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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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Time-restricted eating (TRE) is an application of intermittent fasting where an individual consumes their calories in a specific eating window (e.g., 8 hours) followed by a prolonged fasting window (e.g., 16 hours). Several randomized controlled trials have analyzed the combined effect of resistance training (RT) and TRE on physical adaptations, including fat mass (FM) loss, fat-free mass (FFM) retention, hypertrophy, local muscular endurance, power, and strength. In this mini review, we highlight the methodology and results from these studies and conclude by providing practical application suggestions for fitness professionals striving to maximize RT + TRE with their clientele. Generally, RT + TRE leads to positive body composition changes, including FM loss and FFM retention, which culminates in improved body fat percentage. Similarly, RT + TRE consistently stimulates positive neuromuscular adaptations, such as increased hypertrophy, local muscular endurance, power, and strength. When positive changes are not observed, and when safely implemented, RT + TRE rarely confers negative effects on the abovementioned adaptations. In short, RT + TRE may be a beneficial dietary and exercise strategy to improve body composition and muscular fitness. However, there are several caveats for practitioners to consider, which are discussed at length in this article.