A common obstacle to achieving recommended physical activity and desired training goals is time. This is true for recreationally trained adults and athletes, particularly at the collegiate level, where greater restrictions on practice time and training are in place. One possible solution is to implement time-saving and time efficient training routines and methods that may limit the amount of time needed to attain desired physiological adaptations—by decreasing the time needed to train and/or by increasing the frequency with which brief workouts are completed throughout the week (e.g., “microdosing”). To provide the most optimal training stimulus, the correct method must be used. Unfortunately, numerous terms describe routines and methods discussed in the current body of available literature, many of which may seem similar and lead to confusion. The purpose of this article is to outline the similarities and differences of the numerous timesaving and time-efficient training routines and methods. Ultimately, this article synthesizes the current research into practical recommendations as programming options for strength and conditioning coaches and personal trainers. The information provided may also serve as a foundation for future research opportunities in time-saving and time-efficient training.

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This continuing education opportunity explores a variety of topics as they pertain to sport psychology and coaching. To earn your CEUs, it will be necessary to review several articles and pass a 50-question quiz. Please note: this quiz awards 1.0 CEU (10 contact hours).

Puberty is a critical period for young athletes, characterized by significant physical, psychological, and social changes. During puberty, young athletes experience the adolescent growth spurt at the same time as intensified training regimens, which can affect performance, injury risk, and overall health. Systematic training can improve physiological and performance outcomes, but the increased training volume and changes to the body during adolescence can also heighten the risk of injuries. This article discusses the injury risks associated with adolescent growth and provides comprehensive recommendations to mitigate these risks. Key recommendations include limiting training hours to the athlete’s age, monitoring growth and maturation to adjust training loads and content, and incorporating and modifying consistent strength and conditioning prescriptions. In addition, optimal nutrition, sleep, and interdisciplinary planning among coaches, parents, and stakeholders should be emphasized to support young athletes’ holistic development and well-being during the adolescent growth spurt.

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.

Maximal force can be expressed across a range of conditions influenced by the external load and the time available to express force. As a result, several distinct and specific strength qualities exist. Conversely, some expressions of maximal force are similar and can be categorized as a single quality. Therefore, strength assessment systems must be sophisticated enough to isolate and measure each quality while minimizing redundant information. This article presents a contemporary, evidence-based and practical framework that reduces the many strength and speed-strength metrics into 5 distinct qualities. Alongside this, we present case examples of the application of strength diagnosis.

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