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.

Sex differences and driving impairment related to psychoactive substances.

OBJECTIVE: The first aim of the study was to identify sex differences in the use of psychoactive substances among subjects with a previous driving under the influence (DUI) episode. The secondary objective was to propose specific strategies for medico-legal improvements. METHODS: This was a retrospective observational study that took place between June 1, 2019, and August 31, 2023. It was conducted on DUI subjects examined for reinstatement of their driver's license using an integrated medico-legal and toxicological approach. Ethyl glucuronide (EtG) and illicit psychoactive substances were determined from hair samples. We performed descriptive statistical analyses for the entire sample as well as separately by sex. Additionally, we conducted binary logistic regression analyses separately for males and females to identify protective/risk factors associated with previous road accidents and judgments of unfitness to drive due to excessive alcohol consumption (EtG ≥ 30 pg/mg). RESULTS: The study included 2,221 subjects, comprising 1,970 men and 251 women. Men exhibited a higher prevalence of tobacco, alcohol, and illicit psychoactive substance use. Women were more frequently co-users of alcohol and psychoactive substances and involved in road accidents at the time of DUI. Among the men, being married or having a partner was found to be a protective factor concerning past traffic accidents. For both sexes, a DUI episode with a blood alcohol concentration (BAC) exceeding 1.5 g/L or the co-ingestion of alcohol and drugs was identified as a risk factor for road accident involvement. For men, smoking more than 20 cigarettes per day and, for women, having a DUI episode with a BAC over 1.5 g/L were the main factors indicating unfitness to drive, as determined through high hair EtG levels (> 30 pg/mg). Women with a previous history of road accidents were less likely to have EtG levels of 30 pg/mg or more. CONCLUSIONS: The study confirmed sex differences in subjects with a previous DUI episode. A BAC exceeding 1.5 g/L or the simultaneous use of alcohol and drugs at the time of DUI necessitate careful assessment of both men and women seeking driver's license reinstatement. In women, a BAC exceeding 1.5 g/L is considered a risk factor for a subsequent judgment of unfitness to drive. The medico-legal assessment should also involve a thorough investigation of smoking habits in men, as these habits could be related to an increased risk of excessive alcohol consumption.

Drug driving: a secondary analysis of factors associated with driving under the influence of cannabis in Jamaica.

OBJECTIVES: To determine cannabis use patterns, the predictive sociodemographic correlates of driving under the influence of cannabis (DUIC) and the association between risk perception and cannabis dependence among vehicle drivers in Jamaica. DESIGN: Secondary data analysis. SETTING: Used the Jamaica National Drug Prevalence Survey 2016 dataset. PARTICIPANTS: 1060 vehicle drivers extracted from the population sample of 4623. PRIMARY AND SECONDARY OUTCOME MEASURES: Analysis used Pearson's χ2 test and logistic regression. ORs and 95% CIs were recorded. A p<0.05 was considered statistically significant. RESULTS: More than 10% of Jamaican drivers admitted to DUIC in the past year. Approximately 43.3% of drivers who currently use cannabis reported DUIC only. Evidently, 86.8% of drivers who DUIC were heavy cannabis users. Approximately 30% of drivers with moderate to high-risk perception of smoking cannabis sometimes or often were dependent on cannabis. Notwithstanding, drivers with no to low-risk perception of smoking cannabis sometimes or often were significantly likelier to be dependent (p<0.001 and p<0.001, respectively). Logistic regression highlighted male drivers (OR 4.14, 95% CI 1.59 to 14.20, p=0.009) that were 34 years and under (OR 2.97, 95% CI 1.71 to 5.29, p<0.001) and were the head of the household (OR 2.22, 95% CI 1.10 to 4.75, p=0.031) and operated a machine as part of their job (OR 1.87, 95% CI 1.09 to 3.24, p=0.023) were more likely to DUIC, while those who were married (OR 0.42, 95% CI 0.22 to 0.74, p=0.004) and had achieved a tertiary-level education (OR 0.26, 95% CI 0.06 to 0.76, p=0.031) were less likely. CONCLUSIONS: Two in five Jamaican drivers, who currently smoke cannabis, drive under its influence, with over 85% engaging in heavy use. Public health implications necessitate policy-makers consider mobile roadside drug testing and amending drug-driving laws to meet international standards.

Driving under the influence of nitrous oxide - A retrospective study of HS-GC-MS analysis in whole blood.

Since 2020, our lab has received blood samples from traffic cases involving suspicion of driving under the influence of nitrous oxide (N2O). While N2O analysis by gas chromatography (GC) has been around for decades, quantitative results in blood from drivers have been only scarcely reported. We present a three-year (2020-2022) retrospective study of N2O from traffic cases in Eastern Denmark with suspected involvement of N2O intake. Whole blood samples from traffic cases were analysed for N2O using headspace-GC-MS. Freshly made calibration curves and additions of xenon gas as an internal standard were used for calculation of N2O concentrations. Positive samples have been defined as having concentrations greater than 0.1 mL N2O/L blood. Over a three-year period, we have tested 62 traffic case blood samples for the presence of N2O. Despite the technical challenges associated with the analysis of N2O, we have found N2O in 52 of the samples. Calculated concentrations were in the range 0.1-48 mL N2O/L blood, which are similar to the few cases previously found in the literature.

Driving Under the Influence of Cannabis: Impact of Combining Toxicology Testing with Field Sobriety Tests.

BACKGROUND: Cannabis is increasingly used both medically and recreationally. With widespread use, there is growing concern about how to identify cannabis-impaired drivers. METHODS: A placebo-controlled randomized double-blinded protocol was conducted to study the effects of cannabis on driving performance. One hundred ninety-one participants were randomized to smoke ad libitum a cannabis cigarette containing placebo or delta-9-tetrahydrocannabinol (THC) (5.9% or 13.4%). Blood, oral fluid (OF), and breath samples were collected along with longitudinal driving performance on a simulator (standard deviation of lateral position [SDLP] and car following [coherence]) over a 5-hour period. Law enforcement officers performed field sobriety tests (FSTs) to determine if participants were impaired. RESULTS: There was no relationship between THC concentrations measured in blood, OF, or breath and SDLP or coherence at any of the timepoints studied (P > 0.05). FSTs were significant (P < 0.05) for classifying participants into the THC group vs the placebo group up to 188 minutes after smoking. Seventy-one minutes after smoking, FSTs classified 81% of the participants who received active drug as being impaired. However, 49% of participants who smoked placebo (controls) were also deemed impaired at this same timepoint. Combining a 2 ng/mL THC cutoff in OF with positive findings on FSTs reduced the number of controls classified as impaired to zero, 86 minutes after smoking the placebo. CONCLUSIONS: Requiring a positive toxicology result in addition to the FST observations substantially improved the classification accuracy regarding possible driving under the influence of THC by decreasing the percentage of controls classified as impaired.

The Association Between Vaping and Driving Under the Influence of Cannabis Among U.S. Young Adults.

INTRODUCTION: Driving under the influence of cannabis is a significant public health concern that is particularly common in young adults (aged 18-25 years) and has increased in recent years. Vaping has also dramatically increased, particularly among young populations, and is frequently used for cannabis administration among young adults. Therefore, this study aimed to examine the positive association between vaping and cannabis driving under the influence among young adults (aged 18-25 years). METHODS: This study used the 2020 National Survey on Drug Use and Health and included young adults aged 18-25 years. This study examined past-year cannabis driving under the influence prevalence by past-year vaping at the intersection of past-year cannabis use, after adjusting for other associated factors such as race/ethnicity, sex, employment status, past-year other tobacco use, past-year serious psychological distress, and past-year driving under the influence of alcohol. Data were analyzed in 2022. RESULTS: Among a sample of 7,860 U.S. individuals aged 18-25 years, 23.8% vaped in the past year, and 9.7% reported past-year cannabis driving under the influence. Past-year vaping was positively associated with past-year cannabis use (adjusted prevalence ratio=2.12; 95% CI=1.91, 2.35). Among those with cannabis use in the past year, past-year vaping was positively associated with past-year cannabis driving under the influence (adjusted prevalence ratio=1.52; 95% CI=1.25, 1.84). CONCLUSIONS: This study found positive associations between past-year vaping, cannabis use, and cannabis driving under the influence among U.S. young adults, indicating that vaping was positively associated with cannabis use. Vaping was also positively associated with cannabis driving under the influence among those who used cannabis. This preliminary evidence could inform prevention/intervention strategies related to vaping and cannabis driving under the influence.

Perceived Safety, Not Perceived Legality, Mediates the Relationship Between Cannabis Legalization and Drugged Driving.

Cannabis legalization has rapidly spread throughout the United States and is associated with multiple public health outcomes, including driving under the influence of cannabis (DUIC). To improve understanding of the relationship between legalization and DUIC, we tested two potential mediators of this relationship: perceived safety and perceived legality of driving high. We analyzed data from 1,236 current (past 30-day) cannabis users who were recruited from states with recreational, medical only, or no legal cannabis between 2016 and 2017 using address-based and social media samples. Using a generalized linear model and adjusting for cannabis legalization, demographics, living in a state with a cannabis-specific drugged driving law, frequency of cannabis use, and weights, we found that perceived safety (risk ratio [RR] = 2.60, 95% CI [1.88, 3.58]), but not perceived legality (RR = 0.96, 95% CI [0.67, 1.37]), was significantly associated with DUIC. Perceived safety mediated the relationship between legalization and DUIC (Coeff: -0.12, 95% CI [-0.23, -0.01]). Models stratified by frequency of cannabis use yielded results consistent with those of pooled models except that, for frequent users, cannabis-specific driving laws were associated with a significantly lower risk of DUIC (RR = 0.64, 95% CI [0.44, 0.92]). Agencies developing cannabis-focused drugged driving educational campaigns should consider the potential role of perceived safety of driving high in DUIC campaigns.

Uber use after alcohol consumption among car/motorcycle drivers in ten Brazilian capitals

ABSTRACT OBJECTIVE This study aimed to measure the proportion of Uber use instead of drinking and driving in ten Brazilian capitals, in 2019. METHODS A cross-sectional survey was developed in ten Brazilian capitals. Data were collected in agglomeration points (AP) and sobriety checkpoints (SC). Based on responses to a standardized questionnaire, the proportion of drivers who used Uber instead of drinking and driving was measured for total sample of each methodology and stratified by municipality, age group, gender, education level, and type of vehicle. Fisher's exact test was used to make comparisons between the strata. RESULTS A total of 8,864 drivers were interviewed. The most used means of transport to replace driving after drinking alcohol was the Uber system (AP: 54.6%; 95%CI: 51.2-58.0. SC: 58.6%; 95%CI: 55.2-61.9). Most of these users were aged from 18 to 29 years, women, with at least one higher education degree. According to the AP methodology, the highest magnitude of this indicator was found in Vitória (ES) (71.0%; 95%CI: 63.5-77.5), whereas the lowest was observed in Teresina (PI) (33.1%; 95%CI: 22.7-45.5). According to the SC methodology, the highest magnitude of the indicator was also found in Vitória (ES) (78.3%; 95%CI: 68.8-85.5), whereas the lowest was observed in Boa Vista (RR) (36.6%; 95%CI: 26.8-47.7). CONCLUSION In Brazilian capitals, the study showed higher proportions of Uber use instead of drinking and driving. This type of scientific evidence on factors associated with road traffic injuries presents the potential to guide public health interventions.

A new alcohol-related traffic law, a further reduction in traffic fatalities? Analyzing the case of Turkey.

BACKGROUND: In June 2013, an alcohol-related traffic law took effect in Turkey. The law 6487 introduced administrative fines for not respecting blood alcohol concentration limits, health warning messages on alcohol containers (bottles, cans), and prohibited the sale of alcohol beverages in retail facilities between 10 p.m. and 6 a.m.. This article examines how this law is associated with traffic fatality variation. METHODS: Data from the Turkish Statistical Institute for the 2008-2019 period were analyzed. Outcomes were traffic fatality rates per 100,000 population and 10,000 motor vehicles. Exposure variable was the presence of law 6487. Alcohol, tobacco, and related beverages' household expenditure, unemployment rate, number of health professionals, number of crashes, and lags of the outcomes represented control variables. A time-series cross-regional fixed effect model was applied. RESULTS: Empirical estimates suggest that the law 6487 was associated with a reduction of 15% (Incidence Rate Ratio (IRR) 0.85, 95% Confidence Interval (CI): 082, 0.94) in the traffic fatality per population rate and with a reduction of 14% (IRR: 0.86 (95% CI: 0.78, 0.92) in the traffic fatality per motor-vehicle rate. After 6 years of its implementation, this intervention was associated with an absolute reduction of 1519 (95% reduction interval: 1177, 1810) traffic fatalities. CONCLUSIONS: Our research emphasizes that legislation with direct and indirect measures targeting driving under the influence of alcohol (DUIA) may be related to traffic fatalities reduction. PRACTICAL APPLICATIONS: This finding has important implications for policy and future research in contexts in which alcohol consumption is low such is in Turkey. Future research should seek to identify mechanisms that explain how laws are ultimately associated with DUIA variation.

The Association among Alcohol Consumption Patterns, Drink-Driving Behaviors, and the Harm from Alcohol-Related Road Traffic Injuries Due to the Drinking of Others in Thailand.

Thailand has one of the highest rates of traffic-related fatalities and alcohol-related road traffic injuries globally. Previous studies focused on alcohol consumption and road traffic injuries. However, no existing studies investigate the association between drink-driving behaviors and road traffic injuries due to the drinking of others. This study aims to explore any potential associations among alcohol drinking patterns, drink-driving behaviors, and the harm from alcohol-related road traffic injuries due to the drinking of others. The Thai Tobacco and Alcohol Use Household National Survey data in 2017 (n = 80,797) were analyzed using multiple logistic regression. This study found that current drinkers and binge drinkers were more likely to suffer from road traffic injuries due to others' drink-driving behavior, i.e., 1.50 times (95% CI: 1.49-1.51) and 2.31 times (95% CI: 2.30-2.33), respectively, compared with non-drinkers. In addition, we found that drink-driving behavior was associated with harm from road traffic injuries due to others' drink-driving behavior by 2.12 times (95% CI: 2.10-2.14) compared with the non-drinker group. This study calls for effective measures to reduce drink-driving behaviors to prevent road traffic injuries due to the drinking of others.

A unique case of driving while under the influence of isopropanol.

Isopropanol intoxication, whether accidental or intentional, is not unusual. Alcoholics have long-resorted to isopropanol because of its availability and cost. The incidence of isopropanol intoxication with driving, however, has been reported only a few times in the literature. A unique case is reported where an individual intentionally drank isopropanol and was involved in a minor traffic incident. The individual's impairment was not consistent with a preliminary breath test of 0.062%. The officer proceeded to an evidential breath test, but received an "interferent-detected" result, and then requested a drug recognition expert (DRE). A full DRE evaluation was performed, indicating central nervous system depressants, marijuana, and narcotic analgesics. Laboratory analysis included chromatographic testing for volatiles and an immunoassay drug screen. Results were positive for isopropanol and acetone; no other compounds were detected. This case report provides a unique comprehensive evaluation of a driver under the influence of isopropanol.

11-Year Study of Fentanyl in Driving Under the Influence of Drugs Casework†.

Prior to 2017, heroin and other prescription opioids were the most prevalent opioids implicated in driving under the influence of drugs (DUID) investigation cases, and fentanyl was rarely included in the scope of toxicological analysis. Fentanyl has become the most frequently identified opioid in DUID cases, with many suspected heroin cases turning out to be only fentanyl. A review of fentanyl-positive DUID cases at NMS Labs was performed to provide prevalence information, change in concentration, patterns of combined drug use, indicators of impairment and driving behavior in order to assist with the toxicological interpretation of DUID scenarios involving fentanyl. Fentanyl-positive DUID cases received between January 2010 and December 2020 were examined. Blood results were confirmed and quantitated for fentanyl, norfentanyl and acetylfentanyl using a liquid chromatography--tandem mass spectrometry analysis with a limit of quantitation of 0.10, 0.20 and 0.10 ng/mL, respectively. Of 153,234 blood cases examined for DUID over 11 years, fentanyl was confirmed positive in 6,779 (4.4%) cases. However, there were significant changes in positivity over time. Fentanyl percentage positivity increased from 0.60% in 2010 to 12% in 2020. Of 5,976 confirmed fentanyl-positive cases in 2018-2020, blood concentrations >4.0 ng/mL were observed in 44% (2018), 55% (2019) and 59% (2020) of cases. Polypharmacy was common with 87% of blood samples confirmed positive for fentanyl and at least one other compound. Stimulant was the most commonly identified drug class in cases where at least one additional drug class was present. This study illustrates the importance of including fentanyl in a routine blood DUID panel.

A study of self-reported personal cannabis use and state legal status and associations with engagement in and perceptions of cannabis-impaired driving.

Objective: The objectives of the current study were to (1) characterize predictors of perceived risk of driving within 2 h of cannabis use and driving after cannabis use in a sample of adults who have used cannabis in the past year and (2) determine whether the influence of these predictors vary by state legalizations status.Methods: Data for this study were from online surveys. Study participants from Colorado, Iowa, and Illinois were included if they reported being between 25 and 40 years old and had a history of cannabis use. Outcome variables included (1) days of cannabis use per month, (2) reported driving within 2 h of cannabis use (vs. not driving within 2 h as reference), (3) proportion of driving after cannabis use days per month (days of driving a car within 2 h of cannabis use per month/days of cannabis use per month), and (4) perception of safety of driving after cannabis use. Potential predictors included age of first use of cannabis, gender, education status, and state of residence. The SAS GLMSELECT Procedure was used for the analysis.Results: Increased age of first use of cannabis was associated with decreased days of cannabis use per month (B = -0.51 days/month per year), a reduction in the proportion of driving after cannabis use days per month (B = -0.02 per month), and decreased perception of safety of driving after cannabis use (B = -0.06 per year). Female gender was also associated with less use (B = -2.3 days per month), a lower proportion of driving following use (B = -0.06 days driving/days used), and decreased perception of safety (B = -0.29). In addition, residents of Colorado reported using the most days, had the highest likelihood of driving within 2 h of use, and had the most positive perceptions of being able to safely drive after cannabis use.Conclusions: The delay in onset of cannabis use may mitigate its use among adults and driving after cannabis use. This has important implications for driver safety. Intervention programs for reducing cannabis's effects on driving should focus on individuals with early onset of use, male drivers, and drivers in states where cannabis for adult recreational use is legalized.

The habit of drinking and driving in Brazil: National Survey of Health 2013 and 2019 / O hábito de beber e dirigir no Brasil: Pesquisa Nacional de Saúde, 2013 e 2019

ABSTRACT OBJECTIVE To assess factors associated with the habit of drinking and driving and estimating the variations in the prevalence of this behavior in 2013 and 2019, considering information from the two editions of the Pesquisa Nacional de Saúde (PNS - National Survey of Health). METHODS PNS is a nationwide cross-sectional home-based study. In 2013 and 2019, 60,202 and 85,854 individuals were interviewed, respectively. To assess the association between the indicator "drinking and driving" and the study variables, crude and adjusted odds ratios (ORs) were estimated using logistic regression models. To compare the prevalence between the studied years, a Pearson's chi-squared test adjusted by the Rao-Scott correction (which considers the effect of the sampling plan) and converted into an F statistic, tested at a 5% significance level, was used. RESULTS The prevalence of drinking and driving was higher among men in 2013 (27.4%; 95%CI 25.6-29.3%) and 2019 (20.5%; 95%CI 19.4-21.7%) than among women (11.9%; 95%CI 9.9-14.2% and 7.2%; 95%CI 6.7-9.0%, respectively). Inidviduals aged 30 to 39, who lived without a partner, in rural areas, and were motorcycle drivers had significantly higher estimates. Men with higher income had higher prevalence of drinking and driving. From 2013 to 2019, the act of drinking and driving significantly decreased. Regarding traffic accidents, ORs were significant (p < 0.01) in the studied years for both men and women. DISCUSSION Results show the need to continue policies to monitor blood alcohol level and traffic education, with specific actions directed to rural areas and motorcycle drivers.

RESUMO OBJETIVO Investigar os fatores associados ao hábito de beber e dirigir, bem como estimar as variações nas prevalências desse comportamento entre os anos de 2013 e 2019, por meio das informações das duas edições da Pesquisa Nacional de Saúde (PNS). MÉTODOS A PNS é um estudo transversal, de âmbito nacional e base domiciliar. Nos anos de 2013 e 2019, foram entrevistados, respectivamente, 60.202 e 85.854 indivíduos. Para investigar a associação entre o indicador "beber e dirigir" e as variáveis do estudo, as razões de chances (RC) brutas e ajustadas foram estimadas por meio de modelos de regressão logística. Para a comparação das prevalências entre os anos estudados, foi utilizado o teste Qui-Quadrado de Pearson ajustado pela correção de Rao-Scott (que leva em consideração o efeito do plano de amostragem) e convertido em uma estatística F, testada no nível de significância de 5%. RESULTADOS A prevalência do hábito de beber e dirigir foi maior entre os homens no ano de 2013 (27,4%; IC95% 25,6-29,3%) e no ano de 2019 (20,5%; IC95% 19,4-21,7%) do que entre as mulheres (11,9%; IC95% 9,9-14,2% e 7,2%; IC95% 6,7-9,0%, respectivamente). Estimativas significativamente mais altas foram apresentadas por pessoas de 30 anos a 39 anos, que vivem sem companheiro(a), residentes em áreas rurais e condutores de motocicleta. Maiores prevalências de beber e dirigir foram encontradas entre homens que possuem maior rendimento. Entre os anos de 2013 e 2019, foi observado um decréscimo significativo no ato de beber e dirigir. Quanto ao envolvimento em acidentes de trânsito, as RC foram significativas (p < 0,01) nos anos estudados em ambos os sexos. DISCUSSÃO Os resultados mostram a necessidade de dar continuidade às políticas de fiscalização de alcoolemia e educação no trânsito, com ações específicas dirigidas às áreas rurais e aos condutores de motocicletas.

Cigarette Smoking as a Predictor of Male DUI Recidivism.

This study aimed to investigate the predictors of recidivism in first-time driving under the influence (DUI) offenders, analyzing variables derived from medico-legal and toxicological examinations. The research was structured as a comparative study for the period 2012-2019. DUI offenders with a blood alcohol concentration >0.5 were included in the study. The case group consisted of recidivist offenders, while the comparison group consisted of first-time offenders. Personal data, socioeconomics, and parameters linked to the DUI were compared between the two groups. Significance was determined by chi-square and Mann-Whitney tests. To prevent confounding effects, multivariate binary logistic regression analysis was performed. Our sample encompassed 1678 subjects (196 in the case group, 1482 in the comparison group). Gender, driving license category, education, and tobacco use resulted in significant differences between the groups. In a model including age at DUI, education, and smoking habit as independent variables, higher educational levels (high school, bachelor's) and older age protected against recidivism, whereas smoking >20 cigarettes/day was an independent risk factor for recidivism. Recidivist offenders have specific characteristics indicating different therapeutic programs and carefulness in driving license regranting. A higher tobacco consumption in recidivists suggests that the use of this substance could influence the risk of DUI for reasons that will need to be explored.

Alcohol, marijuana, and nicotine use as predictors of impaired driving and riding with an impaired driver among college students who engage in polysubstance use.

OBJECTIVE: While alcohol, marijuana, and nicotine are the most commonly used substances, there is limited research on the between- and within-person associations of their use and driving under the influence (DUI) and riding with an impaired driver (RWID). The current study utilized a burst design to assess how use and co-use of these substances is associated with DUI and RWID. METHODS: College student drinkers with past-year marijuana and/or nicotine use (N = 367) were assessed on two consecutive weekends for three semesters. Logistic regression compared students who only reported drinking to student drinkers who used marijuana, nicotine, or all three substances on likelihood to DUI and RWID. Multilevel logistic models assessed the associations of varied combinations of substances with the daily likelihood of DUI and RWID. RESULTS: Compared to students who only used alcohol, students who also reported marijuana use were more likely to DUI (OR = 5.44), and students who reported use of alcohol, nicotine and marijuana more likely to DUI (OR = 10.33) and RWID (OR = 10.22). Compared to occasions when only alcohol was used, DUI was more likely on marijuana only occasions (OR = 9.08), and RWID was more likely on alcohol and marijuana occasions (OR = 3.86). However, confidence intervals were wide for effects. DISCUSSION: Students reporting use of all 3 substances had higher overall risk of DUI and RWID indicating prevention efforts for DUI and RWID should include all substances. Implications for prevention and intervention strategies at the individual and environmental level are discussed.

Young drivers' determinants of driving under the influence of cannabis: Findings from the Youth Cannabis and Driving Survey (YouCanDS).

INTRODUCTION: Driving under the influence of cannabis (DUIC) is proven to increase the risk of collisions and is most common among young drivers (ages 16 to 24). However, little is known about the specific determinants of DUIC behavior among youth, which limits the capacity to develop evidence-based prevention and intervention efforts. This study developed and evaluated a youth DUIC questionnaire, which was used to establish the DUIC determinants of young drivers. METHOD: The questionnaire was based on the theoretical framework of general deterrence and general prevention. Data obtained included: demographics, past cannabis use and DUIC experiences, DUIC intention, experiences riding as a passenger with someone DUIC, knowledge and credibility of the law, attitudes towards DUIC, and social controls. The resulting questionnaire was validated for a sample of 426 young drivers in the province of Ontario, Canada. An ordinal regression was conducted to examine the relationships between questionnaire items and DUIC intention. RESULTS: The questionnaire displayed good construct validity and internal consistency across four out of five domains (KMO and Cronbach α values ≥ 0.70). Of the 426 respondents (52.6% female), 356 (83.6%) reported previous cannabis use, with 296 (69.5%) doing so in the past year, and 142 (33.3%) reporting DUIC. Furthermore, 179 (42%) study participants indicated at least a slight chance of DUIC in the next year. The regression analysis identified six variables predictive of DUIC intention: past DUIC incidence, perceived percent of those convicted that receive the penalty, moral awareness, perceived dangerousness, minor accident risk, and vicarious punishment avoidance. CONCLUSIONS: Preventive efforts should emphasize these determinants when designing targeted strategies and interventions. Practical Applications: These efforts should focus on educating the dangers and risk of a vehicle collision, that law enforcement has the capacity to apprehend and appropriately punish individuals DUIC, and that DUIC is wrong and socially unacceptable.

Driving license regranting in DUI subjects: Road accident variables and predictive factors of substance use disorder.

A comparative case study (2017-2020) was conducted to identify demographic, social, medico-legal, and toxicological variables associated with non-fatal accidents in driving under the influence (DUI) subjects. A second aim was to identify the factors predictive of substance use disorders among subjects. Drivers charged with alcohol DUI (blood alcohol concentration (BAC) > 0.5) and/or psychoactive substance DUI were included; cases included those involved in an accident while intoxicated, and the comparison group included DUI offenders negative for road accident involvement. Significance was determined by chi-square and Mann-Whitney tests. To prevent confounding effects, a multivariate binary logistic regression analysis was performed. Our sample encompassed 882 subjects (381 in the case group and 501 in the comparison group). Parameters such as psychoactive substances and BAC at the time of the road crash/DUI and the day of the week, when subjects were involved in the road accident or found DUI, resulted in significant differences (p < 0.01) between groups. The model's independent variables of BAC > 1.5 g/L (p = 0.013), BAC > 2.5 g/L (p < 0.001), and concurrent alcohol and psychoactive substance use (p < 0.001) were independent risk factors for an accident. Smoking >20 cigarettes/day was an independent risk factor for unfitness to drive (p < 0.01). Unfitness to drive was based primarily on ethyl glucuronide levels >30 pg/mg. Our results suggest a detailed assessment of DUI subjects with variables associated with accidents (BAC > 1.5 g/L and concurrent intake of psychoactive substances). Hair analysis, including ethylglucuronide (EtG) concentration, should be always performed. Based on our results, nicotine use should be investigated in cases of driving license regranting.