The purpose of this article is to introduce strength and conditioning specialists to autism spectrum disorder (ASD) and to identify the many benefits of delivering exercise programs to children with ASD. In addition, the article aims to inform strength and conditioning specialists on how to minimize some of the inherent challenges associated with the delivery of such programs by highlighting critical issues for practitioners to consider when designing and implementing exercise programs for children with ASD.

An anterior cruciate ligament (ACL) tear is one of the most frequent injuries experienced by athletes of all levels. Because so many variables are at play, there is a great deal of controversy about how and why this occurs. In addition, there are various suggested appropriate steps to take to return to sport in the fastest and safest possible way. However, a major issue in injury recovery and return to sport practices is the lack of a gold-standard method or a consistent course of action that an athlete should undertake after suffering an ACL injury. Therefore, the purpose of this paper is to review the literature to determine evidence-based methods for return to sport after ACL reconstruction and provide practical recommendations to guide the process.

Velocity-based training (VBT) is a contemporary method of resistance training that enables accurate and objective prescription of resistance training intensities and volumes. This review provides an applied framework for the theory and application of VBT. Specifically, this review gives detail on how to: use velocity to provide objective feedback, estimate strength, develop load-velocity profiles for accurate load prescription, and how to use statistics to monitor velocity. Furthermore, a discussion on the use of velocity loss thresholds, different methods of VBT prescription, and how VBT can be implemented within traditional programming models and microcycles is provided.

This quiz assesses your knowledge of the content within the bench press module. You must achieve 10 correct responses. Your CEUs will recorded automatically in your NSCA record.

This quiz assesses your knowledge of the content within the power clean module. You must achieve 10 correct responses. Your CEUs will recorded automatically in your NSCA record.

This quiz assesses your knowledge of the content within the bench press module. You must achieve 10 correct responses. Your CEUs will recorded automatically in your NSCA record.

Eccentric resistance training has been shown to elicit beneficial effects on performance and injury prevention in sports because of its specific muscular and neural adaptations. Within the different methods used to generate eccentric overload, flywheel eccentric training has gained interest in recent years because of its advantages over other methods such as its portability, the ample exercise variety it allows and its accommodated resistance. Only a limited number of studies that use flywheel devices provide enough evidence to support the presence of eccentric overload. There is limited guidance on the practical implementation of flywheel eccentric training in the current literature. In this article, we provide literature to support the use of flywheel eccentric training and present practical guidelines to develop exercises that allow eccentric overload.

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.