Liz de Rome

Motorcycle protective clothing: protection from injury or just the weather?

BACKGROUND Apart from helmets, little is known about the effectiveness of motorcycle protective clothing in reducing injuries in crashes. The study aimed to quantify the association between usage of motorcycle clothing and injury in crashes. METHODS AND FINDINGS Cross-sectional analytic study. Crashed motorcyclists (n=212, 71% of identified eligible cases) were recruited through hospitals and motorcycle repair services. Data was obtained through structured face-to-face interviews. The main outcome was hospitalization and motorcycle crash-related injury. Poisson regression was used to estimate relative risk (RR) and 95% confidence intervals for injury adjusting for potential confounders. RESULTS Motorcyclists were significantly less likely to be admitted to hospital if they crashed wearing motorcycle jackets (RR=0.79, 95% CI: 0.69-0.91), pants (RR=0.49, 95% CI: 0.25-0.94), or gloves (RR=0.41, 95% CI: 0.26-0.66). When garments included fitted body armour there was a significantly reduced risk of injury to the upper body (RR=0.77, 95% CI: 0.66-0.89), hands and wrists (RR=0.55, 95% CI: 0.38-0.81), legs (RR=0.60, 95% CI: 0.40-0.90), feet and ankles (RR=0.54, 95% CI: 0.35-0.83). Non-motorcycle boots were also associated with a reduced risk of injury compared to shoes or joggers (RR=0.46, 95% CI: 0.28-0.75). No association between use of body armour and risk of fracture injuries was detected. A substantial proportion of motorcycle designed gloves (25.7%), jackets (29.7%) and pants (28.1%) were assessed to have failed due to material damage in the crash. CONCLUSIONS Motorcycle protective clothing is associated with reduced risk and severity of crash related injury and hospitalization, particularly when fitted with body armour. The proportion of clothing items that failed under crash conditions indicates a need for improved quality control. While mandating usage of protective clothing is not recommended, consideration could be given to providing incentives for usage of protective clothing, such as tax exemptions for safety gear, health insurance premium reductions and rebates.

Risk factors for severe injury in cyclists involved in traffic crashes in Victoria, Australia

This study examines the impact of cyclist, road and crash characteristics on the injury severity of cyclists involved in traffic crashes reported to the police in Victoria, Australia between 2004 and 2008. Logistic regression analysis was carried out to identify predictors of severe injury (serious injury and fatality) in cyclist crashes reported to the police. There were 6432 cyclist crashes reported to the police in Victoria between 2004 and 2008 with 2181 (33.9%) resulting in severe injury of the cyclist involved. The multivariate analysis found that factors that increase the risk of severe injury in cyclists involved in traffic crashes were age (50 years and older), not wearing a helmet, riding in the dark on unlit roads, riding on roads zoned 70 km/h or above, on curved sections of the road, in rural locations and being involved in head-on collisions as well as off path crashes, which include losing control of vehicle, and on path crashes which include striking the door of a parked vehicle. While this study did not test effectiveness of preventative measures, policy makers should consider implementation of programs that address these risk factors including helmet programs and environmental modifications such as speed reduction on roads that are frequented by cyclists.

Bicycle Crashes in Different Riding Environments in the Australian Capital Territory

Introduction: Cyclists are increasingly overrepresented in traffic crash casualties in Australia. There is evidence that better cycling infrastructure increases participation, but whether it reduces the numbers of injured cyclists is less clear. This study examined injury outcomes of crashes in different cycling environments. Methods: Adult cyclists injured on- and off-road were recruited from emergency departments from November 2009 to May 2010 in the Australian Capital Territory. Eligible participants (n = 313/372, 84.1%) were interviewed and their injury self-reports were corroborated with medical records where available. Participants who had crashed in transport-related areas (n = 202, 64.5%) are the focus of this article. Results: Participants had crashed in traffic (39.1%), in cycle lanes (7.9%), on shared paths (36.1%), and on footpaths (16.8%). Based on average weekly traffic counts, the crash involvement rate per 1000 cyclists was 11.8 on shared paths compared to 5.8 on cycle lanes. Over half of the participants (52.0%) were injured in single-vehicle bicycle crashes. The remainder involved other road users, including motor vehicles (20.8%), other bicycles (18.8%), pedestrians (6.4%), and animals (2.0%). Pedestrians were involved in 16.4 percent of crashes on shared paths. Minor injuries (Abbreviated Injury Scale [AIS] 1) were sustained by 58.4 percent of cyclists, moderately severe injuries (AIS 2) were sustained by 36.1 percent of cyclists, and 5.4 percent of cyclists were seriously injured (AIS 3+). The average treatment required was 1.8 days with 7.5 days off work and cost to the cyclist of

Cycling crashes in children, adolescents, and adults-a comparative analysis

869 excluding medical treatment. Cyclists who crashed on shared paths or in traffic had higher injury severity scores (ISS; 4.4, 4.0) compared to those in cycle lanes or on footpaths (3.3, 3.4) and required more treatment days (2.8, 1.7 versus 0.0, 0.2). Conclusions: Fewer cyclists were injured in on-road cycle lanes than in other cycling environments, and a high proportion of injuries were incurred on shared paths. This study highlights an urgent need to determine appropriate criteria and management strategies for paths classified as suitable for shared or segregated usage. Supplemental materials are available for this article. Go to the publishers online edition of Traffic Injury Prevention to view the supplemental files.

Single- versus multi-vehicle bicycle road crashes in Victoria, Australia

Objective: To compare rates, circumstances, and outcomes of cyclist crashes between children (aged 0–9 years), adolescents (aged 10–19 years), and adults (aged 20 years and over) in Victoria, Australia. Methods: A retrospective analysis of cyclist crashes in police records and the Victorian Admitted Episodes Dataset during the period 2004–2008. Results: Adolescent cyclists had the highest rates, per 100 000 people, of police-reported (32.6, 95% confidence interval [CI]: 30.7–34.5) and hospitalized cyclist crashes (71.6, 95% CI: 68.7–74.4). Police-reported helmet use at the time of the crash was lowest among children (57.1%, 95% CI: 49.5–64.8) compared to 60.2 percent (95% CI: 57.3–63.1) in adolescents and 77.7 percent (95% CI: 76.5–78.8) in adults. This was reflected in the hospital data, which indicated that more than one third of cyclist hospitalizations among children (37.4%) resulted in head injuries compared to around 1 in 4 hospitalized cyclist crashes in adolescents (26.8%) and adults (23.7%). Cyclists emerging off a footpath into the path of a vehicle as well as cyclists struck by vehicles emerging form a driveway were the most frequent types of police-reported crashes involving children (73.9%) and adolescents (48.1%). In contrast, most adult cyclist crashes occurred on the roadway, mainly at intersections. Conclusions: Programs to improve the safety knowledge and behavior of children and adolescent cyclists, particularly focusing on helmet use, should be part of a comprehensive approach that encompasses legislative and environmental changes, including appropriate cyclist facilities and reduced speed limit in residential areas.

Factors associated with motorcycle crashes in New South Wales, Australia, 2004 to 2008.

The aim of the study is to compare trends, circumstances and outcomes of single- versus multi-vehicle bicycle on-road crashes in Victoria, Australia, through the analysis of police records and hospital admissions between January 2004 and December 2008. The results show that over 80% of on-road single-vehicle bicycle crashes occurred as a result of the cyclist losing control of the bicycle with the remainder involving collisions with objects. Compared with multi-vehicle crashes, single-vehicle crashes were more likely to occur in the dark, in wet conditions and in rural areas. Over half of the cyclists hospitalised as result of on-road crashes were injured in single-vehicle crashes and this proportion seems to be increasing over time. Single-vehicle crashes were associated with hospitalised injuries as severe as those resulting from multivehicle crashes. The findings highlight the significant burden of serious injury associated with single-vehicle bicycle road crashes. Further research is needed to investigate in greater detail the risk factors of these crashes and the effectiveness of countermeasures to reduce their burden.

Detailed Analysis of Pedestrian Casualty Collisions in Victoria, Australia

This research aimed to identify factors associated with powered two-wheeler (PTW) crashes in New South Wales, Australia. An exploratory analysis was conducted on data from state crash, license, and vehicle registration databases for 2004 to 2008. Over the study period, PTW registrations and crashes increased (39% and 17%, respectively), but crash rates and fatality crash rates per 10,000 registered vehicles decreased (from 215.9 to 180.9 and from 5.7 to 3.7, respectively). Forty-one percent of PTW crashes were single-vehicle crashes; 49% occurred on curves, with road surface hazards contributing to 23%. Single-vehicle crashes accounted for 43% of all PTW fatalities. Other vehicle drivers were deemed at fault in 62% of multivehicle crashes, including 71% at intersections. T-junctions were the site of 30% of all multivehicle crashes. Riders were most likely to be at fault in rear-end (62%) and head-on (82%) crashes. The majority of head-on crashes were not overtaking (69%), and of these 83% occurred on curves. Super sport models had the highest crash rate per 10,000 registered motorcycles (284.6). Young riders were overrepresented in crashes (9% of registrations, 28% of crashes), and unlicensed riders, in fatal crashes (7% of crashes, 26% of fatal crashes). Unlicensed riders represented 41% of casualties not wearing helmets and 26% of all riders with an illegal concentration of alcohol. Although PTW crash rates showed an encouraging decline, countermeasures were found to be needed to protect the increasing numbers of riders. The analysis recommended head-on, rear-end, and intersection crashes as specific crash risk patterns to be targeted in education and training for riders and drivers; road treatments in high-risk locations; and interventions to address high-risk unlicensed riding.

Survey of Novice Motorcycle Riders and Their Riding Experience Before Licensing

Objective: Pedestrian road trauma is significant in Australia and requires in-depth understanding to improve or inform new countermeasures. Analyses on single data sources can be limited. This study investigated demographic, behavioral, environmental, and collision characteristics of pedestrian injury in Victoria, Australia, over a 5-year period using multiple data sources. Methods: Victorian state police, hospital presentation, hospital admission, and coronial data sets were analyzed and compared for the years 2004 to 2008. Results: Analyses identified 3,702 police-recorded pedestrian casualties (deaths and injuries, of which 256 were deaths), 5,008 pedestrian traffic-related hospital presentations, and 2,802 pedestrian admissions. Trend analyses showed significant increases in police casualty and hospitalization rates per 100,000 population. Age groups most commonly involved were those aged 18–24 especially on weekends, 75+ especially on weekday days, and 13- to 17-year-olds especially at school commute times. Proportionally more cases were male in all data sets. One quarter of coroner-examined deaths involved alcohol and one third involved drugs. Two thirds of police-recorded casualties occurred on weekdays, and 45% of weekend casualties occurred at night. Most casualties occurred in urban areas (95%), in lower-speed zones (78%); however, 79% of rural casualties occurred in high-speed zones, of which more were fatal. Over half did not occur at intersections. The most common injuries were fractures as well as multiple injuries, which together with intracranial injuries, were most common among fatalities (50 and 34%, respectively). Serious injury was more likely in older pedestrians, in males, in rural areas, in 60–80 km/h zones, in areas with poor lighting, while crossing a carriageway, not at an intersection, and when struck by a heavy vehicle. Conclusions: Findings indicate pedestrian serious injury rates are increasing and identify targets for countermeasures. Inherent limitations present in each relevant data collection require mutliple data sets to be explored and results contrasted. Jurisdictions seeking to determine pedestrian injury risk factors should aim to link police and hospital data for a complete analysis.

Does an on-road motorcycle coaching program reduce crashes in novice riders? A randomised control trial

Graduated licensing schemes have been found to reduce the crash risk of young novice drivers, but there is less evidence of their success with novice motorcycle riders. This study examined the riding experience of a sample of Australian learner–riders to establish the extent and variety of their riding practice during the learner stage. Riders completed an anonymous questionnaire at a compulsory rider-training course for the licensing test. The majority of participants were male (81%) with an average age of 33 years. They worked full time (81%), held an unrestricted drivers license (81%), and owned the motorcycle that they rode (79%). These riders had held their learners license for an average of 6 months. On average, they rode 6.4 h/week. By the time they attempted the rider-licensing test, they had ridden a total of 101 h. Their total hours of on-road practice were comparable to those of learner–drivers at the same stage of licensing, but they had less experience in adverse or challenging road conditions. A substantial proportion had little or no experience of riding in the rain (57%), at night (36%), in heavy traffic (22%), on winding rural roads (52%), or on high-speed roads (51%). These findings highlight the differences in the learning processes between unsupervised novice motorcycle riders and supervised novice drivers. Further research is necessary to clarify whether specifying the conditions under which riders should practice during the graduated licensing process would likely reduce or increase their crash risk.

Distribution and Type of Crash Damage to Motorcyclists’ Clothing: Validation of the Zone Approach in the European Standard for Motorcycle Protective Clothing, EN13595

OBJECTIVES Motorcycle riding is increasing globally and confers a high risk of crash-related injury and death. There is community demand for investment in rider training programs but no high-quality evidence about its effectiveness in preventing crashes. This randomised trial of an on-road rider coaching program aimed to determine its effectiveness in reducing crashes in novice motorcycle riders. METHODS Between May 2010 and October 2012, 2399 newly-licensed provisional riders were recruited in Victoria, Australia and completed a telephone interview before randomisation to intervention or control groups. Riders in the intervention group were offered an on-road motorcycle rider coaching program which involved pre-program activities, 4h riding and facilitated discussion in small groups with a riding coach. Outcome measures were collected for all participants via telephone interviews at 3 and 12 months after program delivery (or equivalent for controls), and via linkage to police-recorded crash and offence data. The primary outcome was a composite measure of police-recorded and self-reported crashes; secondary outcomes included traffic offences, near crashes, riding exposure, and riding behaviours and motivations. RESULTS Follow-up was 89% at 3 months and 88% at 12 months; 60% of the intervention group completed the program. Intention-to-treat analyses conducted in 2014 indicated no effect on crash risk at 3 months (adjusted OR 0.90, 95% CI: 0.65-1.27) or 12 months (adjusted OR 1.00, 95% CI: 0.78-1.29). Riders in the intervention group reported increased riding exposure, speeding behaviours and rider confidence. CONCLUSIONS There was no evidence that this on-road motorcycle rider coaching program reduced the risk of crash, and we found an increase in crash-related risk factors.