asian Americans were over-sampled to allow cross-group comparisons. Along with background characteristics, overall alcohol use, heavy drinking, drinking in specific locations, DD, and RWDD were measured. Latent variable structural equation modeling showed that European Americans, males, older adolescents, those who have a driver license, and those who drive more often were more likely to report drinking alcohol in the past year. Heavy episodic drinking and drinking in cars increased both DD and RWDD. Drinking in restaurants also increased DD. The effects of overall alcohol consumption on DD were entirely mediated through heavy episodic drinking and drinking in restaurants and cars. Alcohol consumption had both direct and indirect effects on RWDD. With the exception of being Latino and frequency of driving, the effects of the background variables on RWDD were all entirely mediated through alcohol consumption. Heavy drinking and drinking in specific locations appeared to be important unique predictors of both DD and RWDD. In light of the relationship between drinking in restaurants and in cars, and DD, prevention programs and policies aimed at underage drinking should focus on developing more effective responsible beverage service programs, increasing compliance with laws limiting alcohol sales to youth, and enforcing graduated driver licensing and zero tolerance laws.
    • "young adults college students, suggests the context in which drinking occurs may contribute to specific alcoholrelated problems, such as aggression, risky sex, and drinking and driving (Bersamin et al., 2012; Graham et al., 2002; Gruenewald and Ponicki, 2009; Walker et al., 2005 ). Selfselection of drinkers into different types of drinking contexts is one mechanism by which drinking contexts may contribute to alcohol use and alcohol-related problems (Gruenewald, 2007; Gruenewald et al., 2014 ). "
    [Show abstract] [Hide abstract] ABSTRACT: Different drinkers may experience specific risks depending on where they consume alcohol. This longitudinal study examined drinking patterns, and demographic and psychosocial characteristics associated with youth drinking in different contexts. We used survey data from 665 past-year alcohol-using youths (ages 13 to 16 at Wave 1) in 50 midsized California cities. Measures of drinking behaviors and drinking in 7 contexts were obtained at 3 annual time points. Other characteristics included gender, age, race, parental education, weekly disposable income, general deviance, and past-year cigarette smoking. Results of multilevel regression analyses show that more frequent past-year alcohol use was associated with an increased likelihood of drinking at parties and at someone else's home. Greater continued volumes of alcohol (i.e., heavier drinking) was associated with increased likelihood of drinking at parking lots or street corners. Deviance was positively associated with drinking in most contexts, and past-year cigarette smoking was positively associated with drinking at beaches or parks and someone else's home. Age and deviance were positively associated with drinking in a greater number of contexts. The likelihood of youth drinking at parties and someone else's home increased over time, whereas the likelihood of drinking at parking lots/street corners decreased. Also, deviant youths progress to drinking in their own home, beaches or parks, and restaurants/bars/nightclubs more rapidly. The contexts in which youths consume alcohol change over time. These changes vary by individual characteristics. The redistribution of drinking contexts over the early life course may contribute to specific risks associated with different drinking contexts. Copyright © 2015 by the Research Society on Alcoholism.
    Article · Mar 2015
    • "Alcohol use is a premise for drunk driving, and the expected positive association between alcohol consumption and drunk driving is well-documented (see Moan, Norström, & Storvoll, 2013, for review). Moreover, those who drink alcohol are more likely to be passengers of drunk drivers (Calafat et al., 2009; Pounlin, Boudreau, & Asbridge, 2007; Walker et al., 2005 ). However , previous studies applying the TPB to study intentions to drink and drive have not examined the impact of alcohol use beyond the impact of the TPB components. "
    [Show abstract] [Hide abstract] ABSTRACT: The purpose of this study was to determine to what extent the theory of planned behaviour (TPB) extended with past behaviour, moral norm, descriptive norm, demographic variables and frequency of alcohol use is able to predict intentions not to ride with an intoxicated driver. Second, to examine whether different processes guide intentions among young passengers (35 years and below) versus passengers aged above 35 years, and women’s versus men’s intentions. Questionnaires were sent to a sample of 4000 people in Norway aged between 18 and 70 years, and were completed by 1025 respondents, 44.9% were men (M = 43.9 years). The results showed that the TPB variables explained 19% (Adjusted R2) of the variance in intentions, and that the extension variables gave a significant contribution to the explained variance (R2 change = .04), after controlling for the impact of the TPB components. Age, gender and frequency of alcohol use had no significant impact on intention after controlling for the TPB components. Perceived behavioural control was the strongest predictor of intention (β = .25, p < .001), followed by moral norm (β = .16, p < .001), past behaviour (β = −.12, p < .001), descriptive norm (β = .09, p < .01) and subjective norm (β = .08, p < .05). Several group differences were found. The extended TPB model explained 27% and 17% (Adjusted R2) of men’s and women’s intentions, respectively, and 40% and 20% (Adjusted R2) of the variance in intentions among young and older passengers, respectively. The practical implications of these results for the development of interventions to motivate passengers not to ride with intoxicated drivers are outlined.
    Full-text · Article · Sep 2013
    • "As much as 29% of young drivers ages 15–20 that had been killed in motor vehicle accidents had been drinking alcohol [13] . Heavy episodic drinking , drinking in cars, and individual expectations about the negative consequences of DUI all influence an adolescent's decision to drive drunk or ride with someone under the in- fluence141516. Research also suggests that chronically low rates of underage drinking and DUI arrests may lead to decreased awareness of DUI as a drinking consequence among young people [13, 17]. "
    [Show abstract] [Hide abstract] ABSTRACT: Introduction. Underage drinking can have profoundly negative impacts on childhood development. This study compares 4 categories of known underage drinking risk factors with alcohol consumption. The social indicators in these categories will be compared in the 10 most-at-risk (MAR) counties and the 10 least-at-risk (LAR) counties identified in Georgia. Methods. Independent 2-tailed t-tests were conducted to compare group means among MAR and LAR counties for all identified risk factors. Results. Significant differences were observed in all factors included in the poverty and alcohol outlet density categories. Discussion. The findings underscore the importance of better understanding youth drinking, poverty, and alcohol outlet density. However, our findings, supported by previous individual and aggregated level research, support strategies for researchers and policy makers to more proactively respond to poverty-stricken and high-density alcohol outlet indicators. The current ecological evaluation of underage drinking risk assessed on a macrolevel offers insights into the demographic features, social structures, and cultural patterns of counties that potentially predispose youth to greater health risks specifically associated with underage drinking.
    Full-text · Article · Dec 2011
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