Boise State University

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    26242 research outputs found

    A299: Research on the Gym Business Model Under the Combination of Fitness and Health Management Under the Service-Dominant Logic

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    With the upgrading of healthy consumption and the deepening of national fitness awareness, the business model of traditional gyms with facility leasing as the core is difficult to meet the diversified health needs of users. Purpose: Based on the theory of Service-Dominant Logic, this study focuses on the deep integration of fitness and health management services and explores the innovation path of the gym business model. By deconstructing the core concepts of value co-creation , operational resource integration , and service ecosystem in the service-oriented logic, combined with the specialization, personalization, and sustainability characteristics of health management services, a gym service framework with user health value as the core was constructed. Literature review method and case analysis method. Through literature search on CNKI and Web of Science, this study uses the case analysis method to select three typical innovative gyms in the world for empirical reveal their synergistic effects through the integration of fitness guidance, health monitoring, nutrition intervention, and data-based services. (1) Gyms need to transform from space providers to health solution integrators to achieve value co-creation through user participatory design;(2) The embedding of health management services needs to rely on digital tools and cross-field cooperation (medical institutions, dietitian teams) to build a dynamic resource network;(3) The profit model should shift from a single membership system to a hierarchical system of basic services + value-added services , covering derivative value points such as personalized health plans, remote guidance and community operations. Innovation: This study proposes a new perspective of health management as a service , deeply integrating medical and health management modules such as health monitoring, risk assessment, and personalized intervention with fitness services, and fills the theoretical gap in the existing research on cross-domain collaboration mechanisms and dynamic value generation path. Limitations: The limitations of the research include insufficient sample depth, the theory of service value co-creation mechanism needs to be expanded, and the cross-regional universality verification of business models is insufficient. Practical implications:1) Provide feasible solutions for fitness companies to extend high value-added services such as health assessment, exercise prescription, and so on.2) By building a data-driven health management closed loop, it helps enterprises realize the transformation from a single sports space to a health solution platform3) The research results have direct guiding value for the service design, cross-domain resource integration and customer life cycle management of the health industry

    A097: Intelligent Exercise Prescription Facilitates the Development Path of Sports for Obese Populations

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    The global population of individuals is expanding rapidly. By 2024, the obesity rate among adults in China is expected to surge to 16.4%, while globally, over 4 billion people are facing issues of overweight or obesity. Traditional exercise prescriptions suffer from the limitations of generalized guidance and static prescriptions. Studies have shown that due to the neglect of individual metabolic differences, only 20% of individuals can maintain clinically significant weight loss for more than 12 months, and merely 10-25% patients can sustain a weight loss of ≥10% in the long term. The intelligent technology-driven exercise intervention system is reshaping the paradigm of obesity management. By integrating multi-source physiological data and machine learning models, it has overcome the limitations of traditional exercise prescriptions, achieving a leap from generalized guidance to personalized adaptation. This study employs literature review and logic analysis to explore the application of artificial intelligence (AI) technology in exercise prescriptions and its effects on health interventions for obese populations. The focus is on the application of AI in exercise prescription generation, integration of behavioral theories, dynamic prescription optimization, and lifestyle interventions. Existing research has been systematically reviewed to identify the advantages, limitations, and future directions of AI technology in obesity management. (1) Multi-dimensional biological modeling for prescription generation, integrating interdisciplinary methods, collects parameters such as body fat distribution, resting metabolic rate, and cardiopulmonary endurance to establish personalized exercise prescriptions. (2) Integration of behavioral theories: Obese populations commonly exhibit executive dysfunction. Virtual reality exposure therapy and simulated dietary temptation scenarios are used to train patients\u27 control abilities. (3) Dynamic prescription optimization: AI, combined with cutting-edge technologies such as wearable biosensors and radar monitoring, tracks real-time data on lactate threshold, oxygen saturation, and abnormal heart rates in obese subjects, ensuring the safety and effectiveness of the prescriptions. AI technology in the application of exercise prescriptions needs to address challenges related to data security, algorithmic fairness, and ethical regulation. Interdisciplinary technological collaboration and innovation are essential to promote its standardized adoption in the field of obesity management

    A069: Visual Analysis of Tourism Resources Research on Sports Events in China in the Past Ten Years

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    Using CiteSpace for visual analysis, this study aim to systematically the research status of China\u27s sports event tourism resources in the past decade, clarify the development trajectory, accurately locate hot topics, and predict the future frontier trend, so as to provide theoretical reference for the development and development of China\u27s sports event tourism resourcesdeepen the understandingof sports event tourism resources research field. Method: In this study, CiteSpace 6.3.R1 was used to process the integrated data. Parameters were set as: (1) Time Slicing was set as January 2014 to December 2024; (2) Node type (Institution) was set as co-authors, institutions, and keywords; (3) The node filtering method uses the g-index algorithm to set the threshold. Through visual analysis of the effective literature after screening, the research trends, hot spots, and future development trends in the field of sports tourism resources research in China in the past ten years were obtained. The research findings are as follows: (1) The research dynamics of sports event tourism resources are multi-disciplinary, and the number of published documents is phased growth and fluctuation. (2) The research focuses on emerging research fields such as the integration mechanism of sports events and tourism, the development of tourism destinations for sports events, and the experience and behavior of tourists; (3) Future research trends mainly focus on cutting-edge trends such as technology integration and innovative application, cross-regional cooperation and development, and tourism of niche and special events. In the future, the research and practice of tourism resources for sports events can be carried out from the following perspectives:(1) From the perspective of ecology, green sports event tourism may become an important trend of tourism development in the future. (2) From the perspective of consumer experience, more attention will be paid to the exploration of sports event tourism resources and the vertical extension of market space in the future. (3) From the perspective of industrial integration and value chain, deepen the penetration and integration of sports and tourism, health care, research, culture, and other industries in all aspects and angles, and realize the multidimensional value of the tertiary industry

    A029: The Theory and Path of Digital Transformation of Ski Tourism Resort

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    With the rapid development of digital technology, ski resorts are facing an inevitable trend of transitioning from traditional operating models to digital directions. According to the China Ice and Snow Tourism Development Report (2024) , the number of ice and snow tourists in China during the 2022-2023 ice and snow season reached 312 million, with a revenue of 349 billion yuan. It is expected that by 2025, the number of ice and snow leisure tourists in China is expected to climb to 520 million, with a revenue of 720 billion yuan. Tourism has become an important branch of winter tourism, and the market demand continues to grow. Digital technologies such as 5G, AI, IoT, and big data provide new opportunities for industrial upgrading. Method: Using keywords such as “digital transformation” and “ski tourism resort”, we searched multiple databases such as CNKI, ScienceDirect, and Google Scholar to summarize the theoretical logic of digital transformation in ski resorts. The research team conducted on-site inspections of Chinese national ski resorts such as Yabuli Ski Resort in Heilongjiang, Songhua Lake Ski Resort in Fengman, Jilin, and Chongli Ski Resort in Hebei, winter 2023-2024, to identify the difficulties and proposed targeted paths. 1.Theoretical logic: The connotation of digital transformation is to reconstruct business processes, service models, and industrial ecology through digital technology, with the core goal of achieving efficient resource allocation, upgrading tourist experience, and reducing operational costs and increasing efficiency; The theoretical support is the theory of smart tourism (optimizing the entire tourism service chain with data as the core) and the theory of industry integration (cross-border collaborative innovation of ski tourism and digital technology).2.Difficulties: weak infrastructure, insufficient data application capabilities, traditional operational inertia, and security and privacy risks.3.Path: Infrastructure construction, building a digital foundation; Building a data platform to drive precise decision-making; Upgrade service experience and create intelligent services for all scenarios; Intelligent security management; Ecological synergy, building an industrial digital community. Digital transformation is an inevitable choice for ski resorts to break through development bottlenecks, and it requires coordinated promotion of the transformation process from four dimensions: technology, data, services, and ecology. Is to explore the integration of the metaverse and skiing tourism, focusing on the ethical convenience of digital technology applications and the protection of tourist privacy

    A198: Virtual Reality and Tennis Skills Training: Match Simulation, Real-Time Feedback, and Comprehensive Assessment

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    This study examined the efficacy of virtual reality (VR) technology in enhancing tennis skill training, with an emphasis on three pivotal aspects: competition simulation, real-time feedback, and comprehensive assessment. As technological advancements continue to permeate sports training, VR presents novel opportunities for augmenting athletic performance by facilitating more engaging and effective training methodologies. Employing a systematic review of the extant literature, our research identified key components of VR that beneficially impact tennis training. This exploration includes the application of VR in generating immersive competition simulations, offering immediate and personalized feedback, and conducting extensive evaluations utilizing artificial intelligence and big data analytics. Additionally, qualitative feedback from professional trainers and athletes who have integrated VR into their training routines was analyzed to assess its practical impacts. Our findings revealed that VR significantly enriches the training experience by providing athletes with realistic match simulations that enhance their proficiency in managing high-pressure situations. The instantaneous feedback offered by VR enables athletes to correct their techniques in real time, a capability that conventional training methods may neglect. For a comprehensive assessment, the integration of VR with AI offers detailed analytics, which facilitates a deeper understanding of athletes\u27 performance dynamics. Notably, athletes reported enhancements in their reaction times, decision-making capabilities, and overall competitive preparedness. The implications of VR technology in tennis skill training are profound, demonstrating substantial benefits in replicating realistic sports environments and integrating sensory feedback systems that accelerate learning and adaptability among athletes. Future research should focus on the integration of VR into regular training regimes and the development of personalized training modules tailored to the specific needs of athletes. The potential applicability of VR systems across various sports and training contexts also merits further investigation. This study highlights the transformative potential of VR in revolutionizing traditional training methods, providing a versatile, efficient, and interactive training platform. However, the adoption of VR in sports training programs faces challenges, including the high costs associated with VR equipment and the specialized training required to utilize such technologies effectively. These limitations present crucial areas for future research and development in the broader implementation of VR in sports training

    A286: Deepseek Empowering Extracurricular Physical Activities

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    Traditional management approaches for school extracurricular physical activities increasingly struggle with efficiency and personalization amid growing program diversity. This study investigates DeepSeek—a domestically developed AI large language model—to optimize activity design, event logistics, and training strategies in physical education (PE) through human-AI collaboration. Utilizing a qualitative design, semi-structured interviews were conducted with 15 PE teachers across Beijing secondary schools. Case studies of DeepSeek-assisted programs (e.g., AI-curated recess exercise sequences, data-driven sports festival schedules) were analyzed via thematic coding. Triangulation of interview transcripts, teacher journals, and activity logs ensured methodological rigor. Three key themes emerged: 1) Personalized activity recommendations (e.g., blending dance and strength training for fitness gaps) increased student participation by 68% based on teacher estimates; 2) AI-generated scheduling reduced time spent on logistics by 40%, though 87% of teachers modified outputs for local constraints; 3) Performance analytics enabled tiered skill development plans, yet 93% emphasized manual oversight for high-risk activities. Teachers particularly valued AI\u27s ability to synthesize student health data with curriculum standards but noted limitations in adapting to sudden environmental changes. DeepSeek effectively augments PE management through data-informed automation while requiring strategic human intervention for contextual adaptation. The study establishes a proof-of-concept for AI\u27s role in reducing administrative burdens and enabling differentiated instruction, contingent on dynamic teacher-AI workflows. Future research should explore hybrid decision-making models and resource-sensitive implementation protocols for varied educational contexts

    A065: Effect of Mental Fatigue on Lower Limb Biomechanics and ACL Injury Risk in Basketball Players

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    Anterior cruciate ligament (ACL) injuries are prevalent among basketball players, particularly during abrupt stop-jump actions. While most existing studies have focused on the impact of physical fatigue on athletic performance, the role of mental fatigue has been largely overlooked. High-intensity games can induce mental fatigue, which may further increase the risk of ACL injuries by altering lower limb biomechanical characteristics. However, the underlying mechanisms remain unclear. This study aimed to investigate the effects of mental fatigue on the biomechanical characteristics of the lower limb during a sharp stop-jump task in basketball players and to assess whether mental fatigue increases potential risk factors associated with ACL injuries. A total of 38 basketball players were recruited via a self-controlled study design. Mental fatigue was induced through a 45-minute Stroop task, with fatigue levels assessed via the visual analogue scale (VAS). Infrared motion capture systems, force platforms, and surface electromyography (EMG) devices were used to measure changes in kinematic, kinetic, and surface EMG data before and after mental fatigue intervention. The Wilcoxon signed-rank test was applied to the effects of mental fatigue on lower limb biomechanical characteristics. Following the induction of mental fatigue, significant decreases were observed in the knee flexion angle (z = -2.211, P = 0.02), internal rotation angle (z = -2.228, P = 0.02), internal rotation moment (z = -2.178, P = 0.02), and median frequency (MDF) of the rectus femoris (z = -3.009, P \u3c 0.01), biceps femoris (z = -3.285, P \u3c 0.01), tibialis anterior (z = -3.053, P \u3c 0.01), and gastrocnemius (z = -2.110, P = 0.03), as well as in the root mean square (RMS) of the tibialis anterior (z = -2.139, P = 0.03). Conversely, significant increases were noted in the peak vertical ground reaction force (z = -2.015, P = 0.04), knee extension moment (z = -2.162, P = 0.03), and RMS of the rectus femoris (z = -2.067, P = 0.03). Studies have demonstrated that mental fatigue negatively impacts the biomechanics of the lower extremities during abrupt stop jumps in basketball players, potentially increasing the risk of ACL injury. Targeted interventions should be developed to prevent the potential impact of mental fatigue on ACL

    A070: The Effect of Yoga on Depression in Adolescent Females: A Systematic Review

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    Depression is common among adolescent females and has a significant impact on their quality of life and academic performance. Thus, effective interventions for lowering depressive symptoms in adolescents are needed. Yoga may be an effective form of exercise for female teenagers who are depressed. To date, no systematic research has been conducted on the effectiveness of yoga on depression in female adolescents aged 10 to 18. The objective of this review is to thoroughly evaluate the effectiveness of yoga in treating depression in female adolescents. This will generate new ideas for preventing and treating mental health problems and depression in adolescent females. Method: The search was conducted via four Chinese and English databases from the time of construction until May 2024, including PubMed, Cochrane Library, Web of Science, and China National Knowledge Infrastructure (CNKI), screening studies on the effects of yoga on depression in adolescent females. The methodological quality of the included studies was rigorously assessed using the Risk of Bias 2 (RoB-2) tool for randomized controlled trials. Nine studies met the inclusion criteria, encompassing a total of 544 adolescent female participants. The studies (88.9%) demonstrated that yoga interventions were associated with significant improvements in depressive symptoms. The interventions varied in duration, frequency, and style of yoga, but common elements included mindfulness-based practices, breathing exercises, and physical postures. The findings suggest that yoga may be an effective intervention for reducing depressive symptoms in adolescent females. However, the current evidence base is limited by the small number of studies and variability in intervention protocols. Future research should aim to establish standardized yoga programs, employ larger sample sizes, and include longer follow-up periods to better understand the optimal dose of intervention and assess the sustainability of its effects

    A125: Effects of HD-tDCS Combined with Bosu Ball Training on Balance in Individuals with CAI

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    Chronic ankle instability (CAI) is a prevalent condition characterized by postural instability, recurrent sprains, and maladaptive neuroplasticity in sensorimotor cortices. This study aimed to evaluate the effects of a 6-week intervention combining high-definition transcranial direct current stimulation (HD-tDCS) targeting the central nervous system regions (e.g., M1/S1 cortices) with Bosu ball training on balance in individuals with CAI. Forty participants with chronic ankle instability (CAI) were recruited and randomly assigned to HD-tDCS+Bosu (n=20) or Bosu (n=20) groups using a computer-generated sequence. The HD-tDCS+Bosu group received active HD-tDCS (2mA, 20min) combined with Bosu ball training, while the Bosu group received sham HD-tDCS paired with identical Bosu training. Both groups underwent the intervention for six weeks, with three 20-minute sessions per week. The data on the postural stability were assessed at baseline (week0) and post-intervention (week 7). The postural stability was quantified by the root mean square (RMS) of the center of pressure (CoP) displacement during the single-leg stance test on a force plate. Two-way ANOVA with repeated measures was adopted to analyze the data. Significant group-by-intervention interactions were detected in the CoP-RMSml (p =0.009, η²p = 0.205). Post hoc comparisons showed that compared with week0, CoP-RMSml was reduced at week 7 in both the HD-tDCS + Bosu group (week0: 14.207 ± 2.695, week7: 9.459 ± 2.260, p = 0.002, d = 1.203) and the Bosu ball training group (week0: 14.105 ± 2.514, week7: 12.315 ± 2.482, p = 0.025, d = 0.721). The HD-tDCS + Bosu group showed a greater decrease in CoP-RMSml (p = 0.003, d = 1.152). In addition, a main effect of time was observed for CoP-RMSap (p = 0.015, η²p = 0.183), with decreases in both groups (HD-tDCS + Bosu group: week0: 9.440 ± 1.442, week7: 8.473 ± 1.882; Bosu group: week0: 9.459 ± 2.272, week7: 8.576 ± 1.151 The 6-week HD-tDCS combined with Bosu ball training significantly enhanced postural stability in individuals with CAI, demonstrating greater efficacy than sham HD-tDCS paired with identical Bosu training. The combined neuromodulation-targeting intervention (M1/S1 cortices) achieved superior rehabilitation outcomes for central sensorimotor integration deficits. These findings substantiate the clinical value of dual-pathway interventions that synchronously enhance corticospinal plasticity and task-specific motor adaptation in CAI management

    A094: Dose-Response Effects of Tennis Participation on Cardiorespiratory Fitness in College Students

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    Based on the FITT-VP principle, this study investigated the dose-response relationship between tennis participation and cardiorespiratory fitness (CRF) in college students. Addressing the current reliance on expert consensus for exercise prescription and the lack of dose-regulation mechanisms, this study focused on high-intensity interval training (HIIT) and sprint interval training (SIT). It aimed to analyze the dynamic relationship and biological mechanisms between exercise intensity (SIT: 80-100% HRmax vs. HIIT: 75-90% HRmax), duration (8 weeks, frequency 2-3 sessions/week), and key CRF indicators (VO2max, anaerobic threshold, and exercise efficiency). Forty healthy college students with similar tennis experience were randomly assigned to HIIT (n=10), SIT (n=10), HIIT+SIT (n=10), or moderate-intensity continuous training (MICT, 60-70% HRmax, n=10) groups for an 8-week intervention. Pre- and post-intervention measurements included body composition, cardiopulmonary parameters (VO2max, anaerobic threshold, exercise efficiency), and physiological indicators (heart rate recovery, blood lactate concentration). Statistical analyses employed two-way repeated-measures ANOVA for group differences and mixed-effects models to quantify the relationship between CRF improvement and dose parameters. Multidimensional data integration was performed using PCA-PLS-DA. Post-exercise plasma PGC-1α levels were measured via ELISA, and mitochondrial oxidative capacity was assessed using near-infrared spectroscopy (NIRS) of the vastus lateralis. 1) HIIT significantly improved VO2max (12.9%, p \u3c 0.05) compared to SIT (7.6%), with increases positively correlated with PGC-1α elevation (r=0.67, p \u3c 0.01). SIT showed greater improvement in peak anaerobic power (Δ15.3%) than HIIT (9.7%). 2) The HIIT+SIT group exhibited synergistic effects, with exercise efficiency increasing by 11.7% (ΔECR) and heart rate recovery improving by 8.8s (ΔHRR). 3) Dose-response modeling revealed a linear trend for HIIT (R²=0.72) and an intensity threshold effect for SIT (≥90% HRmax). The dose-response effects of tennis on CRF may be mediated by the AMPK-PGC-1α pathway. The study proposes a “stepwise” training regimen based on the interaction of “intensity-volume” for different training goals (aerobic capacity/anaerobic endurance), providing new insights for personalized exercise prescription design

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