Cutting-Edge Strategies in Resistance Training: Exploring Innovative Approaches

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.

Dr. Diego A. Bonilla
Prof. Dr. Jeffrey Stout
Prof. Dr. Richard B. Kreider
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.

• • Resistance training • Muscle strength • Physical fitness • Exercise physiology • Velocity-based training • Training load • Physiological adaptations • Physiological stress response