A substantial body of literature has focused on weightlifting derivative lifts, primarily emphasizing the second pull phase because of its greater expression of force, velocity, and power output. The biomechanical resemblance of this phase to various athletic movements underscores the relevance of these derivatives in physical preparation across multiple sports. However, although the findings of these studies greatly enhance our understanding of their effectiveness in enhancing neuromuscular qualities, there remains a noticeable gap in the literature regarding the importance of the first pull phase, specifically within the sport of weightlifting. The aim of this review was to elucidate the relative importance of the first pull phase in snatch and clean & jerk performance and to explore the selection of specific pull derivative exercises that target the strength development of this phase of the lifts.

Researchers and practitioners have highlighted the necessity to monitor jump strategy metrics and the commonly reported outcome measures during the countermovement jump (CMJ) and drop jump (DJ) tests. However, there is a risk of confusion for practitioners, given the vast range of metrics that now seem to be on offer via analysis software when collecting data from force platforms. As such, practitioners may benefit from a framework that can help guide metric selection for commonly used jump tests, which is the primary purpose of this article. To contextualize the proposed framework, we have provided 2 examples for how this could work: one for the CMJ and one for the DJ, noting that these tests are commonly used by practitioners during routine testing across a range of sport performance and clinical settings.

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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.

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This study aimed to analyze the time under tension (TUT) behavior in the bench press exercise performance in recreationally trained individuals. A systematic review was performed based on the PRISMA recommendations and registered on PROSPERO (CRD42022301830). MEDLINE (PubMed), Scopus, SPORTDiscus, and Lilacs (BVS) databases were consulted with the terms (resistance training [Title/Abstract]) OR (strength training [Title/Abstract]) AND (time under tension [Title/Abstract]). Cohort studies that analyzed the TUT in the bench press exercise in individuals with experience in resistance training were included. We used the Critical Appraisal Skills Program tool to analyze the methodological quality of the included studies. Thirteen studies met the inclusion criteria. The total number of participants was 215 individuals (179 men and 36 women). TUT was analyzed from the manipulation of each study variable. The behavior of the TUT in the bench press exercise varies according to the training protocol and method used. The TUT and the number of repetitions can vary to quantify the training volume.

Key performance indicators (KPIs) are commonplace in business and sport. They offer an objective means to link data and processes with performance outcomes. Yet, their application in sports performance, particularly team sports, is not without issue. Here, we review 4 key issues relating to KPI application in team sports; lack of a universal definition, complexity of performance, drifting from on-field performance goals with off-field targets, and agency issues across different key stakeholders. With these issues relating to sports performance KPIs in mind, we propose a complementary approach to help practitioners focus on implementing the conditions that create performance environments and opportunities for success in a complex sporting environment. Ongoing process trackers (OPTs) are quantifiable measures of the execution of behaviors and processes that create the environments, cultures, and conditions for successful performance outcomes. This approach equips sports science practitioners with key questions they can ask themselves and their team when starting to select and use OPTs in their program.

An emerging body of research has explored the potential ergogenic effects of noninvasive interset recovery strategies involving the application of cold substances to the extremities distal to exercising muscles (e.g., palms of the hands or the soles of the feet). It was suggested that such strategies may acutely enhance resistance training (RT) performance by augmenting excitation and motor unit recruitment of the working muscles through enhanced stimulation of the central nervous system, resulting in greater force production and the ability to perform more repetitions to fatigue. Moreover, peripheral stimuli such as distal cooling may acutely reduce the sensation of distress during RT, allowing individuals to tolerate more exercise and achieve higher training volumes. Although there is some evidence that interset distal cooling confers an ergogenic benefit during RT, certain methodological considerations, a paucity of longitudinal research, and contrasting findings call into question its effectiveness. Thus, the purpose of this review is to assess the current evidence regarding the effects of interset palm and sole cooling on RT performance outcomes.

One resistance training variable that may be altered to achieve desired outcomes is the range of motion used in training. Generally, the strength and conditioning field has accepted that using a greater range of motion in strength training exercises results in more substantial muscle hypertrophy outcomes. However, this theory has proved to be inconsistently supported in the literature, and to date, no sufficient explanation exists to explain this phenomenon. This review article seeks to outline a novel approach for potentially describing the disparities seen in range of motion research with respect to hypertrophy outcomes by applying the unique length-tension curve of each muscle being examined. As will be discussed in the review, virtually all the results from range of motion studies in various muscles have corresponded to each muscle’s length-tension curve; muscles that are active on the descending limb of the curve appear to garner greater hypertrophy from using larger ranges of motion. Conversely, muscles that are not active on the descending limb exhibit similar adaptations despite alterations in range of motion. A novel hypothesis for applying this information to resistance training programs will be presented and discussed.