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The vertical jump test is one of the simplest and most prevalent physical tests used in practice and research. This study investigated the validity and reliability of a new mobile application (Jumpo) for measuring jump performance on Android devices. University-aged students (n = 10; 20 ± 3 years; 176 ± 6 cm; 68 ± 9 kg) reported to the laboratory on three occasions (2-7 days apart) to be familiarized with the jump performance measurements and then for test-retest reliability assessments. Participants performed countermovement jumps (CMJ), squat jumps (SJ), and right and left single-legged jumps in random order on a force platform while being recorded by a smartphone's slow-motion camera. Flight time was selected as the criterion variable. Strong positive correlations between the Jumpo and force platform were observed for each jump type tested (r ≥ 0.93), although the flight times obtained with the Jumpo App were systematically shorter than those provided by the force platform by 3-6% (p less then 0.001). The Jumpo App demonstrated a high test-retest reliability (ICC ≥ 0.94, CV ≤ 3.7%) with no differences between the coefficients of variation obtained from the Jumpo App and force platform (p ≥ 0.25). With respect to jump type, data from double-legged jumps (CMJ and SJ) were more accurately measured than data from single-legged jumps. The Jumpo App provides a valid and reliable measurement of jump performance, but the following equation should be used to calibrate its flight time results, allowing comparisons to be made to force platform data Force platformflight time = 0.948 × Jumpoflight time + 41.515. Future studies should cross-validate the calibration equation in a different sample of individuals.Limited research exists on physical performance assessments for women collegiate athletes. The current cross-sectional study compared field-based tests of muscular strength and power and investigated their relationship. Sports included field hockey, volleyball, soccer, and softball. Tests of one repetition maximum (1-RM) back squat, 1-RM bench press, vertical jump, and standing long jump were administered. A one-way analysis of variance (ANOVA) assessed differences across sports. Bivariate Pearson correlation coefficients examined relationships among tests. It was hypothesized sports with a higher anaerobic nature (volleyball, softball) would outperform those with higher aerobic nature (field hockey, soccer). Softball had the highest 1-RM bench press and 1-RM back squat (p less then 0.001) compared to field hockey, volleyball, and soccer. Further, softball had the highest vertical jump (p less then 0.001) compared to field hockey and soccer, but did not differ from volleyball. There were no differences across sports for standing long jump. Correlations (p less then 0.001) existed between 1-RM back squat and 1-RM bench press (n = 663, r = 0.56), and vertical jump and standing long jump (n = 160, r = 0.64). Results demonstrate strength and power differences among collegiate women's sports. Softball consistently outperformed others in bench press, back squat, and vertical jump, which may be due to the demand of power embedded in the nature of the sport. These data provide descriptive measures of physical performance assessments and may assist practitioners with goal setting and program design.Strength and conditioning coaches were allegedly involved in pre-COVID-19 nontraumatic injuries/deaths (e.g., exertional heat illness, exertional rhabdomyolysis, cardiorespiratory failure) of NCAA (mainly football) student-athletes during off-season training sessions. During the COVID-19 health crisis, non-pharmaceutical interventions against the SARS-CoV-2 virus included suspension of NCAA seasons, which led to student-athletes exhibiting lower levels of mental health. All NCAA championships have now been reinstated. This summer the off-season is unique, because as several programs had stopped practicing/competing for several months, it may foster additional threats to the wellbeing of the student-athletes. Immediate supplementary action may be necessary this collegiate football off-season in order to lower the probability of potential tragic/catastrophic events due to physical and psychological side-effects stemming from the prolonged inactivity period.This review aims to 1) be the first systematic review and meta-analysis of the literature examining the physiology and assessment of goaltenders, and 2) present a physiological profile of ice-hockey goaltenders. It will 1) highlight physiological differences between goaltenders and players at other positions, 2) determine strengths and weaknesses of ice hockey goaltenders, and 3) offer possible guidelines for strength and conditioning coaches. Six electronic databases were systematically searched in October 2019 using the PRISMA model. A total of twelve scientific articles published in peer-reviewed journals were included. Professional male (PM) goaltenders had the following profile for age (A) 26.8 ± 2.5 years, body weight (BW) 85.64 ± 3.79 kg, height (H) 184.38 ± 2.79 cm, body fat % (BF%) 11.9 ± 2.22, VO2max 49.9 ± 4.45 ml/kg/min, anaerobic power (AP) 12.78 ± 1.63 W/kg, and combined hand grip strength (GS) 120.7 ± 15 kg. Amateur male (AM) goaltenders presented the following A 18.2 ± 0.75, BW 83.85 ± 4.51, H 184.96 ± 2.06, BF% 10.51 ± 1.61, VO2max 55.73 ± 4.57, AP 10.9 ± 1.2 and GS 109.08 ± 14.06. Amateur female (AF) goaltenders presented the following A 21.04 ± 1.84, BW 63.4 ± 5.14, H 164.86 ± 5.73, BF% 22.12 ± 2.27 and VO2max 42.84 ± 3.59. Overall, PM goaltenders are heavier, have a higher BF%, and exhibit greater GS and abdominal muscular endurance than AM, while AM goaltenders are heavier, taller, leaner, and can generate greater lower-body muscular power than AF goaltenders. In the current literature, there were a small number of studies on women players and a lack of distinction between player position in reported results. Specific physiological assessments during NHL Combines should be developed for goaltenders in accordance with their specific positional demands.There is evidence to suggest that aquatic plyometric training (APT) may be an effective and safer alternative to traditional land-based plyometric training (LPT) when training to increase jump performance. The aim of this review was to critically examine the current literature regarding the effects of APT vs. LPT on jump performance in athletic populations. Key terms were employed in five separate databases to complete the current review. Available articles were screened for inclusion and exclusion criteria to determine which studies were deemed eligible for review. Outcome measure in these studies included those assessing lower extremity power and jump performance (i.e., drop jumps, broad jumps, sergeant jumps, repeated countermovement jumps, and vertical jumps). All but one of the studies included in this critical review showed significant improvements in jump performance after LPT and APT interventions. Both LPT and APT groups experienced similar increases in jump performance and lower-body power, pre- to post-test, in the majority of the studies examined in this review. LPT and APT have the ability to improve lower extremity explosive strength and jump performance within athletic populations. Improvements in lower body power may improve overall athletic performance. Observations from this review may be used by sport coaches, strength coaches, and athletes alike to weigh the pros and cons of both forms of plyometric training. Observations from this review may also be used to weigh the pros and cons of APT over LPT in terms of reducing risk of injury.This paper examines the effect of match-induced fatigue on lower limb biomechanics, in the case of a basketball game. For this purpose, sixteen male basketball athletes, ages 18 to 22, performed a jump-landing task prior and post a recreational basketball game. The Landing Error Scoring System (LESS) was used to examine the biomechanics of landing. The Vertical jump (VJ) and the Borg Rating of Perceived Exertion (RPE) scale pre- and post-game were employed to assess the level of fatigue induced by the basketball game. In order to compare pre and post measurements, t-tests for dependent samples were used. The performance of the VJ test post-game was found to be significantly lower (t (15) = 3.83, p = 0.002) showing a large effect (Cohen's d = 0.9) compared to pre-game measurements. Further, the LESS scores were significantly (t (15) = 2.33, p = 0.034) higher post-game with a medium effect (d = 0.5). The differences in LESS scores were due to errors in the landing technique which is bound to be influenced by biomechanics. Moreover, the Borg RPE scale was found to be significantly higher (t (15) = 10.77, p less then 0.001) postgame showing a very large effect (d =2.6). It is important to note, that these significant differences occurred with a merely medium level of fatigue (6.6 ± 0.3 pre-game vs 11.9 ± 1.0 post-game). The results of this study would be of great benefit to sports science teams and coaches for formulating effective strategies to improve athletes' performance and reduce the likelihood of injury.Stand up paddle (SUP) boarding is a popular water-based aquatic sport and recreational activity that continues to grow in popularity, however, little is known about its effect upon hydration status in recreational and elite level participants. The aim of this study was to examine the hydration status in SUP by investigating fluid loss through measurement of nude body mass. Thirty participants successfully completed the study. Hydration status was assessed by measurements of nude body mass taken pre and post SUP session. Intensity of the session was monitored throughout each session using a telemetry heart rate (HR) monitor; both mean and maximum HRs were assessed. Environmental conditions were recorded prior to each session and participants rated perceived hydration pre and post activity. SUP sessions average duration was 68 ± 13 mins (mean HR 135 ± 20 bpm, peak HR 167.1 ± 12 bpm). The average mass lost in a SUP session was 0.82 ± 0.4 kg (absolute), 0.03 ± 1 (relative BMI), 0.43 ± 0.2 (relative BSA) and the overall percentage of loss was 1.2 ± 0.6 % (p less then 0.01, d = 0.47). Key predictors (p less then 0.05) of fluid loss included ambient air temperature, gender (males), mean HR and SUP session duration. Results from this study suggest that SUP participants may require fluid loss monitoring to allow for effective rehydration strategies. Pre-hydration strategies are also recommended to avoid dehydration which is associated with decreased performance (aerobic and strength), increased core temperature, heart rate and may lead to detrimental health outcomes such as renal failure and heat illness in extreme circumstances.There is still no consensus on how biological maturation (BM) affects the muscle power of upper and lower limbs in young people. The objective was to verify associations between BM and muscle power, as well as to compare the muscle power of upper (ULP) and lower limbs (LLP) among young athletes in different stages of BM. The sample consisted of 79 female athletes (10.9 ± 1.11 years old). CH7233163 Regarding BM, the sample was divided into three groups delayed BM, synchronized BM, and accelerated BM. BM was identified by subtracting chronological age from bone age (BA). BA was measured by a mathematical model based on anthropometry. The muscular power of the upper limbs was analyzed by the medicine ball launch test, and that of the lower limbs was analyzed by the countermovement jump on a force platform. BM and BA correlated with ULP (BA r =0.74; BM r =0.65) and LLP (BA r = 0.50; BM r =0.41). In the comparisons of the tests of ULP and LLP, the groups with synchronized and accelerated BM were superior to the group with delayed BM.