This excerpt from NSCA’s Essential of Tactical Strength and Conditioning explores the neural and muscular adaptations to training over time.

Brad Schoenfeld, MS, CSCS, CSPS, NSCA-CPT discusses training intensity for maximum results.

This article contains examples of how to periodize training programs to help aerobic endurance athletes reach their peak condition at the appropriate time of the year.

The ability to manage the adaptive response, handle accumulated fatigue, and capitalize on the aftereffects established from training is central to the training process.

This article discusses overtraining risk factors in endurance athletes and provides strategies for optimizing effective programming. Visit NSCA online to learn more about athletic performance.

This article addresses three main areas of resistance exercise that best prepares tactical personnel for load carriage.

This excerpt from the book Developing Endurance, published by Human Kinetics, presents a sample 5K training plan for runners.

Research shows that the appropriate integration of resistance training into the endurance athlete’s training can result in significantly better performance when compared to classic endurance training plans that focus only on aerobic endurance.

The innovative technology found in portable BFR training systems can help tactical personnel achieve greater strength and hypertrophic gains, as well as optimize training programs and overall performance.

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.