Taurine is a well-known free amino acid that has gained prominence in recent years despite its little or no role in protein formation. Few studies on the ergogenic effect of taurine exist with inconsistent results. The answer to the question of whether performance markers demonstrate the benefit of taurine remains unclear. This study aimed to reach a consensus about whether taurine supplementation is effective on aerobic (time to exhaustion [TTE], maximal oxygen uptake [V̇O2max], and rating of perceived exertion) and anaerobic (power outputs, fatigue index, jumping, and blood lactate level) performance outputs. Google Scholar, PubMed databases, clinical trial websites, and gray literature were reviewed until November 2021. Mean differences (MDs) were pooled using random or fixed-effects models according to the heterogeneity degree of the related output. Although 18 studies were detected for the meta-analysis between 2001 and 2021, 16 studies were grouped. Only randomized controlled trials (single or double-blind) were considered. Taurine supplementation had a significant effect on vertical (MD 5 3.60; 95% confidence interval [CI] [2.32 to 4.89], p , 0.00001) and countermovement (MD 5 8.50; 95% CI [4.78 to 12.22], p , 0.00001) jump performance when compared with a placebo group. Taurine supplementation had no significant effect on the V̇O2max level and rate of perceived exertion (respectively, MD 5 20.54 mL/kg/min; 95% CI [26.84 to 5.75], p 5 0.87; MD 5 20.24; 95% CI [20.74 to 0.27], p 5 0.35) when compared with a placebo group. Overall, it looks to be effective for jumping performance and TTE. Taurine supplementation may be useful for people who want to improve these performance outputs.

Altering set configurations during a resistance training program can provide a novel training variation that can be used to modify the external and internal training loads that induce specific training outcomes. To design training programs that better target the defined goal(s) of a specific training phase, strength and conditioning professionals need to better understand how different set configurations affect the training adaptations that result from resistance training. Traditional and cluster set structures are commonly implemented by strength and conditioning professionals as part of an athlete’s resistance training program. The purpose of this review is to offer examples of the practical implementation of traditional and cluster sets that can be integrated into a periodized resistance training program.

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Deloading is a period of reduced training stress where training demand is intentionally reduced to mitigate physiological and psychological fatigue and promote recovery. A deload is commonly implemented to enhance readiness for subsequent training and occurs between or during training phases. During a deload, training is typically modified by reducing the intensity of effort, training volume, duration, or frequency. Adjustments in exercise selection are based on recovery goals and the specific demands of the athlete’s training. Deloads are commonly preplanned and implemented into the training program every 4–8 weeks based on the structure of the training cycle and recovery needs. Alternatively, deloads are sometimes applied reactively using an autoregulatory approach to accommodate unexpected fatigue or performance decrements. While deloading shares conceptual similarities with tapering and training cessation, it should be differentiated based on its objective, structure, and positionality with the overall training program. The purpose of this article is to describe the current research landscape, propose areas for future research, and to provide broad practical recommendations for implementing deloading within the strength and physique sports training program.

An individual’s training status is a key factor used to determine the volume, the intensity, and the selection of exercises for resistance training prescription. Interestingly, there are no objective parameters to assess training status, so there is ambiguity in determining the appropriate volume and other resistance training variables in this regard. Thus, the objective of this study was to propose a strategy for classification and determination of resistance training status. The following five parameters were identified and used: (a) current uninterrupted training time, (b) time of detraining, (c) previous training experience, (d) exercise technique, and (e) strength level. Moreover, 4 classification levels are proposed: beginner, intermediate, advanced, and highly advanced, which are determined by the mean score of the parameters used. The proposed model represents an important advancement in training status classification and can be used as a valid tool for training prescription and for researchers to better characterize a sample and reproduce results under the same conditions in future studies.

Mike Israetel discusses where strength training overlaps with hypertrophy training, and how you can get the best of both training methods.

In this video from the 2022 NSCA National Conference, Allison Randall discusses effective instructional strategies for coaches to utilize to promote psychomotor skill acquisition and performance in student-athletes.