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Fisheries-induced alterations of shoaling behavior: elements along with possible outcomes.
Nagata, A, Doma, K, Yamashita, D, Hasegawa, H, and Mori, S. The effect of augmented feedback type and frequency on velocity-based training-induced adaptation and retention. J Strength Cond Res 34(11) 3110-3117, 2020-The purpose of this study was to compare the benefits of 4 weeks of velocity-based training (VBT) using different augmented feedback (AugFb) types and the frequency of AugFb, and whether adaptations are retained 10 days post-training. Thirty-seven collegiate male rugby players were divided into groups that received immediate feedback (ImFb; n = 9), visual feedback (ViFb; n = 10), average feedback (AvgFb; n = 10) and no feedback (NoFb; n = 8) during each VBT session consisting of 3 sets of 5 repetitions of loaded jump squats. The ImFb group received AugFb regarding lifting velocity under loaded jump squats (LV-JS) after every jump, whereas LV-JS measures were averaged after each set of jumps and presented to the AvgFb group. The LV-JS were video-recorded and displayed as kinematic feedback for the ViFb group after each set, although NoFb was provided for the NoFb group. Loaded jump squats measures were reported at baseline, during each training session and 10 days post-training. Loaded jump squats measures were significantly greater for the ImFb Group compared with the other groups during a number of post-baseline time points (p ≤ 0.05). Furthermore, at 4 weeks of VBT and 10 days post-retention, effect size (ES) calculations showed that LV-JS measures were greater with moderate to large effects for the ImFb group compared with the NoFb (ES = 1.02-1.25), AvgFb (ES = 0.78-0.82) and ViFb (ES = 0.74-1.60), respectively. However, LV-JS measures were reduced with moderate to large effects 10 days post-retention for the ViFb (ES = -0.60) and NoFb (ES = -0.85) groups. Providing LV-JS feedback after each jump appears to optimize performance and should be considered as a training tool during VBT.Tomeleri, CM, Ribeiro, AS, Nunes, JP, Schoenfeld, BJ, Souza, MF, Schiavoni, D, Junior, PS, Cavaglieri, CR, Cunha, PM, Venturini, D, Barbosa, DS, and Cyrino, ES. Influence of resistance training exercise order on muscle strength, hypertrophy, and anabolic hormones in older women a randomized controlled trial. J Strength Cond Res 34(11) 3103-3109, 2020-The purpose of this study was to analyze the effects of resistance training (RT) exercise order on muscle strength, hypertrophy, and anabolic hormones in older women. Forty-four older women were randomly assigned to 1 of 3 groups a nonexercise control group (CON, n = 15) and two RT groups that performed a 12-week RT program in a multijoint to single-joint order (MJ-SJ, n = 14), or in a single-joint to multijoint order (SJ-MJ, n = 15). The RT protocol (3×/week) encompassed 8 exercises, with 3 sets of 10-15 repetitions performed per exercise. One repetition maximum tests were used to evaluate muscle strength; dual-energy X-ray absorptiometry was used to estimate lean soft tissue. Both training groups showed significant and similar increases in muscle strength (MJ-SJ = 16.4%; SJ-MJ = 12.7%) and mass (MJ-SJ = 7.5%; SJ-MJ = 6.1%), whereas there were no significant changes in testosterone and insulin-like growth factor 1. The results suggest that both approaches are similarly effective in eliciting morphofunctional improvements in older women.Lira, FS, Conrado de Freitas, M, Gerosa-Neto, J, Cholewa, JM, and Rossi, FE. Comparison between full-body vs. split-body resistance exercise on the brain-derived neurotrophic factor immunometabolic response. J Strength Cond Res 34(11) 3094-3102, 2020-Intense aerobic exercise seems to increase serum concentrations of brain-derived neurotrophic factor (BDNF) in conjunction with increasing lactate; however, less is known about the BDNF response to differing resistance exercise protocols. We hypothesized that full-body (FB) resistance exercise will elicit a greater increase in serum BDNF and lactate compared with split-body resistance exercise. Twelve recreationally resistance-trained men (age = 25.3 ± 5.9 years) performed 3 randomized trials of 18 sets of exercise upper-body (UB), lower-body (LB), and FB conditions. Serum BDNF levels were assessed at rest, immediately Post-exercise, Post-1 hour, and Post-2 hours during recovery. Lactate concentration was evaluated at rest, after 9 sets, Post-exercise, Post-5, Post-10, and Post-30 minutes during recovery. In addition, interleukin (IL-6 and IL-10) and the IL-6/IL-10 ratio were calculated. Lactate concentration and total volume were greater in the FB condition compared with LB and UB (p less then 0.05). For BDNF, effect sizes were largest in the LB (1.4), followed by the FB (0.75), and moderate to UB (0.33), although no significant differences were observed between conditions. There was a statistically significant relationship between lactate and BDNF only for LB condition (rho = 0.72; p = 0.013). There were a greater IL-10 Post-1 hour for FB condition compared with UB and LB (p less then 0.001), and lower IL-6/IL-10 ratio in FB compared with UB (p less then 0.001). Lower body induced a great BDNF response, and FB resistance exercise elicited a greater increase of serum cytokines than UB in trained men. We speculate that the volume of work performed by larger muscles has a larger influence on BDNF than overall volume.Castillo, DC, Strand, KL, Oh, J, Eltoukhy, M, Totillo, MC, and Signorile, JF. Filanesib inhibitor The development of a regression model to predict object transfer power in older adults. J Strength Cond Res 34(11) 3086-3093, 2020-Declines in mechanical power affect independence in older adults; however, no practical clinical method exists to assess peak power (PP) and average power (AP) during transfer tasks in this population. Therefore, predictive models were developed and validated during performance of an existing transfer assessment, the gallon-jug shelf-transfer (GJST) test. Twenty-one independent-living older women (age = 74.8 ± 5.6) and men (age = 73.8 ± 4.5) participated in the development phase. Peak power and AP were computed using data from three-dimensional movement analyses while subjects moved five 1-gallon jugs from a low (0.59 m) to high shelf (1.43 m) as quickly as possible. Stepwise linear regression models using test duration, subject height, and age produced equations with high R values for PP (0.655-0.701; p less then 0.
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