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The counteractive effects of interventions addressing mental fatigue on sport-specific performance among athletes: A systematic review with a meta-analysis

Sun H, Geok Soh K, Mohammadi A, Toumi Z

J Sports Sci, 2024 Feb 18.
PMID: 38368626 DOI: 10.1080/02640414.2024.2317633

The deleterious consequences of mental fatigue (MF) on athletes in diverse sporting domains have been subject to extensive inquiry. However, the efficacy of interventions to counteract the effects of MF remains largely elusive. This review aims to evaluate the effects of counteractive interventions on the sport-specific performance of mentally fatigued athletes. Moreover, synthesizes the current evidence on which sports effectively counter the detrimental effects of MF with interventions, highlighting potential avenues for upcoming research. A systematic search was executed via Web of Science, Scopus, PubMed, and EBSCOhost, in addition to Google Scholar and references for grey literature. A meta-analysis was executed to compute effect sizes for different interventions with 13 qualified papers. Interventions include transcranial direct current stimulation, person-fit, mindfulness, glucose supplementation, caffeine mouth rinsing, and nature exposure showed potential to mitigate the detrimental effects on sport-specific performance, particularly in shooting accuracy (ES = 0.591; p = 0.001), decision-making accuracy (ES = 0.553; p = 0.006), and reaction time (ES = -0.871; p
Fulltext Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling

Ma S, Geok Soh K, Binti Japar S, Xu S, Zhicheng G

Heliyon, 2024 Aug 15;10(15):e35145.
PMID: 39166022 DOI: 10.1016/j.heliyon.2024.e35145

Core strength training plays an essential role in maximizing performance for badminton athletes. The core muscles in the abdominal, back, and hip regions provide stability, enable efficient power transfer between the upper and lower body, and allow for rapid changes in direction - all crucial components for success in badminton. However, optimizing core training requires an understanding of its impact on sport-specific skills. A variety of exercises targeting the abdominal, back, and hip muscles are discussed. Incorporating core strength training into regular regimens can improve athletes' overall strength, endurance, balance, control, and prevent injuries. This study investigates the effects of various core exercises on stability, agility, and power in badminton players. A comprehensive literature review was conducted to explore the biomechanical demands of badminton and how core musculature contributes to movements like serving, smashing, and lunging. Studies assessing the effects of core training programs in related racquet sports were also examined. The results indicate that targeted core exercises significantly improve athletes' stability, agility, and power output. Exercises targeting the abdominal, back, and hip muscles enhance performance capabilities while reducing injury risk. Machine learning (ML) techniques are then applied to further analyze the relationship between core training and athletic performance. An Artificial Neural Network (ANN) is developed using a dataset of athletes' training histories, metrics, and injury profiles. The model predicts enhancements to stability, agility, and strength from optimized core strengthening routines. Validation confirms the network accurately captures the complex interactions between training variables and physical attributes. This integrated approach provides evidence-based guidelines for tailoring individualized training regimens to unleash players' full abilities. ANNs hold promise for analyzing large datasets on athletes' performance metrics, training variables, and injury histories to design personalized training programs. Linear regression analysis confirmed the ANN's accurate predictions. The findings emphasize integrating data-driven core strength training tailored for badminton into comprehensive programs can help optimize physical abilities and elevate performance levels.
Systematic Review of Malnutrition Risk Factors to Identify Nutritionally At-Risk Patients With Head and Neck Cancer

Wang P, Lam Soh K, Geok Soh K, Xue L, Ning C, Tan Y, et al.

Clin J Oncol Nurs, 2024 Mar 15;28(2):197-208.
PMID: 38511915 DOI: 10.1188/24.CJON.197-208

BACKGROUND: Patients with head and neck cancer are prone to malnutrition, which can lead to adverse health outcomes. A review of the literature revealed a lack of systematic reviews addressing risk factors for malnutrition in this population.
OBJECTIVES: This study aimed to fill the knowledge gap by identifying risk factors for malnutrition in patients with head and neck cancer.
METHODS: A comprehensive search was conducted in PubMed®, Web of Science, Embase®, and Cochrane Library databases, spanning from their inception until June 2023. Three researchers critically evaluated the inclusion and exclusion criteria. Two investigators independently screened the literature and extracted data, resolving any discrepancies through consensus.
FINDINGS: This systematic review includes 18 studies. The results indicated that risk factors for malnutrition in patients with head and neck cancer encompass disease-related, genetic, lifestyle, nutritional health, physiologic, psychological, and treatment-related factors.
Fulltext Optimizing learning outcomes in physical education: A comprehensive systematic review of hybrid pedagogical models integrated with the Sport Education Model

Zhang J, Geok Soh K, Bai X, Mohd Anuar MA, Xiao W

PLoS One, 2024;19(12):e0311957.
PMID: 39630649 DOI: 10.1371/journal.pone.0311957

BACKGROUND: There is a notable gap in systematic reviews concerning hybrid pedagogical models (PMs) integrated with the Sport Education Model (SEM) and their impact on students' outcomes.
PURPOSE: Which hybrid PMs incorporating SEM are currently the mainstream choices in research, and what are the main factors supporting their integration? How does SEM function as a foundational model in these hybrid teaching approaches? What learning outcomes are optimized through the hybrid models that combine SEM with other PMs?
METHODS: A systematic search was conducted in major databases in December 2023 following PRISMA guidelines. Out of the identified 1342 studies, 30 met the eligibility criteria, all of which were deemed to be of high quality.
RESULTS: Seven hybrid types were identified, primarily composed of two PMs, among which the blend of SEM and Teaching Games for Understanding (TGfU) emerges as the mainstream in current research. SEM, serving as the foundational structure, provides a stable framework for the hybrid, termed the "SEM + 1 model," yielding positive effects on enhancing students' learning outcomes.
CONCLUSIONS: Pedagogical models align with PMs' motivational aspects, thus enhancing learning outcomes. However, evidence for partial hybrids is lacking. Future research should explore diverse interventions, addressing coherence and teacher competence, while maintaining fidelity.