Profile of women detected drink driving via Roadside Breath Testing (RBT) in Queensland, Australia, between 2000 and 2011

The who, what and when of drug driving in Queensland: Analysing the results of roadside drug testing, 2015-2020

Roadside Drug Testing (RDT) is the primary strategy utilised in Australia to detect and deter drug driving. RDT operations have been expanding and evolving in Queensland since their introduction in 2007, with the number of tests increasing by 5.63 times between 2009 and 2019. The objective of this paper was to explore trends and characteristics of the 60,551 positive results detected in Queensland's RDT program (from January 2015 to June 2020), which focuses on the detection of Delta-9-tetrahydrocannabinol (THC), Methylenedioxymethylamphetamine (MDMA) and methamphetamine (MA). The analysis indicated that (over the entire testing period) MA was the most common drug detected in isolation (39.4%), followed by THC (34%) and the combination of MA and THC (21.9%). When considering detections with two or more drugs, MA was present in 64% of detections, THC in 59% and MDMA in 1.8%. THC was most commonly detected among younger drivers (e.g., aged 16 to 24), while MA was most commonly detected with drivers aged 25 and 59 years. Analysis of sociodemographic and contextual factors revealed that positive roadside tests were most commonly associated with males who had consumed methamphetamines, aged between 30 and 39 who were driving a car on a Friday or Saturday between 2:00 pm and 6:00 pm. The findings provide some indication as to the extent of drug driving within Queensland (and growing use of MA) and have clear implications for enforcement activities, not least, directing sufficient resources to address the burgeoning problem.

Drink driving engagement in women: An exploration of context, hazardous alcohol use, and behaviour

Background

While drink driving continues to be significantly more common among male drivers, there is evidence from many countries that shows a growing trend of women engaging in this risky behaviour. The aims of the current study were threefold: (i) determine to what extent a sample of women drivers reported engaging in drink driving behaviour by expanding the construct into a range of definitions, (ii) determine if there were significant differences in self-reported engagement in drink driving behaviours in accordance with hazardous drinking behaviour, and (iii) identify which situational or personal factors would increase women drivers’ likelihood to engage in drink driving through presenting a range of scenarios.

Method

Data were collected using an on-line, purpose-designed survey and promoted to reach women aged 17 years and older, living in Queensland, Australia. In addition to questions relating to demographic characteristics, participants completed items relating to engagement in seven drink driving related behaviours in the previous 12-month period, hazardous drinking as measured by the Alcohol Use Disorders Identification Test, and likelihood of driving when unsure if over the legal limit for licence type across a range of scenarios manipulating different situational factors. A total of 644 valid responses were received in the two-week period the study was advertised.

Results

The results demonstrate women’s self-reported engagement in drink driving behaviour ranged from 12.6% (driving when they believed they were over the legal limit) to over 50.0% (driving when unsure if over the legal limit the morning after drinking alcohol) and was significantly more likely among those who reported hazardous levels of alcohol use. Circumstances in which women reported they would drive when unsure if over the legal BAC limit were when they were a few blocks from home, if they subjectively felt they were not too intoxicated, or if they needed their car to get somewhere the next morning.

Conclusion

Examining drink driving behaviour by way of responses to nuanced definitions provided valuable insight into self-reported engagement in the behaviour and highlights the usefulness of multi-measure dependent variables in order to illuminate a more accurate acknowledgement into both the type (and extent) of drink driving behaviours.

Driving while impaired by alcohol: An analysis of drink-drivers involved in UK collisions

Objective: Drink-driving represents a critical issue on international organizations' agendas as one of the key behavioral risk factors in road traffic safety, alongside speed and nonuse of motorcycle helmets, seat belts, and child restraints. Changing road user behaviors regarding these 5 factors is a critical component in reducing road traffic injuries and casualties. The objective of this study is the identification of drivers who are more likely to contribute to crashes in the UK while impaired by alcohol to design targeted drink drive compliance campaigns. Method: To profile drivers with the factor "impaired by alcohol" assigned in collisions, an extensive data set is used, including all reported injury collisions between 2011 and 2015 in the UK (police records), merged with the Experian Mosaic Database. A multilevel mixed-effects logistic regression is conducted, utilizing the hierarchical nature of the data (drivers within Mosaic types). Results: Using multilevel mixed-effects logistic regression analysis, the finding is that some driver profiles are more likely to contribute to crashes and are assigned the contributory factor "impaired by alcohol." Drink-related crashes are more common in some circumstances or for some crash-involved driver groups than others. For instance, alcohol-related crashes are more likely to occur on single carriageways and among males and 25- to 35-year-olds. Drink-drive-related crashes are found to be strongly associated with dark lighting conditions and, more specifically, with late night hours (the interval between 3:00 a.m. and 4:00 a.m. accounts for a third of the drink-drive-related collisions). Using the Experian Mosaic Database which divides the UK population into 66 types based on demographic, lifestyle, and behavior characteristics, the finding is that, among crash-involved drivers, some Mosaic types are significantly more likely (e.g., pocket pensions, dependent greys, streetwise singles) and others are significantly less likely (e.g., crowded kaleidoscope, cultural comfort, penthouse chic) to contribute to a drink-related crash. Conclusions: The outcome is a more nuanced understanding of drivers contributing to drink-related crashes in the UK. The study concludes by discussing the implications for governments and other interested bodies for better targeting and delivery of public education campaigns and interventions.

Sex differences in the association between impulsivity and driving under the influence of alcohol in young adults: The specific role of sensation seeking

INTRODUCTION

There is an outstanding need to identify predictors of driving under the influence of alcohol (DUI) among young adults, particularly women. Impulsivity, or the tendency to act without thinking, is a predictor of DUI, but the specific facets of impulsivity that predict DUI and their interaction with sex differences remain unclear. We aimed to investigate sex differences in the link between impulsivity facets and DUI. Moreover, we sought to replicate previous findings regarding sex differences on impulsivity, and associations between impulsivity facets and DUI.

METHOD

A total of 506 university students participated in the study (males, n = 128; females, n = 378). Participants completed measures of impulsivity (UPPS-P short version), alcohol use (AUDIT-C), frequency of DUI episodes and related perception of risk. The UPPS-P assesses five facets of impulsivity: sensation seeking, (lack of) premeditation and perseverance and positive and negative urgency.

RESULTS

Men showed higher sensation seeking and lack of perseverance, alcohol use and DUI frequency and lower risk perception than women. DUI frequency was negatively associated with perception of risk and positively associated with alcohol use and the five impulsivity facets. After controlling for alcohol use and risk perception, only lack of premeditation was associated with DUI frequency in the whole sample. Sensation seeking was positively associated with DUI frequency only in women.

DISCUSSION

The link between lack of premeditation and DUI suggest that pre-drinking planning strategies can contribute to prevent risky driving. In women, specific links between sensation seeking and DUI suggest the need for personality-tailored prevention strategies.

Estimating factors of individual and regional characteristics affecting the drink driving recidivism

Traffic violations, particularly drink driving, are a menace to the drivers themselves, and to other road users. Drink driving crashes often cause death or serious injury to the driver. Understanding the recidivism effect factor of drink driving is essential for designing effective countermeasures. This study is based on register-based data from the National Police Agency, Ministry of the Interior of Taiwan and monthly administrative area information from 2012 to 2015 for the entire population. Hence, this study not only focuses on the effect factor and violation differences between recidivists and non-recidivists, but discusses the entire regional characteristics effect for recidivism. The purpose of this study is to offer a comprehensive econometrical framework, using a multilevel random effect logistic model, which highlights important contributors to drink driving recidivism from regional attributes. As the study findings from our empirical results indicate, there are statistically significant differences with drink driving in administrative areas, depending on the number of report on drink driving by police, divorce rate of the population, alcohol consumption, number of community security patrol teams, number of bus trips, and level of education. The results of this study provide suggestions to the government for enhancing community security and developing public transportation, both of which can effectively decrease drink driving recidivism and improve public road safety.

Predicting self-reported drink driving among middle-aged women

A substantial and sustained increase in the proportion of drink drivers that is female is observed in many parts of the motorised world. Given this trend, a better understanding of the factors that influence drink driving among women is needed. The current study investigated drink driving among middle-aged women, a relatively under-researched group of female drink drivers. A total of 781 women (age; M=51.36, SD=4.29years) completed a cross-sectional survey measuring a number of alcohol beliefs and drink driving. Among the included alcohol beliefs, viewing alcohol as a form of social enhancement as well as higher perceived heavy episodic drinking among same-aged women and greater acceptability toward this consumption pattern significantly increased the likelihood of self-reported drink driving. However, after adjusting for harmful consumption patterns, only alcohol as form of social enhancement remained significant. These results indicate that middle-aged women who engage in harmful alcohol consumption are more likely to drink drive, but also that the social aspect of drinking is a risk factor. Targeting both harmful consumption patterns as well as alcohol beliefs that are held by middle-aged women may reduce the incidence of drink driving in this group.

The law isn't everything: The impact of legal and non-legal sanctions on motorists' drink driving behaviors

INTRODUCTION

The effectiveness of drink driving countermeasures (such as sanctions) to deter motorists from driving over the legal limit is extremely important when considering the impact the offending behavior has on the community. However, questions remain regarding the extent that both legal and non-legal factors influence drink driving behaviors. This is of particular concern given that both factors are widely used as either sanctioning outcomes or in media campaigns designed to deter drivers (e.g., highlighting the physical risk of crashing).

METHOD

This paper reports on an examination of 1,253 Queensland motorists' perceptions of legal and non-legal drink driving sanctions and the corresponding deterrent impact of such perceptions on self-reported offending behavior. Participants volunteered to complete either an online or paper version of the questionnaire.

RESULTS

Encouragingly, quantitative analysis of the data revealed that participants' perceptions of both legal sanctions (e.g., certainty, severity and swiftness) as well as non-legal sanctions (e.g., fear of social, internal or physical harm) were relatively high, with perceptual certainty being the highest. Despite this, a key theme to emerge from the study was that approximately 25% of the sample admitted to drink driving at some point in time. Multivariate analyses revealed six significant predictors of drink driving, being: males, younger drivers, lower perceptions of the severity of sanctions, and less concern about the social, internal, and physical harms associated with the offense. However, a closer examination of the data revealed that the combined deterrence model was not very accurate at predicting drink driving behaviors (e.g., 21% of variance).

PRACTICAL APPLICATIONS

A range of non-legal deterrent factors have the potential to reduce the prevalence of drink driving although further research is required to determine how much exposure is required to produce a strong effect.

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

Background

Driving after the consumption of alcohol represents a significant problem globally. Individual prevention countermeasures such as personalized mobile apps aimed at preventing such behavior are widespread, but there is little research on their accuracy and evidence base. There has been no known assessment investigating the quality of such apps.

Objective

This study aimed to determine the quality and accuracy of apps for drink driving prevention by conducting a review and evaluation of relevant mobile apps.

Methods

A systematic app search was conducted following PRISMA guidelines. App quality was assessed using the Mobile App Rating Scale (MARS). Apps providing blood alcohol calculators (hereafter “calculators”) were reviewed against current alcohol advice for accuracy.

Results

A total of 58 apps (30 iOS and 28 Android) met inclusion criteria and were included in the final analysis. Drink driving prevention apps had significantly lower engagement and overall quality scores than alcohol management apps. Most calculators provided conservative blood alcohol content (BAC) time until sober calculations. None of the apps had been evaluated to determine their efficacy in changing either drinking or driving behaviors.

Conclusions

This novel study demonstrates that most drink driving prevention apps are not engaging and lack accuracy. They could be improved by increasing engagement features, such as gamification. Further research should examine the context and motivations for using apps to prevent driving after drinking in at-risk populations. Development of drink driving prevention apps should incorporate evidence-based information and guidance, lacking in current apps.

Profiling drunk driving recidivists in Denmark

Drunk drivers are a menace to themselves and to other road users, as drunk driving significantly increases the risk of involvement in road accidents and the probability of severe or fatal injuries. Although injuries and fatalities related to road accidents have decreased in recent decades, the prevalence of drunk driving among drivers killed in road accidents has remained stable, at around 25% or more during the past 10 years. Understanding drunk driving, and in particular, recidivism, is essential for designing effective countermeasures, and accordingly, the present study aims at identifying the differences between non-drunk drivers, drunk driving non-recidivists and drunk driving recidivists with respect to their demographic and socio-economic characteristics, road accident involvement and other traffic and non-traffic-related law violations. This study is based on register-data from Statistics Denmark and includes information from 2008 to 2012 for the entire population, aged 18 or older, of Denmark. The results from univariate and multivariate statistical analyses reveal a five year prevalence of 17% for drunk driving recidivism, and a significant relation between recidivism and the drunk drivers' gender, age, income, education, receipt of an early retirement pension, household type, and residential area. Moreover, recidivists are found to have a higher involvement in alcohol-related road accidents, as well as other traffic and, in particular, non-traffic-related offences. These findings indicate that drunk driving recidivism is more likely to occur among persons who are in situations of socio-economic disadvantage and marginalisation. Thus, to increase their effectiveness, preventive measures aiming to reduce drunk driving should also address issues related to the general life situations of the drunk driving recidivists that contribute to an increased risk of drunk driving recidivism.

Wrong-way driving crashes on French divided roads

CONTEXT

The objective of divided roads is to increase users' safety by posting unidirectional traffic flows. It happens however that drivers proceed in the wrong direction, endangering themselves as well as other users. The crashes caused by wrong-way drivers are generally spotlighted by the media and call for public intervention.

OBJECTIVES

This paper proposes a characterization of wrong-way driving crashes occurring on French divided road on the 2008-2012 period. The objective is to identify the factors that delineate between wrong-way driving crashes and other crashes.

METHOD

Building on the national injury road crash database, 266 crashes involving a wrong-way driver were identified. Their characteristics (related to timing, location, vehicle and driver) are compared to those of the 22,120 other crashes that occurred on the same roads over the same period. The comparison relies on descriptive statistics, completed by a logistic regression.

RESULTS

Wrong-way driving crashes are rare but severe. They are more likely to occur during night hours and on non-freeway roads than other crashes. Wrong-way drivers are older, more likely to be intoxicated, to be locals, to drive older vehicles, mainly passenger cars without passengers, than other drivers.

PERSPECTIVES

The differences observed across networks can help prioritizing public intervention. Most of the identified WW-driving factors deal with cognitive impairment. Therefore, the specific countermeasures such as alternative road signs should be designed for and tested on cognitively impaired drivers. Nevertheless, WW-driving factors are also risk factors for other types of crashes (e.g. elderly driving, drunk driving and age of the vehicle). This suggests that, instead of (or in addition to) developing WW-driving specific countermeasures, managing these risk factors would help reducing a larger number of crashes.