Driving under the influence: An analysis of second-time offenders and intervention success, Turkey sample.

OBJECTIVES: Driving under the influence (DUI) of alcohol is a major public health issue that results in significant mortality, morbidity, and economic costs. Despite various penalties and interventions, DUI remains prevalent. This study examines the demographic characteristics, educational status, and involvement in motor vehicle accidents of second-time DUI offenders, aiming to identify factors influencing the success of educational interventions. METHODS: Between 2018 and 2023, 151 individuals whose driver's licenses were suspended for a second DUI offense participated in this study. All participants applied to the Adiyaman Provincial Health Directorate, located in the southeast region of Turkey, to regain their licenses. Data were collected from application documents and digital records during and after the educational program, which included identity information, demographic characteristics, reasons for alcohol consumption, license duration, education level, educational success, frequency of alcohol use, and behavior under the influence. Penalties and traffic accidents in the last 5 years were also recorded. RESULTS: Participants with a high school education and above had a significantly higher success rate in the educational program (P = .03). Those without penalties (P = .001) and those not involved in traffic accidents (P = .006) also showed higher success rates. CONCLUSION: Despite its limitations, this study shows that second-time DUI offenders who have previous traffic tickets or accidents are less likely to succeed in educational interventions. These findings suggest the need for tailored training programs, extended durations, and personalized evaluations to improve outcomes for these high-risk groups. Future research should explore prospective studies to confirm these results and guide intervention strategies.

Drinking and driving: A systematic review of the impacts of alcohol consumption on manual and automated driving performance.

INTRODUCTION: Almost a third of car accidents involve driving after alcohol consumption. Autonomous vehicles (AVs) may offer accident-prevention benefits, but at current automation levels, drivers must still perform manual driving tasks when automated systems fail. Therefore, understanding how alcohol affects driving in both manual and automated contexts offers insight into the role of future vehicle design in mediating crash risks for alcohol-impaired driving. METHOD: This study conducted a systematic review on alcohol effects on manual and automated (takeover) driving performance. Fifty-three articles from eight databases were analyzed, with findings structured based on the information processing model, which can be extended to the AV takeover model. RESULTS: The literature indicates that different Blood Alcohol Concentration (BAC) levels affect driving skills essential for traffic safety at various information processing stages, such as delayed reacting time, impaired cognitive abilities, and hindered execution of driving tasks. Additionally, the driver's driving experience, drinking habits, and external driving environment play important roles in influencing driving performance. CONCLUSIONS: Future work is needed to examine the effects of alcohol on driving performance, particularly in AVs and takeover situations, and to develop driver monitoring systems. PRACTICAL APPLICATIONS: Findings from this review can inform future experiments, AV technology design, and the development of driver state monitoring systems.

Impact of alcohol driving-while-impaired license suspension duration on future alcohol-related license events and motor vehicle crash involvement in North Carolina, 2007 to 2016.

BACKGROUND/PURPOSE: License suspensions are a strategy to address alcohol-impaired driving behavior and recidivism following an alcohol driving while impaired (alcohol-DWI) conviction. Little is known about the specific impacts of conviction-related suspensions on safety outcomes and given recent fluctuations in alcohol-impaired driving behavior, crashes, and suspension trends, updated and focused assessments of this intervention are necessary. This study aimed to 1) examine the association between type of recent alcohol-DWI suspension and having a secondary alcohol-related license outcome and/or future crash event in North Carolina (NC) between 2007 and 2016; and 2) assess potential modification of these associations by race/ethnicity. METHODS: We used linked NC licensing data, NC crash data, and county-level contextual data from a variety of data sources. We compared individuals ages 21 to 64 who sustained initial (1-year) versus repeat (4-year) suspensions for alcohol-related license and crash involvement outcomes. We estimated unadjusted and adjusted hazard ratios (aHRs) using Cox proportional hazards models and produced Kaplan-Meier (KM) survival curves using a three-year follow-up period. After observing statistically significant modification by race/ethnicity, we calculated stratified aHRs for each outcome (Black and White subgroups only, as other subgroups had low numbers of outcomes). RESULTS: 122,002 individuals sustained at least one alcohol-DWI conviction suspension (117,244 initial, 4,758 repeat). Adjusted KM survival curves indicated that within three years of the index suspension, the predicted risks of having a license outcome and crash outcome were about 8 % and 15 %, respectively, among individuals with an initial suspension and 5 % and 10 %, respectively, among individuals with a repeat suspension. After adjusting for potential confounding, we found that compared to those with an initial suspension, those with repeat suspensions had a lower incidence of future license (aHR: 0.49; 95 % CI: 0.42, 0.57) and crash outcomes (aHR: 0.67; 95 % CI: 0.60, 0.75). Among Black individuals, license outcome incidence was 162 % lower among repeat versus initial index suspension groups (aHR: 0.38; 95 % CI: 0.26, 0.55), while for White individuals, the incidence was 87 % lower (aHR: 0.54; 95 % CI: 0.45, 0.64). Similarly, crash incidence for repeat versus initial suspensions among Black individuals was 56 % lower (aHR: 0.64; 95 % CI: 0.50, 0.83), while only 39 % lower among White individuals (aHR: 0.72; 95 % CI: 0.63, 0.81). CONCLUSIONS: Decreased incidence of both license and crash outcomes were observed among repeat versus initial index suspensions. The magnitude of these differences varied by race/ethnicity, with larger decreases in incidence among Black compared to White individuals. Future research should examine the underlying mechanisms leading to alcohol-impaired driving behavior, convictions, recidivism, and crashes from a holistic social-ecological perspective so that interventions are designed to both improve road safety and maximize other critical public health outcomes, such as access to essential needs and services (e.g., healthcare and employment).

Driving under the influence of substances and motor vehicle fatalities among older adults in the United States.

OBJECTIVE: This study examines contribution of substance use (including alcohol, cannabinoids, stimulants, narcotics, depressants, and hallucinogens) on the probability of drivers being at-fault for a crash on U.S. public roads, with specific emphasis on older adult drivers. METHODS: Data from the National Highway Traffic Safety Administration's Fatality Analysis Reporting System (FARS) for the years 2010-2018 were employed for 87,060 drivers (43,530 two-vehicle crash pairs) involved in two moving vehicle crashes. The quasi-induced exposure (QIE) method was used to compute the relative crash involvement ratios (CIRs) for each relevant substance and illicit drug. Mixed-effect generalized linear regression models were fit to examine the effect of substance use on the probability of a driver being at-fault for a crash. RESULTS: There were 75.51% males and 73.88% Non-Hispanic Whites in our sample. The CIR for those aged 70-79 years was 1.17, and more than double (2.56) for the ≥80 years old drivers, while being relatively low among drivers of ages 20 to 69. Substance use, in general, disproportionately increased the probability of being at-fault during a crash, regardless of driver's age. Though older drivers are less likely than other age groups to report substance use, presence of substances among older drivers increased the probability of their being at-fault two to four times during a crash across almost all substances. The regression models, after adjusting for driver's sex, road grade, weather, light conditions, distraction, and speeding at time of crash, revealed that older drug-impaired drivers were twice as likely to be at fault in a fatal crash (aOR = 1.947; 95% CI = 1.821, 2.082; <0.0001) compared to their middle-aged counterparts. Similarly, most substance use categories were responsible for the probabilities of higher CIRs among the drivers. CONCLUSION: These findings necessitate continued efforts to bring awareness to the deadly consequences of "drugged driving," especially among older adult drivers.

Trends in alcohol-impaired crashes in California, 2016 to 2021: A time series analysis for alcohol involvement and crash distribution among demographic subgroups.

BACKGROUND: In 2020, the COVID-19 pandemic and control measures changed alcohol consumption in the United States (US) and globally. Before the pandemic, alcohol-impaired crashes contributed to approximately one-third of all road traffic crash injuries and fatalities nationally. We examined the impact of the COVID-19 pandemic on crashes and examined differences in alcohol-involved crashes across various subgroups. METHODS: The University of California Berkeley Transportation Injury Mapping Systems provided information on all crashes reported to the California Highway Patrol from January 1, 2016 through December 31, 2021. Using autoregressive integrated moving average (ARIMA) models applied to weekly time series data, we estimated the effect of California's first mandatory statewide shelter-in-place order (March 19, 2020) on crashes per 100,000 population. We also examined crash subgroups according to crash severity, sex, race/ethnicity, age, and alcohol involvement. RESULTS: In California, the mean crash rate per week before the pandemic (January 1, 2016-March 18, 2020) was 9.5 crashes per 100,000 population, and 10.3% of those were alcohol-involved. After the initiation of the COVID-19 stay-at-home order, the percentage of crashes that were alcohol-involved rose to 12.7%. Overall, the crash rate across California decreased significantly (-4.6 crashes per 100,000; 95% CI: -5.3, -3.9), including across all examined subgroups, with the greatest decrease among the least severe crashes. However, there was a 2.3% absolute increase in the proportion of crashes that were alcohol-involved (0.02 crashes per 100,000; 95% CI: 0.02, 0.03). CONCLUSIONS: The initiation of a COVID-19 stay-at-home ordinance in California was associated with a substantial decrease in overall crash rates. While crashes have returned to pre-pandemic levels, alcohol-involved crashes remain elevated. The initiation of the stay-at-home order significantly increased alcohol-impaired driving, which has remained elevated.

Crash harm before and during the COVID-19 pandemic: Evidence for spatial heterogeneity in Tennessee.

Major concerns have been raised about road safety during the COVID-19 pandemic in the US, as the crash fatalities have increased, despite the substantial reduction in traffic. However, a comprehensive analysis of safety-critical events on roadways based on a broader set of traffic safety metrics and their correlates is needed. In addition to fatalities, this study uses changes in total crashes and total monetary harm as additional measures of safety. A comprehensive and unique time-series database of crashes and socio-economic variables is created at the county level in Tennessee. Statistics show that while fatal crashes increase by 8.2%, total crashes decrease by 15.3%, and the total harm cost is lower by about $1.76 billion during COVID-19 (2020) compared with pre-COVID-19 conditions (2019). Several models, including generalized least squares linear, Poisson, and geographically weighted regression models using the differences between 2020 and 2019 values, are estimated to rigorously quantify the correlates of fatalities, crashes, and crash harm. The results indicate that compared to the pre-pandemic periods, fatal crashes that occurred during the pandemic are associated with more speeding & reckless behaviors and varied across jurisdictions. Fatal crashes are more likely to happen on interstates and dark-not-lighted roads and involve commercial trucks. These same factors largely contribute to crash harm. In addition, a greater number of long trips per person not staying home during COVID-19 is found to be associated with more crashes and crash harm. These results can inform policymaking to strengthen traffic law enforcement through appropriate countermeasures, such as the placement of warning signs and the reduction of the speed limit in hotspots.

Alcohol-impaired driving enforcement priorities and strategies in a nationwide sample of U.S. law enforcement agencies.

OBJECTIVE: Excessive alcohol consumption leads to a range of public health problems and social and financial burdens. Traffic crashes resulting from alcohol-involved driving are a major contributor to the overall health consequences of alcohol. Various laws and enforcement strategies aim to prevent alcohol-involved driving. The extent to which law enforcement agencies prioritize enforcement of alcohol-impaired driving laws can help to reduce alcohol-impaired driving. Among law enforcement agencies in the US, we examined prioritization of alcohol-impaired driving enforcement and how it is associated with use of specific enforcement strategies, as well as agency and community characteristics. METHODS: We conducted a survey of a national sample of 1,024 US police and sheriff agencies in 2019. We assessed prioritization of alcohol-impaired driving enforcement, use of specific enforcement strategies (saturation patrols, sobriety checkpoints, open container law enforcement, training field officers to identify driving impairment), and agency and jurisdiction characteristics. We assessed how priority of enforcement (high vs. low) was associated with use of specific strategies, and agency and jurisdiction characteristics using regression models that accounted for agencies nesting within states. RESULTS: A majority of agencies (68%) placed a high priority on alcohol-impaired driving enforcement. Almost all agencies (93%) reported performing at least one alcohol-impaired driving enforcement strategy and the most common strategy used was saturation patrols. Agencies that prioritized alcohol-impaired driving enforcement were more likely to use sobriety checkpoints and saturation patrols, conduct enforcement of open container laws and train field officers in identifying driving impairment (p < 0.05). They were also more likely to have an officer assigned primarily to alcohol enforcement, have an alcohol division, and serve jurisdictions that had fewer Black residents (p < 0.05). CONCLUSIONS: Many law enforcement agencies utilize strategies to address alcohol-impaired driving, however, some strategies are underutilized and an opportunity exists for agencies to incorporate additional strategies to help prevent alcohol-impaired driving. Agencies that made alcohol-impaired driving enforcement a priority were more likely to conduct related enforcement strategies. Encouraging police and sheriff agencies to prioritize alcohol-impaired driving enforcement may be an effective approach for preventing alcohol-related harms.

Determining a dosage threshold of drink-driving enforcement operations: A systematic review.

ISSUES: Policy enforcement is crucial to achieve impacts on alcohol-related harm. It is not clear what level of enforcement intensity or 'dosage' is necessary for addressing drink driving and related harms. Given competing enforcement demands and agencies' resource constraints, understanding how much enforcement is sufficient to deter drink driving is critical. APPROACH: This systematic literature review followed Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) guidelines to examine research about dosage effects of enforcement and related visibility on drink-driving outcomes, including motor vehicle crashes and fatalities. Risk of bias was assessed using the Cochrane Collaboration Effective Practice and Organization of Care tool and the JBI checklist. KEY FINDINGS: The 21 studies that met the inclusion criteria for this review differed in measures of enforcement dosage and outcomes, making it difficult to synthesise results across studies and draw conclusions about a threshold or optimal level of enforcement. Although most included studies found that sustained enforcement was associated with reductions in drink driving or related harms, only two studies tested an optimal dosage. Due to study design limitations, a substantial percentage of these studies must be considered with caution. IMPLICATIONS: Additional research with rigorous study designs with appropriate controls is needed to determine an optimal high visibility enforcement dosage level to help law enforcement agencies make realistic decisions about allocating enforcement resources to address drink driving. CONCLUSION: Consistent evidence about a drink-driving enforcement dosage threshold is lacking, partly due to an insufficient number of well-designed studies. Addressing challenges of conducting rigorous studies in community settings is crucial.

Modeling the temporal relationship between contributing factors and injury severities in rural single-vehicle alcohol-impaired driving crashes: Insights from random parameters logit models in the means and variances.

OBJECTIVES: Alcohol-impaired driving (A-ID) crashes have been acknowledged as fatality-concentrated while there is a limited understanding of how contributors relating to A-ID influence crash severity and lead to more severe injuries in rural areas. The current paper utilized North Carolina crash data to investigate the unobserved heterogeneity and temporal stability of the rural single-vehicle A-ID crash injury-severity determinants over a five-year period from 2014-2018. METHODS: Crash injury severities were estimated using a group of random parameters logit models in the means and variances with three categories of injury-severity determined as outcome variables including no injury, minor injury, and severe injury. Explanatory variables were selected across multiple factors that could be classified as roadway characteristics, environmental characteristics, crash characteristics, temporal characteristics, vehicle characteristics and driver characteristics. The temporal stability of the models was examined through a series of likelihood ratio tests. Marginal effects were also adopted to analyze the temporal stability of the explanatory variables. RESULTS: The result uncovers an overall temporal instability. Some contributors present relatively temporal stability such as female, turning, passenger car, motorcycle, vehicle age (5-9 years old), speed limit (<45 mph), curved segment, dry road surface, animal collision and overturned collision. Curved segment and dry road surface are found to consistently increase the possibility of severe injuries in rural alcohol-involved crashes. CONCLUSIONS: This paper can provide insights into preventing single-vehicle A-ID crashes and could potentially facilitate the development of single-vehicle A-ID crash injury mitigation policies in rural areas. More studies could be conducted adopting the advanced data-driven methods for A-ID crash prediction.

Evaluating 24/7 Sobriety Program participant reoffense risk.

OBJECTIVE: Our study investigated risk factors in survival among a subpopulation of drivers in North Dakota's 24/7 Sobriety Program. Participants mandated for a second driving-under-the-influence of alcohol (DUI) arrest were studied for a three-year interval that commenced with the start date for a 360-day enrollment. METHOD: A Stratified Cox regression model was developed to compute the hazard ratios for survival. A subsequent DUI-related offense as event of interest. Relation to the explanatory variable array that could be construed from administrative records were investigated. RESULTS: Older drivers were 6.31 times more likely to reoffend than the younger driver cohort of 18-35-years. The survival curve slope showed the fastest decline in the 361-day to 730-day interval. Neither gender nor residence region was a significant predictor in DUI reoffense over the three-year monitoring interval. Preliminary work suggests reoffense was more likely if an individual had program history prior to this court mandated 360-day term in the 24/7 Sobriety Program for a second DUI. The program experience finding was unexpected but could not be studied in greater detail due to data and resource limitations. CONCLUSIONS: Administrative records access created a novel opportunity to explore an evolving impaired driving prevention strategy that has shown early promise. Individual driver survival in and after the 24/7 Sobriety Program was studied for three-years. Findings show age, post-program time interval, and possibly program history as areas to explore to improve survival rates. Driver DUI offense were most common shortly after program completion. Although limited to a single state, findings increase knowledge for refining strategies designed to impact driver subpopulations at higher risk for reoffense.

The impact of COVID-19 on road safety in Canada and the United States.

The COVID-19 pandemic has led to the implementation of unprecedented public health measures. The effect of these lockdown measures on road safety remain to be fully understood, however preliminary data shows reductions in traffic volume and increases in risky driving behaviors. The objective of the present study is to compare self-reported risky driving behaviors (speeding, distracted driving, drinking and driving, and drugged driving) during the pandemic in Canada and the U.S. to determine what differences exist between these two countries. Data was collected using the Road Safety Monitor (RSM), an annual online public opinion survey that investigates key road safety issues, administered to a representative sample of N = 1,500 Canadian drivers and N = 1,501 U.S. drivers. Respondents were asked about the likelihood of engaging in risky driving during the pandemic as compared to before COVID-19. Results show the majority of respondents indicated their behavior did not change, and most positively, a small proportion reported they were less likely to engage in these risky driving behaviors. However, notable proportions indicated they were more likely to engage in risky driving behaviors during the pandemic, as compared to before COVID-19. Of those who indicated this, U.S. drivers had significantly higher percentages compared to their Canadian counterparts. Behaviors most often reported by this sub-section of drivers who admit to being more likely to engage in risky driving during the pandemic were speeding (7.6%) and drinking and driving (7.6%) in the U.S., and speeding (5.5%) and distracted driving (4.2%) in Canada. Logistic regression results confirm that country was a significant factor, as U.S. drivers had greater odds of reporting they were more likely to engage in these risky driving behaviors, with the exception of speeding. Age also had a significant effect, as increasing age was associated with lower odds of reporting that these risky driving behaviors were more likely during the pandemic. Conversely, sex did not have a significant effect. Overall, the current findings suggest that a small proportion of drivers reported being more likely to engage in risky driving behaviors and the pandemic may have led to changes in the profiles of those drivers engaging in risky driving behaviors during lockdown measures. These results have important implications for policies and can inform how to manage road safety during future lockdowns.

Ethnicity, Immigration Status, And Driving Under The Influence Of Alcohol.

BACKGROUND: Understanding risk factors for driving under the influence of alcohol (DUIA) informs development of effective interventions. This study examined the association between ethnicity, immigration status, and DUIA, exploring psychological distress and hazardous drinking as additional contributors. METHOD: Data were derived from the 2003-2011 cycles of the Centre for Addiction and Mental Health (CAMH) Monitor of 16,101 adults from Ontario, Canada. Hierarchical binary logistic regression analysis assessed self-identified ethnicity and immigration status as predictors of DUIA, adjusting for sociodemographics and driving exposure (Model 1), psychological distress (Model 2), and hazardous drinking (Model 3). RESULTS: In Model 1, respondents born outside of Canada had reduced odds of engaging in DUIA compared to those born in Canada (AOR = 0.72, 95%CI = 0.56 - 0.92). Relative to those identifying as Canadian, the odds of DUIA were significantly reduced for those identifying as East Asian (AOR = 0.28, 95%CI = 0.13 - 0.61) and South Asian (AOR = 0.52, 95%CI = 0.27 - 0.98). In Model 3, individuals who reported psychological distress (AOR = 1.69, 95%CI = 1.33 - 2.16) and those who reported hazardous drinking (AOR = 6.28, 95%CI= 5.13 - 7.69) were more likely to DUIA. Those identifying as East Asian continued to have reduced odds of DUIA compared to those identifying as Canadian (AOR = 0.38, 95%CI = 0.17 - 0.85). CONCLUSION: Individuals born outside of Canada were less likely to engage in DUIA than individuals born in Canada. Drivers who self-identified as East Asian were less likely to DUIA than those who self-identified as Canadian. Understanding ethnic differences underlying divergent risks for DUIA will improve prevention initiatives and remedial measures programming.

Does geographic location matter for transportation risk behaviors among U.S. public high school students?

Introduction: Teen motor vehicle crash fatality rates differ by geographic location. Studies assessing teen transportation risk behaviors by location are inconclusive. Therefore, we explored the role of census region and metropolitan status for driving prevalence and four transportation risk behaviors among U.S. public high school students. Methods: Data from 2015 and 2017 national Youth Risk Behavior Surveys were combined and analyzed. Multivariable models controlled for sex, age, race/ethnicity, grades in school, and school socioeconomic status. Results: Overall, 41% of students did not always wear a seat belt. Students attending schools in the Northeast were 40% more likely than those in the Midwest to not always wear a seat belt. Among the 75% of students aged ≥16 years who had driven during the past 30 days, 47% texted/e-mailed while driving. Students in the Northeast were 20% less likely than those in the Midwest to text/e-mail while driving, and students attending suburban or town schools were more likely to text/e-mail while driving (20% and 30%, respectively) than students attending urban schools. Nineteen percent of students rode with a driver who had been drinking alcohol, and 7% of drivers aged ≥16 years drove when they had been drinking alcohol, with no significant differences by location for either alcohol-related behavior. Conclusions: We found few differences in teen transportation risk behaviors by census region or metropolitan status. Age at licensure, time since licensure, driving experience, and the policy and physical driving environment might contribute more to variation in teen fatal crashes by location than differences in transportation risk behaviors. Regardless of location, teen transportation risk behaviors remain high. Future research could address developing effective strategies to reduce teen cell phone use while driving and enhancing community implementation of existing, effective strategies to improve seat belt use and reduce alcohol consumption and driving after drinking alcohol.

Strategies for accelerating the implementation of non-intrusive alcohol detection systems in the vehicle fleet.

INTRODUCTION: Crashes involving drinking drivers represent as much as one-third of all fatal crashes around the world. Progress has been made in reducing this toll through a series of interventions that attempt to discourage driving while intoxicated (DWI) and reoffending among drivers who have been convicted of DWI. However, these approaches cannot eliminate the problem. In-vehicle technologies are being developed, such as the Driver Alcohol Detection System for Safety-commonly referred to as DADSS-that have the potential to prevent alcohol-impaired drivers from driving their vehicles. DADSS in-vehicle sensors are designed to quickly detect whether drivers have been drinking and accurately and precisely measure blood or breath alcohol concentration. If the driver's alcohol concentration measures at or above a set limit, the vehicle will be prevented from moving. METHOD: The DADSS technology is expected to be ready for real-world applications in the next few years. The implementation of this technology in vehicles promises to prevent thousands of deaths and injuries every year. This paper investigates approaches that have been used in various countries to accelerate the deployment of innovative vehicle safety technologies beginning with its initial implementation in vehicles through to its more widespread use. RESULTS: Various approaches were identified that can smooth and accelerate the deployment of in-vehicle alcohol detection devices. Recommendations are made regarding the most promising approaches to use initially and over time, as the body of evidence regarding their effectiveness grows. CONCLUSIONS: This paper provides guidelines for how best to stimulate the widespread adoption of in-vehicle alcohol-detection technology as a preventive measure so that its life-saving potential can be realized both in the United States and in other countries that may be open to the implementation of DADSS.

Applying Bayesian cognitive models to decisions to drive after drinking.

BACKGROUND AND AIMS: Despite widespread negative perceptions, the prevalence of alcohol-impaired driving (AID) in the United States remains unacceptably high. This study used a novel decision task to evaluate whether individuals considered both ride service cost and alcohol consumption level when deciding whether or not to drive, and whether the resulting strategy was associated with engagement in AID. DESIGN: A two-sample study, where sample 1 developed a novel AID decision task to classify participants by decision strategy. Sample 2 was used to cross-validate the task and examine whether decision strategy classifications were predictive of prior reported AID behavior. SETTING: A laboratory setting at the University of Missouri, USA. PARTICIPANTS: Sample 1 included 38 student participants from introductory psychology classes at the University of Missouri. Sample 2 included 67 young adult participants recruited from the local community. MEASUREMENTS: We developed a decision task that presented hypothetical drinking scenarios that varied in quantity of alcohol consumption (one to six drinks) and the cost of a ride service ($5-25). We applied a Bayesian computational model to classify choices as consistent with either: integrating both ride cost and consumption level (compensatory) or considering only consumption level (non-compensatory) when making hypothetical AID decisions. In sample 2, we assessed established AID risk factors (sex, recent alcohol consumption, perceived safe limit) and recent (past 3 months) engagement in AID. FINDINGS: In sample 1, the majority of participants were classified as using decision strategies consistent with either a compensatory or non-compensatory process. Results from sample 2 replicated the overall classification rate and demonstrated that participants who used a compensatory strategy were more likely to report recent AID, even after accounting for study covariates. CONCLUSIONS: In a hypothetical alcohol-impaired driving (AID) decision task, individuals who considered both consumption level and ride service cost were more likely to report recent AID than those who made decisions based entirely on consumption level.

The effectiveness of alternative transportation programs in reducing impaired driving: A literature review and synthesis.

INTRODUCTION: Studies have shown that approximately half of arrested intoxicated drivers had their last alcoholic drink at a licensed bar or restaurant. Current efforts to prevent intoxicated patrons from leaving licensed establishments and driving home have been only partially successful. Since a high proportion of drinkers drive to their drinking destination, promoting the use of alternative transportation (AT) - including safe ride shuttles, free or subsidized taxi and ridesharing services, voluntary or paid designated driver programs, and more accessible public transportation - is an important strategy for preventing impaired driving. The primary goal of this study was to review and synthesize the findings of research studies designed to test the effectiveness of AT programs in reducing alcohol-impaired driving. A secondary goal was to report if using AT has led to any unintended consequences, in particular greater alcohol consumption. METHOD: We identified relevant academic articles, new articles, government reports, and other documents (English only) through the University of Chicago library, Google Scholar, and Google Search. We also included published articles recommended by peers. Key search terms included: alternative transportation; safe rides; designated driver; alcohol-impaired driving; alcohol consumption, cost effectiveness; and reduce drunk driving. Initially, we identified 168 potentially relevant sources, of which only 57 were academic articles. After a thorough review, we narrowed down the number of relevant articles to 125 including some background articles and government reports. RESULTS: Some AT programs produced reductions in one or more of the following outcomes: (1) impaired driving; (2) impaired driving crashes; (3) driving under the influence (DUI) arrests; and (4) traffic crashes in general, but others were not shown to be effective. A few programs resulted in greater self-reported alcohol use, but there were no significant findings indicating that drinking when using AT led to an increase in alcohol-related harms such as public intoxication, assaults, or other alcohol-related crime. Of the studies that conducted a cost-benefit analysis, most showed that AT programs yielded a positive benefit, but these studies did not include a sufficient number of variables to be considered true cost-benefit analyses. CONCLUSIONS: There is mixed evidence regarding the effectiveness of AT programs. Evaluations with more rigorous quasi-experimental and experimental designs are needed to identify which types of AT programs work best for different types of communities and target groups. Practical Applications: The literature review and synthesis revealed that the most successful AT programs typically have some of these attributes: (1) social acceptance; (2) high level of public awareness; (3) low cost; (4) year-round availability; (5) provide rides to and from drinking venues; (6) several sponsors that provide funding); (7) user convenience; and (8) perceived safety.

U.S. alcohol associated traffic injuries and fatalities from 2014 to 2018.

BACKGROUND: Alcohol-impaired motor vehicle collision (MVC) fatalities comprise almost a third of total crash fatalities in the United States (U.S.). They also impose 20% of the total costs of MVCs annually. This study aims to evaluate an association between blood alcohol concentration (BAC) and number of crash injuries and fatalities from 2014 to 2018 in the U.S. Additionally, we aim to recommend solutions to reduce alcohol-impaired driving related injuries and fatalities. METHODS: A retrospective analysis of National Highway Traffic Safety Administration (NHTSA) data of crash injuries, fatalities, and BAC levels (0.00 g/dl, 0.01-0.07 g/dl, and ≥ 0.08 g/dl) from 2014 through 2018. Descriptive statistical analysis and independent sample t-tests were conducted, with significance defined as p < .05. RESULTS: Compared to BAC 0.01-0.07 g/dl,BAC ≥0.08 g/dl resulted in significantly more injuries (6779 vs. 1357, p < .001) and fatalities (10,522 vs. 1894, p < .001). CONCLUSION: BAC level ≥ 0.08 g/dl produced significantly greater injuries and fatalities in comparison to lower BAC levels evaluated. Given the effects of alcohol-impaired driving on MVCs, the legal BAC level should be re-evaluated to protect citizens and reduce incidence of alcohol related traffic injuries and fatalities. Educational programs promoting responsible alcohol consumption need to be in place for individuals at high risk for driving under the influence.

Approaches for reducing alcohol-impaired driving: Evidence-based legislation, law enforcement strategies, sanctions, and alcohol-control policies.

Reducing impaired driving requires a systematic, consistent, and multifaceted approach. There is strong evidence on the effectiveness of both direct and indirect measures. The strategy that has the most immediate and largest impact has been highly publicized, visible, and frequent impaired-driving enforcement, especially deploying sobriety checkpoints or random breath testing. Lowering legal blood alcohol concentration (BAC) limits for driving to 0.05 g/dL or lower has also had a world-wide impact. Raising the legal drinking age has been successful in the US and other countries in reducing young impaired-driver fatal crashes. Graduated drivers' licensing for youth has also been effective by restricting conditions under which youth can drive. Sanctions that reduce impaired-driving recidivism include special driving-under-the-influence (DUI)/driving-while-intoxicated (DWI) courts, mandatory alcohol ignition interlocks, and consistent alcohol-monitoring programs. Opportunities for further progress include better enforcement of the drinking age and refusing to serve obviously intoxicated patrons. Technology for detecting alcohol impairment and autonomous vehicles will also play an important role in future efforts to eliminate impaired driving.

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.

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.

Drinking and driving among adults in the United States: Results from the 2012-2013 national epidemiologic survey on alcohol and related conditions-III.

Despite the seriousness of alcohol-impaired driving (A-ID) very few national surveys on reported A-ID have been conducted since the early 2000s. This study examined 12-month prevalences of driver-based A-ID and passenger-based alcohol-related practices in a large representative sample of the U.S. population. Twelve-month prevalences of drinking while driving and driving after drinking too much were 5.7% and 3.9%, respectively. Corresponding prevalences of having an accident while intoxicated and having an accident with an injury while intoxicated were 0.6% and 0.2%, respectively. Twelve-month prevalences of riding as a passenger with a drinking driver and riding as a passenger while drinking were 7.0% and 10.7%, respectively. In general, sociodemographic characteristics of individuals more vulnerable to all of these A-ID practices were similar: men, Whites, Blacks and Native Americans, younger and middle-aged adults, upper socioeconomic status, being never or previously married, and residing in the Midwest. Results of this study underscore the importance of assessing driver-based A-ID and passenger-based alcohol-related practices and the need to target prevention and intervention programs to reduce these practices among those subgroups of the U.S. population most vulnerable to them.