Driver's license, head protection devices and severity of motorcyclists' injuries in traffic accidents.

OBJECTIVES: to describe traffic accidents involving motorcyclists and analyze the association between possession of a motorcycle driver's license and use of helmets according to the severity of injuries. METHODS: a cross-sectional study was conducted among all patients hospitalized in the traumatology and orthopedics sector of a public reference hospital in northeastern Brazil. RESULTS: 170 patients were surveyed, the majority were male (95.9%). Their ages ranged from 18 to 67 years. Most were black or brown (52.3%), had completed elementary school (58.9%) and had monthly income smaller than two minimum wages (56.5%). An association was found between being licensed to drive a motorcycle and wearing a helmet. Among those who suffered moderate injuries, this association was OR=5.66(1.85-17.23) and among those who suffered severe injuries it was OR=13.57(2.82-65.14). CONCLUSIONS: people who were licensed to drive motorcycles used a helmet as protective equipment more often and, in accidents, suffered fewer injuries.

Injuries With Electric vs Conventional Scooters and Bicycles.

Importance: Micromobility, the use of small vehicles (primarily scooters and bicycles), has become a standard transportation method in the US. Despite broad adoption of electric micromobility vehicles, there is a paucity of data regarding the injury profiles of these vehicles, particularly in the US. Objective: To characterize micromobility injury trends in the US, identify demographic characteristic differences in users of electric and conventional vehicles, and identify factors associated with hospitalization. Design, Setting, and Participants: This cross-sectional study queried the National Electronic Injury Surveillance System, a comprehensive database that collates injury data associated with consumer products from emergency departments across the US to provide national estimates, from calendar year 2017 to 2022. Data on micromobility vehicle injuries (bicycles, scooters, electric bicycles [e-bicycles], and electric scooters [e-scooters]) were obtained. Main Outcomes and Measures: Trends in injury and hospitalization counts, injury characteristics, and factors associated with hospitalization. Results: From 2017 to 2022, the US recorded 2 499 843 bicycle (95% CI, 1 948 539-3 051 147), 304 783 scooter (95% CI, 232 466-377 099), 45 586 e-bicycle (95% CI, 17 684-73 488), and 189 517 e-scooter (95% CI, 126 101-252 932) injuries. The median age of the riders was 28 (IQR, 12-51) years; 72% were male, 1.5% Asian, 13% Black, 12% Hispanic, and 49% White. Annual e-bicycle and e-scooter injuries increased from 751 (95% CI, 0-1586) to 23 493 (95% CI, 11 043-35 944) and injuries increased from 8566 (95% CI, 5522-11 611) to 56 847 (95% CI, 39 673-74 022). Compared with conventional vehicles, electric vehicle accidents involved older individuals (median age, 31 vs 27 years; P < .001) and a higher proportion of Black riders (25% vs 12%; P < .001). Helmet use was less in electric vehicle incidents compared with conventional vehicles (43% vs 52%; P = .02), and injuries were more common in urban settings (83% vs 71%; P = .008). Age-adjusted odds of hospitalization among all Black individuals compared with White individuals was 0.76 (95% CI, 0.59-0.98; P = .04). Conclusions and Relevance: In this cross-sectional study of micromobility vehicles, an increased number of injuries and hospitalizations was observed with electric vehicles compared with conventional vehicles from 2017 to 2022. These findings suggest the need for change in educational policies, infrastructure, and law to recenter on safety with the use of micromobility vehicles.

Analyzing the Prevalence of and Factors Associated with Road Traffic Crashes (RTCs) among Motorcyclists in Bangladesh.

Methods: A cross-sectional survey was conducted using a structured questionnaire involving 402 motorcyclists from four major southeastern towns, comprising 350 (86.07%) males and 52 (12.93%) females. The chi-square test was applied in bivariate analysis, and binary multivariable logistic regression was performed to determine the risk factors of road traffic crashes. Results: This study's findings revealed that the overall reported prevalence of road traffic crashes involving motorcycle drivers over one year was 68.66%. Multivariable logistic regression analysis revealed several factors that significantly impacted road traffic crashes. These factors included driving without a valid driving license, the young age (<20) of motorcyclists, driving in rainy weather, exceeding the speed limit, per-week working hours, smoking status, motorcycle ownership, the brand of motorcycle, and not wearing a helmet while driving. Conclusion: The study findings highlight the need for improving motorcycle safety by implementing measures such as imposing per-week work hour limits for riders, enforcing traffic regulations, and promoting helmet use among motorcycle drivers. The results of this study draw attention to the Bangladesh Road Transport Authority (BRTA) and motorcycle drivers in the country to decrease motorcycle crashes and the severity of injuries by implementing efficient guidelines and strategies for driving motorcycles. The findings of this study can assist policymakers and concerned authorities in taking the essential steps to lessen road traffic crashes among motorcyclists in Bangladesh.

Factors associated with work-related musculoskeletal disorders in commercial motorcyclists.

This study aimed to explore the prevalence of work-related musculoskeletal disorders (WMSDs) and to investigate factors associated with WMSDs in commercial motorcyclists in Indonesia. This cross-sectional study involved commercial motorcyclists operating in Indonesia. Data were collected using an anonymous questionnaire, including the Indonesian Version of the Nordic Musculoskeletal Questionnaire, occupational driving posture questionnaire, and occupational factor-related questions. The questionnaire was distributed at four rest stops located in Central Jakarta, Indonesia. The result showed that 40% of participants (129/322) were having WMSDs. Older age, overweight body mass index (BMI), obese body mass index, nonregular physical activity, driving duration (> 8 h/day), seniority (≥5 years), and poor driving posture were significant risk factors for WMSDs in commercial motorcyclists. Based on the risk factors identified in this study, the development of preventive strategies among commercial motorcyclists is warranted.

Characteristics and Injury Patterns in Traumatic Brain Injury Related to E-Scooter Use in Riga, Latvia: Multicenter Case Series.

Background and Objectives: In recent years, electronic scooters (e-scooters) have gained popularity, whether for private use or as a publicly available transportation method. With the introduction of these vehicles, reports of e-scooter-related accidents have surged, sparking public debate and concern. The aim of this study was to analyze the epidemiological data, characteristics, and severity of traumatic brain injury (TBI) related to e-scooter accidents. Materials and Methods: This retrospective case series evaluated patients who were admitted to the three largest neurosurgery clinics in Riga, Latvia, from the time period of April to October in two separate years-2022 and 2023-after e-scooter-related accidents. The data were collected on patient demographics, the time of the accident, alcohol consumption, helmet use, the type of TBI, other related injuries, and the treatment and assessment at discharge. Results: A total of 28 patients were admitted with TBI related to e-scooter use, with a median age of 30 years (Q1-Q3, 20.25-37.25), four individuals under the age of 18, and the majority (64%) being male. In 23 cases, the injury mechanism was falling, in 5 cases, collision. None were wearing a helmet at the time of the injury. Alcohol intoxication was evident in over half of the patients (51.5%), with severe intoxication (>1.2 g/L) in 75% of cases among them. Neurological symptoms upon admission were noted in 50% of cases. All patients had intracranial trauma: 50% had brain contusions, 43% traumatic subdural hematoma, and almost 30% epidural hematoma. Craniofacial fractures were evident in 71% of cases, and there were fractures in other parts of body in three patients. Six patients required emergency neurosurgical intervention. Neurological complications were noted in two patients; one patient died. Conclusions: e-scooter-related accidents result in a significant number of brain and other associated injuries, with notable frequency linked to alcohol influence and a lack of helmet use. Prevention campaigns to raise the awareness of potential risks and the implementation of more strict regulations should be conducted.

The prevalence of helmet use in motorcyclists around the world: a systematic review and meta-analysis of 5,006,476 participants.

Road traffic injuries present a significant public health burden, especially in developing countries. This systematic review and meta-analysis synthesized global evidence on motorcycle helmet use prevalence by including 299 records across 249 articles involving 5,006,476 participants from 1982 to 2022. The findings revealed a declining trend in helmet use prevalence over the past four decades, with an overall prevalence of 48.71%. The meta-regression analysis did not find any statistically significant change in the overall prevalence. Subgroup analysis showed higher helmet use prevalence in observation/survey records (54.29%) compared to crashed patient records (44.84%). Riders/Motorcyclists demonstrated a higher likelihood of wearing helmets than passengers in both observation/survey records (62.61 vs. 28.23%) and crashed patient records (47.76 vs. 26.61%). Countries with mandatory helmet use laws had higher helmet usage prevalence compared to those without (52.26 vs. 37.21%). The African continent had the lowest helmet use rates, while Latin America and the Caribbean regions had higher rates. This study provides a comprehensive overview of global helmet use prevalence, emphasizing disparities between high and low-income countries, variations in law enforcement, and trends over four decades. Targeted interventions are necessary to improve helmet-wearing habits, especially among passengers and regions with low usage rates. Effective legislation and awareness campaigns are crucial for promoting helmet use and reducing road traffic injuries burden.

Risk of road traffic injury in Norway 1970-2022.

This paper describes changes in the risk of road traffic injury in Norway during the period from 1970 to 2022. During this period, the risk of fatal and personal injury declined by more than 70 % for most groups of road users. There are five main potential explanations of a decline in the risk of injury: (1) a reduced probability of accidents that have the potential for causing injury; (2) an improved protection against injury given that an accident has occurred; (3) improved medical care increasing the survival rate, given an injury (this would reduce the number of fatalities, but not the number of injuries); (4) a tendency for the reporting of injuries in official accident statistics to decline over time; (5) uncertain or erroneous estimates of the exposure to the risk of injury. The decline in the risk of road traffic injuries in Norway after 1970 can probably be attributed to a combination of reduced reporting of injuries in official statistics, improved protection against injury in accidents, and (for fatal injuries) improved medical care. Insurance data, available from 1992, do not indicate a reduction in the risk of accidents leading to insurance claims. Incomplete and possibly erroneous data for mopeds and motorcycles make it impossible to identify sources of changes in injury risk over time for these modes of transport.

Overview of road traffic injuries among migrant workers in Guangzhou, China, from 2017 to 2021.

INTRODUCTION: There are many migrant workers in China's first-tier cities, but little is known about road safety. This paper systematically analysed road traffic injuries and risk factors among migrant workers in Guangzhou, China. METHODS: Road traffic crash data from 2017 to 2021 were obtained from the Guangzhou Public Security Traffic Management Integrated System. We plotted the crash network of road users in road traffic crashes and used logistic regression to analyse the risk factors for migrant workers of motorcycle and four-wheeled vehicle crashes. Moreover, the roles of migrant workers and control individuals as perpetrators in road traffic crashes were also analysed. RESULTS: Between 2017 and 2021, 76% of road traffic injuries were migrant workers in Guangzhou. Migrant workers who were motorcyclist drivers most commonly experienced road traffic injuries. Crashes between motorcyclists and car occupants were the most common. The illegal behaviours of migrant worker motorcyclists were closely related to casualties, with driving without a licence only and driving without a licence and drunk driving accounting for the greatest number. Migrant workers were responsible for many injuries of other road users. Motorcycle drivers have a higher proportion of drunk driving. DISCUSSION: Migrant workers play an important role in road traffic safety. They were both the leading source of road traffic injuries and the main perpetrators of road traffic crashes. Measures such as strict requirements for migrant workers to drive motorcycles with licences, prohibit drunk driving, greater publicity of road safety regulations, and combining compulsory education with punishment for illegal behaviours.

Mortalidad en accidentes por moto en Venezuela, y su relación con Políticas Públicas de seguridad vial y preventiva,1996-2018 / Mortality in motorcycle accidents in Venezuela and relationship with public road safety and preventive policies, 1996 - 2018

Los accidentes de tránsito son un problema de salud pública de gran magnitud y gravedad, en las Américas; Venezuela ocupa un lugar destacado por su alta incidencia. El objetivo de la investigación es establecer la relación entre las políticas públicas para la prevención de los accidentes de motocicletas, y las tasas de mortalidad. Metodología: Estudio documental retrospectivo de las políticas viales y las tasas de mortalidad específicas de lesionados por accidentes de motocicletas en Venezuela durante el período 1996-2018. Resultados: como causa de muerte en Venezuela (2000-2018), representa casi 7% del total, entre 6 a 50% del total de las muertes por accidentes de tránsito terrestre y se mantiene muy alta al final del período, con fallecidos por motocicletas sobre 25%. La elevación de la curva endémica de mortalidad ocurrió simultáneamente al aumento en la producción e importación de motocicletas, y cayó durante la crisis económica, en el año 2014. La legislación actualizada mas no acatada en esta materia, es notoria Conclusiones: Los accidentes de motocicleta son un problema de salud pública de primer orden en Venezuela asociadas al clima económico y social, las tasas de mortalidad tuvieron su máxima meseta de elevación durante la bonanza petrolera 2005-2013. Las políticas asociadas a la prevención de accidentes viales en moto están fragmentadas, son ineficientes y reactivas a situaciones complejas, deficientemente aplicadas por los organismos de tránsito responsables a escala nacional, regional y municipal.

Introduction. Traffic accidents are a public health problem of great magnitude and gravity in the Americas; Venezuela occupies a prominent place for its high incidence. The objective of the research is to establish the relationship between public policies for the prevention of motorcycle accidents, and mortality rates. Methodology: Retrospective documentary study of road policies and specific mortality rates of those injured by motorcycle accidents in Venezuela during the period 1996-2018. Descriptive statistical analysis with trend lines, frequency distributions and annual average rates. Results: cause of death in Venezuela (2000-2018), represents almost 7% of the total. The burden of motorcycle injury deaths represents between 6 to 50% of total road traffic fatalities and remains very high at the end of the period, with motorcycle fatalities over 25%. The elevation of the endemic mortality curve occurred simultaneously with the increase in the production and import of motorcycles, and fell concomitantly with the economic crisis in 2014. Conclusions: Motorcycle accidents are a public health problem of the first order in Venezuela associated with the economic and social climate, mortality rates had their maximum plateau of elevation during the oil economic boom 2005-2013. The policies associated with the prevention of road accidents by motorcycle are fragmented, inefficient and reactive to complex situations and poorly applied by the responsible traffic agencies at national, regional and municipal level.

Helmet wearing behavior where people often ride motorcycle in Ethiopia: A cross-sectional study.

BACKGROUND: Road traffic accidents are a major global concern that affects all people regardless of their age, sex, wealth, and ethnicity. Injuries and deaths due to motorcycles are increasing, especially in developing countries. Wearing helmet is effective in reducing deaths and injuries caused by motorcycle accidents. OBJECTIVES: To assess the magnitude of helmet wearing behavior and its determinants among motorcycle riders in Sawula and Bulky towns, Gofa zone, Southern Ethiopia. METHODS: A community-based cross-sectional study was conducted from April, 15 to May 25, 2020, among 422 motorcycle drivers in Sawula and Bulky towns, where people often drive motorcycles. A stratified sampling technique was used to recruit sampled drivers in a face-to-face interview. Data were entered into EPI-data version 3.1 software and exported to SPSS version 23 software to manage analysis. Descriptive analyses such as frequency, percentage, mean and standard deviation were performed as necessary. Logistic regression models were fitted to identify the predictors of helmet wearing behavior. Adjusted odds ratios (AOR) with 95% confidence interval (CI) were used to determine the magnitude and strength of the association. RESULTS: A total of 403 motorcycle drivers participated in the study which gave a 95.5% response rate. Among 403 motorcycle riders, only 12.4% (95% CI, 9.2 to 15.6%) wore helmets while driving motorcycles. Having license [AOR 3.51(95% C.I 1.56-7.89)], driving distance >10Km [AOR 2.53(95% C.I 1.08-5.91)], History of exposure to accident [AOR 2.71(95% C.I 1.32-5.55)], driving experience of ≥10 years [AOR 2.98 (95% C.I 1.25-7.09)] and high perceived susceptibility to accident [AOR 3.10(95% C.I 1.29-7.46)] had statistically significant association with helmet wearing compared to their counterparts. CONCLUSIONS: This study found that helmet-wearing behavior was very low. Having a license, driving distance, exposure to accidents, driving experience, and accident risk perception were determinants of helmet wearing behavior. These determinants imply the need for interventions that focus on behavioral change communications such as awareness creation campaigns and mandatory helmet wearing laws.

Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.

Pretimed signalized intersection is known as a common source of congestion, especially in urban heterogeneous traffic. Furthermore, the accuracy of saturation flow rate is found to cause efficient and vital capacity estimation, in order to ensure optimal design and operation of the signal timings. Presently, the traffic also consists of diverse vehicle presence, each with its own static and dynamic characteristics. The passenger car equivalent (PCE) in an essential unit is also used to measure heterogenous traffic into the PCU (Passenger Car Unit). Based on the collection of observed data at three targets in Banda Aceh City, this study aims to redetermine the PCEs by using Bayesian linear regression, through the Random-walk Metropolis-Hastings and Gibbs sampling. The result showed that the obtained PCE values were 0.24, 1.0, and 0.80 for motorcycle (MC), passenger car (PC), and motorized rickshaw (MR), respectively. It also showed that a significant deviation was found between new and IHCM PCEs, as the source of error was partially due to the vehicle compositions. The present traffic characteristics were also substantially different from the prevailing conditions of IHCM 1997. Therefore, the proposed PCEs enhanced the accuracy of base saturation flow prediction, provided support for traffic operation design, alleviated congestion, and reduced delay within the city, which in turn improved the estimation of signalized intersection capacity.

Loss of years of healthy life due to road incidents of motorcyclists in the city of Medellin, 2012 to 2015.

OBJECTIVE: Determine the loss of years of healthy life due to road incidents of motorcyclists in the city of Medellin from 2012 to 2015. METHODS: Descriptive study with data on health care of injured motorcyclists and deaths adjusted with the Preston and Coale method, and OPS proportional distribution for the period 2012-2015. The years of life lost due to premature death (YLLs), years lived with disability (YLDs), and the disability-adjusted life years (DALYs) were calculated according to the new methodology designed for that purpose. RESULTS: The loss of years of healthy life due to road incidents of motorcyclists in the four-year period was 80,046 DALYs (823.8 per 100,000 inhabitants), with a higher proportion in men (81.3% and a ratio of 5 to 1 compared to women); the YLDs was 66.6% with marked differences in favor of men. There was nearly a 38% difference in the ages of 15 to 19 as well as a 19% difference from 30 to 49, compared to women. Premature death (YLLs) contributed to 33.4% of DALYs, with significant presentation in the above-mentioned age groups. CONCLUSIONS: The greatest loss of years of healthy life due to road incidents of motorcyclists in Medellin was due to non-fatal injuries and was concentrated in young men. If the trend of motorcycle road incidents continues, both local and national road safety plans will fail to accomplish the expected results, especially among motorcycle users.

Effect of COVID-19 on epidemiological characteristics of road traffic injuries in Suzhou: a retrospective study.

BACKGROUND: To present the new trends in epidemiology of road traffic injuries (RTIs) during the Coronavirus disease 2019 (COVID-19) pandemic in Suzhou. METHODS: Pre-hospital records of RTIs from January to May in 2020 and the same period in 2019 were obtained from the database of Suzhou pre-hospital emergency center, Jiangsu, China. Data were extracted for analysis, including demographic characteristics, pre-hospital vital signs, transport, shock index, consciousness, pre-hospital death. A retrospective study comparing epidemiological characteristics of RTIs in Suzhou during the 5-month period in 2020 to the parallel period in 2019 was performed. RESULTS: A total of 7288 RTIs in 2020 and 8869 in 2019 met inclusion criteria. The overall volume of RTIs has statistical difference between the 2 years (p < 0.001), with fewer RTIs in 2020 compared with 2019. Electric bicycle related RTIs increased during the pandemic (2641, 36.24% vs 2380, 26.84%, p < 0.001), with a higher incidence of RTIs with disorder of consciousness (DOC) (7.22% vs 6.13%, p = 0.006). CONCLUSIONS: Under the impact of COVID-19, the total number of RTIs in Suzhou from January to May 2020 decreased. This observation was coupled with a rise in electric bicycle related injuries and an increase in the incidence of RTIs with DOC.

Epidemiology of Fractures Sustained During Electric Scooter Accidents: A Retrospective Review of 563 Cases.

BACKGROUND: The use of electric scooters (e-scooters) has dramatically increased as they become an attractive alternative for public transportation in busy metropolitan areas worldwide. Despite their benefits, e-scooters challenge the health-care system with poorly understood forms of injuries, mainly orthopaedic fractures. To our knowledge, this study is the first to investigate e-scooter-related orthopaedic fracture patterns, mechanisms of injury, and management. METHODS: Data on 3,331 e-scooter-related admissions were retrospectively collected between May 2017 and February 2020 in a level-I trauma center. These admissions were analyzed for demographic variables, orthopaedic fracture diagnosis (using the AO/OTA classification), associated injuries, and surgical treatment. RESULTS: During the study period, a total of 716 fractures were diagnosed in 563 patients, with 46.4% of the patients requiring hospitalization. Of 492 upper-limb fractures, 89.2% occurred in a rider fall mechanism; and of 210 lower-limb fractures, 15.7% occurred in rider-vehicle collisions. Fifty-nine percent of long bone fractures were complex fragmentary and/or intra-articular fractures. Orthopaedic surgeons recommended that 225 fractures undergo surgical treatment. The most common upper-limb fracture was AO/OTA class 2R1A, with open reduction and internal fixation of the distal part of the radius being the most common upper-limb procedure (n = 58). The most common lower-limb fracture was AO/OTA class 41C, with open reduction and internal fixation of the proximal part of the tibia being the most common procedure (n = 28). A total of 22 patients (3.9%) required reoperation within 1 year. CONCLUSIONS: This investigation provides unique information on demographic characteristics, patterns, and treatment of orthopaedic fractures secondary to the high-energy mechanism of e-scooter injuries. These new in-depth data are important, first, for health-care system preparedness with regard to management and resource allocation to treat these challenging injuries and, second, for legislators promoting safety and injury prevention strategies.

Blunt adrenal gland injury: The impact of extra-abdominal injury.

BACKGROUND: Blunt adrenal gland injuries are considered uncommon. Moreover, the factors associated with the mechanisms of the injury following blunt trauma are unclear. In this study, we determined the factors associated with blunt adrenal gland injury (BAGI). MATERIALS AND METHODS: A total of 315 patients with blunt abdominal trauma were admitted to our institution during a 12-year period. After excluding 26 patients who were under 18 years old and 27 patients who were in cardiopulmonary arrest on arrival, 262 eligible patients were retrospectively reviewed. Patient characteristics, mechanism of injury, intervention, and associated organ injuries were compared between those with and without BAGI. RESULTS: Blunt adrenal gland injury was identified in 38 of 262 patients (14.5%). The right side was the predominant site of injury (68%). There were no differences in vital sign, in-hospital mortality, intervention, and concomitant abdominal organ injuries between those with and without adrenal gland injury. Patients with BAGI had a higher frequency of fall and motorcycle collision as mechanisms of injury. In addition, patients with BAGI had a higher injury severity score and a higher frequency of concomitant severe head, chest, and pelvic injuries. CONCLUSION: The results of the present study suggest that the deceleration injury leading to concomitant head, chest, or pelvic injuries with blunt abdominal trauma may be associated with the mechanism of BAGI. LEVEL OF EVIDENCE: Prognostic study, level IV.

The effect of motorcyclists' age on injury severities in single-motorcycle crashes with unobserved heterogeneity.

INTRODUCTION: Due to the myriad of unique characteristics associated with motorcycle operation, motorcycle safety is a public health concern as complex as it is serious. National crash data suggest motorcyclists are 28 times more likely to be killed when compared to passenger car occupants. In the state of Florida, motorcycle crashes are 1.5 times more likely to result in the death of the rider, placing Florida among the top deadliest states for motorcyclists in the nation. Using police-reported data from 2016, this study addresses the complex and interconnected nature of the many characteristics associated with motorcycle operation by investigating the effect of age on motorcyclists' riding behavior as it relates to injury severity for single-motorcycle crashes in the state of Florida. METHOD: To account for unobserved heterogeneity in the crash data, mixed logit models with heterogeneity in means and variances were estimated to model three injury severity outcomes (non-visible, severe, and fatal) for three age groups (under 30, 30-49, and 50 and above). RESULTS: Model results indicate that age affects motorcyclists' safety perception and ability to assess risks, thereby influencing their involvement in risky behaviors. Characteristics unique to motorcycle operation-spatial characteristics, speed, motorcycle type, time of day, helmet usage, alcohol consumption, ejection from motorcycle, passenger presence, endorsement status, and lighting-are further complicated by their dependency on the characteristics of the individual motorcyclist. Age of motorcyclist indicates a relationship between motorcyclists' behavior and perceived safety. CONCLUSION: The model results indicated that statistically significant parameters constituted different models and they were not equal across the age groups of motorcyclists: aged under 30, aged 30-49, and aged 50 and above. Through advanced econometric modeling, this study fills a gap in the existing literature and assists the safety professionals, motorcycle trainers, policymakers, law enforcement agencies, and roadway designers in developing countermeasures.

Severity and patterns of injury in helmeted vs. non-helmeted motorcyclists in a rural state.

INTRODUCTION: Under current law in our rural state, there is no universal requirement for motorcyclists to wear helmets. Roughly 500 motorcycle crashes are reported by the state each year and only a fraction of those riders wear helmets. We sought to determine the difference in injury patterns and severity in helmeted versus non-helmeted riders. METHODS: Retrospective review (2014-2018) of a single level 1 trauma center's registry was done for subjects admitted after a motorcycle collision. Demographic, injury and patient outcome data were collected. Patients were stratified by helmet use (n = 81), no helmet use (n = 144), and unknown helmet use (n = 194). Statistical analysis used Student's t-test or Pearson's χ2p-value ≤0.05 as significant. State Department of Transportation data registry for state level mortality and collision incidence over the same time period was also obtained. RESULTS: Of the 2,022 state-reported motorcycle collisions, 419 individuals admitted to our trauma center were analyzed (21% capture). State-reported field fatality rate regardless of helmet use was 4%. Our inpatient mortality rate was 2% with no differences between helmet uses. Helmeted riders were found to have significantly fewer head and face injuries, higher GCS, lower face, neck, thorax and abdomen AIS, fewer required mechanical ventilation, shorter ICU length of stay, and had a greater number of upper extremity injuries and higher upper extremity AIS. CONCLUSIONS: Helmeted motorcyclists have fewer head, face, and cervical spine injuries, and lower injury severities: GCS and face, neck, thorax, abdomen AIS. Helmeted riders had significantly less mechanical ventilation requirement and shorter ICU stays. Non-helmeted riders sustained worse injuries. Practical Applications: Helmets provide safety and motorcycle riders have a 34-fold higher risk of death following a crash. Evaluating injury severities and patterns in motorcycle crash victims in a rural state with no helmet laws may provide insight into changing current legislation.

Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology.

INTRODUCTION: The market share of e-scooters in the United States has proliferated in cities: 86 million trips were made on shared e-scooters in 2019, a more than 100% increase compared to 2018. However, the interaction of e-scooters with other road users and infrastructure remains uncertain. METHOD: This study scrutinized 52 e-scooter and 79 bicycle police-reported crashes in Nashville, Tennessee, from April 2018 to April 2020 from the Tennessee Integrated Traffic Analysis Network (TITAN) database. We used descriptive analysis and a recent prototype version of the Pedestrian and Bicycle Crash Analysis Tool (PBCAT) to classify crashes based on the locations of the crashes relative to roadway segments or intersections, as well as the maneuver of the motor vehicle and e-scooter/bicycle relative to the motor vehicle. RESULTS: Two crash typologies can explain the majority of e-scooter crashes, while bicycle crashes are distributed over several crash typologies. Additionally, 1 in 10 e-scooter- and bicycle-motor vehicle crashes leads to the injury or fatality of the e-scooter rider or bicyclist. Furthermore, we noted statistically significant differences in spatial and temporal distribution, demographics, lighting conditions, and crash distance from home for e-scooter and bicycle crashes. CONCLUSIONS: The police crash report provides a comprehensive picture of e-scooter safety complementing existing literature. We found that e-scooter crash characteristics do not fully overlap with features of bicycle crashes. PRACTICAL IMPLICATIONS: A generalized engineering, education, and enforcement treatment to reduce and prevent e-scooter and bicycle crashes, injuries, and fatalities might not result in equal outcomes for each mode. More rigorous enforcement could be implemented to deter e-scooters riders under the age of 18 years and e-scooter safety campaigns could target female riders.

A comparison of motorcycle instructor candidate selection practices in the United States.

INTRODUCTION: An essential aspect of motorcycle rider education is how the instructor selection process impacts student learning, sometimes referred to as the human element, as it is a significant factor influencing curriculum success. Student and program achievements are partially contingent on instructors who understand the curriculum and facilitate student learning during instruction. Previous research on motorcycle rider education has emphasized a need for the examination of instructor selection and development, stating that quality education is reliant on instructors who are competent and qualified. METHOD: By applying an exploratory study method, state and military Motorcycle Safety Education Program Managers and Instructor Trainers were examined and compared through telephonic interviews to develop a greater understanding of instructor candidate selection criteria and vetting processes. RESULTS: The results suggest that changes in instructor candidate selection systems may improve decisions about a candidate's job and organizational fit. CONCLUSIONS: Study conclusions indicate that use of multiple and thorough assessments to determine a candidate's motivation, social disposition, and emotional intelligence before preparation courses may better identify candidates and align potential job and organization fit within the discipline. Practical Application: Applications of the findings would include a standardized selection process with improved interviews and pre-course auditing, and candidate expectation management before the selection to attend preparation or certification courses. The efforts potentially decrease long-term costs and deficiencies when candidates have an inconsistent job or organizational fit, departing from organizations after short periods or by not providing consistent quality instruction to students. The study recommendations, when implemented, can improve most educational disciplines where instructors are selected for technical instructional positions where students risk injury or harm.

Motorcycle helmet selection and usage for improved safety: A systematic review on the protective effects of helmet type and fastening.

OBJECTIVE: Motorcycle helmets are the most common and effective protective device to reduce head injuries and mortality in crashes among powered two-wheeler riders. Even if they are globally recognized as effective, there are still concerns regarding their correct use, which is necessary to achieve maximum head protection. The goal of this systematic review is to assess which characteristics of helmet design and use showed a positive influence on rider safety, in order to provide insights to improve end-user helmet usage. METHODS: A literature search was carried out combining two sets of keywords, one related with either motorcycle or rider and the other referring to either protective equipment or injuries. After the exclusion of duplicates, 977 papers were screened by reviewers, thus identifying 32 papers that were analyzed in group discussions. RESULTS: Among the papers included in this study, no strong conflicting conclusions emerged in their results. The studies focusing on the use of different types of helmets highlighted that full-face helmets, compared with other standard helmets, have a positive influence on head injuries and facial injuries. Correct fastening was clearly beneficial for head and facial injuries, induced injuries, and helmet ejection. CONCLUSIONS: This systematic review provides important insights to improve the usage of helmets by end-users. Correct fastening is a crucial factor to avoid helmet roll-off during a crash. Most studies agreed that full-face helmets provide higher protection in comparison with other standard helmets, especially for facial injuries, and no negative influence with respect to neck and spinal injuries.