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Interlimb asymmetries have been recently investigated in athletic populations. However, the effects of training interventions on interlimb asymmetries have been scarcely examined. Therefore, the aim of this study was to determine the effects of training interventions on changes in interlimb asymmetries from pre- to post-training. Furthermore, to examine the effects of training programs on intervention groups compared with control groups. A database search was completed (MEDLINE, CINAHL, and SPORTDiscus). Eight studies were then included in the meta-analysis. Results showed small reductions in interlimb asymmetries in single-leg broad jump (SLBJ) and change of direction (COD) speed from pre- to post-training interventions, whereas moderate effects were found in single-leg countermovement jump (SLCMJ) and SL lateral jump. When comparing the training interventions with the control groups, results showed small effects in favor of the training groups for reducing interlimb asymmetries in SLBJ and large effects in SLCMJ and COD speed. Thus, training interventions can evoke small to moderate reductions in interlimb asymmetries from pre- to post-training programs. Strength training performed unilaterally or bilaterally may elicit these reductions. Furthermore, training interventions showed larger effects compared with the control groups in reducing interlimb asymmetries. However, further research is needed.

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.

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.

The benefits of resistance training are almost overwhelming, however, too few older adults participate in resistance training, largely because of fear, confusion, and lack of consensus to guide implementation. It is the hope that this position statement may have a positive impact addressing these issues and on empowering healthier aging.