Search Results (29)

Given that participating in or spectating sports events plays a vital role in enhancing individuals’ mental health, understanding the key factors that promote continued participation and attendance in sports events is of significant theoretical and practical importance within the context of sports tourism. From this perspective, the service quality of sports events and the image of the host destination have been identified as major determinants of sustained engagement among sports tourists. However, a review of the literature reveals that findings on the influence of sports event service quality and host destination image on the behavioral intentions of sports tourists have been inconsistent. Therefore, the purpose of this study is to employ a meta-analytic structural equation modeling (MASEM) approach to synthesize data from 39 independent studies comprising 16,335 participants, which were collected up to 30 September 2024, thereby providing generalizable conclusions. The results indicate that, first, host destination image is the most critical factor in enhancing visitor satisfaction. Additionally, the service quality of sports events significantly influences visitor satisfaction, which in turn impacts their future behavioral intentions. Second, tourist satisfaction fully mediates the relationship between event service quality and behavioral intentions, and it partially mediates the relationship between host destination image and behavioral intentions. Third, under the moderating effect of event scale (small scale vs. mega scale), host destination image and physical environment quality are more important in small-scale sports events than in mega-scale sports events. Furthermore, under the moderating effect of cultural context (Eastern vs. Western), service quality dimensions are more influential in Western cultural settings, whereas host destination image is more important in Eastern cultural settings. The significance of this study lies in its integration of previously disparate findings into a unified model, offering a more comprehensive understanding of the relationships among the variables. The results provide broad implications for future academic research and practical insights for sports tourism practitioners. Full article

Sport can serve as a powerful tool for community building, fostering inclusion, challenging intolerance, and advancing social justice. It also supports positive youth development and active citizenship. When embedded in local life and accessible beyond athletics, sport creates unique conditions for community development and inclusive action. Sport and equity-focused community development are about relationships. The perspectives and behaviors stemming from youth participation in sport—what they learn about human relationships, relationship building, and life skills—carry forward through time in all phases and facets of their lives. The Gaelic Athletic Association (GAA), Ireland’s largest amateur sporting and cultural organization, exemplifies this potential. More than a sports organization, the GAA plays a central role in Irish society, offering opportunities for people of all ages to engage in sport, fitness, and well-being, while actively contributing to community life. GAA clubs often function as local social hubs, creating spaces for connection across generations. This article uses the GAA as a case study to explore how sport can be a unifying and inclusive structure for community building. Specifically, we will (1) examine the link between sport, youth, and active citizenship; (2) explore connections between sport, community, inclusion, and social justice; (3) offer a historical and cultural overview of the GAA; and (4) consider how organizations like the GAA can support efforts around inclusion, tolerance, and sustainability. The discussion will highlight implications for future community programming and policy. Full article

Background/Objectives: There is still no clear consensus regarding the efficacy of exercise interventions in maintaining or improving cognitive function among independent older adults, as well as individuals with mild cognitive impairment (MCI) or dementia. This review explores the potential mechanisms underlying cognitive decline prevention and dementia mitigation from the perspective of motor learning theory, with a particular focus on aerobic-oriented open-skill exercise (OSE) and electronic sports (e-sports). Methods: Comprehensive literature searches were conducted using databases such as PubMed, Scopus, Web of Science, CiNii, and J-Stage (all available years) to identify studies examining the relationship between OSE, e-sports, and cognitive function. Results: Although various intervention studies have investigated aerobic exercise, resistance training, and other multifactorial exercise programs, a unified conclusion has not been reached regarding their effectiveness in enhancing cognitive function in the general elderly population or in patients with MCI or dementia. However, sports involving dynamic interaction with opponents (OSE) have shown a positive association with the maintenance and enhancement of cognitive abilities. Furthermore, e-sports present an accessible exercise modality, unrestricted by age, gender, time, or location, and are expected to support cognitive health in older adults. Conclusions: Aerobic-oriented OSE appears more effective than closed-skill exercise in preventing age-related cognitive decline and dementia. Additionally, e-sports may offer a comprehensive approach to brain health by integrating cognitive stimulation, physical engagement, social interaction, and stress reduction, though caution is advised regarding potential mental health concerns stemming from excessive use. Full article

This research aimed to propose a new methodological approach for analyzing relative age effect (RAE) in different sports or samples named “Relative age effect overall scale” (RAEOS). The sample consisted of 1455 male and female young athletes who competed in four different sports (basketball, n = 159; handball, n = 215; swimming, n = 981; taekwondo, n = 100) at the Youth Olympic Games (YOG) in Buenos Aires in 2018. To construct the new model, the sample was classified into four unified quartiles of a specific range depending on the sport (swimming: 48-month range, taekwondo: 24-month range, and basketball and handball: 36-month range). Expected and observed frequencies for each sport, the winners/all athletes, and differences between team and individual sports were analyzed using a non-parametric Chi-square test. The obtained results confirm the existence of the RAE in all four analyzed sports (p > 0.01) in a sample of all participants and the sample of gold medalists. Differences between team and individual sports in the analyzed sample have also been found. The proposed methodological approach (RAEOS) is a simple and applicable tool that provides opportunities for comparison and analysis of different sports and competition formats, as well as improvement of the sports talent system in the context of RAE issues. It is suggested to the sports decision-makers to improve the YOG qualification and competition system to enable fairer competition and reduce the influence of RAE on the performance and development of young athletes. Full article

Sport psychology research of ultra-endurance (UE) athletes focused predominantly on their psychological characteristics, traits, and behaviors. However, their happiness and passion, as well as a unified framework for UE hobby phenomenon, were not sufficiently investigated. This study aims to: (1) identify the main contributors to happiness and passion of non-professional UE athletes; and (2) explore the possible relationships between types of sport passion, motivation, and athletic identity. During data collection, 116 non-professional UE athletes (mean age 43.66 years, SD = 8.97, 16.4% female) responded to an online questionnaire. Statistical analyses revealed that obsessive UE passion (p < 0.05) and amotivation (p < 0.05) predicted lower levels of happiness. A higher level of obsessive passion was predicted by extrinsic motivation (p < 0.005), amotivation (p < 0.05), and exclusivity identity (p < 0.001); a lower level was predicted by social identity (p < 0.05) and years in sports (p < 0.05). Weekly training hours and age correlated positively with passion strength, while amotivation was strongly negatively related to training volume. These results indicate that happiness of UE athletes depends on the type of sport passion formed and the quality of the underlying motivation: obsessive passion and amotivation seem to be the main enemies of happiness for UE athletes. This novel finding connecting passion, happiness, and motivation contributes to both a better understanding of the psychology of UE athletes and has practical implications for UE athletes, coaches, athletes’ social circles, and sport psychologists. Due to known maladaptive outcomes of obsessive passion, including its negative impact on overall well-being, health, and now also on happiness, its formation in UE athletes needs to be observed and prevented. While the study shows predictors of obsessive passion and high vs. low obsessive passion, future research should investigate how harmonious passion impacts athletes’ happiness, motivation, and identity. Likewise, research among the UE entourage would help to better understand the social impact of UE as a serious hobby and the formation of UE lifestyles. We also suggest our Temporal Framework for Progressive UE Engagement and Passion, which was further developed based on the results of this study, to be used and validated by sport psychologists. Full article

Human movements are governed by a tradeoff between speed and accuracy. Previous studies that have investigated the tradeoff relationship in sports movements involving whole-body movements have been limited to examining the relationship from the perspective of competition-specific movements, and the findings on whether the relationship is valid have not been unified. Therefore, this study incorporated a vertical jump task with the introduction of a condition in which landing position control was added to evaluate the essence of a sports movement that requires both speed and accuracy. Accuracy was examined using a method that quantifies the coordinates of the landing and takeoff positions using entropy. The mechanism of that tradeoff was then examined by confirming the phenomenon and analyzing the 3D vector trajectories. An increase in accuracy and a decrease in speed were observed when the landing position was the control target, even in the vertical jumping task normally performed at maximum effort, and the 3D velocity vector was characterized by the following: a reduced scalar and a more vertical direction. While the entropy from the takeoff to the landing position seemed to decrease when the accuracy of the landing position improved, the following noteworthy results were obtained given the characteristics of the vertical jump. Unlike traditional feedback control in the entropy reduction in hand movements, the trajectory is predetermined in a feedforward-like manner by controlling the initial velocity vector at takeoff, which allows the landing point to be adjusted. Full article

Personally curated content in short-form video formats provides added value for participants and spectators but is often disregarded in lower-level events because it is too labor-intensive to create or is not recorded at all. Our smart sensor-driven tripod focuses on supplying a unified sensor and video solution to capture personalized highlights for participants in various sporting events with low computational and hardware costs. The relevant parts of the video for each participant are automatically determined by using the timestamps of his/her received sensor data. This is achieved through a customizable clipping mechanism that processes and optimizes both video and sensor data. The clipping mechanism is driven by sensing nearby signals of Adaptive Network Topology (ANT+) capable devices worn by the athletes that provide both locality information and identification. The device was deployed and tested in an amateur-level cycling race in which it provided clips with a detection rate of 92.9%. The associated sensor data were used to automatically extract peloton passages and report riders’ positions on the course, as well as which participants were grouped together. Insights derived from sensor signals can be processed and published in real time, and an upload optimization scheme is proposed that can provide video clips for each rider a maximum of 5 min after the passage if video upload is enabled. Full article

Introduction: The pathologic features of fatty tissue in lipedema are often challenging to diagnose, thus allowing for variable bias and leading to underdiagnosis. Lipedema is a disease that is currently little known worldwide, but it represents a public health problem and demands immediate, well-directed healthcare. Insufficient scientific information limits medical action, which limits making diagnoses and addressing an adequate multidisciplinary treatment. This study aims to evaluate the current state of lipedema in Spain to contextualize the disease’s pathophysiological characteristics and thus achieve a consensus that unifies and defines its diagnostic criteria and medical management. Likewise, this study aims to determine the effectiveness of the various treatments applied to the study patients and to evaluate the consequences of the pandemic related to this disease. Material and methods: The present work is a descriptive, cross-sectional study that analyzed online questionnaires. It was applied to 1069 patients and collected over 9 months between 2021 and 2022. The questionnaires were distributed to the leading national and regional associations of patients affected by lipedema. The study included all patients in a group who had a diagnosis of lipedema and in a group of undiagnosed patients with six or more symptoms. The variables analyzed were age, weight, height, body mass index (BMI), type of lipedema (according to Schingale’s classification), symptoms (according to Wolf’s classification, modified by Herbst), and treatments performed (physiotherapy, compression garments, sports, diet, radiofrequency, mesotherapy, and surgery), associated with the score given by the patients regarding the degree of improvement in their disease with each of these treatments. Results: There were 967 women and 2 men between 18 and 75 years old (mean of 38.5 years); a body weight between 33 and 150 kg (mean 75.8 kg); a height between 144 and 180 cm (mean 164 cm); and an average body mass index (BMI) of 28.1. The most common kind of lipedema in our study population was type III (affecting the hips, thighs, and calves). The treatment that individually improved patients’ quality of life the most was surgery, only surpassed by the multidisciplinary approach to the disease, including conservative measures. Conclusions: With this study, we can conclude that, in Spain, there is a real problem associated with the diagnosis of lipedema, specifying the need to seek this diagnosis actively and propose multidisciplinary management, since it offers the best overall results, of course not without forgetting that surgery is one of the most critical pillars in the approach to this disease. Consistent with the results obtained in this study, criteria were proposed and applied to represent a statistical value at the time of ruling on the clinical diagnosis of lipedema, considering that a patient who presents six or more of these diagnostic criteria, with a very high probability, will have lipedema. Full article

Through wearable sensors and deep learning techniques, biomechanical analysis can reach beyond the lab for clinical and sporting applications. Transformers, a class of recent deep learning models, have become widely used in state-of-the-art artificial intelligence research due to their superior performance in various natural language processing and computer vision tasks. The performance of transformer models has not yet been investigated in biomechanics applications. In this study, we introduce a Biomechanical Multi-activity Transformer-based model, BioMAT, for the estimation of joint kinematics from streaming signals of multiple inertia measurement units (IMUs) using a publicly available dataset. This dataset includes IMU signals and the corresponding sagittal plane kinematics of the hip, knee, and ankle joints during multiple activities of daily living. We evaluated the model’s performance and generalizability and compared it against a convolutional neural network long short-term model, a bidirectional long short-term model, and multi-linear regression across different ambulation tasks including level ground walking (LW), ramp ascent (RA), ramp descent (RD), stair ascent (SA), and stair descent (SD). To investigate the effect of different activity datasets on prediction accuracy, we compared the performance of a universal model trained on all activities against task-specific models trained on individual tasks. When the models were tested on three unseen subjects’ data, BioMAT outperformed the benchmark models with an average root mean square error (RMSE) of 5.5 ± 0.5°, and normalized RMSE of 6.8 ± 0.3° across all three joints and all activities. A unified BioMAT model demonstrated superior performance compared to individual task-specific models across four of five activities. The RMSE values from the universal model for LW, RA, RD, SA, and SD activities were 5.0 ± 1.5°, 6.2 ± 1.1°, 5.8 ± 1.1°, 5.3 ± 1.6°, and 5.2 ± 0.7° while these values for task-specific models were, 5.3 ± 2.1°, 6.7 ± 2.0°, 6.9 ± 2.2°, 4.9 ± 1.4°, and 5.6 ± 1.3°, respectively. Overall, BioMAT accurately estimated joint kinematics relative to previous machine learning algorithms across different activities directly from the sequence of IMUs signals instead of time-normalized gait cycle data. Full article

The acknowledgment of the qualities and features of the world is made through the body, movement, and imagination. During their development, children learn new skills, complexify their thoughts, and become more autonomous. The progressive increase in motor repertoire in children reflects a more unified and solid self. Nowadays, there is a generalized restriction of the movement of children. It starts at home when parents establish rigid and/or phobic attachments with their children; it can be also observed at school which is more and more based on rigid learning rhythms and obsessive ideas about students’ performance, and finally in urban areas where free and outdoor play has considerably decreased during recent decades. The current lifestyles in Western societies resulted in a decrease in play among children. The culture influences the dominant types of psychopathology and, during childhood, mental suffering is often expressed with the increase (turmoil) or decrease (inhibition) of the body movement. Sports are underpinned by movement and play; they are a powerful tool in health promotion and an excellent way to assign meaning to movement. This work is an essay about the importance of play and youth sports in child development. Full article

This qualitative study examines the perspectives of parents of youth with intellectual and developmental disability (IDD) who participated in Special Olympics Unified Sports^®, a program in which high school students with and without IDD compete on the same team. Based on semi-structured interviews with parents (n = 23) as part of a larger evaluation of Special Olympics Unified Champion Schools in three states in the United States, thematic analysis shows that parents perceived improvements in their child’s social and emotional skills, including demeanor and attitude, an enhanced sense of belonging at school, the emergence of new friendships and social opportunities, and rewarding interactions that flowed from the opportunity to engage in normative activities. Implications for schools and families are discussed in terms of the importance of providing and facilitating meaningful opportunities for inclusive extracurricular activities such as sports for youth with IDD. Full article

Only one decade since the emergence of the first sports-related mobile app, although there is a large amount of fitness software, the quality is uneven, and some people still have concerns about whether to use fitness software. College students account for a large proportion of the number of people using fitness software; through empirical research on the factors affecting the use of fitness software, it is of great significance to further promote people’s healthy behavior. This study investigates the factors that influence the user behavior of fitness software in college students and then addresses the promotion of better health behaviors among college students. Using a Likert scale, 994 college students (51.3% male, 48.7% female) in five universities (each university accounted for about 20% of students) were given questionnaires. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), assumptions were proposed, and a structural equation model (SEM) was constructed. The maximum likelihood method was used to analyze data and verify hypotheses. The results of the study show that social influence, performance expectancy, and effort expectancy significantly affect college students’ behavioral intention. Behavioral intention and gender have a significant positive effect and a moderating effect on user behavior. The development of fitness software should consider the factors mentioned above to enhance the health levels of college students. Full article

Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In the past five years, the number of CNN-based studies for 3D human pose estimation has been numerous and has yielded impressive results. However, studies often focus only on improving the accuracy of the estimation results. In this paper, we propose a fast, unified end-to-end model for estimating 3D human pose, called YOLOv5-HR-TCM (YOLOv5-HRet-Temporal Convolution Model). Our proposed model is based on the 2D to 3D lifting approach for 3D human pose estimation while taking care of each step in the estimation process, such as person detection, 2D human pose estimation, and 3D human pose estimation. The proposed model is a combination of best practices at each stage. Our proposed model is evaluated on the Human 3.6M dataset and compared with other methods at each step. The method achieves high accuracy, not sacrificing processing speed. The estimated time of the whole process is 3.146 FPS on a low-end computer. In particular, we propose a sports scoring application based on the deviation angle between the estimated 3D human posture and the standard (reference) origin. The average deviation angle evaluated on the Human 3.6M dataset (Protocol #1–Pro #1) is 8.2 degrees. Full article

The success of major events can enhance national image, boost people’s confidence, and alleviate the current “three-fold pressure”—contraction in demand, supply shocks and weak expectations. In the context of the carbon neutrality target, it is important to analyze the relationship between major events and carbon emissions as the ecological, social and economic systems become more closely related. To study the extent and persistence of the impact of major events on the carbon emissions of the hosting provinces, this paper collects annual carbon emission data from 2015 to 2019 for 30 provinces in China. The propensity score matching Difference in Difference model (PSM-DID) is used to explore the impact of major events, such as political conferences, sports events and cultural exchanges, at the national level on inter-provincial carbon emissions. The empirical study shows that (1) the carbon emissions of the provinces involved in major events significantly increase in the year when the major event is held, (2) the carbon emissions of the province significantly decrease in the year after the conclusion of the major event, and (3) the decrease is higher than the increase in carbon emissions in the year when the event is held. Finally, the model results are analyzed in the context of economic events and macroeconomic policy lags during the preparation period of the event, and policy suggestions are made to incorporate carbon neutrality into the overall layout study of ecological civilization construction, strengthening the construction of legal thinking, enhancing inter-provincial and inter-city pollution synergy control, innovating carbon-related technologies, unifying carbon emission accounting and improving data openness. Full article