Date of Award

Spring 4-16-2024

Degree Type

Dissertation

Degree Name

PhD Health Sciences

Department

Health and Medical Sciences

Advisor

Genevieve Zipp, EdD

Committee Member

Richard Boergers, PhD

Committee Member

Eric Helms, PhD

Keywords

Velocity-based-training, RPE, periodization, autoregulation, loading models

Abstract

Background: Periodization of the annual training plan is a commonly utilized tool within the strength and conditioning community. Within the periodized plan, load is a key variable that is often manipulated to optimize strength development. At the present moment, a common model for load prescription involves the use of a percentage-based training (PBT) plan. However, inherent problems within a PBT loading model may reduce the accuracy of the training stimulus due to various reasons including atypical one repetition maximum (1RM) performance, strength improvements, or an acute decrease in an individual’s ability to perform. Thus, autoregulatory loading models may be a more suitable modality for load prescription due to increased individualization of training loads. Purpose: To explore the effects of three different loading models on strength and body composition in resistance trained persons. Methods: An experimental, randomized cross-over design was used consisting of 23 resistance-trained persons. Participants were randomly divided into one of three groups: PBT (8), velocity-based training (VBT = 7), rating of perceived exertion-based training (RPE = 8). An initial assessment measured participants body weight, body composition via skinfold calipers, and 1RM for the barbell back squat, bench press, and deadlift. The training intervention consisted of training 3x/week on non-consecutive days. Following an eight week periodized training intervention, participants returned for a post-test. Results: Significant within group time interactions were observed (P < .0001) for the back squat, bench press, deadlift, and total. No between group significant differences were observed for the back squat (P = .727), bench press (P = .751), deadlift (P = .437), and total (P = .599). Conclusion: Various loading models may be used to increase strength in resistance trained persons. Despite these findings, autoregulatory loading models may still have merit for individualizing training load, particularly in experienced lifters.

Keywords: Velocity-based training, percentage-based training, RPE, periodization, autoregulation, loading models

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