The NSCA Conference Committee and local leadership invite the submission of presentations for TSAC Annual Training. Please note, all presentations must be delivered in English.

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Learn, participate and network with colleagues at (location) while earning CEUs. Hosted by the state, provincial and regional directors, this local event brings cutting-edge research and application to your backyard.

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Learn, participate and network with colleagues at (location) while earning CEUs. Hosted by the state, provincial and regional directors, this local event brings cutting-edge research and application to your backyard.

Deloading is widespread, but its application is often inconsistent and undervalued. That gap caught Lee Bell’s attention after discovering there was no consensus definition. Bell is a Senior Lecturer at Sheffield Hallam University who focuses on the deloading, overtraining, and overreaching spectrum. He explains how overtraining and overreaching are sometimes used synonymously. That confusion is compounded further by associations with overtraining syndrome (OTS). Instead, Bell frames overreaching as a “window of opportunity” when used intentionally. For example, a planned overreach can be functional or non-functional based on recovery. Bell also examines opportunities and tradeoffs in modern periodization models. He contrasts flexible and fluid approaches with more traditional, rigid programming; each approach has implications for athlete trust and recovery. Looking ahead, Bell envisions a collaborative approach to sport science driven by coaching needs. He reflects on recent coaching survey data and the key themes that emerged for the future. Hear his perspective on next steps in velocity-based training, individualized periodization, and variability. Reach out to Lee via Instagram: @lee3ell and LinkedIn: @lee-bell| Find Eric on Instagram: @ericmcmahoncscs and LinkedIn: @ericmcmahoncscs → Read the SCJ article co-authored by Lee Bell referenced in this episode: A Practical Approach to Deloading: Recommendations and Considerations for Strength and Physique Sports.

Exercise is increasingly recognized as an effective, nonpharmacological approach for managing both acute and chronic pain. However, accurate pain assessment methods tailored to different exercise settings and populations are essential. This review evaluates existing pain assessment techniques, highlighting self-report measures such as the Visual Analog Scale and Numerical Rating Scale, as well as quantitative measures, such as Pressure Pain Threshold and Conditioned Pain Modulation. These techniques provide valuable insights into the neurophysiological mechanisms behind pain reduction. Although exercise commonly produces a temporary reduction in pain sensitivity known as exercise-induced hypoalgesia (EIH), the effectiveness of this response depends on various factors, such as exercise intensity, psychological state, and pre-existing pain conditions. In addition, exercise itself can sometimes lead to short-term discomfort due to muscle fatigue or delayed-onset muscle soreness. This review offers strength and conditioning providers, as well as researchers, a clear framework for (a) selecting appropriate pain assessment tools, (b) designing research protocols, and (c) customizing exercise interventions for specific populations and pain conditions. By examining self-report and quantitative assessment techniques, along with considerations for data analysis and practical application, this review helps strength and conditioning professionals interpret the literature surrounding EIH and apply practical pain monitoring strategies to guide training and recovery in various populations.

Join the 2026 NSCA Performance Science Integration Summit in Austin, TX, on March 28. Explore applied sport science research, train hands-on, and earn 0.8 CEUs.

Learn, participate and network with colleagues in your state/province or region while earning CEUs. Hosted by the state, provincial and regional directors, these local events bring cutting-edge research and application to your backyard.