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Schoenmakers, PPJM, Crisell, JJ, and Reed, KE. Physiological and perceptual demands of running on a curved nonmotorized treadmill compared with running on a motorized treadmill set at different grades. J Strength Cond Res XX(X) 000-000, 2020-The current study compared the physiological and perceptual demands of running on a commercially available curved nonmotorized treadmill (cNMT) with different incline grades on a motorized treadmill (MT). Ten male team-sport athletes completed, after a familiarization session, a 6-minute run at a target velocity of 2.78 m·s on the cNMT (cNMTrun). click here The mean individual running velocity of cNMTrun was then used as warm-up and experimental running velocity in 3 subsequent visits, in which subjects ran for 6 minutes on the MT set at different grades (4, 6, or 8%). In all experimental trials (cNMTrun, 4MTrun, 6MTrun, and 8MTrun) and in the warm-up of the subjects' third visit (1MTrun), oxygen consumption (V[Combining Dot Above]O2) and heart rate (HR) were monitored, and ratings of perceived exertion (RPE) were obtained. The HR in cNMTrun was significantly higher compared with all MT trials. V[Combining Dot Above]O2 and RPE were significantly higher in cNMTrun compared with 1MTrun and 4MTrun, but not different from 6MTrun and 8MTrun. The relationship between V[Combining Dot Above]O2 and MT grades was highly linear (V[Combining Dot Above]O2 = 34.36 + 1.7 MT grade; r = 0.99), and using linear interpolation, the concave curved design of the cNMT was estimated to mimic a 6.9 ± 3% MT grade. On matched running velocities, V[Combining Dot Above]O2 and RPE responses while running on the cNMT are similar to a 6-8% MT grade. These findings can be used as a reference value by athletes and coaches in the planning of cNMT training sessions and amend running velocities accordingly. Future studies are needed to determine whether this estimate is similar for female runners, or those of a lower body mass.Haycraft, JAZ, Kovalchik, S, Pyne, DB, and Robertson, S. Classification of players across the Australian Rules football participation pathway based on physical characteristics. J Strength Cond Res XX(X) 000-000, 2020-This study investigated the utility of physical fitness and movement ability tests to differentiate and classify players into Australian Football League (AFL) participation pathway levels. Players (n = 293, age 10.9-19.1 years) completed the following tests; 5-m, 10-m, and 20-m sprint, AFL planned agility, vertical jump (VJ), running VJ, 20-m multistage fitness test (MSFT), and athletic ability assessment. A multivariate analysis of variance between AFL participation pathway levels was conducted, and a classification tree determined the extent to which players could be allocated to relevant levels. The magnitude of differences between physical fitness and movement ability were level-dependent, with the largest standardized effect size (ES) between Local U12, Local U14, and older levels for most physical fitness tests (ES -4.64 to 5.02), except the 5-m and 10-m sprint. The 20-m, 5-m, AFL agility, 20-m MSFT, overhead squat, and running VJ (right) contributed to the classification model, with 57% overall accuracy reported (43% under cross-validation). National U16 players were easiest to classify (87%), while National U18 players were most difficult (0%). Physical fitness tests do not seem to differentiate between players after selection into AFL talent pathway levels. Other attributes (i.e., skill, psychological, and sociocultural) should be prioritized over physical fitness and movement attributes by selectors/coaches when considering selection of talented players.Marcel-Millet, P, Ravier, G, and Groslambert, A. Effect of protective equipment on firefighters' external and internal workloads during a simulated rescue intervention. J Strength Cond Res XX(X) 000-000, 2020-Firefighter's protective equipment is one of the main factors increasing psychophysiological demand during rescue intervention. Workload quantification defines the amount of stress placed on an individual. This study aimed to test the relationships and compare different workload methods to discriminate 3 protective equipment conditions based on simulated rescue intervention. The protective equipment was (a) personal protective clothing (PPC); (b) PPC and a self-contained breathing apparatus (SCBA), including a cylinder, a full-face piece, and a breathing regulator; and (c) PPC and only the cylinder of the SCBA (SCBAc). Workload was determined using methods based on heart rate (HR), perceived exertion (sRPE), acceleration, and an indirect method based on postexercise HR variability. Differences between cod SCBA conditions.Ramírez-Vélez, R, Castro-Astudillo, K, Correa-Bautista, JE, González-Ruíz, K, Izquierdo, M, García-Hermoso, A, Álvarez, C, Ramírez-Campillo, R, and Correa-Rodríguez, M. The effect of 12 weeks of different exercise training modalities or nutritional guidance on cardiometabolic risk factors, vascular parameters and physical fitness in overweight adults cardiometabolic high-intensity interval training-resistance training randomized controlled study. J Strength Cond Res XX(X) 000-000, 2020-Evidence suggests that exercise training improves cardiometabolic risk factors. The aim of this study was to investigate whether 12 weeks of high-intensity interval training (HIIT), resistance training (RT), concurrent training (CT = HIIT + RT), or nutritional guidance (NG) induced improvements in cardiometabolic risk factors, vascular parameters, and physical fitness in overweight adults, and to compare the responses between the 4 intervention groups. Twelve-weeks factorial randomized design examining the effects of different T group has a significant positive impact on the FMD (%) in comparison to HIIT, CT, or NG group (time × group interaction F(2.942); p = 0.044; η partial = 0.174). The main findings of this study are that 12 weeks of HIIT leads to significant improvements in cardiorespiratory fitness, whereas RT resulted in improvements in the vascular profile, supporting the positive effect of both training programs for cardiometabolic risk factors in sedentary and overweight adults.
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