BackgroundThere is limited knowledge on epidemiological injury data in judo.ObjectiveTo systematically review scientific literature on the frequency and characteristics of injuries in judo.MethodsThe available literature up to June 2013 was searched for prospective as well as retrospective studies on injuries in judo. Data extraction and presentation focused on the incidence rate, injury risk, types, location and causes of injuries.ResultsDuring the Olympic Games in 2008 and 2012, an average injury risk of about 11–12% has been observed. Sprains, strains and contusions, usually of the knee, shoulder and fingers, were the most frequently reported injuries, whereas being thrown was the most common injury mechanism. Severe injuries were quite rare and usually affected the brain and spine, whereas chronic injuries typically affected the finger joints, lower back and ears. The most common types of injuries in young judo athletes were contusions/abrasions, fractures and sprains/strains. Sex-differences data on judo injuries were mostly inconsistent. Some studies suggested a relationship between nutrition, hydration and/or weight cycling and judo injuries. Also, psychological factors may increase the risk of judo injuries.ConclusionsThe present review provides the latest knowledge on the frequency and characteristics of injuries in judo. Comprehensive knowledge about the risk of injury during sport activity and related risk factors represents an essential basis to develop effective strategies for injury prevention. Thus, the introduction of an ongoing injury surveillance system in judo is of utmost importance.

Crosswalk markings appear associated with increased risk of pedestrian-motor vehicle collision to older pedestrians at sites where no signal or stop sign is present to halt traffic.

Over the last 10 years, ski helmet use has steadily increased worldwide. According to the "risk compensation theory," however, studies found that up to one third of skiers and snowboarders self-reported to engage in more risk taking when wearing a ski helmet. Therefore, to evaluate whether self-reported risk taking and ski helmet use affect accident causes on ski slopes, more than 2000 injured skiers and snowboarders were interviewed during the 2011/2012 winter season about accident causes and potential intrinsic and extrinsic risk factors. Chi-square tests revealed that ski helmet use did not significantly differ between self-reported risky and cautious people (81% vs 83%). Multivariate regression analysis revealed younger age groups [odds ratios (ORs) 1.8-1.9, P < 005], male sex (OR 2.4, P < 0.001), Austrian nationality (2.2, P < 0.001), higher skill level (1.7, P < 0.001), and off-slope skiing (OR 2.2, P = 0.060) to be predictive for a risky behavior on ski slopes. Neither the use of skis or snowboards nor accident causes were significantly associated with a riskier behavior on ski slopes. In conclusion, self-reported risk-taking behavior and ski helmet use seem not to be associated with accident causes leading to an injury among recreational skiers and snowboarders.

With the recent worldwide increase in ski helmet use, new market trends are developing, including audio helmets for listening to music while skiing or snowboarding. The aim of this study was to evaluate whether listening to music with an audio ski helmet impairs reaction time to peripheral stimuli. A within-subjects design study using the Compensatory-Tracking-Test was performed on 65 subjects (36 males and 29 females) who had a mean age of 23.3 ± 3.9 years. Using repeated measures analysis of variance, we found significant differences in reaction times between the 4 test conditions (p=0.039). The lowest mean reaction time (± SE) was measured for helmet use while listening to music (507.9 ± 13.2 ms), which was not different from helmet use alone (514.6 ± 12.5 ms) (p=0.528). However, compared to helmet use while listening to music, reaction time was significantly longer for helmet and ski goggles used together (535.8 ± 14.2 ms, p=0.005), with a similar trend for helmet and ski goggles used together while listening to music (526.9 ± 13.8 ms) (p=0.094). In conclusion, listening to music with an audio ski helmet did not increase mean reaction time to peripheral stimuli in a laboratory setting.