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This study aimed to investigate the association between drunk riding, unhelmeted riding, unlicensed riding, and running-off-road (ROR) crashes. Multiple logistic regression was used to calculate the adjusted odds ratio (AOR) by using the National Taiwan Traffic Crash Dataset for 2011-2016. The results revealed that unhelmeted riding was associated with 138% (AOR = 2.38; CI (confidence interval) = 2.34-2.42) and 47% (AOR = 1.47; CI = 1.45-1.49) higher risks of drunk riding and unlicensed riding, respectively. The risk of unhelmeted riding increased with blood alcohol concentrations (BACs), and riders with the minimum BAC (0.031-0.05%) had nearly five times (AOR = 4.99; CI = 4.74-5.26) higher odds of unlicensed riding compared with those of riders with a negative BAC. Unhelmeted riding, drunk riding, and unlicensed riding were associated with 1.21 times (AOR = 1.21; CI = 1.13-1.30), 2.38 times (AOR = 2.38; CI = 2.20-2.57), and 1.13 times (AOR = 1.13; CI = 1.06-1.21) higher odds of ROR crashes, respectively. The three risky riding behaviours (i.e., unhelmeted riding, drunk riding, and unlicensed riding) were significantly related to ROR crashes. The risk of unhelmeted riding and ROR crashes increased with BACs.

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Backover crashes cause considerable injuries especially among young children. Prior research on backover crashes has not assessed the joint effect of heavy vehicles and diminished light conditions on injuries. By analysing the United Kingdom STATS19 crash dataset from 1991 to 2020, this study focused on backover crashes involving paediatric cyclists or pedestrians aged ≤17 years and other motorised vehicles. By estimating the adjusted odds ratio (AOR) of multiple logistic regression models, pedestrians appeared to have 82.3% (95% CI: 1.78-1.85) higher risks of sustaining killed or serious injuries (KSIs) than cyclists. In addition, casualties involved in backover crashes with heavy vehicles were 39.3% (95% CI: 1.35-1.42) more likely to sustain KSIs than those involved in crashes with personal cars. The joint effect of heavy vehicles and diminished light conditions was associated with a 71% increased probability of sustaining KSIs (AOR = 1.71; 95% CI: 1.60-1.83). Other significant joint effects included young children (aged 0 to 5 years) as pedestrian (AOR = 1.92; 95% CI: 1.87-1.97), in diminished light conditions (AOR = 1.23; 95% CI: 1.15-1.31), and with heavy vehicle (AOR = 1.37; 95% CI: 1.28-1.47).

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PURPOSE: Excellent vision is essential to performing well in sports. Sports vision includes visual, perceptual, cognitive, and oculomotor tasks that enable athletes to process and respond to what is seen. We aimed to examined how sports vision parameters - dynamic visual acuity (DVA), eye movement (EM), peripheral vision (PV), and momentary vision (MV) - varied with age and sex and assessed how static visual acuity (SVA) affect sports vision performance. MATERIALS AND METHODS: Sports vision was assessed at 45 cm distance at best-corrected SVA in 310 nonathletic participants (age, 6-60 years). Among these 310 participants, 108 university students underwent their sports vision test at 45 cm and 2.5 m distance, with and without glasses. The 4 sports vision parameters were measured by Athlevision software package installed to a laptop. Two-way analysis of variance (ANOVA) was used to compare sports vision performance in relation to age group and sex. Repeated-measures ANOVA with 1 within-factor (4 conditions) were used to analyze how sports vision varied among the near/far distance with/without glasses conditions. RESULTS: DVA increased during childhood, peaked during the 20s or 30s, and gradually decreased during middle age (P < 0.0001). DVA was significantly better in males than in females (P = 0.0001). The other 3 sport vision parameters - EM, PV, and MV - exhibited similar age trends (P < 0.001) but did not differ between two sexes. The university students with mild myopia had similar DVA, EM, and PV at both near and far distances, with and without correction; but moderate or severe myopic students with uncorrected vision had worse DVA, EM, and PV at 2.5 m than at 45 cm. CONCLUSION: Low SVA in uncorrected myopia significantly interferes the performance in sport vision tests applied in this study, especially in far distance. Improve static vision, such as myopic correction, may significantly improve sports vision, which is important in athletic performance and safety.

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Table tennis athletes and non-athletes potentially differ in stereopsis and eye-hand response times (RT), but whether stereopsis correlates with response time has scarcely been discussed. We aimed to compare stereopsis and RT between collegiate table tennis athletes and non-athletes and to examine the correlation between stereopsis and RT. From December 2016 to October 2019, table tennis athletes (n = 80) and non-athletes (n = 56) were recruited. Stereopsis was measured in four modes (A25, A50, R25, R50: approaching and receding directions at 25 mm/s or 50 mm/s). RT was measured with simple and choice tasks at zero, shoulder, and random distance. For stereopsis, the judged deviations were smaller during the approaching phases. Men had smaller A25 than women (p =0.012), whereas table tennis athletes showed smaller R25 and A50 than non-athletes (p = 0.03, 0.01, respectively). RT increased from simple to choice conditions and from zero to random, followed by shoulder distance. Men were significantly faster than women in choice tasks (p < 0.01). Table tennis athletes performed better in RT than the non-athletes (p < 0.05). No correlation was observed between stereopsis and RT (r = -0.01 to 0.12). In conclusion, athletes from table tennis sports showed better stereopsis and RT than non-athletes. Men had better stereopsis and RT than women. There was no correlation between stereopsis and RT.

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BACKGROUND: Data on visuomotor performance in combat training and the effects of combat training on visuomotor performance are limited. This study aimed to investigate the effects of a specially designed combat sports (CS) training program on the visuomotor performance levels of children. METHODS: A pre-post comparative design was implemented. A total of 26 students aged 9-12 years underwent 40-min CS training sessions twice a week for 8 weeks during their physical education classes. The CS training program was designed by a karate coach and a motor control specialist. The other 30 students continued their regular activities and were considered as a control group. Each student's eye movement was monitored using an eye tracker, whereas the motor performance was measured using a target hitting system with a program-controlled microprocessor. The measurements were taken 8 weeks before (baseline), 1 day before (pretest), and 1 week after (posttest) the designated training program. The task used for evaluating these students was hitting or tracking random illuminated targets as rapidly as possible. A two-way analysis of variance [group(2) × time(3)] with repeated measures of time was performed for statistical analysis. RESULTS: For the children who received combat training, although the eye response improvement was not significant, both the primary and secondary saccade onset latencies were significantly earlier compared to the children without combat training. Both groups of students exhibited improvement in their hit response times during the target hitting tasks. CONCLUSION: The current finding supported the notion that sports training efforts essentially enhance visuomotor function in children aged 9-12 years, and combat training facilitates an earlier secondary saccade onset.

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BACKGROUND: Response time (RT) is crucial in karate athletes and can be trained. The aim of this study was to compare standing eye-hand RT and contest performance in nonelite karate athletes who underwent 6 weeks of training using either a stationary preprogrammed target dummy (experimental group) or traditional karate instruction (control group). METHODS: Forty male nonelite karate athletes (20 in each group) were recruited. Standing RT and contest performance was assessed before and after training. Attack RT (eye-hand or eye-leg) and success rate were measured in the experimental group only during training. RESULTS: Age, years of karate practice, Body Mass Index, and standing RT before training did not significantly differ between groups. In the control group, standing RT was significantly improved in the dominant hand after training (25.62±24.18 ms, P=0.0003), but there was no significant improvement in standing RT of the nondominant hand and karate contest score. In the experimental group, standing RT was significantly faster after training (improvement in dominant hand: 69.84±50.85 ms, P<0.0001; improvement in nondominant hand: 68.94±59.43 ms, P<0.0001), and the karate contest score was significantly improved (P=0.0234). During the training period, mean attack RT improved from 1047.4 ms in week1 to 944.9 ms in week6 (P<0.001). However, the success rate gradually decreased from 89.3% (week 1) to 62.4% (week 6) (P<0.001). CONCLUSIONS: A 6-week training using a stationary preprogrammed target dummy improved contest performance and standing RT in both the dominant and nondominant hands of nonelite karate athletes. Improvements of RT in the dominant hand were also seen in the control group.

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BACKGROUND: The effect of correcting static vision on sports vision is still not clear. AIM: To examine whether sports vision (depth perception [DP], dynamic visual acuity [DVA], eye movement [EM], peripheral vision [PV], and momentary vision [MV],) were different among soft tennis adolescent athletes with normal vision (Group A), with refractive error and corrected with (Group B) and without eyeglasses (Group C). SETTING AND DESIGN: A cross-section study was conducted. Soft tennis athletes aged 10-13 who played softball tennis for 2-5 years, and who were without any ocular diseases and without visual training for the past 3 months were recruited. MATERIALS AND METHODS: DPs were measured in an absolute deviation (mm) between a moving rod and fixing rod (approaching at 25 mm/s, receding at 25 mm/s, approaching at 50 mm/s, receding at 50 mm/s) using electric DP tester. A smaller deviation represented better DP. DVA, EM, PV, and MV were measured on a scale from 1 (worse) to 10 (best) using ATHLEVISION software. STATISTICAL ANALYSIS: Chi-square test and Kruskal-Wallis test was used to compare the data among the three study groups. RESULTS: A total of 73 athletes (37 in Group A, 8 in Group B, 28 in Group C) were enrolled in this study. All four items of DP showed significant difference among the three study groups (P = 0.0051, 0.0004, 0.0095, 0.0021). PV displayed significant difference among the three study groups (P = 0.0044). There was no significant difference in DVA, EM, and MV among the three study groups. CONCLUSIONS: Significant better DP and PV were seen among soft tennis adolescent athletes with normal vision than those with refractive error regardless whether they had eyeglasses corrected. On the other hand, DVA, EM, and MV were similar among the three study groups.

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