Talent scouting and fitness data standardization in professional football clubs have been the focus of research in recent years. The role of technology, big data, and data analytics is crucial in reshaping sports performance and bolstering the competitiveness of professional football teams. This review aims to consolidate current research on these technological advancements, examining how they can be effectively harnessed to revolutionize talent sourcing and elevate the competitive standards within football clubs. The review will focus on participants, including professional football players, and intervention interventions such as the implementation of digital technologies, data mining, and machine learning techniques. The study designs will include experimental, observational, and mixed-method studies conducted in football club settings. The analysis highlights the transformative potential of integrating quantitative player statistics with advanced data science and data-driven approaches in revolutionizing sports performance, enabling clubs to make informed recruitment decisions and enhance team performance. In addition, the review focuses on the impact of data analytics on transforming sports performance. The research has demonstrated that these models, specifically classification and regression models, can forecast a football player's performance score with up to 94% accuracy for forward positions.

Talent scouting and fitness data standardization in professional football clubs have been the focus of research in recent years. The role of technology, big data, and data analytics is crucial in reshaping sports performance and bolstering the competitiveness of professional football teams. This review aims to consolidate current research on these technological advancements, examining how they can be effectively harnessed to revolutionize talent sourcing and elevate the competitive standards within football clubs. The review will focus on participants, including professional football players, and intervention interventions such as the implementation of digital technologies, data mining, and machine learning techniques. The study designs will include experimental, observational, and mixed-method studies conducted in football club settings. The analysis highlights the transformative potential of integrating quantitative player statistics with advanced data science and data-driven approaches in revolutionizing sports performance, enabling clubs to make informed recruitment decisions and enhance team performance. In addition, the review focuses on the impact of data analytics on transforming sports performance. The research has demonstrated that these models, specifically classification and regression models, can forecast a football player's performance score with up to 94% accuracy for forward positions.

Background: According to recent data, stroke ranks as the second most prominent contributor to both mortality and disability on a global scale. there has been no comprehensive synthesis of qualitative studies pertaining to caregiver guidance for home-based stroke patients utilizing wheelchairs. Objective of this study is to examine the fundamental principles employed by caregivers in the provision of care for wheelchair-bound patients within a home setting. Method: We conducted focus groups and in-depth interviews with key informant multidisciplinary health professionals (n=17). The interview guide describes center care patients, a multidisciplinary approach, and explores the exercise of a patient using a wheelchair. Data was coded and reviewed using an analysis framework with NVivo software. This study was reported according to COREQ guidelines (consolidated criteria for reporting qualitative research) Result: Eight main themes emerged from the data analysis: Patient Center care, Multidisciplinary approach, Creativity making tools Family experience, Selection of an effective wheelchair, Room matters, The meaning of therapy, Effective moves, Precise count during practice.Conclusion: Carers possess the capacity to address the issue of limited accessibility to patient rehabilitation services through the utilization of wheelchair self-help applications. The primary challenges faced by carers encompass various aspects, including the implementation of Patient Centered Care, adoption of a Multidisciplinary Approach, appropriate selection of wheelchairs that are effective, understanding the significance of therapy. Keywords: Caregivers, Wheelchairs, Disabled Persons, Stroke

Background: Wearable technologies such as smartwatches have revolutionized cardiovascular fitness training through real-time monitoring and personalized exercise interventions. However, the effectiveness of smartwatch apps in improving cardiovascular performance still needs to be systematically evaluated. Objective: This study aims to assess the contribution of smartwatch apps in improving cardiovascular fitness training using a systematic review based on the PRISMA framework. Methods: The research questions were designed using the PICO (Population, Intervention, Comparison, Outcome) model. A literature search was conducted in PubMed, Scopus, Google Scholar, Web of Science, and Crossref, focusing on articles published in 2020-2025 that met the inclusion criteria. Result: The results showed that smartwatches improved exercise efficiency through real-time feedback, user motivation, and AI-based recommendations. It also improved exercise adherence and cardiovascular health outcomes. However, sensor accuracy, algorithm reliability, and variations in user engagement remain challenging. Conclusion: Smartwatch apps have great potential in optimizing cardiovascular fitness training. Future research needs to focus on improving sensor accuracy, refining AI interventions, and long-term user engagement to maximize their impact.

This study aims to determine the relationship between sedentary behavior, physical activity, and sleep quality in obese university students. This cross-sectional study involved 26 obese students (15 males, 11 females) at the State University of Malang who met specific inclusion criteria. Sedentary behavior was measured using the Sedentary Behavior Questionnaire (SBQ), physical activity with the International Physical Activity Questionnaire (IPAQ), and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using Pearson's correlation and normality tests via SPSS 23.0. Results showed a strong negative correlation between sedentary behavior and sleep quality (r = -0.916, p < 0.01), and a significant positive correlation between physical activity and sleep quality (r = 0.379, p < 0.05). These findings suggest that increased screen time significantly decreases sleep quality, while physical activity helps improve it. The results highlight the importance of reducing sedentary behavior and promoting physical activity to enhance sleep quality among obese students. Practical implications include developing university-based health programs that target screen-time reduction and promote active lifestyles. Although promising, the study is limited by its small sample size and cross-sectional design, which limits causal inference. Future research should consider longitudinal designs and larger populations. This study aligns with existing literature that links lifestyle factors to sleep health and contributes new data within the context of Indonesian university students.

Healthy eating patterns and physical activity are two crucial factors that influence physical fitness, especially among junior high school students. This study utilizes a Systematic Literature Review (SLR) method to explore the relationship between healthy eating, physical activity, and physical fitness. Relevant articles were selected based on inclusion criteria, such as focusing on junior school students, using empirical data, and being published within the last 10 years. The results reveal that a healthy diet rich in nutrients, such as complex carbohydrates, proteins, vitamins, and minerals, significantly contributes to improving students’ physical endurance and bodily functions. Regular physical activity, such as exercise, has been shown to enhance muscle strength, flexibility, and cardiovascular function. Furthermore, the combination of healthy eating and physical activity demonstrates a significant synergistic effect on physical fitness, creating metabolic balance and reducing the risk of obesity and non-communicable diseases. This study emphasizes the importance of a holistic approach in consistently applying healthy eating patterns and physical activity among junior high school students. The implementation of nutrition education and physical activity programs in schools is a key recommendation to improve students' physical fitness.