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Search Results (3,490)

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12 pages, 897 KiB  
Article
Relationship Between Body Composition and Physical Literacy in Chilean Children (10 to 16 Years): An Assessment Using CAPL-2
by Nicolás Muñoz-Urtubia, Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda, Nicolás Contreras-Barraza, María Mendoza-Muñoz, Wladimir Ureta-Paredes and Remik Carabantes-Silva
J. Clin. Med. 2024, 13(23), 7027; https://doi.org/10.3390/jcm13237027 - 21 Nov 2024
Abstract
Objectives: The aim of this study was to evaluate the levels of physical literacy (PL) in school children (10 to 16 years) in Santiago, Chile, and to explore the relationship between PL and body mass index (BMI). In addition, gender and age differences [...] Read more.
Objectives: The aim of this study was to evaluate the levels of physical literacy (PL) in school children (10 to 16 years) in Santiago, Chile, and to explore the relationship between PL and body mass index (BMI). In addition, gender and age differences were analyzed in relation to PL levels in a context where childhood obesity remains a public health challenge. Methods: A total of 439 students in grades 5–8 were assessed using the Canadian Assessment of Physical Literacy-2 (CAPL-2) questionnaire. Demographic variables (sex, age, and BMI) were correlated with levels of motivation to engage in physical activity and physical activity knowledge. Chi-square and effect size were applied. Results: The results revealed a significant correlation between motivation for physical activity and gender, with boys showing higher levels of motivation than girls (χ² = 12.403, p < 0.006). In addition, an inverse relationship was observed between BMI and motivation (effect size = 0.198), suggesting that more motivated children tend to have a healthier BMI. Knowledge about physical activity increased with age (χ² = 60.460, p < 0.001) but did not have a significant influence on BMI. Conclusions: The findings highlight the need to design gender-specific interventions that enhance motivation as a key factor in promoting a healthy lifestyle and physical activity adherence. Public health strategies should include motivation-driven approaches to foster physical literacy and long-term engagement in physical activity, particularly for girls, to address pediatric health challenges in Chile. Public health policies should address these factors to improve pediatric health outcomes. Full article
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<p>Relation between demographic variables and PL variables: (<b>a</b>) sex and motivation level, (<b>b</b>) nutritional category and motivation level, (<b>c</b>) age and knowledge level, and (<b>d</b>) age and nutritional category.</p>
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15 pages, 1516 KiB  
Review
Impact of Alpha-Ketoglutarate on Skeletal Muscle Health and Exercise Performance: A Narrative Review
by Miaomiao Xu, Qiao Zhang, Xiaoguang Liu, Liming Lu and Zhaowei Li
Nutrients 2024, 16(22), 3968; https://doi.org/10.3390/nu16223968 - 20 Nov 2024
Viewed by 330
Abstract
AKG, a central metabolite in the Krebs cycle, plays a vital role in cellular energy production and nitrogen metabolism. This review explores AKG’s potential therapeutic applications in skeletal muscle health and exercise performance, focusing on its mechanisms for promoting muscle regeneration and counteracting [...] Read more.
AKG, a central metabolite in the Krebs cycle, plays a vital role in cellular energy production and nitrogen metabolism. This review explores AKG’s potential therapeutic applications in skeletal muscle health and exercise performance, focusing on its mechanisms for promoting muscle regeneration and counteracting muscle atrophy. A literature search was conducted using the PubMed, Web of Science, and Scopus databases, yielding 945 articles published up to 31 October 2024. Of these, 112 peer-reviewed articles met the inclusion criteria and formed the basis of this review. AKG supports muscle recovery by stimulating muscle satellite cells (MuSCs) and macrophage polarization, aiding muscle repair and reducing fibrosis. Additionally, AKG shows promise in preventing muscle atrophy by enhancing protein synthesis, inhibiting degradation pathways, and modulating inflammatory responses, making it relevant in conditions like sarcopenia, cachexia, and injury recovery. For athletes and active individuals, AKG supplementation has enhanced endurance, reduced fatigue, and supported faster post-exercise recovery. Despite promising preliminary findings, research gaps remain in understanding AKG’s long-term effects, optimal dosage, and specific pathways, particularly across diverse populations. Further research, including large-scale clinical trials, is essential to clarify AKG’s role in muscle health and to optimize its application as a therapeutic agent for skeletal muscle diseases and an enhancer of physical performance. This review aims to provide a comprehensive overview of AKG’s benefits and identify future directions for research in both clinical and sports settings. Full article
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<p>Metabolic role of AKG in the TCA cycle and nitrogen metabolism. This figure illustrates AKG’s role within the TCA cycle, in which it facilitates the conversion of isocitrate to succinyl-CoA, generating NADH for ATP synthesis. AKG also participates in nitrogen metabolism through transamination, producing glutamate, which serves as a precursor for amino acids like GABA, GSH, and essential amino acids, such as aspartate, glutamine, leucine, and proline. These pathways underscore AKG’s contribution to cellular energy production, amino acid synthesis, and nitrogen balance. TCA, tricarboxylic acid; AKG, alpha-ketoglutarate; NADH, nicotinamide adenine dinucleotide; GSH, glutathione; GABA, gamma-aminobutyric acid.</p>
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<p>Role of AKG in skeletal muscle regeneration. The diagram illustrates how AKG contributes to skeletal muscle regeneration by promoting MuSCs’ proliferation and macrophage polarization. AKG, alpha-ketoglutarate; MuSCs, muscle satellite cells.</p>
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<p>AKG’s role in alleviating skeletal muscle atrophy. The diagram illustrates how AKG alleviates skeletal muscle atrophy by inhibiting lipotoxicity, inflammation, ROS generation, and promoting protein synthesis. PHD3, proline hydroxylase 3; ADRB2, β2 adrenergic receptor; TNF-α, tumor necrosis factor α; IGF-1, insulin-like growth factor 1.</p>
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<p>Timing and effects of AKG supplementation on exercise performance. Pre-workout AKG boosts energy and reduces fatigue; intra-workout sustains energy and performance; post-workout aids recovery and protein synthesis. AKG enhances endurance and reduces fatigue in endurance training while supporting muscle growth and strength in strength training.</p>
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2 pages, 132 KiB  
Correction
Correction: Asonitou, K.; Koutsouki, D. PASS Theory and Movement Disorders: Methodology for Assessment and Intervention. Children 2024, 11, 1192
by Katerina Asonitou and Dimitra Koutsouki
Children 2024, 11(11), 1406; https://doi.org/10.3390/children11111406 - 20 Nov 2024
Viewed by 105
Abstract
In the original publication [...] Full article
40 pages, 2535 KiB  
Review
Endurance in Long-Distance Swimming and the Use of Nutritional Aids
by Álvaro Miguel-Ortega, Julio Calleja-González and Juan Mielgo-Ayuso
Nutrients 2024, 16(22), 3949; https://doi.org/10.3390/nu16223949 - 19 Nov 2024
Viewed by 244
Abstract
Background: Long-distance swimmers exert energetic, physiological, and neuromuscular demands that must be matched with adequate body composition to improve their performance in long-distance swimming. Objectives: This review aims to compile all available information on energetic and physiological demands, optimal body composition, nutrition, and [...] Read more.
Background: Long-distance swimmers exert energetic, physiological, and neuromuscular demands that must be matched with adequate body composition to improve their performance in long-distance swimming. Objectives: This review aims to compile all available information on energetic and physiological demands, optimal body composition, nutrition, and ergogenic supplements in long-distance swimming. This will provide an understanding of the specific challenges and needs of this sport and will help swimmers and coaches design more effective training and nutrition plans to optimise performance and achieve their goals. Methods: Databases such as Web of Science, SciELO Citation Index, MEDLINE (PubMed), Current Contents Connect, KCI-Korean Journal Database, and Scopus were searched for publications in English using keywords such as swimming, endurance, energy demands, physiological demands, nutrition, body composition, and ergogenic aids, individually or in combination. Results: There is convincing evidence that several physical indicators, such as propulsive surface area, technical, such as stroke rate, and functional, such as hydration strategies, are related to swimming performance and body composition. Each athlete may have a specific optimal body fat level that is associated with improved sporting performance. The nutritional needs of open water swimmers during competition are quite different from those of pool swimmers. Conclusions: Swimmers with an adequate physique have a high body muscle mass and moderately related anaerobic strength both on land and in the water. These general and specific strength capacities, which are given by certain anthropometric and physiological characteristics, are seen throughout the work, as well as ergogenic and nutritional strategies, which have an important impact on long-distance swimming performance. Full article
(This article belongs to the Special Issue Dietary Supplements and Exercise Performance)
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<p>PICOS models.</p>
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<p>Risk of bias graph. Green for negligible risk of bias, yellow for unclear risk of bias, and red for substantial risk of bias. Shows the overall risk of bias for each domain. For example, the length of the green rectangle means the number of studies assessed as minimal risk of bias.</p>
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<p>Study selection flowchart [<a href="#B49-nutrients-16-03949" class="html-bibr">49</a>]. (This work is licensed under CC BY 4.0. To view a copy of this license, visit <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a> (accessed on 30 October 2024)).</p>
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<p>Influence of the swimmer’s BC on swimming efficiency, according to Navarro et al. [<a href="#B171-nutrients-16-03949" class="html-bibr">171</a>].</p>
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20 pages, 3880 KiB  
Article
Zingiber officinale Uncovered: Integrating Experimental and Computational Approaches to Antibacterial and Phytochemical Profiling
by Abdel Moneim Elhadi Sulieman, Safa Mustafa Ibrahim, Mamdouh Alshammari, Fahad Abdulaziz, Hajo Idriss, Naimah Asid H. Alanazi, Emad M. Abdallah, Arif Jamal Siddiqui, Sohair A. M. Shommo, Arshad Jamal and Riadh Badraoui
Pharmaceuticals 2024, 17(11), 1551; https://doi.org/10.3390/ph17111551 - 19 Nov 2024
Viewed by 387
Abstract
Background: Zingiber officinale rhizome is widely cultivated in the central region of Sudan (Gezira) and data on the biological properties of this variety grown in Sudan’s climate are scarce. This study aims to comprehensively analyze the antibacterial, antioxidant, phytochemical, and GC-MS properties of [...] Read more.
Background: Zingiber officinale rhizome is widely cultivated in the central region of Sudan (Gezira) and data on the biological properties of this variety grown in Sudan’s climate are scarce. This study aims to comprehensively analyze the antibacterial, antioxidant, phytochemical, and GC-MS properties of Zingiber officinale (ginger rhizome) to explore its potential applications. Methods and Results: The in vitro antibacterial assessment of the aqueous extract of Sudanese ginger revealed moderate activity against Staphylococcus aureus, Salmonella typhi, Pseudomonas aeruginosa, Escherichia coli, and Klebsiella pneumonia, as determined by the disc diffusion method. The inhibition zones ranged from 12.87 ± 0.11 mm to 14.5 ± 0.12 mm at 30 µg/disc. The minimum inhibitory concentration ranged from 6.25 to 25 µg/mL, while the MBC ranged from 25 to 50 µg/mL. The MBC/MIC exhibited a bactericidal effect against all tested bacteria. Phytochemical screening revealed the presence of various chemical constituents, such as saponins, flavonoids, glycosides, alkaloids, steroids, terpenoids, and the absence of tannins in Sudanese ginger rhizome. Furthermore, GC-MS analysis of ginger rhizome identified 22 chemical compounds with retention times ranging from 7.564 to 17.023 min. The identification of 22 chemical compounds through GC-MS analysis further underscores the prospect of harnessing ginger rhizome for the development of novel medications. Computational analyses showed that ginger compounds bind the Protein Data Bank (PDB) codes 1JIJ and 2QZW with high binding affinities, reaching −9.5 kcal/mol. Ginger compounds also established promising molecular interactions with some key residues, satisfactorily explaining the in vitro results and supporting the pharmacokinetic and experimental findings. Conclusions: This study lays the groundwork for future research and pharmaceutical exploration aimed at harnessing the beneficial properties of ginger rhizome for medicinal and therapeutic purposes, particularly its antimicrobial potential. Full article
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Graphical abstract
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<p>GC-MS chromatogram of ginger (<span class="html-italic">Z. officinale</span>) rhizome.</p>
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<p>Boiled-egg model of the identified ginger phytochemicals. The yellow and white areas correspond to the BBB (blood–brain barrier) permeation and GI (gastro-intestinal) absorption, respectively.</p>
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<p>Hydrophobic illustration of compound no. <b>22</b> (kaempferol), which has the best binding affinities of −9.5 and −7.5 kcal/mol, bound to 1JIJ (<b>A</b>) and 2QZW (<b>B</b>) and their resulting 3D interactions (<b>A’</b> and <b>B’</b>, respectively). Both 1JIJ and 2QZW are Protein Data Bank codes.</p>
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<p>Two-dimensional diagrams of interactions of compound no. <b>22</b> (kaempferol) with 1JIJ (<b>A</b>) and 2QZW (<b>B</b>).</p>
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<p>Ginger rhizome cultivated in Sudan: (<b>A</b>) the underground stem (rhizome); (<b>B</b>) the areal parts of the plant (<span class="html-italic">Zingiber officinale</span>).</p>
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25 pages, 1091 KiB  
Review
Towards Precision Sports Nutrition for Endurance Athletes: A Scoping Review of Application of Omics and Wearables Technologies
by Leon Bedrač, Leon Deutsch, Sanja Terzić, Matej Červek, Julij Šelb, Urška Ašič, Laure M. G. Verstraeten, Enej Kuščer and Filip Cvetko
Nutrients 2024, 16(22), 3943; https://doi.org/10.3390/nu16223943 - 19 Nov 2024
Viewed by 674
Abstract
Background: Endurance athletes require tailored nutrition strategies to optimize performance, recovery, and training adaptations. While traditional sports nutrition guidelines provide a foundational framework, individual variability in metabolic responses underscores the need for precision nutrition, informed by genetic, biological, and environmental factors. This scoping [...] Read more.
Background: Endurance athletes require tailored nutrition strategies to optimize performance, recovery, and training adaptations. While traditional sports nutrition guidelines provide a foundational framework, individual variability in metabolic responses underscores the need for precision nutrition, informed by genetic, biological, and environmental factors. This scoping review evaluates the application of systems biology-driven sports nutrition for endurance athletes, focusing on ‘omics’ and wearable technologies. Methods: A scoping review of the literature was conducted in PubMed, Scopus, and Web of Science in accordance with the PRISMA-ScR checklist. Research questions, search strategies, and eligibility criteria were guided by the Population–Concept–Context framework with the following inclusion criteria: original research in English, involving endurance athletes, systems biology approaches, and nutritional interventions or continuous glucose monitoring (CGM). Results: Fifty-two studies were included, with distance runners as the most studied cohort. Eleven studies used metagenomics, eleven CGM, ten nutrigenetics, ten metabolomics, seven multi-omics, one proteomics, one epigenomics, and one lipidomics. Over half (n = 31; 60%) were randomized controlled trials (RCTs) with generally high methodological quality. Conclusions: Most studies were proof-of-concept investigations aimed at assessing biomarkers; however, the evidence linking these biomarkers to performance, recovery, and long-term health outcomes in endurance athletes remains insufficient. Future research should focus on well-powered replicated crossover RCTs, multivariate N-of-1 clinical trials, 360-degree systems-wide approaches, and the validation of genetic impacts on nutritional interventions to refine dietary guidelines. Full article
(This article belongs to the Special Issue Sports Nutrition: Current and Novel Insights)
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<p>PRISMA flow diagram [<a href="#B25-nutrients-16-03943" class="html-bibr">25</a>].</p>
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<p>Number of studies identified across individual ‘omics’ or wearables platforms, stratified by (<b>a</b>) randomized controlled trials (RCTs) versus other study designs; (<b>b</b>) type of endurance sports studied.</p>
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12 pages, 1694 KiB  
Article
Immediate and Long-Term Effects of Breathing Exercises on Reaction Time
by Burçin Akçay, Ozan Bahadır Türkmen, Ebru Kaya Mutlu, Canan Demir, Ahmet Kurtoğlu, Kopzhassar Bayetov, Madawi H. Alotaibi and Safaa M. Elkholi
Medicina 2024, 60(11), 1890; https://doi.org/10.3390/medicina60111890 - 18 Nov 2024
Viewed by 344
Abstract
Background and Objectives: The aim of this study was to investigate the immediate and long-term effects of breathing exercises on simple and choice reaction time. Materials and Methods: A total of 31 participants were included in the study. The participants were [...] Read more.
Background and Objectives: The aim of this study was to investigate the immediate and long-term effects of breathing exercises on simple and choice reaction time. Materials and Methods: A total of 31 participants were included in the study. The participants were randomly divided into two groups. The intervention group (IG; n:16) received 12 sessions of breathing exercises for four weeks (three days a week), while the control group (CG; n:15) received no intervention. Both groups underwent the same assessments at the same times: at baseline, after the first exercise session, and after four weeks/after 12 exercise sessions. Reaction time was assessed using three conditions: choice reaction time (CRT) of the upper limb, auditory reaction time (ART), and visual reaction time (VRT) tests. The first assessment was applied at baseline. The second assessment measured the short-term effect of the breathing exercises after the study group received their first breathing exercise session. The third assessment, to determine the long-term effect, was repeated four weeks after the baseline (A4W) assessment after completing 12 breathing exercises. Results: There was no significant difference between the groups at baseline, immediately, and A4W (p < 0.05) for the VRT, ART, and CRT results with the dominant hand (DH), whereas a group-by-time interaction was found only for the visual reaction time results with the non-dominant hand (nDH) (p > 0.05). Conclusions: The results of this study, which included the evaluation of the immediate and long-term effects of breathing exercises on reaction time, showed an improvement in visual reaction time between the groups over time. In further studies, it is recommended to evaluate the changes and responses in the central nervous system with objective methods to reveal the effect of breathing exercises on reaction time more clearly. Full article
(This article belongs to the Section Sports Medicine and Sports Traumatology)
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<p>Experimental Design of Study.</p>
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<p>Comparison of ART results of participants. IG: intervention group, CG: control group, ART-DH: auditory reaction time—dominant hand, ART-nDH: auditory reaction time—non-dominant hand, A4W: after 4 weeks.</p>
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<p>Comparison of CRT results of participants: IG: intervention group, CG: control group, CRT-DH: choice reaction time—dominant hand, CRT-nDH: choice reaction time—non-dominant hand, A4W: after 4 weeks.</p>
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<p>Comparison of VRT results of participants: IG: intervention group, CG: control group, VRT-DH: visual reaction time—dominant hand, VRT-nDH: visual reaction time—non-dominant hand, A4W: after 4 weeks.</p>
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19 pages, 5675 KiB  
Review
Research Progress on Applying Intelligent Sensors in Sports Science
by Jingjing Zhao, Yulong Yang, Leng Bo, Jiantao Qi and Yongqiang Zhu
Sensors 2024, 24(22), 7338; https://doi.org/10.3390/s24227338 - 17 Nov 2024
Viewed by 283
Abstract
Smart sensors represent a significant advancement in modern sports science, and their effective use enhances the ability to monitor and analyze athlete performance in real time. The integration of these sensors has enhanced the accuracy of data collection related to physical activity, biomechanics, [...] Read more.
Smart sensors represent a significant advancement in modern sports science, and their effective use enhances the ability to monitor and analyze athlete performance in real time. The integration of these sensors has enhanced the accuracy of data collection related to physical activity, biomechanics, and physiological responses, thus providing valuable insights for performance optimization, injury prevention, and rehabilitation. This paper provides an overview of the research progress in the application of smart sensors in the field of sports science; highlights the current advances, challenges, and future directions in the deployment of smart sensor technologies; and anticipates their transformative impact on sports science and athlete development. Full article
(This article belongs to the Special Issue Sensor Techniques and Methods for Sports Science)
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<p>Annual publications of wearable sensors in sports science [data from Web of Science].</p>
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<p>FPC with ultrathin piezoelectric sensor array [<a href="#B14-sensors-24-07338" class="html-bibr">14</a>].</p>
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<p>Different sensing substrates of wearable electrochemical sensors for sweat monitoring (<b>A</b>) Plastic; (<b>B</b>) Textile; (<b>C</b>) Paper; (<b>D</b>) Hydrogel; (<b>E</b>) Rubber [<a href="#B19-sensors-24-07338" class="html-bibr">19</a>].</p>
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<p>(<b>a</b>) Graph of the gyroscope sensor data on the <span class="html-italic">y</span>-axis for 6-foot steps; (<b>b</b>) Footsteps for one cycle; (<b>c</b>) Representation graph of the <span class="html-italic">y</span>-axis of gyroscope where point a is 1683 samples and point b is 1748 samples [<a href="#B27-sensors-24-07338" class="html-bibr">27</a>].</p>
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<p>SEM images of the SCNC under different stretching and releasing states: (<b>a</b>) ε =10%. (<b>b</b>) ε = 20%. (<b>c</b>) ε = 50%. (<b>d</b>) ε = 100%. (<b>e</b>) ε = 50%, (<b>f</b>) ε = 20% [<a href="#B34-sensors-24-07338" class="html-bibr">34</a>].</p>
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<p>Application of the ISSP in dynamic responding with multiple information sources during the motions. (<b>a</b>) Schematic diagram of the ISSP for detecting foot movements, monitoring dynamic comfort degree of the shoe, and establishing the continuous movement model of instep and toes; (<b>b</b>) measurement of the different foot movements: (I, II) heel lifting d1 and d2 from the ground relatively, in which d1 = 2d2; (III) forefoot lifting from the ground; (IV, V) foot leaning to the left (right) with right-side (left-side) landing on the ground; (<b>c</b>) (i,ii) demonstration of foot movements’ wireless monitoring [<a href="#B45-sensors-24-07338" class="html-bibr">45</a>].</p>
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<p>T-test graph containing optical gates data (vertical lines) and pitch signal from BNO055 (blue curve); at the beginning and at the end of the test, the athlete is standing upright, and the pitch is approximately 90° (the difference of a few degrees is because of the sensor mount at the lower back) [<a href="#B51-sensors-24-07338" class="html-bibr">51</a>].</p>
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<p>The EMG, EEG, and temperature sensors for sport monitoring: (<b>a</b>) the EMG sensor to monitor the strength and endurance exercises in vivo; (<b>b</b>) the microneedle array electrode−based wearable EMG system to detect driver drowsiness: (i) is the SEM photo of one single needle, (ii) is the photo of the microneedle array electrode, (iii) is the wearable EMG system; and (iv,v) are the system worn on forearm and driving; (<b>c</b>) the earbud-like wireless EEG device (up) show a good ability to decrease direct noise (down); (<b>d</b>) the wearable temperature sensor (up) and the measured small rise of skin temperature before and after a 5 min running exercise (down); (<b>e</b>) thin thermocouple’s film [<a href="#B54-sensors-24-07338" class="html-bibr">54</a>].</p>
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<p>SDN data center network [<a href="#B55-sensors-24-07338" class="html-bibr">55</a>].</p>
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<p>Structure of the proposed CNN model for extracting motion features [<a href="#B59-sensors-24-07338" class="html-bibr">59</a>].</p>
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<p>Schematic illustration of TENGs for intelligent sports based on the IoT, big data, and cloud computing technologies [<a href="#B60-sensors-24-07338" class="html-bibr">60</a>].</p>
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10 pages, 370 KiB  
Systematic Review
Injuries in Female Futsal Players: A Systematic Review
by Luis Miguel Fernández-Galván, Carlos Hernández Santana, Carlos López-Nuevo and Jorge Sánchez-Infante
Sports 2024, 12(11), 311; https://doi.org/10.3390/sports12110311 - 17 Nov 2024
Viewed by 289
Abstract
Background: Injuries represent one of the most challenging scenarios for both athletes and teams. The aim of this systematic review was to examine the incidence and epidemiological data of injuries in female futsal players. Methods: A systematic search was conducted using PubMed, Scopus, [...] Read more.
Background: Injuries represent one of the most challenging scenarios for both athletes and teams. The aim of this systematic review was to examine the incidence and epidemiological data of injuries in female futsal players. Methods: A systematic search was conducted using PubMed, Scopus, SportDiscus, and Web of Science databases, and subsequently, nine studies were selected. Results: The most frequently damaged area is the ankle (28.15%), followed by the thigh (19.99%), knee (18.41%), and groin (17.26%), according to an analysis of nine studies, seven of which included data on professional futsal players and four of which included amateurs. Elite (28.62%) and amateur futsal players (27.06%) experience ankle injuries almost equally, whereas amateurs suffer thigh injuries (29.41%) far more often than elite athletes (13.71%). The most common injuries are strains (27.05%) and sprains (40.6%), with amateurs suffering from sprains more frequently (51%) than elite athletes (36.44%) and elite athletes suffering from strains more frequently (29.4%) than amateurs (20%). Conclusions: Ankle injuries are the most prevalent in female futsal players, with amateurs particularly prone to sprains. Based on these results, professionals in this field may identify injury patterns that could guide future prevention efforts specifically tailored to female futsal players. Full article
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<p>PRISMA flow diagram for the study search and selection process.</p>
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16 pages, 4400 KiB  
Article
Accuracy of GNSS-Derived Acceleration Data for Dynamic Team Sport Movements: A Comparative Study of Smoothing Techniques
by Susanne Ellens, David L. Carey, Paul B. Gastin and Matthew C. Varley
Appl. Sci. 2024, 14(22), 10573; https://doi.org/10.3390/app142210573 - 16 Nov 2024
Viewed by 380
Abstract
This study examined the impact of various smoothing techniques on acceleration data obtained from a Global Navigation Satellite System (GNSS) device during accelerating and decelerating movements, resembling those commonly observed in team sports. Eight participants performed six different accelerating and decelerating movements at [...] Read more.
This study examined the impact of various smoothing techniques on acceleration data obtained from a Global Navigation Satellite System (GNSS) device during accelerating and decelerating movements, resembling those commonly observed in team sports. Eight participants performed six different accelerating and decelerating movements at different intensities and starting speeds for a total of 46 trials each. The movements were collected concurrently at 10 Hz using a GNSS device (Vector S7, Catapult Sports) at 100 Hz using a motion analysis system (Vicon). Acceleration data were smoothed using (I) a fourth-order Butterworth filter (cut-off frequencies ranging from raw to 4.9 Hz), (II) exponential smoothing (smoothing constant ranging from 0.1 to 0.9), and (III) moving average (sliding window ranging from 0.2 s to 2.0 s). To determine the ability of a GNSS to quantify acceleration, a variety of measurement indices of validity were obtained for each movement and each smoothing technique. The fourth-order Butterworth filter with a cut-off frequency of 2 Hz (mean bias 0.00 m·s−2, 95% LoA ± 1.55 m·s−2, RMSE 0.79 m·s−2) showed the strongest relationship with the Vicon data. These results indicate that this smoothing technique is more accurate than those currently used and accepted on GNSS devices in the sports science community. Full article
(This article belongs to the Special Issue Human Performance in Sports and Training)
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<p>Schematic representation of the data collection setup. Distance of the 3D motion analysis camera to the capture area was 3 m. Movement area was in the middle of the capture area and was 4 × 4 m. The start spot was 0.5 m inside the capture area boundary. * Area where the changes in pace (accelerating/decelerating intensities), changes of direction (COD), jump, and stop of motion were performed.</p>
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<p>Schematic of the locations of the GNSS device and retro-reflective markers attached to the participant.</p>
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<p>Measurement indices of validity indicating how closely the GNSS acceleration data resemble the Vicon acceleration data using a Butterworth filter with different cut-off frequencies. (<b>A</b>) Mean bias with 95% LoA for the difference between GNSS acceleration minus Vicon acceleration. (<b>B</b>) Precision/RMSE for the difference between GNSS acceleration minus Vicon acceleration. Manf Smo = manufacturer smoothed acceleration data. Raw = not smoothed in any way by the manufacturer software.</p>
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<p>Measurement indices of validity indicating how closely the GNSS acceleration data resembled the Vicon acceleration data using exponential smoothing with different smoothing constants. (<b>A</b>) Mean bias with 95% LoA for the difference between GNSS acceleration minus Vicon acceleration. (<b>B</b>) Precision/RMSE for the difference between GNSS acceleration minus Vicon acceleration. Manf Smo = manufacturer smoothed acceleration data. Raw = not smoothed in any way by the manufacturer software.</p>
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<p>Measurement indices of validity indicating how closely the GNSS acceleration data resembled the Vicon acceleration data using the moving average smoothing over different sliding windows. (<b>A</b>) Mean bias with 95% LoA for the difference between GNSS acceleration minus Vicon acceleration. (<b>B</b>) Precision/RMSE for the difference between GNSS acceleration minus Vicon acceleration. Manf Smo = manufacturer smoothed acceleration data. Raw = not smoothed in any way by the manufacturer software.</p>
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12 pages, 863 KiB  
Article
Acute Effects of Squat and Ballistic Jump Exercises on Judo-Specific Performance, Handgrip Strength, and Perceived Exertion in Young Male Judokas
by Jateen Baruah, Avinash Kharel, Madin Hina, Halil İbrahim Ceylan, Muntean Raul-Ioan and Rohit K. Thapa
Appl. Sci. 2024, 14(22), 10558; https://doi.org/10.3390/app142210558 - 15 Nov 2024
Viewed by 594
Abstract
This study aimed to examine the acute effects of squat and ballistic jump exercises during warm-ups on judo-specific performance in young male judokas. Using a randomized crossover design, 10 sub-junior male judokas (age: 12.9 ± 0.7 years) completed three conditions: a controlled warm-up [...] Read more.
This study aimed to examine the acute effects of squat and ballistic jump exercises during warm-ups on judo-specific performance in young male judokas. Using a randomized crossover design, 10 sub-junior male judokas (age: 12.9 ± 0.7 years) completed three conditions: a controlled warm-up with only judo-specific exercises and two experimental warm-ups including either a three-repetition maximum (RM) back squat (with ~90% 1RM load) or ballistic jumps (squat jumps, scissor jumps, and double-leg bounds) in addition to judo-specific warm-ups. Following each warm-up condition, participants performed the Special Judo Fitness Test (SJFT), with heart rate measured immediately and one minute post-test. Handgrip strength and ratings of perceived exertion (RPE) were recorded after the SJFT. Both squat and ballistic jump exercises significantly improved judo-specific performance compared to the control condition, with large effect sizes (ESs). The number of throws in set 2 (p = 0.001, ηp2 = 0.65, large ES), total throws (p < 0.001, ηp2 = 0.70, large ES), and the SJFT index (p < 0.001, ηp2= 0.65, large ES) all showed significant improvements. Regarding the throw in set 2, significant improvements were observed after both squat (p = 0.003, Hedge’s g = 1.78, large ES) and ballistic jump exercises (p = 0.010, Hedge’s g = 1.44, large ES) compared to the control condition. Similarly, total throws were significantly higher in the squat (p = 0.003, Hedge’s g = 1.51, large ES) and ballistic jump (p < 0.001, Hedge’s g = 1.37, large ES) conditions compared to the control condition. Furthermore, the SJFT index showed notable improvements following squat (p = 0.010, Hedge’s g = 0.80, moderate ES) and ballistic jump (p < 0.001, Hedge’s g = 0.90, moderate ES) conditions compared to control conditions. However, squat exercises led to a significant reduction in right-hand grip strength (p < 0.001, ηp2 = 0.58, large ES) [p = 0.008, Hedge’s g = 0.19, trivial ES for squat vs. control; p = 0.014, Hedge’s g = 0.23, small ES for squat vs. ballistic jump], with no differences observed in left-hand grip strength or RPE scores (p > 0.05). In conclusion, the integration of squat and ballistic jump exercises into warm-up protocols has been shown to significantly improve judo-specific performance in young male judokas without eliciting an increase in RPE values. However, careful consideration should be given when incorporating squat exercises, as they may lead to localized handgrip fatigue (reduced grip strength due to muscle exhaustion), which could affect performance in grip-dependent techniques. Full article
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<p>Schematic representation of study. Note: RM—repetition maximum.</p>
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<p>Graphical representation of percentage difference between the conditioning activities (back squat and ballistic jumps) compared to the control condition (i.e., judo-specific warm-up). Note: Black bars—denote percentage difference between back squat versus control condition; grey bars—denote percentage difference between ballistic jumps versus control condition; positive bars depict the positive difference and negative bars depict the negative difference compared to the control condition; Throw 1, 2, 3—number of throws performed in sets 1, 2, and 3 of special judo fitness test (SJFT); HR immediate—heart rate immediately after the SJFT, HR one-minute—heart rate one-minute after SJFT, HR peak—peak heart rate during the SJFT, RPE—rating of perceived exertion.</p>
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14 pages, 348 KiB  
Review
Safety Implications of Off-Label Medication Use in Athletes: A Narrative Review
by Vítor Silva, Ricardo Madeira, João Joaquim and Cristiano Matos
Medicines 2024, 11(8), 20; https://doi.org/10.3390/medicines11080020 - 15 Nov 2024
Viewed by 253
Abstract
In recent years, the off-label use of medications in sports has increased significantly, primarily driven by psychological and social factors. Athletes frequently misuse drugs without adequate medical supervision, relying on unreliable sources of information, which leads to improper usage and serious health risks. [...] Read more.
In recent years, the off-label use of medications in sports has increased significantly, primarily driven by psychological and social factors. Athletes frequently misuse drugs without adequate medical supervision, relying on unreliable sources of information, which leads to improper usage and serious health risks. This narrative review analyzes literature from PubMed® (Medline), Scopus®, and Web of Science® databases, focusing on studies up to December 2023, to examine the safety concerns related to off-label drug use in sports. The review presents an overview of the off-label use of pharmacological substances by athletes, focusing on both hormonal and non-hormonal drugs. Hormonal substances such as anabolic steroids and growth hormones, and non-hormonal agents like diuretics and β2-agonists, are frequently abused. These practices are associated with severe side effects, including infections, cardiovascular complications, hormonal imbalances, psychological disorders, dependence, and even cases of death. The study emphasizes the need for stronger regulation, public awareness initiatives, and preventive strategies to mitigate the health risks associated with this growing trend. Full article
16 pages, 1390 KiB  
Article
Neural and Cardio-Respiratory Responses During Maximal Self-Paced and Controlled-Intensity Protocols at Similar Perceived Exertion Levels: A Pilot Study
by Luc Poinsard, Florent Palacin, Iraj Said Hashemi and Véronique Billat
Appl. Sci. 2024, 14(22), 10551; https://doi.org/10.3390/app142210551 - 15 Nov 2024
Viewed by 290
Abstract
Self-paced exercise protocols have gained attention for their potential to optimize performance and manage fatigue by allowing individuals to regulate their efforts based on perceived exertion. This pilot study aimed to investigate the neural and physiological responses during a self-paced V˙O [...] Read more.
Self-paced exercise protocols have gained attention for their potential to optimize performance and manage fatigue by allowing individuals to regulate their efforts based on perceived exertion. This pilot study aimed to investigate the neural and physiological responses during a self-paced V˙O2max (SPV) and incremental exercise tests (IET). Six trained male cyclists (mean age 39.2 ± 13.3 years; V˙O2max 54.3 ± 8.2 mL·kg−1·min−1) performed both tests while recording their brain activity using electroencephalography (EEG). The IET protocol involved increasing the power every 3 min relative to body weight, while the SPV allowed participants to self-regulate the intensity using ratings of perceived exertion (RPE). Gas exchange, EEG, heart rate (HR), stroke volume (SV), and power output were continuously monitored. Statistical analyses included a two-way repeated measures ANOVA and Wilcoxon signed-rank tests to assess differences in alpha and beta power spectral densities (PSDs) and the EEG/V˙O2 ratio. Our results showed that during the SPV test, the beta PSD initially increased but stabilized at around 80% of the test duration, suggesting effective management of effort without further neural strain. In contrast, the IET showed a continuous increase in beta activity, indicating greater neural demand and potentially leading to an earlier onset of fatigue. Additionally, participants maintained similar cardiorespiratory parameters (V˙O2, HR, SV, respiratory frequency, etc.) across both protocols, reinforcing the reliability of the RPE scale in guiding exercise intensity. These findings suggest that SPV better optimizes neural efficiency and delays fatigue compared to fixed protocols and that individuals can accurately control exercise intensity based on perceived exertion. Despite the small sample size, the results provide valuable insights into the potential benefits of self-paced exercise for improving adherence to exercise programs and optimizing performance across different populations. Full article
(This article belongs to the Special Issue Brain Functional Connectivity: Prediction, Dynamics, and Modeling)
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<p>Schematic representation of the incremental exercise test (IET) and the self-paced <math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo>˙</mo> </mover> </mrow> </semantics></math>O<sub>2</sub>max test (SPV). During the IET, intensity increases progressively by 0.5 W/kg every 3 min until exhaustion, while the SPV test allows participants to adjust their pace based on perceived exertion. Between each step, there was an alternation between eyes open (EO) and eyes closed (EC) at rest. In the figure, elements common to both tests are shown in black, IET-specific elements are shown in blue, and SPV-specific elements are shown in orange. Abbreviations: EEG = electroencephalogram; RPE = rate of perceived exertion; EC-EO = eyes closed eyes open phase.</p>
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<p>Comparison of changes in beta power spectral density in the central brain scalp zone during the incremental exercise test (IET) and the self-paced <math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo>˙</mo> </mover> </mrow> </semantics></math>O<sub>2</sub>max (SPV) test. The IET data are represented by the blue curve, and the SPV data are shown by the orange curve. The error bars are color-coded to match the corresponding condition (blue for IET and orange for SPV) to enhance the visual distinction between the two tests. Significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two tests are marked with asterisks (*), and differences between previous steps within the same test are indicated by daggers (†).</p>
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<p>Comparison of EEG Alpha/<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo>˙</mo> </mover> </mrow> </semantics></math>O<sub>2</sub> and Beta/<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo>˙</mo> </mover> </mrow> </semantics></math>O<sub>2</sub> ratios between the incremental exercise test (IET, blue line) and the self-paced <math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo>˙</mo> </mover> </mrow> </semantics></math>O<sub>2</sub>max (SPV, orange line) test. The error bars are color-coded to match the corresponding condition (blue for IET and orange for SPV) to enhance the visual distinction between the two tests.</p>
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17 pages, 1007 KiB  
Article
Comparative Analysis of the Physical, Tactical, Emotional, and Mood Characteristics of Under-13 Soccer Players by Performance Level
by Aura D. Montenegro Bonilla, Sergio D. Rodríguez Pachón, Víctor Hernández-Beltrán, José M. Gamonales, Markel Rico-González, José Pino-Ortega, Jorge Olivares-Arancibia, Rodrigo Yánez-Sepúlveda, José Francisco López-Gil and Boryi A. Becerra Patiño
J. Funct. Morphol. Kinesiol. 2024, 9(4), 237; https://doi.org/10.3390/jfmk9040237 - 15 Nov 2024
Viewed by 440
Abstract
Background and Objectives: Soccer is a sport characterized by various unpredictable situations in which physical abilities are associated with athletic performance. There are several capabilities that young soccer players must develop to adapt to the needs of the competition. This study analyzes [...] Read more.
Background and Objectives: Soccer is a sport characterized by various unpredictable situations in which physical abilities are associated with athletic performance. There are several capabilities that young soccer players must develop to adapt to the needs of the competition. This study analyzes the physical characteristics, tactical knowledge, emotional intelligence, and mood states of youth soccer players at different competitive levels. Materials and Methods: The sample consisted of 36 male soccer players with an average age of 12.65 ± 0.48 years, weight of 44.92 ± 7.49 kg, and height of 157.2 ± 0.08 cm. A cross-sectional correlational study design was selected. Inferential analysis was conducted via the RV coefficient to assess relationships between groups. Two-sample tests (Student’s t test or the Mann–Whitney U test) were used to assess the distribution of the samples. Standardized mean differences (i.e., Cohen’s d) were calculated as effect sizes. Results: For the yo-yo intermittent endurance test level 1, the Premier category showed higher speed (p = 0.01, d = 0.40) and superior estimated VO2max (p = 0.01, d = −0.91). The statistically significant variables included the hamstring strength exercise of the hamstrings for the angle of rupture (p = 0.04, d = −0.04, d = −0.72), the COD-Timer 5-0-5 for contact time—5-0-5 (ms) (p = 0.04, d = 0.69) and 10 m—5-0-5 (s) (p = 0.02, d = 0.79), tactical knowledge of in-game performance (p = 0.01, d = −1.19), support level (p = 0.01, d = −1.27), decision-making ability (p = 0.01, d = 0.59), melancholy (p = 0.01, d = 0.59), confusion (p = 0.01, d = 0.56), and emotional intelligence (p = 0.04, d = 0.77). The Premier category presented slightly higher averages than did category A. In the assessment of running-based anaerobic sprint test power (p < 0.05, d = 0.83) and mood states (p < 0.05, d = 0.59), players in category A presented higher results. Conclusions: The performance capacity of youth soccer players encompasses a multidimensional complexity that includes physical, tactical, emotional, and psychological aspects, which vary among players of the same age. Full article
(This article belongs to the Section Athletic Training and Human Performance)
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<p>First view of the study variables.</p>
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<p>Eigenvalue analysis by dimension.</p>
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15 pages, 474 KiB  
Review
Load Monitoring Methods for Controlling Training Effectiveness on Physical Conditioning and Planning Involvement: A Narrative Review
by Anderson G. Macedo, Tiago A. F. Almeida, Danilo A. Massini, David M. de Oliveira, Mário C. Espada, Ricardo A. M. Robalo, Víctor Hernández-Beltrán, José M. Gamonales, Andréia M. S. Vilela Terra and Dalton M. Pessôa Filho
Appl. Sci. 2024, 14(22), 10465; https://doi.org/10.3390/app142210465 - 13 Nov 2024
Viewed by 664
Abstract
Monitoring the training load during training is important for quantifying the demand on psychological and physiological responses. This procedure is achieved through subjective and objective methods applied to the control of the level of training, to the attainment of conditioning and performance goals, [...] Read more.
Monitoring the training load during training is important for quantifying the demand on psychological and physiological responses. This procedure is achieved through subjective and objective methods applied to the control of the level of training, to the attainment of conditioning and performance goals, and to the prevention of injuries. Training load refers to either external load, such as the variables of speed, distance, accelerations, and decelerations, or internal load, which is related to the psychological and physiological responses during an exercise session or training period (e.g., rating of perceived exertion—RPE; and heart rate—HR). To measure external load, traditional methods include pedometers, accelerometers, global positioning systems, and volume load. For internal load, methods include RPE, training monotony, strain, and impulse, HR, hormonal and biochemical markers, and training diaries and questionnaires. The current review reinforces the assumption that the methods should be combined to improve confidence with the information, mainly when assessing internal load stress during training. Moreover, training load provides an objective assessment of performance levels and involvement in different training phases, thus providing relevant information to analyse strategies for the effectiveness of conditioning progress, performance enhancement, and injury prevention. Full article
(This article belongs to the Special Issue Human Performance and Health in Sport and Exercise)
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<p>Training load monitoring suggested methods.</p>
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