Factors related to the low-risk perception of driving after cannabis use.

INTRODUCTION: Modifying risk perceptions related to driving after cannabis use (DACU) could deter individuals from enacting this behavior, as low-risk perception is associated with DACU engagement. This study identified sociodemographic characteristics, substance use, other driving behaviors, peer norms, and psychological characteristics that are associated with lower risk perception regarding DACU. METHODS: Canadian drivers aged 17-35 who have used cannabis in the past year (n = 1,467) completed an online questionnaire. A multivariate linear regression model allowed for identifying variables associated with the low-risk perception of DACU (i.e. believing it to be safe as one's driving ability is not impaired by cannabis or by being high). RESULTS: Lower risk perception of DACU was associated with identifying as male, weekly to daily cannabis use, engagement in DACU, general risky driving behaviors, being a passenger of a driver who engages in DACU, number of friends who engage in DACU, and peer approval of DACU. Having driven under the influence of alcohol, living in urban areas, having received traffic tickets in the past three years, and declaring past-week irritability and cognitive problems were associated with holding a higher risk perception related to DACU. DISCUSSION: Road education and prevention programs should target attitudes and perceptions regarding risks shaped by sociocultural norms and past risky driving experiences. They need to reach out more specifically to drivers with the identified characteristics associated with the low-risk perception of DACU. These interventions can potentially help reduce the rate of individuals who engage in this behavior.

Do tougher drinking policies affect men's smoking behavior - Evidence from China.

In 2011, China implemented tougher driving-under-the-influence laws, which criminalized driving under the influence of alcohol for the first time and increased penalties. This paper provides the first comprehensive analysis of the effects of stricter drinking policies on men's smoking behavior by using data from the 2010 and 2012 waves of the China Family Panel Studies. The results show that stricter drinking policies reduced smoking initiation and the number of cigarettes smoked per day among men by reducing the frequency and quantity of alcohol consumption. Heterogeneity analyses show that the impact of the policy is more pronounced not only for men aged 41-55, but also for men who have higher educational qualifications, who are employed, or who are not members of the Communist Party.

Off-road vehicle crashes: dangers of alcohol and drug impairment.

BACKGROUND: Impaired driving is a public health issue, yet little is known concerning the prevalence of substance use in drivers involved in off-road vehicle crashes. The goal of the present study was to describe the demographics and prevalence of alcohol and drug use in drivers of off-road vehicle crashes. METHODS: In this observational substudy, we collected clinical and toxicological data on all moderately or severely injured off-road vehicle drivers who had blood samples obtained within 6 h of the crash. Clinical data were extracted from patients' medical charts and toxicology analyses were performed for blood alcohol, cannabinoids, recreational drugs, and impairing medications. RESULTS: Thirty-three injured drivers met the inclusion criteria. The mean age was 37.6 ± 13.4 years and 79% were male. Blood alcohol was detected in 58% of drivers and 42% of these were above the legal limit. Tetrahydrocannabinol was positive in 12% of drivers, and 18% were positive for recreational drugs. Opiates were detected in 21% of drivers. Overall, 85% were positive for at least one substance and 39% tested positive for multiple substances. CONCLUSION: This study presents the first evidence of alcohol and drug use in off-road vehicle drivers after cannabis legalization in Canada. Our results show that over half of drivers in off-road vehicle crashes test positive for alcohol and 30% tested positive for THC, cocaine, or amphetamines. Opiates are also commonly detected in off-road vehicle drivers. Emergency department (ED) visits resulting from drug driving of off-road vehicles serve as an opportunity for screening, initiating treatment, and connecting patients to interventions for substance use disorders.

ABSTRAIT: CONTEXTE: La conduite avec facultés affaiblies est un problème de santé publique, mais on sait peu de choses sur la prévalence de la toxicomanie chez les conducteurs impliqués dans des accidents de la route. L'objectif de la présente étude était de décrire la démographie et la prévalence de la consommation d'alcool et de drogues chez les conducteurs de véhicules hors route. MéTHODES: Dans le cadre de cette sous-étude observationnelle, nous avons recueilli des données cliniques et toxicologiques sur tous les conducteurs de véhicules hors route ayant subi des blessures modérées ou graves qui avaient reçu des échantillons de sang dans les 6 heures suivant l'accident. Les données cliniques ont été extraites des dossiers médicaux des patients et des analyses toxicologiques ont été effectuées pour l'alcool dans le sang, les cannabinoïdes, les drogues récréatives et les médicaments pour les facultés affaiblies. RéSULTATS: Trente-trois conducteurs blessés répondaient aux critères d'inclusion. L'âge moyen était de 37,6 13,4 ans et 79 % étaient des hommes. L'alcool dans le sang a été détecté chez 58 % des conducteurs et 42 % d'entre eux dépassaient la limite légale. Le tétrahydrocannabinol était positif chez 12 % des conducteurs et 18 % étaient positifs aux drogues récréatives. Des opiacés ont été détectés chez 21 % des conducteurs. Dans l'ensemble, 85 % étaient positifs pour au moins une substance et 39 % étaient positifs pour plusieurs substances. CONCLUSION: Cette étude présente les premières preuves de la consommation d'alcool et de drogues chez les conducteurs de véhicules hors route après la légalisation du cannabis au Canada. Nos résultats montrent que plus de la moitié des conducteurs de véhicules hors route ont un résultat positif au test de dépistage de l'alcool et 30 % ont un résultat positif au test de dépistage du THC, de la cocaïne ou des amphétamines. Les opiacés sont également couramment détectés chez les conducteurs de véhicules hors route. Les visites aux services d'urgence (SU) découlant de la conduite de véhicules hors route avec facultés affaiblies par la drogue constituent une occasion de dépistage, d'amorcer un traitement et de mettre les patients en contact avec des interventions pour les troubles liés à la consommation de substances.

How do drunk-driving events escalate into drunk-driving crashes? An empirical analysis of Beijing from a spatiotemporal perspective.

Drunk-driving events often escalate into drunk-driving crashes, however, the contributing factors of this progression remain elusive. To mitigate the likelihood of crashes stemming from drunk-driving events, this paper introduces the notion of 'the severity of drunk-driving event' and examines the complex relationship between the severity and its contributing factors, considering spatiotemporal heterogeneity. The study utilizes a Geographically and Temporally Weighted Binary Logistic Regression (GTWBLR) model to conduct spatiotemporal analysis based on police-reported drunk-driving events in Beijing, China. The results show that most factors passed the non-stationary test, indicating their effects on the severity of drunk-driving event vary significantly across different spatial and temporal domains. Notably, during non-workday, drunk-driving events in northeast of Beijing are more likely to escalate into crashes. Furthermore, severe weather during winter in the northwest of Beijing is associated with high risk of drunk-driving crashes. Based on these insights, the authorities can strengthen drunk-driving checks in the northeast region of Beijing, particularly during non-workdays. And it is crucial to promptly clear accumulated snow on the roads during severe winter weather to improve road safety. These insights and recommendations are highly valuable for reducing the risk of drunk-driving crashes.

Sales to Apparently Intoxicated Customers in Three States With Different Histories of Responsible Beverage Service Training.

OBJECTIVE: Most states prohibit sales of alcohol to customers who are apparently intoxicated, and many require training in responsible beverage service (RBS), with the aim of reducing driving while intoxicated (DWI) and other harms. Sales to apparently intoxicated patrons were assessed in onsite alcohol sales establishments and compared across three states. METHOD: A sample of 180 licensed onsite alcohol establishments was selected in California (n = 60), New Mexico (n = 60), and Washington State (n = 60). States had different RBS training histories, content, and procedures. Research confederates, trained to feign cues of intoxication, visited each establishment twice. The pseudo-intoxicated patron (PP) ordered an alcoholic beverage while displaying intoxication cues. Sale of alcohol was the primary outcome. RESULTS: At 179 establishments assessed, PPs were served alcohol during 56.5% of 356 visits (35.6% of establishments served and 22.6% did not serve at both visits). Alcohol sales were less frequent in New Mexico (47.9% of visits; odds ratio [OR] = 0.374, p = .008) and Washington State (49.6%; OR = 0.387, p = .012) than in California (72.0%). Servers less consistently refused service at both visits (6.8%) in California than New Mexico (33.9%) or Washington (27.1%), χ2(4, n = 177) = 16.72, p = .002. Alcohol sales were higher when intoxication cues were less obvious (p < .001). CONCLUSIONS: Overservice of alcohol to apparently intoxicated customers was frequent and likely elevated risk of DWI and other harms. The lower sales in New Mexico and Washington than California may show that a policy approach prohibiting sales to intoxicated customers combined with well-established RBS training can reduce overservice. Further efforts are needed to reduce overservice.

Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021.

INTRODUCTION: There are many migrant workers in China's first-tier cities, but little is known about road safety. This paper systematically analysed road traffic injuries and risk factors among migrant workers in Guangzhou, China. METHODS: Road traffic crash data from 2017 to 2021 were obtained from the Guangzhou Public Security Traffic Management Integrated System. We plotted the crash network of road users in road traffic crashes and used logistic regression to analyse the risk factors for migrant workers of motorcycle and four-wheeled vehicle crashes. Moreover, the roles of migrant workers and control individuals as perpetrators in road traffic crashes were also analysed. RESULTS: Between 2017 and 2021, 76% of road traffic injuries were migrant workers in Guangzhou. Migrant workers who were motorcyclist drivers most commonly experienced road traffic injuries. Crashes between motorcyclists and car occupants were the most common. The illegal behaviours of migrant worker motorcyclists were closely related to casualties, with driving without a licence only and driving without a licence and drunk driving accounting for the greatest number. Migrant workers were responsible for many injuries of other road users. Motorcycle drivers have a higher proportion of drunk driving. DISCUSSION: Migrant workers play an important role in road traffic safety. They were both the leading source of road traffic injuries and the main perpetrators of road traffic crashes. Measures such as strict requirements for migrant workers to drive motorcycles with licences, prohibit drunk driving, greater publicity of road safety regulations, and combining compulsory education with punishment for illegal behaviours.

Hazardous alcohol use and alcohol-related harm in rural and remote communities: a scoping review.

Alcohol use is a major risk factor for death and disease worldwide and alcohol-related harms appear to be more prevalent in rural and remote, relative to urban, communities. This Review synthesised international research on rural-urban disparities in hazardous and harmful alcohol use and risk factors for these outcomes within rural and remote communities. 280 studies from 49 countries were included in the Scoping Review. Most studies (60%) found rural, relative to urban, residence to be associated with an increased likelihood of hazardous alcohol use or alcohol-related harm. This proportion increased between 1990 and 2019 and varied by country, age group, and outcome type, being highest in Australia, among young adults, and for more severe alcohol-related harms, such as drink driving and alcohol-related suicide. Improved public health strategies to reduce the burden of alcohol use in rural communities are required but their efficacy will depend on how well they are tailored to the unique needs of the region they are implemented in.

Global estimates of the attributable risk of alcohol consumption on road injuries.

BACKGROUND: Alcohol consumption is one of the main risk factors for death by road injuries, but little is known about the global distribution of the population-attributable risk (PAR) of alcohol use for death by road injuries. METHODS: We used publicly available data from the 2019 Global Burden of Disease Study (GBD) to estimate the PAR of alcohol use for 5 types of road injury, globally and individually for available countries, by socio-demographic index (SDI), and by age, sex, and year from 1990 to 2019. RESULTS: 6.6% of all road injuries in 2019 were attributable to alcohol consumption, with large variations worldwide; the highest burden was in Europe and among countries classified in the high-middle SDI. PAR was higher in men than in women, and among younger individuals. Important variations in PAR of alcohol were also observed by road injury type, with motorcyclist road injuries having the highest PAR. Overall, PAR showed a small increase during 1990-2019; younger (<39 years old) men showed an increasing trend during this period, while older women had a decreasing trend in PAR. CONCLUSIONS: PAR for alcohol and road injuries is not homogenous. Large PAR for alcohol and road deaths was found in Europe, among men, young adults, and motorcyclists. These results could help public health agencies, law enforcement, and the public guide efforts to reduce these deaths.

Trends in Cannabis Involvement and Risk of Alcohol Involvement in Motor Vehicle Crash Fatalities in the United States, 2000‒2018.

Objectives. To assess cannabis and alcohol involvement among motor vehicle crash (MVC) fatalities in the United States. Methods. In this repeated cross-sectional analysis, we used data from the Fatality Analysis Reporting System from 2000 to 2018. Fatalities were cannabis-involved if an involved driver tested positive for a cannabinoid and alcohol-involved based on the highest blood alcohol concentration (BAC) of an involved driver. Multinomial mixed-effects logistic regression models assessed cannabis as a risk factor for alcohol by BAC level. Results. While trends in fatalities involving alcohol have remained stable, the percentage of fatalities involving cannabis and cannabis and alcohol increased from 9.0% in 2000 to 21.5% in 2018, and 4.8% in 2000 to 10.3% in 2018, respectively. In adjusted analyses, fatalities involving cannabis had 1.56 (95% confidence interval [CI] = 1.48, 1.65), 1.62 (95% CI = 1.52, 1.72), and 1.46 (95% CI = 1.42, 1.50) times the odds of involving BACs of 0.01% to 0.049%, 0.05% to 0.079%, and 0.08% or higher, respectively. Conclusions. The percentage of fatalities involving cannabis and coinvolving cannabis and alcohol doubled from 2000 to 2018, and cannabis was associated with alcohol coinvolvement. Further research is warranted to understand cannabis- and alcohol-involved MVC fatalities. (Am J Public Health. 2021;111(11):1976-1985. https://doi.org/10.2105/AJPH.2021.306466).

Identifying modifiable factors related to novice adolescent driver fault in motor vehicle collisions.

OBJECTIVE: Novice adolescent drivers have a higher propensity to engage in risky driving and are at higher odds of being involved in collisions. Graduated driver licensing programs have been instituted to help novice drivers gain experience while avoiding higher risk driving circumstances. This study examines modifiable risk factors contributing to novice adolescent driver fault in collisions. METHODS: Police traffic collision report data from municipalities in Alberta for the years 2010-2016, inclusive, were used. Fault in collision was assigned using an automated and previously validated tool for assigning culpability. Factors contributing to novice adolescent (16-19 years of age) fault in collision were examined using multivariable logistic regression. RESULTS: Novice adolescent drivers had higher adjusted odds ratios (aOR) of being at-fault in collision when driving from 01:00-05:00 (aOR = 1.38; 95% Confidence Interval [CI]: 1.26-1.50). Novice adolescent drivers had lower odds of fault when driving with an adult (aOR= 0.62; 95% CI: 0.57-0.68) or a single peer (aOR= 0.87; 95% CI: 0.80-0.94), but higher odds of causing a severe collision with a single peer present (aOR= 2.23; 95% CI: 1.21-4.11). Impairment of the teen driver was reported in 25% of all fatal collisions, and 40% of late-night fatal collisions. CONCLUSIONS: The findings support policies that allow driving with a single adult or peer passenger during daytime hours. Driving during late-night hours should be restricted for novice adolescent drivers.

Association of Rideshare Use With Alcohol-Associated Motor Vehicle Crash Trauma.

Importance: Motor vehicle crashes (MVCs) are an important public health concern. Recent trends suggest that introducing rideshare services has decreased the incidence of MVCs. However, detailed analyses linking rideshare volume, convictions for impaired driving, and nonfatal MVC traumas remain inconclusive. Objective: To determine if there is an association between rideshare use and MVC traumas and convictions for impaired driving in Houston, Texas. Design, Setting, and Participants: This multicenter cohort study was conducted between January 2007 and November 2019 with hospital data from the Red Duke Trauma Institute within the Memorial Hermann Hospital-Texas Medical Center and Ben Taub General Hospital. Rideshare data from Uber and Google covered trips taken within Houston, Texas, from February 2014 (the date of deployment of Uber to Houston) to December 2018. Impaired driving convictions included all indictments made by the Harris County, Texas, District Attorney's office from January 2007 to December 2018. All adults with MVC traumas evaluated at both centers in the study population (individuals >16 years with a mechanism of injury classified under "motor vehicle collision") were included. Impaired driving incidents were included only if the final legal outcome was conviction. Main Outcomes and Measures: The primary study outcomes were the incident rate ratios for hourly MVC traumas and daily impaired driving convictions. Results: A total of 23 491 MVC traumas (involving patients with a mean [SD] age of 37.9 [17.8] years and 14 603 male individuals [62.1%]), 93 742 impaired driving convictions, and more than 24 million Uber rides were analyzed. Following the introduction of Uber in February 2014, MVC traumas decreased by 23.8% (from a mean [SD] of 0.26 [0.04] to 0.21 [0.06] trauma incidents per hour) during peak trauma periods (Friday and Saturday nights). The incident rate ratio of MVC traumas following Uber deployment was 0.33 (95% CI, 0.17-0.67) per 1000 indexed rides (P = .002). Furthermore, rideshare use was associated with a significant, geographically linked reduction in impaired driving convictions between January 2014 to December 2019 (incidence rate ratio, 0.76 [95% CI, 0.73-0.78]; P < .001). Conclusions and Relevance: In this study, introducing rideshare services in the Houston metropolitan area was associated with significant reductions in MVC traumas and impaired driving convictions. Increased use of rideshares may be an effective means of reducing impaired driving and decreasing rate of MVC traumas.

Roadside surveys of drinking and driving in Cameroon.

OBJECTIVE: This study aimed to assess the prevalence of drinking and driving on roadways in urban areas and highways in Cameroon, and to determine the associations between drinking and driving and socio-demographic factors. METHODS: A cross-sectional study of motor vehicle drivers was performed on Fridays, Saturdays, and Sundays between May and September 2020 with three driver groups: (1) random motor vehicle drivers (including riders) on major highways, (2) drivers recruited at car stations in Yaoundé, and (3) at fuel stations in Douala. Alcohol was measured using breathalyzers, and a questionnaire collected socio-demographic data. RESULTS: In total, 2402 motor vehicle drivers were asked to participate in the study and 1701 (70.8%) gave informed consent. The vast majority (98.6%) were men. Drivers aged 30-39 years constituted the largest age group on highways and in Yaoundé, whereas 18-29 years was the largest age group in Douala. The highest prevalence of alcohol was observed among drivers in Yaoundé, which included mainly clandestine taxi car drivers and motorcycle taxi riders, where about 30% had blood alcohol concentrations (BAC) above the legal limit of 0.08%. The proportion with BACs above the legal limit was about 6% among the drivers in Douala, which included mainly motorcycle taxi riders, and about 4% among drivers on highways. CONCLUSIONS: The findings indicate that drinking and driving is a major traffic safety problem on Cameroonian public roads, especially among motorcycle taxi riders and clandestine taxi drivers in towns, which represent the major mass transportation means in the country. Drinking and driving education and legislation should be better developed and enforced in order to reduce the number road traffic crashes.

Analysis of drink-driving behavior: Considering the subjective and objective factors of drivers.

OBJECTIVE: Drink-driving is one of the key behavioral risk factors in road traffic safety. The main purposes of this study are the identification of the influence of drivers' subjective and objective factors on drink-driving behavior and the correlation between subjective and objective factors to design targeted measures for the prevention and control of drink-driving behavior. METHODS: To analysis the influence of the subjective and objective factors on the behavior of alcohol value simultaneously. A Bayesian structural equation model is conducted with the data collected via questionnaire issued on the Internet in China. RESULTS: The results using the Bayesian structural equation model reveals that the subjective factors (e.g., drivers' behavior intention and perceived behavioral control) and objective factors (e.g., age, gender, and driving years of drivers) significantly affect drink-driving behaviors. Drivers' behavior intention is the strongest predictor, and perceived behavioral control also has a significant influence on drink-driving. Drivers who are male, older, lower driving years, driving a motorcycle or car and noncommercial vehicle have a higher probability in drink-driving. The results also suggest that there is a certain correlation between the driver's subjective and objective factors. For instance, male drivers have a more positive attitude toward drink-driving behaviors, drivers over thirty years old more cling to the region's alcohol culture and feel less guilty about drink-driving than youngsters, and truck or bus drivers perceived more disapproval of drink-driving behavior from their significant others. CONCLUSIONS: A more nuanced understanding of the influence of drivers to drink-driving behavior can be found in these results. These results about the influence mechanism of subjective and objective factors on drink-driving behavior of this study have implications for governments and other interested bodies for better targeting and delivery of public education campaigns and interventions.

Does seeing it make a difference? The self-reported deterrent impact of random breath testing.

INTRODUCTION: Random Breath Testing (RBT) remains a primary method to both deter and apprehend drink drivers, yet a large proportion of road fatalities continue to be caused by the offense. Outstanding questions remain regarding how much exposure to RBT operations is needed to influence deterrence-based perceptions and subsequent offending. METHOD: Given this, licensed motorists (N = 961) in Queensland were recruited to complete a questionnaire either in the community (N = 741) or on the side of the road after just being breath tested (N = 243). Survey items measured different types of exposure to RBT operations (e.g., "seen" vs. "being tested") and subsequent perceptions of apprehension as well as self-reported drink driving behaviors. RESULTS: The key findings that emerged were: motorists were regularly exposed to RBT operations (both viewing and being tested), such exposure was not significantly correlated with perceptions of apprehension certainty, and a sizable proportion reported engaging in drink driving behaviors (e.g., approx. 25%), although roadside participants naturally reported a lower percentage of offending behaviors. Importantly, it was revealed that current "observations" of RBT was sufficient, but not actual levels of active testing (which needed to be doubled). Nevertheless, higher levels of exposure to RBT operations was found to be predictive of a lack of intention to drink and drive again in the future. CONCLUSIONS: This paper suggests that mere exposure to enforcement may not create the intended rule compliance, and that the frequency of exposure is also essential for the roadside.

Associating ridesourcing with road safety outcomes: Insights from Austin, Texas.

Improving road safety and setting targets for reducing traffic-related crashes and deaths are highlighted as part of the United Nations sustainable development goals and worldwide vision zero efforts. The advent of transportation network companies and ridesourcing expands mobility options in cities and may impact road safety outcomes. We analyze the effects of ridesourcing use on road crashes, injuries, fatalities, and driving while intoxicated (DWI) offenses in Travis County, Texas. Our approach leverages real-time ridesourcing volume to explain variation in road safety outcomes. Spatial panel data models with fixed-effects are deployed to examine whether the use of ridesourcing is significantly associated with road crashes and other safety metrics. Our results suggest that for a 10% increase in ridesourcing trips, we expect a 0.12% decrease in road crashes, a 0.25% decrease in road injuries, and a 0.36% decrease in DWI offenses in Travis County. On the other hand, ridesourcing use is not significantly associated with road fatalities. This study augments existing work because it moves beyond binary indicators of ridesourcing availability and analyzes crash and ridesourcing trips patterns within an urbanized area rather than their metropolitan-level variation. Contributions include developing a data-rich approach for assessing the impacts of ridesourcing use on the transportation system's safety, which may serve as a template for future analyses for other cities. Our findings provide feedback to policymakers by clarifying associations between ridesourcing use and traffic safety and uncover the potential to achieve safer mobility systems with transportation network companies.

Timing of mortality in mothers with recurrent convictions for driving under the influence of alcohol and their children, from childbirth to child age 17.

BACKGROUND: We tested variation in the timing of child and maternal mortality associated with severe maternal AUD, as represented by recurrent arrests for driving under the influence of alcohol (rDUI). METHODS: rDUI mothers (N = 1614) and Controls with no alcohol-related driving offenses (N = 109,928) who gave birth in Missouri from 2000 to 2004 were identified using vital records. Propensity score matching adjusted for birth record measures including delayed prenatal care, smoking during pregnancy, relationship with reproductive partner [married/unmarried, paternity acknowledged/unacknowledged], partner DUI status from driving records, and for socioeconomic characteristics of maternal residential census tract at birth derived from census data. Survival analysis was used to test months from childbirth to child or maternal death as a function of lifetime rDUI status. RESULTS: Maternal rDUIs were associated with a consistently elevated probability of child mortality from birth through child age 17 after propensity score-adjustment (Hazard Ratio [HR] = 1.70, 95 % CI = 1.17-2.47). Maternal mortality was not elevated, relative to Controls, until child age 6-11 (HR = 1.58, 95 % CI = 1.05-2.35) and increased again from child age 12-17 (HR = 4.12, 95 % CI = 3.04-5.86). CONCLUSIONS: Severe maternal AUD, as characterized by rDUI, increases the risk for child mortality over that of Controls through age 17. Delays in rDUI maternal mortality until child age 6 may indicate a period when maternal referral for intervention to reduce harm to child and mother is likely to be especially effective.

Driving under the influence of drugs or alcohol: Predicting the intentions of young drivers.

Objectives: Driving under the influence (DUI) of drugs or alcohol impairs driving performance and, as a result, increases the risk of crashes. The risk of DUI is five-fold higher for young drivers (aged 18-25 years), but little is known about what determines their DUI intentions. This study applied an extended model of the Theory of Planned Behavior (TPB) to address the research question of what factors might influence young drivers' future intentions to DUI. Methods: This study used a survey obtaining data from 329 young drivers (Mage = 20.92 years, SD = 2.16) in Australia. Beyond the standard TPB measures of attitudes, subjective norms and perceived behavioral control (PBC), the current study included demographic variables and additional predictors (i.e., moral norm, peers' norm, perceived risk, impulsivity and past DUI behavior). Results: A vast majority of the participants (85.1%) selected the maximum (9, never), meaning that they had no intention to DUI in the future. Overall, a stepwise multilevel logistic regression analysis (Step 1: demographics, Step 2: TPB measures, and Step 3: additional predictors) explained between 30.1% and 52.9% of the variance in DUI intentions. It showed past DUI behavior as the strongest predictor of DUI intention, followed by instrumental attitude and descriptive norms. Conclusions: This study explored an extended TPB model to understand young drivers' DUI intentions better. With this new knowledge of understanding the factors that influence DUI, researchers and practitioners can create interventions and strategies that are better tailored to the population of young drivers at higher risk.

The effect of the Safer at Home order on the frequency of DUI breath alcohol tests in Los Angeles County.

With Los Angeles County having a population size of just over 10 million and an additional 471,000 people who commute into Los Angeles County for employment, many drivers are at risk of being injured or killed in an alcohol-impaired driving collision. On March 19, 2020, the County of Los Angeles issued the Safer at Home order as a result of the COVID-19 pandemic. This curtailed driving and decreased the number of breath alcohol tests that were conducted in Los Angeles County. The number of breath tests conducted in January-February of 2019 and 2020 and March-April of 2019 and 2020 were evaluated using Fisher's exact test and analysis of variance. There was a statistically significant decrease in the overall number of breath tests conducted in Los Angeles County in March-April of 2020. There was also a significant decrease in the number of collisions where DUI was a factor. Accounting for changes in traffic volumes, the number of breath tests per vehicle miles driven also decreased significantly. Since the Safer at Home order closed all non-essential services such as bars and restaurants, there is indirect data on the relative contribution of liquor-serving establishments, and to some extent large social gatherings, to the incidence of drunk driving. Taking into account traffic volume, it was determined that the odds of encountering an intoxicated driver decreased by approximately 23% during the Safer at Home period. This information could help policy-makers determine the likely effectiveness of various countermeasures to prevent drunk driving.

A skewed logistic model of two-unit bicycle-vehicle hit-and-run crashes.

OBJECTIVE: Hit-and-run behavior in crashes is a severe offense worldwide because the identification and emergency rescue of any injured road user is delayed. A motorist's run from the crash scene is especially serious for a cyclist who would be more prone to be physically injured in a bicycle-vehicle (BV) crash. The objective of this paper is to explore potential risk factors that contribute to the hit-and-run (HR) behavior of a driver after a two-unit BV collision. METHODS: The data used in this study are extracted from traffic crash records in the city of Durham, North Carolina in 2007-2014. This study uses the skewed logistic (Scobit) model to account for the skewness of the dependent variable (i.e., HR) in the dataset. RESULTS: The Likelihood ratio test, AIC and BIC results show that the Scobit model is preferred to the standard binary logistic model for modeling a driver's decision to run from a two-unit BV crash scene. Estimation results indicate that, the driver's tendency to run from a crash scene without reporting it in Durham increases if the bicyclist is a teenager or an adult, a drunk-driving or a speeding driver is involved, when the crash happens at night (19:00-6:59), on a local street, or when the automobile overtakes the bicycle. HR behavior will decrease if the cyclist is drunk, an SUV is involved, or the bicyclist fails to yield. CONCLUSIONS: The findings of this study are important and useful when developing countermeasures to prevent BV-HR crashes and to improve cycling safety.

Driving Impairment Cases Involving Etizolam and Flubromazolam.

This study describes 12 cases of drivers stopped for impaired driving, where a designer benzodiazepine was detected, specifically etizolam or flubromazolam. Etizolam was detected in three cases, with blood concentrations ranging from 40 to 330 ng/mL. Two of these cases had low concentrations of methamphetamine and/or amphetamine, and in the third case tetrahydrocannabinol (THC) was detected. Flubromazolam was detected in nine cases; in all cases, at least one other drug was detected, with THC being the most prevalent. The mean blood concentration of flubromazolam was 16.3 ng/mL and had a median concentration of 17.0 ng/mL, ranging from 7.0 to 31 ng/mL. The low concentrations of designer benzodiazepines that produce pharmacological effects may allow many of these drugs to go undetected using routine testing in laboratories; therefore, it is necessary to include these novel compounds within validated analytical methods to reduce the chance of reporting false negative results. The prevalence in which laboratories are detecting the presence of novel benzodiazepines in impaired drivers illustrates the increased threat to public safety. These case studies demonstrate the importance of investigating agencies and forensic laboratories to be vigilant in monitoring the emerging novel psychoactive substances in their region.