Introduction: The purpose of this study is to systematically compare and assess the differences in perceptual-cognitive skills between expert and non-expert sports officials, and further explore the potential differences caused by different types of sports officials, in order to provide a more comprehensive understanding of the perceptual-cognitive skills of sports officials.Methods: Relevant literature published before 31 December 2022 was searched in four English databases. Review Manager 5.4 and Stata 12.0 software were used for meta-analysis and bias test.Results: Expert sports officials are significantly more accurate in their decision-making than non-expert sports officials, and exhibit a large amount of effect size (SMD = 1.09; 95%CI: 0.52, 1.66; P < 0.05). Expert sports officials had significantly fewer number of fixations than non-expert sports officials and showed a moderate amount of effect size (SMD = 0.71; 95%CI: 1.25, 0.17; P < 0.05). Expert sports officials' duration of fixation (SMD = 0.23; 95%CI: 0.25, 0.71; P = 0.35) were not significantly different from non-expert sports officials.Discussion: It can be seen that there are differences in the Perceptual-cognitive skills of expert and non-expert sports officials. Decision-making accuracy can serve as an important indicator for distinguishing the perceptual-cognitive skills of expert and non-expert sports officials. Number of fixations can serve as important indicators to differentiate the perceptual-cognitive skills of monitors.Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=418594, identifier: CRD42023418594.

The purposes were to evaluate kinetics in lower limbs using single leg countermovement jump (SLCMJ) and to identify the differences in SLCMJ kinetics between sprinting fast players and sprinting slow players in elite university female soccer players. Seventeen participants at the national tournament level completed the survey. SLCMJ and 30 m sprinting tests were performed. A force-plate was used to collect the data of the SLCMJ test. Significant differences of concentric maximum rate of force development (RFD), concentric RFD, concentric RFD/body weight (BW), peak net takeoff force/BW, peak power, and peak power/BW existed between both legs during the SLCMJ among all the participants. For further analysis, the participants were divided into fast group and slow group based on sprinting performance. Significant differences existed between the two groups in concentric peak velocity (nondominant, p = 0.028) and vertical velocity at takeoff (nondominant, p = 0.021). Concentric maximum RFD (p = 0.036) was significantly different between both legs in the slow group. Among elite university female soccer players, the players who presented more increased asymmetry of kinetic characteristics of jumping, also showed weak sprinting performance. Moreover, the players presented the best performance in velocity of the jumping variables and also had the best sprinting performance. Coaches and players should focus on keeping inter-limb balance and developing jumping velocity to improve sports performance. In future, the cause-and-effect relationship between jumping and sprinting should be identified.

Body pain, often considered as an early sign of injury in young players, warrants thorough study. This study aimed to examine the distribution of badminton-related pain and prevalence in pre-adolescent and adolescent badminton players. Profiles of badminton-related pain were surveyed using a questionnaire among 366 pre-adolescent and adolescent badminton players aged 7–12 years. The distribution of badminton-related pain was described, and the pain incidence was calculated. Proportions of pain per 1000-training-hour exposures were the main outcome measures. The analysis considered various age groups (7–8, 9–10, and 11–12 years) and years of badminton experience (≤2, 2–3, and > 3 years). In total, 554 cases of badminton-related pain were reported. The ankle was the most common site, followed by knee, plantar, shoulder, and lower back. The overall pain rate per 1000-training-hour exposure was 3.06. The 11–12-year-old group showed the highest pain rate, significantly greater than the 7–8-year-old group and the 9–10-year-old group. Additionally, the prevalence of pain exhibited an increasing trend with age. Finally, regardless of the age groups, participants with 2–3 years of badminton experience had the highest pain rate. These findings might help inform targeted interventions to reduce the high prevalence of pain in various body regions across pre-adolescent and adolescent badminton players.

To develop a prevention program for rowing-related injuries, it is crucial to study the epidemiological characteristics of injuries among Chinese rowing athletes. This study aimed to investigate the distribution and incidence of injuries among Chinese rowing athletes aged 12–24 years. A retrospective study was conducted in 2024 among 207 rowing athletes in China using a rowing-specific questionnaire. The questionnaire comprised two sections: the first section collected basic information, including gender, age, height, weight, years of training experience, daily training hours, weekly training days, and weekly training hours; the second section collected information on rowing-related injuries over the past year, including injury locations, mechanisms, and severity. An injury was defined as a physical complaint with time loss and/or medical care. Rowing-related injuries were normalized to rates per 1000 training hours and per 1000 training sessions, calculated using the Poisson distribution based on age and gender. A total of 131 injuries were reported, including 51 (38.9%) acute-onset and 80 gradual-onset (61.1%) injuries. The lower back was the most common site (39.7%, 52 cases), followed by the knee and shoulder. Over two-thirds of the injuries caused less than a week’s absence from rowing. The overall injury rate per 1000 training hours was 0.46 (95% CI: 0.38–0.54), and the overall injury rate per 1000 training sessions was 2.16 (95% CI: 1.79–2.53). Rowing-related injuries were significantly associated with gender (OR: 3.52, 95% CI: 1.37–9.02, p = 0.009) and BMI (OR: 3.63, 95% CI: 1.33–9.95, p = 0.012). Among Chinese rowing athletes, injuries frequently occurred, especially in female athletes. Lower back injuries were the most common, followed by knee and shoulder injuries. This study contributes to improving injury prevention and early detection in high-risk anatomical regions and vulnerable athletes among elite rowers.

Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human–computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature level, which is vulnerable to three problems: object occlusion, keypoints ghost, and neighbor pose interference. We propose a dual-space-driven topology model for the human pose estimation task. Firstly, the model extracts relatively accurate keypoints features through a Transformer-based feature extraction method. Then, the correlation of keypoints in the physical space is introduced to alleviate the error localization problem caused by excessive dependence on the feature-level representation of the model. Finally, through the graph convolutional neural network, the spatial correlation of keypoints and the feature correlation are effectively fused to obtain more accurate human pose estimation results. The experimental results on real datasets also further verify the effectiveness of our proposed model.

Background: Stand-up paddleboarding has developed rapidly in recent years, but research on stand-up paddleboarding-related injuries is limited. Clarifying the characteristics of its injuries is needed to inform future prospective surveillance and prevention research. Purpose: This study aimed to investigate the distribution and incidence of self-reported stand-up paddleboarding-related injuries and to identify the paddling phases during which injuries were most frequently reported among stand-up paddleboarding athletes by age and gender. Methods: This study was a retrospective, self-reported injury survey conducted using a questionnaire among stand-up paddleboarding athletes aged 8–67 years who participated in municipal-level or above paddleboard events. An injury was defined as any physical complaint sustained during paddleboarding that caused: (a) missed training/competition, or (b) medical attention. Injury rates were calculated using Poisson distribution to determine the standardized incidence per 1000 training hours. Results: Among all the 330 athletes, 220 athletes (66.7%) reported 482 injuries. The shoulder was the most common injury site (20.1%, 97 cases), followed by the lower back (15.4%, 74 cases). Athletes experienced 5.39 sports injuries per 1000 training hours. Adult athletes had significantly higher injury rates than adolescent athletes (5.87 vs. 3.08 injuries per 1000 training hours). Adult athletes were more likely to sustain shoulder and lower back injuries than adolescent athletes. 50.6% (167 athletes) reported 355 injuries during paddling phases. The shoulder was the most common injury site during paddling phases (35.2%, 125 cases), followed by the lower back (23.4%, 83 cases). During the pull phase, 67.7% (113 athletes) of all the 167 athletes reported 155 injuries accounting for 43.7% of all phase-related injuries. The shoulder was the most common injury site in the pull phase (34.2%, 53 cases), while the lower back was the most common injury site in the exit phase (30.0%, 18 cases). Conclusion: The shoulder and lower back were the most common injury sites among competitive stand-up paddleboarding athletes, and injuries were most frequently reported during the pull phase of paddling. These descriptive findings may improve future injury prevention research and help athletes and coaches enhance safety awareness.