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Scholarship Artifacts 

EXSC 9150 - Evidence-Based Professional Portfolio I

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Simple Editorial Article Page A4 Documen

Fall 2025

Scholarship # 1

Effective Strategies & Interventions for Optimal Performance

Abstract

This article examines evidence-based strategies for optimizing athlete performance through resistance training, load monitoring, and specific recovery interventions. Randomized trials and systematic reviews highlight how velocity-based training protocols and auto-regulatory methods can improve neuromuscular performance. Structured recovery practices, such as infrared sauna sessions and cold water immersion, are suggested to enhance readiness. Additionally, eccentric training protocols help reduce the risk of initial injuries. The central focus of this paper is that athlete performance is optimized when training prescriptions, recovery initiatives, and load monitoring operate as an integrated system rather than as individualized practices. This paper draws on experimental evidence across various domains and argues that a unified approach grounded in specific data and adaptive recovery promotes sustainable performance, injury prevention, and long-term athletic development. ​ Keywords: athlete performance, training load monitoring, recovery strategies, resistance training, injury prevention ​                                                                                  Meta-description  This paper explores evidence-based strategies to enhance athlete performance through individualized resistance training, precise load monitoring, and targeted recovery methods that promote adaptation, injury prevention, and long-term athletic development.

EXSC 9250 - Evidence-Based Professional Portfolio II

Scholarship # 2

Performance Readiness Model.png

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Effective Strategies & Interventions for Optimal Performance

Abstract

Medical clearance for musculoskeletal injuries does not reliably predict an athlete's ability to perform at their best. Several factors influence the return-to-play process, including the athlete's perception, psychological aspects, and the specific demands of competition. Addressing these elements is crucial to ensuring a safe return to sport. Athletes who meet clinical criteria may still display compensatory movements, hesitation, and inconsistent effort levels in high-pressure environments such as competitions. These observations indicate a significant gap between measurable functionality and readiness for sport-specific performance. This gap is referred to as the "Readiness Gap," highlighting the disconnect between preparation and reliable execution in unpredictable scenarios. To address this issue, a structured framework is necessary to guide return-to-play progression decisions, suitable for both strength and conditioning professionals and rehabilitation specialists. This article introduces the Performance Readiness Model (PRM), a four-tiered system that organizes progression criteria based on observable behaviors under increasing loads and demands of the sport, rather than relying solely on isolated performance metrics. The PRM is rooted in research related to the biopsychosocial model, fear avoidance, kinesiophobia, self-efficacy, pain neuroscience, and dual process theory. The four tiers of the model encompass physical readiness, psychological readiness, decision-making under stress, and game or sport integration. Each layer is defined by observable behavioral indicators, training methods, and specific progression criteria, making it a practical tool for strength and conditioning professionals working with athletes post-rehabilitation. Keywords: return to sport, psychological readiness, fear-avoidance, kinesiophobia, self-efficacy, OPTIMAL theory, schema theory, stress inoculation, strength and conditioning, performance readiness Keywords: return to sport, psychological readiness, fear-avoidance, kinesiophobia, self-efficacy, OPTIMAL theory, schema theory, stress inoculation, strength and conditioning, performance readiness

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EXSC 9500 - Evidence-Based Professional Portfolio III

Scholarship # 3

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