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The Effects of CrossFit® Practice on Physical Fitness and Overall Quality of Life

Bibliographic Data

ID15469394
AuthorsManoel Rios (0000-0002-3574-6692, Universidade do Porto, corresponding author), David B Pyne (0000-0003-1555-5079, University of Canberra), Ricardo J Fernandes (0000-0002-8023-1604, Universidade do Porto)
Year2024
Volume22
Issue1
Pages19-19
Publication date2024-12-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph22010019
PMID39857472
OpenAlexW4405920720
LanguageEN
Citations received1
References cited50

We have examined the impact of CrossFit ® workout sessions on physical fitness, comparing the obtained outcomes with the recommendations of the American College of Sports Medicine. In addition, we provide suggestions to improve training monitoring, as well as practical applications for researchers, coaches and practitioners. CrossFit ® imposes high cardiorespiratory and metabolic demands, promoting improvements in circulatory capacity, oxidative metabolism and muscular endurance. Sustained elevations in heart rate contribute to cardiovascular conditioning, while a post-exercise hypotensive effect may help to reduce cardiovascular risks. Structured CrossFit ® programs have led to improvements in maximal strength and muscular endurance, with substantial increases in squat performance observed in both untrained and recreationally active individuals. In addition, CrossFit ® improves mental health through its motivating community. However, the high metabolic demands, increased creatine kinase levels and reduced performance in the countermovement jump reveal that muscle damage and neuromuscular fatigue can persist for up to 48 h. Balancing these intense sessions with adequate recovery is crucial, as improper management may lead to overtraining and compromise fitness gains. Future research should explore long-term cardiovascular adaptations, differences in gains and recovery between males and females and the application of real-time biomarker and artificial intelligence technologies to improve the training efficiency and safety. Machine learning algorithms could further personalize feedback, adapting to each individual's biomechanics and physiological responses over time

Athletes · Calisthenics · Cardiorespiratory fitness · Overtraining · Physical fitness · Physical medicine and rehabilitation · Physical therapy · Squat · Cardiovascular and exercise physiology · Cardiovascular Effects of Exercise · Medicine · Psychology · Sports Performance and Training

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo

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