Relationship Between Effects of Alcohol on Psychomotor Performance and Blood Alcohol Concentrations

Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis

INTRODUCTION

Alcohol-related impairment is a key contributing factor in traffic crashes. However, only a few studies have focused on pedestrian impairment as a crash characteristic. In Louisiana, pedestrian fatalities have been increasing. From 2010 to 2016, the number of pedestrian fatalities increased by 62%. A total of 128 pedestrians were killed in traffic crashes in 2016, and 34.4% of those fatalities involved pedestrians under the influence (PUI) of drugs or alcohol. Furthermore, alcohol-PUI fatalities have increased by 120% from 2010 to 2016. There is a vital need to examine the key contributing attributes that are associated with a high number of PUI crashes.

METHOD

In this study, the research team analyzed Louisiana's traffic crash data from 2010 to 2016 by applying correspondence regression analysis to identify the key contributing attributes and association patterns based on PUI involved injury levels.

RESULTS

The findings identified five risk clusters: intersection crashes at business/industrial locations, mid-block crashes on undivided roadways at residential and business/residential locations, segment related crashes associated with a pedestrian standing in the road, open country crashes with no lighting at night, and pedestrian violation related crashes on divided roadways. The association maps identified several critical attributes that are more associated with fatal and severe PUI crashes. These attributes are dark to no lighting, open country roadways, and non-intersection locations. Practical Applications: The findings of this study may be used to help design effective mitigation strategies to reduce PUI crashes.

Walking Under the Influence : Association of Time of the Day With the Incidence and Outcomes of Intoxicated Pedestrians Struck by Vehicles

AIM

Pedestrian fatalities commonly involve alcohol. We sought to characterize alcohol intoxication among pedestrians struck by vehicles and examine correlations between admission time and injury severity.

METHODS

The Los Angeles County Trauma and Emergency Medicine Information System database was reviewed for pedestrians struck by vehicles over a 16-year period starting January 2000. Subjects aged ≥18 years with available time and day of admission were selected. Patients with available blood alcohol content (BAC) were analyzed and those with positive (+) BAC (≥ 0.01%) were compared with those with negative (-) BAC. The primary outcome was mortality.

RESULT

35 840 patients met criteria, with 12 122 (33.8%) tested for BAC. 71.2% were (+) BAC. The proportion of (+) BAC pedestrians peaked at 02:00 (48.9% of admitted pedestrians, 88.5% of BAC tested pedestrians). Patients with a (+) BAC were more likely hypotensive (3.5% vs 2.7%, P = .019) and admitted with a Glasgow Coma Scale ≤ 8 (9.4% vs 7.1%, P < .001). Overall mortality was 4.6%. Those admitted from 06:00 to 11:00 had the highest odds of mortality in (+) BAC patients (4.7%, adjusted odds ratio 3.16, adjusted P < .001).

CONCLUSION

Pedestrians struck by vehicles during late hours are commonly intoxicated. These findings could help legislators to implement changes and strategies to decrease the risk and burden of injury in intoxicated pedestrians.