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Background: Motorcycle full-coverage helmet use may reduce fatalities and head injuries.Methods: This retrospective cohort study extracted injury data from eight level-I trauma centres in Taiwan and performed a questionnaire survey to investigate injuries sustained by motorcyclists for the period between January 2015 and June 2017.Results: As many as 725 patients participated in the questionnaire survey and reported their helmet types or phone use during crashes. The results of multivariate logistic models demonstrated that nonstandard helmet (half or open-face helmet) use was associated with an increased risk of head injuries and more severe injuries (injury severity score ≥ 8). Drunk riding and phone use appeared to be two important risk factors for head injuries and increased injury severity. Anaemia was also found to be a determinant of head injuries."Conclusions: Compared to full-coverage helmets, nonstandard provide less protection against head injuries and increased injury severity among motorcyclists. [ABSTRACT FROM AUTHOR]

Abstract: Motorcyclists tend to be more vulnerable to injuries than those using other motorised vehicles and this may act synergistically with the complexity of conflicting movements between vehicles and motorcycles to increase injury severity in a junction-type accident. A junction-type crash can be more severe to motorcyclists than a non-junction case due to the fact that some of the injurious crashes such as angle crash commonly occur. Previous studies have applied crash prediction models to investigate influential factors on the occurrences of different crashes among motorised vehicles but statistical models of motorcyclist injury severity resulting from different collision types have rarely been developed. This paper develops injury severity models for different collision-types conditioned on crash occurrence at T-junctions in the UK. The ordered logit models are estimated using human, weather, road and vehicle factors as predictors and the data for the model estimation were extracted from the STATS19 accident injury database (1991–2004). The modelling results show that motorcyclist injury severity in specific crash types is associated with predictor variables in different ways. This study offers a guideline for future research, as well as insight into potential prevention strategies that might help prevent the most hazardous situation(s) from occurring in different collision types. [Copyright &y& Elsevier]

Abstract: Research has suggested that motorcyclists involved in approach-turn crashes were much more injurious than any other crash-type. This paper investigates the determinants of motorcyclist injury severity resulting from such crash types that occurred at T-junctions, with emphasis on the effects of driver''s failure to give way and various junction control measures. The ordered probit models of motorcyclist injury severity were estimated using the data extracted from the STATS19 accident injury database (1991–2004). Approach-turn collisions are categorised into two sub-crashes based on the manoeuvres motorcycles and vehicles were making prior to the collisions. The modelling results uncover several important determinants of injury severity: for example, injuries appeared to be greatest when an approaching motorcycle collided with a turning-right vehicle, and such effect was found to exacerbate injury severity when stop, give-way signs and markings controlled the junction. A turning-right driver that was identified to fail to yield to an approaching motorcyclist was also found to severely injure the motorcyclist. The findings of this study may offer guidelines for further research and provide some important preliminary evidence for the development of countermeasures that may help prevent the specific hazards from occurring. [Copyright &y& Elsevier]

Objectives. The fact that motorcycle users tend to be more vulnerable to injuries than those using other motorized vehicles may act synergistically with the complexity of conflicting movements between vehicles and motorcycles to increase injury severity in a junction-type accident. A junction-type collision tends to be more severe than a non-junction case due to the fact that some of the injurious crashes such as angle-collision commonly occur. Existing studies have applied several statistical modeling techniques to examine influential factors on the occurrences of different crashes among motorized vehicles but surprisingly very little has empirically explored whether a particular crash type, resulting from a junction-type accident, is more injurious to motorcyclists. This article attempts to investigate whether a particular collision is more deadly to motorcyclists conditioned on crash occurrence at T-junctions in the U.K., while controlling for environment, vehicle, and demographic factors. Methods. The statistical modeling technique employed is the ordered probit models using the data extracted from the STATS19 accident injury database (1999–2004). Results. The modeling found determinants of injury severity among motorcyclists at T-junctions in the U.K. For example, an approach-turn/head-on collision is much more injurious to motorcyclists; and, those riding in early morning (i.e., 0000–0659) are more likely to be severely injured. Conclusions. This study offers a guideline for future research, as well as insight into potential prevention strategies that might help moderate motorcyclist injuries. [ABSTRACT FROM AUTHOR]

• National Taiwan Traffic Crash Dataset for the period from 2011 to 2015 were used in this study. • Alcohol-involved and un-helmeted riders were approximately 18 times more likely to sustain fatal injuries than sober and helmeted riders. • The other risk factors of motorcyclist fatalities include head-on crashes and approach-turn motorcycle crashes. Alcohol-involved riders tend to engage in other risk-taking behaviours such as un-helmeted riding which could further increases injury severity. The combined effect of alcohol-involved and un-helmeted riding on fatal injuries is rarely investigated. This study investigated the interaction effect between blood alcohol concentration and helmet use on fatal injuries. This study used the National Taiwan Traffic Crash Dataset for the period from 2011 to 2015. Data on road crashes involving a motorcycle and an automobile were extracted and analysed. Multiple logistic regression models were used to calculate the adjusted odds ratio (AOR). We calculated an interaction effect for blood alcohol concentration and helmet use based on STROBE guidelines. There were a total of 669,292 motorcyclist casualties; among these casualties, 3459 (0.5 %) motorcyclists sustained fatal injuries. Alcohol-involved riders were 9.47 times (AOR = 9.47; 95 % CI = 8.75–10.25) more likely than sober ones to sustain fatal injuries. Alcohol-involved and un-helmeted riders were approximately 18 times (AOR = 18.1; CI: 15.9–20.4) more likely to sustain fatal injuries than sober and helmeted riders. Riders involved in head-on crashes and approach-turn motorcycle crashes had an increased probability of sustaining fatal injuries by 240 % (AOR = 3.4; 95 % CI = 2.91–4.09) and 132 % (AOR = 2.3; 95 % CI = 2.016–2.67), respectively. This study found that alcohol-involved riding acts synergistically with un-helmeted riding to increase motorcyclist injury severity. [ABSTRACT FROM AUTHOR]