Badminton is the fastest racket sport in the world with smash speeds reaching over 111 m/s (400 kph). This study examined the forehand jump smash in badminton using synchronised force plates and full-body motion capture to quantify relationships to shuttlecock speed through correlations. Nineteen elite male Malaysian badminton players were recorded performing forehand jump smashes with the fastest, most accurate jump smash from each player analysed. The fastest smash by each participant was on average 97 m/s with a peak of 105 m/s. A correlational analysis revealed that a faster smash speed was characterised by a more internally rotated shoulder, a less elevated shoulder, and less extended elbow at contact. The positioning of the arm at contact appears to be critical in developing greater shuttlecock smash speeds. Vertical ground reaction force and rate of force development were not correlated with shuttlecock speed, and further investigation is required as to their importance for performance of the jump smash e.g., greater jump height and shuttle angle. It is recommended that players/coaches focus on not over-extending the elbow or excessively elevating the upper arm at contact when trying to maximise smash speed.

The study aimed to investigate the influence of key technical determinants on shooting performance in both air rifle and pistol shooting disciplines. Following a systematic search across four databases (PubMed, CINAHL, SPORTDiscus, and Cochrane Library), a total of 22 articles were included. The findings indicate that there was a significant correlation between the stability of hold component, as measured by DEV_X ( r = −0.60; 95% confidence interval (CI) = −0.69 to −0.49; p < 0.001) and HIT_f ( r = 0.69; 95% CI = 0.56 to 0.79; p < 0.001) and shooting performance in both shooting disciplines. In addition, HIT_r, another stability component, revealed a significant positive correlation for shooting performance ( r = 0.60; 95% CI = 0.35 to 0.77; p < 0.001) in air pistol shooting. Furthermore, in both disciplines, there was a significant positive correlation between shooting performance and measures of aiming accuracy such as COG_hit ( r = 0.64; 95% CI = 0.49 to 0.75; p < 0.001), Target_f ( r = 0.75; 95% CI = 0.63 to 0.84; p < 0.001), and Target_r ( r = 0.60; 95% CI = 0.33 to 0.78; p < 0.001). In both disciplines, there was a strong negative correlation between the cleanliness of triggering and shooting performance ( r = −0.63; 95% CI = −0.75 to −0.48; p < 0.001). Time on target measure significantly correlated with shooting performance ( r = 0.52; 95% CI = 0.31 to 0.68; p < 0.001) across both disciplines. The relationship between postural balance and shooting performance in air rifle shooting was negative, indicating that better postural balance is associated with improved shooting ( r = −0.53; 95% CI = −0.69 to −0.33; p < 0.001). This review emphasizes the significance of various technical components in both air rifle and pistol disciplines.

Three-dimensional position data of nineteen elite male Malaysian badminton players performing a series of maximal jump smashes were collected using a motion capture system. A ‘resultant moments’ inverse dynamics analysis was performed on the racket arm joints (shoulder, elbow and wrist). Relationships between racket head speed and peak joint moments were quantified using correlational analyses, inclusive of a Benjamini–Hochberg correction for multiple-hypothesis testing. The racket head centre speed at racket–shuttlecock contact was, on average, 61.2 m/s with a peak of 68.5 m/s which equated to average shuttlecock speeds of 95.2 m/s with a peak of 105.0 m/s. The correlational analysis revealed that a larger shoulder internal rotation moment (r = 0.737), backwards shoulder plane of elevation moment (r = 0.614) and wrist extension moment (r = −0.564) were associated with greater racket head centre speed at racket–shuttlecock contact. Coaches should consider strengthening the musculature associated with shoulder internal rotation, plane of elevation and wrist extension. This work provides a unique analysis of the joint moments of the racket arm during the badminton jump smash performed by an elite population and highlights significant relationships between racket head speed and peak resultant joint moments.

Acute physiological, perceptual and biomechanical consequences of manipulating both exercise intensity and hypoxic exposure during treadmill running were determined. On separate days, eleven trained individuals ran for 45 s (separated by 135 s of rest) on an instrumented treadmill at seven running speeds (8, 10, 12, 14, 16, 18 and 20 km.h⁻¹) in normoxia (NM, FiO₂ = 20.9%), moderate hypoxia (MH, FiO₂ = 16.1%), high hypoxia (HH, FiO₂ = 14.1%) and severe hypoxia (SH, FiO₂ = 13.0%). Running mechanics were collected over 20 consecutive steps (i.e. after running ∼25 s), with concurrent assessment of physiological (heart rate and arterial oxygen saturation) and perceptual (overall perceived discomfort, difficulty breathing and leg discomfort) responses. Two‐way repeated‐measures ANOVA (seven speeds × four conditions) were used. There was a speed × condition interaction for heart rate (p = 0.045, ηp²=0.22), with lower values in NM, MH and HH compared to SH at 8 km.h⁻¹ (125 ± 12, 125 ± 11, 128 ± 12 vs 132 ± 10 b.min⁻¹). Overall perceived discomfort (8 and 16 km.h⁻¹; p = 0.019 and p = 0.007, ηp²= 0.21, respectively) and perceived difficulty breathing (all speeds; p = 0.023, ηp²= 0.37) were greater in SH compared to MH, whereas leg discomfort was not influenced by hypoxic exposure. Minimal difference was observed in the twelve kinetics/kinematics variables with hypoxia (p > 0.122; η_p²= 0.19). Running at slower speeds in combination with severe hypoxia elevates physiological and perceptual responses without a corresponding increase in ground reaction forces.

Journal of Clinical and Diagnostic Research aims to publish findings of doctors at grass root level and post graduate students, so that all unique medical experiences are recorded in literature.

The study identified performance indicators that differentiate winning from losing teams in the Men's Volleyball Nations League. Total of 208 matches from two consecutive Volleyball Nations League seasons (2023 and 2024) were analysed. Matches were categorized with the final set difference (3-0, 3-1, and 3-2). We analysed four performance indicators: attack points, block points, serve points, and opponent error points. The normality of data was verified using Kolmogorov-Smirnov test and an independent t-test was employed to compare the differences between winners and losers for all indicators. Variables that showed significant differences between two groups were selected for discriminant analysis. Discriminant analysis revealed all match types, block and serve points were the most important predictor. In 5-set type matches attack, block and serve were found the significant predictor of match outcome. In 3-set type matches, all performance indicators significantly influenced the match outcome. These results demonstrate that serve and block points are consistently critical in all match types. These findings offer insights for coaches on how performance indicators impact match outcomes in high level volleyball matches. Future researches should investigate different scoring phases and other indicators to enhance the application of volleyball performance analysis.