Nonfatal Bicycle Accident Risk After an Evening of Alcohol Consumption

Cycling under the influence of alcohol-criminal offenses in a German metropolis

Introduction

Real or simulated cycling tests under the influence of alcohol might be biased by laboratory settings. Accident analyses consider incidents with injuries only. Herein, criminal offenses consisting of drunk cycling are evaluated in detail to fill this gap.

Material and methods

All police-recorded cases of cycling under the influence of alcohol that took place in Düsseldorf, Germany, from 2009 to 2018 were identified. A total of 388 respective prosecutor’s files were available for analyses.

Results

Mean blood alcohol concentrations were approximately 2 g/kg in both men and women. Men were overrepresented (6:1). Almost 60% of the cases were recorded between Friday and Sunday (the “weekend”). The average blood alcohol concentration (BAC) at night (01:00–05:59) was 0.39 g/kg lower than that during the day (06:00–17:59). Drinking after cycling allegations appear almost irrelevant among (German) cyclists. On average, the legal outcomes show 33 daily rates (median: 30). Additionally, the presented data raise doubts about whether the utilized medical tests or the ways in which they are carried out reliably discriminate between different grades of intoxication. Negative tests did not exclude high BACs, nor did positive tests correlate well with BACs.

Discussion/Conclusion

In practice, CUI is seen with BACs above 1.60 g/kg in most cases. BACs below 1.60 g/kg either seem to be a minor problem or they have been incompletely addressed thus far. In summary, to be prosecuted, drunk cyclists have to ride their bikes in either a highly insecure or rude manner or they must cause an accident.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00414-022-02828-8.

Risk-taking behaviors of e-scooter users: A survey in Paris

Risk-taking behavior is often held responsible for increased crash involvement. We designed and undertook a face-to-face road survey (N = 459) in order to explore incident involvement history, driving attitudes and perceived risk among e-scooter users is Paris, France. Three risk factors were specifically explored: (i) riding after having consumed alcohol, (ii) riding after having consumed drugs, and (iii) using the smartphone while riding. The relationship between these factors and user attributes (such as age and gender) and travel behavior (such as frequency of e-scooter usage and trip duration) was examined using logit and mixed logit specifications and a structural equation model. Empirical evidence suggests that it is more likely for young and male riders to develop risky behaviors. Longer trip durations seem to be associated with risk-taking behaviors.

Impact of alcohol and drug use on bicycle and electric scooter injuries and hospital admissions in the United States

Introduction

Bicycles and electric scooters (e-scooters) are convenient and accessible means of transportation. Participant safety is contingent on available infrastructure and safe riding practices including not riding while intoxicated. Understanding national prevalence and injury characteristics of bicycle and e-scooter riders who ride while intoxicated may promote awareness campaigns for safe riding practices and decrease morbidity.

Methods

The National Electronic Injury Surveillance System (NEISS) provides national estimates of injuries that present to emergency departments across the United States. We obtained case information on admitting status, body part injured, diagnosis of injury, age, sex, alcohol usage, and drug usage. We then queried NEISS for injuries related to bicycles and e-scooters in 2019.

Results

A weighted total of 270,571 (95% confidence interval (CI): 204,517–336,625) bicycle injuries occurred in the United States during 2019; alcohol and drug use were associated with 7% (95% CI: 6–9) and 2% (95% CI: 2–3) of all injuries, respectively. Twenty-four percent (CI: 18--31) of alcohol- and 29% (95% CI: 20–41) of drug-related bicycle injuries resulted in hospital admissions, compared to 15% (95% CI: 12–17) of non–alcohol- and 15% (95% CI: 13–18) of non–drug-related injuries ( p < .001 and p = .002, respectively). A total of 28,702 (95% CI: 13,975–43,428) e-scooter injuries occurred in 2019; alcohol and drug use were associated with 8% (95% CI: 5–12) and 1% (95% CI: 1–2) of injuries, respectively. Sixty percent (95% CI: 47–72) of alcohol-related e-scooter injuries resulted in head trauma, compared to 28% (95% CI: 24–32) of non–alcohol-related injuries ( p < .001).

Conclusions

Intoxication is associated with increasingly severe injuries, hospital admissions, and head trauma in bicycle and e-scooter riders. The findings support awareness campaigns to educate riders about risky practices, improve non-auto infrastructure, and promote helmet usage.

The Alcohol Hangover Research Group: Ten Years of Progress in Research on the Causes, Consequences, and Treatment of the Alcohol Hangover

The alcohol hangover is defined as the combination of negative mental and physical symptoms, which can be experienced after a single episode of alcohol consumption, starting when blood alcohol concentration (BAC) approaches zero. Here, we present the book "The alcohol hangover: causes, consequences, and treatment", written to celebrate the 10th anniversary of the Alcohol Hangover Research Group (AHRG), summarizing recent advances in the field of alcohol hangover research.

Framing in Entertainment-Education: Effects on Processes of Narrative Persuasion

Nowadays, entertainment-education (E-E) is often used as a persuasive strategy to stimulate prosocial behavior. Although E-E is mostly regarded as a persuasive strategy in itself, in an increasing number of E-E programs several persuasive strategies are used to communicate the educational message to the audience. This study investigates the effects of a strategy widely used in health communication, but not previously studied in the field of E-E: framing. To this means we examined the effect of two different ways an E-E message can be framed: by emphasizing either the losses of not performing the behavior in question or the gains of performing this behavior. A serial multiple mediation model showed that framing affected intention to refrain from drunk cycling via counterarguing and attitude toward drunk cycling; the use of a gain frame decreased counterarguing, which decreased the attitude toward drunk cycling. This subsequently resulted in a higher intention to refrain from this behavior. Implications of these results are discussed.

Road accidents involving bicycles: configurations and injuries

This study analyzed the most common types of accident involving bicycles and compared the frequency of injuries. The data source was the database of German In-Depth Accident Study (GIDAS). Cases consist of bicycles and their riders involved in accidents between 2000 and 2010. In most collisions, the bicycle impacted with a car. The percentage of injured bicyclists was higher in collisions with a heavy vehicle and decreased when the bicycle impacted with lighter vehicles. A high percentage of injured bicyclists in single accidents was observed; the most severe injury was more frequently to head and extremities. Accidents involving a car and a bicycle with the right of way in a bicycle path represented about 20% of involved and injured bicyclists. The ten most frequent configurations represented about 60% of involved and injured bicyclists. These results contribute to understand the dangerous scenarios for bicyclists and to suggest preventive actions.

Alcohol consumption, helmet use and head trauma in cycling collisions in Germany

Cycling, being easy, inexpensive and healthy, is becoming one of the most popular means of transport. Cyclists, however, are among the most vulnerable road users in traffic collisions. The aims of this study were to establish which cyclist and cycling accident characteristics are associated with alcohol consumption and helmet use in Germany and to identify risk factors related to head trauma sustained in cycling accidents. The source used for the present analysis was the database of the German in-depth accident study (GIDAS). All cyclists who had been involved in a road accident between 2000 and 2010 and submitted to an alcohol test were selected. Logistic regression analyses were carried out to evaluate various aspects: alcohol consumption, helmet use, head trauma, and cyclist/accident characteristics. Female riders were less likely to have consumed alcohol (OR=0.23, 95% CI: 0.08-0.66); cyclists who did not wear a helmet were more likely to have consumed alcohol (OR=2.41, 95% CI: 1.08-5.38); cyclists who were not responsible for the collision were less likely to have consumed alcohol than those who were partially responsible for the accident (OR=0.22, 95% CI: 0.08-0.61). Cyclists involved in collisions with another vehicle, motorised or not, had a lower risk of suffering a head injury compared with those involved in single-vehicle accidents (OR=0.27, 95% CI: 0.12-0.62, and OR=0.08, 95% CI: 0.03-0.22, respectively). The prevention or limiting of alcohol consumption among cyclists and the corresponding testing of cyclists must be improved. Training initiatives on helmet protection should be encouraged.

Next day effects of naturalistic alcohol consumption on tasks of attention

OBJECTIVES

The aim of this study was to examine the next day effects of alcohol consumption on a range of attention tasks.

METHODS

The study followed a counterbalanced repeated measure design, with participants tested the morning following normal/usual alcohol consumption and again the morning after no alcohol consumption. Participants were 48 social drinkers (15 men and 33 women), who performed attention tests at 9 am, 11 am, or 1 pm. Performance was assessed by tasks measuring sustained attention, divided attention, selective attention, and spatial attention and by the Stroop test.

RESULTS

The morning after alcohol consumption, a significantly higher proportion of missed targets was observed (F(1, 40) = 6.43, p < 0.05) in the sustained attention task. In the Stroop test, participants responded significantly slower (F(1, 42) = 8.72, p < 0.005) in the interference condition (when naming the color of the ink of the words) the morning after alcohol consumption. In the selective attention task, the consumption of alcohol the night before eliminated the robust distance by compatibility interaction, which was observed the morning after no alcohol consumption (F(1, 43) = 10.41, p < 0.01). No influence of alcohol was observed in the divided attention test nor in the spatial attention task.

CONCLUSION

Alcohol consumption has a negative impact on some but not all facets of attentional processing the morning after a normal nights drinking.