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Sports
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Cutting-Edge Strategies in Resistance Training: Exploring Innovative Approaches
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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 1640

Special Issue Editors

Prof. Dr. Richard B. Kreider

E-Mail Website
Guest Editor
Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Texas A&M University, College Station, TX 77843, USA
Interests: exercise physiology; sports nutrition; performance enhancement; weight loss; women's health
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jeffrey R. Stout

E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sports is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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 (1 paper)

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Research

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 1184
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
(This article belongs to the Special Issue Cutting-Edge Strategies in Resistance Training: Exploring Innovative Approaches)
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