The Analysis of the Factors Influencing the Severity of Bicyclist Injury in Bicyclist-Vehicle Crashes

Transportation and technological development have for centuries strongly influenced the shaping of urbanized areas. On one hand, it undoubtedly brings many benefits to their residents. However, also has a negative impact on urban areas and their surroundings. Many transportation and technological solutions lead, for example, to increased levels of pollution, noise, excessive energy use, as well as to traffic accidents in cities. So, it is important to safe urban development and sustainability in all city aspects as well as in the area of road transport safety. Due to the long-term policy of sustainable transport development, cycling is promoted, which contributes to the increase in the number of this group of users of the transport network in road traffic for short-distance transport. On the one hand, cycling has a positive effect on bicyclists’ health and environmental conditions, however, a big problem is an increase in the number of serious injuries and fatalities among bicyclists involved in road incidents with motor vehicles. This study aims to identify factors that influence the occurrence and severity of bicyclist injury in bicyclist-vehicle crashes. It has been observed that the factors increasing the risk of serious injuries and deaths of bicyclists are: vehicle driver gender and age, driving under the influence of alcohol, exceeding the speed limit by the vehicle driver, bicyclist age, cycling under the influence of alcohol, speed of the bicyclist before the incident, vehicle type (truck), incident place (road), time of the day, incident type. The obtained results can be used for activities aimed at improving the bicyclists’ safety level in road traffic in the area of analysis.

Drugged Driving among Sexual Minority Older Adults in the United States, 2015-2019

Introduction Drugged driving, the act of operating vehicles under the influence of one or more illicit substances is responsible for numerous emergency department visits, deaths, and increased medical costs. Despite higher instances of drug use, older sexual minority (LGB) adults are often neglected in prevention efforts. This study assessed inequities between sexual minority older adults and their heterosexual counterparts in drugged driving across three difference substances (alcohol, marijuana, other drugs). Methods Pooled data from individuals 50 years or older (n = 43,238; 1,115 sexual minority adults) in the 2015–2019 National Survey on Drug Use and Health were analyzed. Past-year driving under the influence of alcohol, marijuana, and illicit drugs were outcome variables, and survey-weighted frequencies with 95% confidence limits and crude ORs with 95% confidence intervals (CI) were estimated. Results In the past year, 4.82% of older adults drove under the influence of alcohol, 1.33% drove under the influence of marijuana, and 1.48% drove under the influence of illicit drugs. Sexual minority adults consistently showed higher odds of drugged driving than their heterosexual counterparts, with individuals who identify as bisexual being most at risk for driving under the influence of illicit drugs (aOR:4.49, 95%CI: 2.84, 7.08) and marijuana (aOR:3.95, 95%CI: 2.39, 6.51). Discussion There are differences drugged driving by sexual orientation across the three substances we assessed. These rates of substance use among older sexual minority adults warrant ongoing concern, and it is critical to consider differences across the life course in designing and evaluating interventions to address inequities.

Deterring the Drunk Driver: An Examination of Conditional Deterrence and Self-Reported Drunk Driving

This project uses a representative U.S. population sample and Generalized Structural Equation Modeling (GSEM) to explore the deterrence of driving under the influence (DUI) and it’s moderation by the differential deterrability of problem and non-problem drinkers. As hypothesized, the results indicate that personal and vicarious experiences with punishment and punishment avoidance were significant predictors of punishment certainty and self-reported DUI. Significant heterogeneity in both the formulation of perceived certainty of punishment and the relationship between this perception and DUI also exists between problem and non-problem drinkers. Most notably, certainty of punishment was a more robust negative predictor of DUI offending for problem drinkers, and prior punishment appears to have little effect on perceptions of punishment certainty for problem drinkers.

Driving under the influence: a multi-center evaluation of vehicular crashes in the era of cannabis legalization

BackgroundEleven states have instituted laws allowing recreational cannabis use leading to growing public health concerns surrounding the effects of cannabis intoxication on driving safety. We hypothesized that after the 2016 legalization of cannabis in California, the use among vehicular injury patients would increase and be associated with increased injury severity.MethodsSan Diego County’s five adult trauma center registries in were queried from January 2010 to June 2018 for motor vehicle or motorcycle crash patients with completed toxicology screens. Patients were stratified as toxicology negative (TOX−), positive for only THC (THC+), only blood alcohol >0.08% (ETOH+), THC+ETOH, or THC+ with any combination with methamphetamine or cocaine (M/C). County medical examiner data were reviewed to characterize THC use in those with deaths at the scene of injury.ResultsOf the 11,491 patients identified, there were 61.6% TOX−, 11.7% THC+, 13.7% ETOH+, 5.0% THC+ETOH, and 7.9% M/C. THC+ increased from 7.3% to 14.8% over the study period and peaked at 14.9% post-legalization in 2017. Compared with TOX− patients, THC+ patients were more likely to be male and younger. THC+ patients were also less likely to wear seatbelts (8.5% vs 14.3%, p<0.001) and had increased mean Injury Severity Score (8.4±9.4 vs 9.0±9.9, p<0.001) when compared with TOX− patients. There was no difference in in-hospital mortality between groups. From the medical examiner data of the 777 deaths on scene, 27% were THC+.DiscussionTHC+ toxicology screens in vehicular injury patients peaked after the 2016 legalization of cannabis. Public education on the risks of driving under the influence of cannabis should be a component of injury prevention initiatives.Level of evidenceIII, Prognostic

An Empirical Investigation of Violence Against Women in the NFL

The purpose of this study was to examine violence against women (VAW) in the National Football League (NFL). Since Ray Rice assaulted his partner on video, VAW by NFL players has received more public attention. However, there is little empirical research that examines VAW in the NFL and player suspensions compared to other violations. Data come from a public list of 176 NFL players known to have violated NFL policies from 2010–2019. Four major types of violations were found: VAW included sexual assault, rape, and domestic violence; general violent behaviors included assault or battery; drug-related offenses included substance abuse, alcohol, driving under the influence (DUI's), illegal drugs, and performance-enhancing drugs (PEDs); and minor sports-related infractions included issues such as missing a team meeting. The average number of game suspensions was 4.08 for VAW offenses, 1.75 for general violent offenses, 4.05 for drug-related offenses and 1.88 for minor infractions. We found no differences in the number of game suspensions for drug-related offenses compared to VAW; general violent offenses had even fewer suspensions. These numbers are contradictory to the NFL's Personal Conduct Policy of a 6-game suspension without pay for VAW and general violence.

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.

Alterations in Electroencephalography Theta as Candidate Biomarkers of Acute Cannabis Intoxication

The trend toward cannabis legalization in the United States over the past two decades has unsurprisingly been accompanied by an increase in the number of cannabis users and use patterns that potentially pose wider risks to the public like driving under the influence. As such, it is becoming increasingly important to develop methods to accurately quantify cannabis intoxication and its associated impairments on cognitive and motor function. Electroencephalography (EEG) offers a non-invasive method for quantitatively assessing neurophysiological biomarkers of intoxication and impairment with a high degree of temporal resolution. Twelve healthy, young recreational cannabis users completed a series of neurocognitive tasks with concurrent EEG acquisition using the ABM STAT X24 EEG headset in a within-subject counterbalanced design. The 1-h testbed consisted of resting state tasks and tests of attention and memory. Spectral densities were computed for resting state tasks, and event-related potentials (ERPs) were obtained for the attention and memory tasks. Theta band power (3–5 Hz) was decreased during cannabis intoxication compared to placebo during resting state tasks, as were average P400 and late positive potential (LPP) amplitudes during attention and memory tasks. Cannabis intoxication was also associated with elevated frontal coherence and diminished anterior–posterior coherence in the Theta frequency band. This work highlights the utility of EEG to identify and quantify neurophysiological biomarkers from recordings obtained during a short neurocognitive testbed as a method for profiling cannabis intoxication. These biomarkers may prove efficacious in distinguishing intoxicated from non-intoxicated individuals in lab and real-world settings.