Cutting-Edge Strategies in Resistance Training: Exploring Innovative Approaches

A special issue of Sports (ISSN 2075-4663).

Deadline for manuscript submissions: closed (15 November 2024) | Viewed by 2547

Special Issue Editors


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Guest Editor
Physiology of Work and Exercise Response (POWER) Laboratory, Institute of Exercise Physiology and Rehabilitation Science, School of Kinesiology and Physical Therapy University of Central Florida, 12494 University Blvd., Orlando, FL 32816, USA
Interests: resistance training; nutrition; ergogenic aids; dietary supplements; body composition; muscle fatigue
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Special Issue Information

Dear Colleagues,

This Special Issue delves into innovative methods in resistance training. We explore advancements that push the boundaries of traditional approaches, aiming to optimize athletic performance, physique development, and overall health benefits. Potential topics of interest include cluster-set configurations, movement velocity-based approaches, dose–response analyses, the manipulation of training variables according to age- and sex-based differences, as well as recovery strategies.

This Special Issue also ventures into the realm of artificial intelligence (AI) in resistance exercise for health and performance. Besides data analysis pipelines, we are especially interested in examining how AI-powered systems can personalize resistance training programs, tailoring exercise selection, load monitoring/progression, and recovery strategies to individual needs and goals.

By showcasing the latest scientific evidence and practical applications, we aim to equip researchers, practitioners, and athletes with cutting-edge tools to assist in designing resistance training programs for specific goals. Hence, we invite colleagues from around the world to submit to this Special Issue their latest research findings, including experimental clinical studies, epidemiological validation studies, and systematic reviews with meta-analyses. We encourage researchers studying these interventions to follow the Preferred Reporting Items for Resistance Exercise Studies (PRIRES) guidelines to increase transparency, quality, and reproducibility. In the case of systematic reviews, authors must adhere to the PRISMA extension in Exercise, Rehabilitation, Sport Medicine, and Sports Science (PERSiST) guidelines.

Prof. Dr. Richard B. Kreider
Prof. Dr. Jeffrey Stout
Guest Editors

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Keywords

  • resistance training
  • muscle strength
  • physical fitness
  • exercise physiology
  • velocity-based training
  • training load
  • physiological adaptations
  • physiological stress response

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Published Papers (2 papers)

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Research

13 pages, 823 KiB  
Article
A Comparison of Three Protocols for Determining Barbell Bench Press Single Repetition Maximum, Barbell Kinetics, and Subsequent Measures of Muscular Performance in Resistance-Trained Adults
by Matthew T. Stratton, Austin T. Massengale, Riley A. Clark, Kaitlyn Evenson-McMurtry and Morgan Wormely
Sports 2024, 12(12), 334; https://doi.org/10.3390/sports12120334 - 3 Dec 2024
Viewed by 581
Abstract
Background: One repetition maximum (1RM) is a vital metric for exercise professionals, but various testing protocols exist, and their impacts on the resulting 1RM, barbell kinetics, and subsequent muscular performance testing are not well understood. This study aimed to compare two previously established [...] Read more.
Background: One repetition maximum (1RM) is a vital metric for exercise professionals, but various testing protocols exist, and their impacts on the resulting 1RM, barbell kinetics, and subsequent muscular performance testing are not well understood. This study aimed to compare two previously established protocols and a novel self-led method for determining bench press 1RM, 1RM barbell kinetics, and subsequent muscular performance measures. Methods: Twenty-four resistance-trained males (n = 12, 24 ± 6.1 years) and females (n = 12, 22.5 ± 5.5 years) completed three laboratory visits in a randomized crossover fashion. During each visit, a 1RM was established using one of the three protocols followed by a single set to volitional fatigue using 80% of their 1RM. A Sex:Protocol repeated measures ANOVA was used to determine the effects of sex and differences between protocols. Results: No significant differences were observed between the protocols for any measure, except for 1RM peak power (p = 0.036). Post hoc pairwise comparisons failed to identify any differences. Males showed significantly higher 1RM, average, and peak power (ps < 0.001), while females demonstrated a greater average concentric velocity (p = 0.031) at 1RM. Conclusions: These data suggest the protocol used to establish 1RM may have minimal impact on the final 1RM, 1RM barbell kinetics, and subsequent muscular endurance in a laboratory setting. Full article
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12 pages, 839 KiB  
Article
Using the Isometric Mid-Thigh Pull to Predict Three-Repetition Maximum Squat Values in Female Athletes
by Keely Pasfield, Nick Ball and Dale Wilson Chapman
Sports 2024, 12(9), 230; https://doi.org/10.3390/sports12090230 - 26 Aug 2024
Viewed by 1446
Abstract
Prescribing correct training loads in strength- and power-based sports is essential to eliciting performance improvements for athletes. Concurrently, testing strength for the prescription of training loads should be accurate and safe with minimal disruption or fatigue inducement to the athlete. The purpose of [...] Read more.
Prescribing correct training loads in strength- and power-based sports is essential to eliciting performance improvements for athletes. Concurrently, testing strength for the prescription of training loads should be accurate and safe with minimal disruption or fatigue inducement to the athlete. The purpose of this study was to develop a prediction equation in female athletes for the three-repetition maximum (3RM) squat using the isometric mid-thigh pull and basic anthropometric assessments that could be practically applied to support training prescriptions. Female athletes (n = 34) were recruited from netball, volleyball, basketball, and soccer across a spectrum of competitive standards. Each athlete’s weight, standing height, seated height, arm span, and biacromial breadth were recorded, and then, on separate occasions separated by at least 48 h, each athlete completed a 3RM squat test and an isometric mid-thigh pull (IMTP) assessment. IMTP variables of peak force and time-dependent force at 50, 100, 150, 200, and 250 ms, as well as anthropometric measures, were used to develop a prediction equation. Squat strength was low-to-moderately correlated with peak force (r = 0.386); force at 100 ms (r = −0.128), 150 ms (r = −0.040), and 200 ms (r = −0.034); standing height (r = 0.294); and biacromial breadth (r = −0.410). Stepwise multiple regression significantly (p < 0.05) explained 26% of the 3RM squat strength variation using peak force and force at 100 ms, resulting in the following equation: Predicted 3RM squat (kg) = [6.102 + (Peak Force × 0.002) − (Force@100 ms × 0.001)]2. The reported equation’s predictive accuracy was tested using the same testing protocols following 6–8 weeks of training in a sub-cohort of athletes (n = 14). The predicted and actual recorded 3RM values were not significantly (p = 0.313) different, supporting the use of the IMTP as a test that contributes informative values for use in a predictive equation for training prescription and thus reducing the testing and fatigue-inducing impost on female athletes. However, the 95% CI (−4.18–12.09) indicated predicted values could differ in excess of 10 kg. This difference could lead to an excessive load prescription for an athlete’s training program, indicating caution should be taken if using the described method to predict 3RM squat values for programming purposes. Full article
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