Search Results (503)

This study investigates how early childhood education and care (ECEC) professionals in Austria perceive opportunities and risks associated with artificial intelligence (AI). While AI has gained increasing attention in educational research, empirical evidence in the ECEC context remains scarce. A quantitative online survey (May–June 2025) was administered to 292 Austrian ECEC teachers. While only 9.6% fully integrate AI into their practice, 34.3% use it at least occasionally. In contrast, 65.6% recognise its potential to support pedagogical processes like documentation, observation, or language education. Non-parametric group comparisons indicated significant differences in opportunity perceptions by age, education, and professional experience, whereas no systematic differences emerged in critical attitudes. The results suggest that professional experience and qualifications shape openness to AI, yet scepticism remains widespread across groups. For practice, the findings highlight the need for targeted PD formats, collegial learning opportunities, and pilot projects that enable professionals to explore AI tools in a reflective manner. Structural support in terms of infrastructure, regulation, and resources is essential to prevent additional strain. This study emphasises the significance of integrating AI into broader professionalisation processes. Full article

This systematic review examines how emotional well-being in journalism has been de-fined, experienced, and supported between 2010 and 2025. It draws on 15 peer-reviewed empirical studies identified in Web of Science and Scopus and evaluated using PRISMA 2020 and the MMAT. The review addresses three main gaps in the field: unclear definitions, limited synthesis of risk and protective factors, and scarce assessment of support interventions. Across studies, emotional distress emerges from structural pressures, such as overwork, trauma exposure, online harassment, job precarity, and the erosion of collegial networks. These pressures, rather than inherent traits of journalistic work, shape vulnerability. Protective factors include social support, editorial autonomy, professional experience, purpose-driven motivation, and practices like mindfulness or digital disconnection. Yet their impact is often limited by weak organizational infrastructures. Vulnerability is higher among women, freelancers, and early career journalists, although intersectional analyses remain rare. Sectoral and organizational responses—peer networks, resilience programs, trauma-informed training, and emerging digital safety policies—show promise but remain fragmented. The review concludes that emotional well-being should be framed as an ethical and structural responsibility within journalism, and that sustainable progress requires systemic measures that foster psychological safety and professional dignity. Full article

Background/Objectives: Women’s wrestling is one of the fastest growing sports within the United States at the high school and collegiate level. Weight-class sports, such as wrestling, present unique challenges for female athletes, particularly in managing acute weight fluctuations associated with the menstrual cycle. However, less is known regarding how sex-specific physiology may influence weight management strategies among female wrestlers. The purpose of this review was to highlight current weight loss trends among high school and collegiate female wrestlers and summarize the physiological mechanisms driving potential menstrual-related fluid retention and subsequent changes in body mass or composition. Methods: A literature review was conducted to include studies evaluating weight loss trends in female wrestlers competing in the United States. Additional literature focused on fluid, body mass, and body composition changes throughout the menstrual cycle was also included. Results: Recent evidence has provided observational data that can be used to develop descriptive summaries of current body composition profiles and weight loss trends among female wrestlers. These data can help to quantify the typical magnitude of weight loss changes observed in female wrestlers competing at the high school and collegiate level within the United States. Conclusions: These findings help provide insight into the magnitude of weight loss wrestlers undergo in an effort to compete in their minimal weight class, thus informing practitioners of potential health risks and helping guide optimal weight management efforts. Full article

This study examined the effects of contrast water therapy (CWT) on physiological, perceptual, and performance-related recovery in collegiate male swimmers following high-intensity interval training. Fifteen freestyle swimmers (19.3 ± 1.1 years) completed two sessions of five 100 m maximal-effort intervals under two recovery conditions, CWT and passive rest (PAS), in a crossover design. The CWT protocol consisted of 10 alternating immersions in hot (40–41 °C, 60 s) and cold (20–21 °C, 30 s) water. Blood lactate (LA), blood pressure (BP), and subjective fatigue (VAS-FAS) were assessed at multiple time points. Compared with PAS, CWT resulted in significantly lower post-recovery blood LA (7.75 ± 2.08 vs. 10.86 ± 2.86 mmol/L, p = 0.002) and reduced subjective fatigue (6.60 ± 1.30 vs. 7.60 ± 0.91 cm, p = 0.021), whereas no significant differences were observed in BP or 100-m swimming performance. Individual-level analyses revealed heterogeneous responses, with most swimmers demonstrating improved lactate clearance and reduced fatigue following CWT, although performance responses varied among participants. These findings indicate that CWT facilitates physiological and perceptual recovery without producing immediate performance enhancement. CWT may be considered a practical short-term recovery option for competitive swimmers, although its effectiveness likely depends on individual response characteristics. Further research involving larger and more diverse samples is warranted to clarify optimal application parameters and individual recovery profiles. Full article

Acceptance and Commitment Therapy (ACT) has been widely applied in clinical contexts; however, its systematic adaptation to elite sports, particularly precision-based disciplines such as shooting, remains underexplored. The present study aimed to develop and preliminarily validate an ACT-based psychological training program—the Acceptance and Commitment Performance Training for Shooters (ACPT-S)—by reframing ACT from a therapeutic intervention into a performance-oriented training framework. Using a multiphase formative evaluation design, a needs assessment was first conducted with 28 elite and collegiate shooters to identify sport-specific psychological demands. Based on these findings, a ten-session ACPT-S program was developed by integrating the six core ACT processes with shooter-specific routines, embodied exercises, and performance-relevant metaphors. The program was subsequently examined through two pilot studies: Phase 1 with four collegiate/corporate athletes and Phase 2 with 15 national-level shooters. Data were collected via session reflections, focus group interviews, and expert panel evaluations, and the Content Validity Ratio (CVR) analysis was used to assess conceptual clarity and implementation feasibility. The results indicated that ACPT-S was perceived as both feasible and contextually appropriate, with athletes reporting improvements in attentional focus, emotional acceptance, value-based motivation, and reduced anxiety. Qualitative analyses demonstrated strong engagement with ACT principles and their functional integration into shooting performance contexts, while all program components achieved CVR scores of ≥0.80, indicating a strong expert consensus. Program refinements were guided by feedback related to activity sequencing, metaphor resonance and personalization strategies. Overall, this study reconceptualizes ACT as a performance-enhancement framework rather than a purely clinical approach and introduces the ACPT-S as a novel, theory-driven, and scalable psychological training model for precision sports, providing a robust foundation for future longitudinal and comparative research. Full article

This study examined the effect of competition stress on recovery time in female collegiate soccer players. Thirty NCAA Division I athletes were monitored over 35 consecutive days using Polar Team Pro wearable devices, which captured exercise duration, distance covered, energy expenditure, sprint count, speed, heart rate, training load, and recovery duration. Data were collected across 20 practices and 7 competitions, totaling 845 observations. Linear regression was used to assess whether formal competition independently influenced recovery duration, controlling for time of day and workload variables. Athletes averaged 20.1 ± 1.1 years of age. Across all sessions, the mean exercise duration was 59.5 ± 38.7 min, with an average distance of 2.6 ± 2.1 km, and energy expenditure of 387.2 ± 283.5 kcals. Recovery duration was significantly longer after competition (51.3 ± 59.6 h) compared to practice (13.0 ± 15.8 h, p < 0.001). The regression model indicated that formal competition predicted an additional 51 h of recovery time (β = 50.540; p < 0.001), independent of physical workload. Recovery following formal competition is significantly prolonged, holding multiple components of workload constant. These findings offer novel insights into female athlete recovery and highlight the importance of sex-specific approaches in sports science. Full article

Background: Healthcare communication often relies on complex digital infrastructures, yet clinicians increasingly adopt general-purpose Instant Messaging Apps (IMAs) such as WhatsApp^® to meet unmet needs. DonnaRosa, an Italian community of breast cancer specialists founded in 2017, is a Community of Practice (CoP), where experts exchange second opinions, guidelines, and trial opportunities. This paper examines its origins, practices, and implications. Methods: A mixed-methods design was applied: (1) qualitative analysis of chat logs to identify interaction patterns and rules; (2) a 2024 online survey of 54 members (92.5% response rate) exploring demographics, usage, and perceived value; (3) ongoing semi-structured interviews with founders and participants to reconstruct history, recruitment, and professional impact. Results: The group has grown through personal invitations, creating a friendly network of oncologists. Communication is concise, colloquial, and collegial. Activities focus on case discussions, reassurance, interpretation of guidelines, and exchange of research opportunities. This article presents data from an online survey conducted in 2024, showing that the group is widely used for second opinions, often consulted even on weekends and holidays, and perceived as a source of professional support and learning. Members report that participation frequently changes or refines their clinical judgement, especially when guidelines are incomplete or ambiguous. The community also promotes resilience, reduces professional isolation, supports informal collaboration in research projects, and encourages interaction on organisational and healthcare management issues. Conclusions:DonnaRosa illustrates how informal IMAs can evolve into robust infrastructures of care and professional solidarity, complementing formal systems. In the era of artificial intelligence, CoPs like DonnaRosa may become even more relevant: AI tools, especially large language models, can accelerate literature retrieval and data synthesis, while the CoP provides the critical, experience-based interpretation needed for safe and meaningful application. Such a dual infrastructure—technological and human—offers a promising path for oncology, where complexity requires both computational breadth and the depth of expert clinical judgement. Taken together, these findings and the evolving role of AI in clinical communication underscore the need for oncology societies to develop governance frameworks that ensure the safe, accountable, and clinically appropriate use of instant-messaging tools in professional practice. Full article

Background: Inspiratory muscle performance plays a crucial role in athletic demands, yet its associations with anthropometric and positional variables in American football remain underexplored. This study examined relationships between inspiratory metrics and key characteristics in Division I collegiate football players. Methods: Eighty-five Division I collegiate football players (mean academic year in school: 2.87; height: 74.3 inches; weight: 108.13 kg; BMI: 30.21) underwent the Test of Incremental Respiratory Endurance (TIRE) to measure maximal inspiratory pressure (MIP), sustained maximal inspiratory pressure (SMIP), and inspiratory duration (ID). Bivariate and multivariate analyses assessed associations with height, weight, BMI, year in school, offense/defense status, and playing position. Results: Inspiratory performance showed limited associations with anthropometric variables, with only a weak correlation between height and ID. (ρ = 0.243, p = 0.024). No significant differences were observed by year in school or position Conclusions: Inspiratory performance appears largely independent of anthropometric and positional factors; future research should explore targeted respiratory training as a hypothesis rather than a confirmed benefit. Full article

This study aimed to compare the acute effects of three eccentric training strategies—constant resistance (CR), accentuated eccentric loading (AEL), and accelerated eccentrics (AE)—on the performance and biomechanical characteristics of the concentric phase of the squat, while maintaining a consistent squat depth. Twenty-four experienced resistance-trained male collegiate athletes (age: 21.92 ± 2.66 years; height: 175.88 ± 4.39 cm; body mass: 73.18 ± 8.08 kg) were recruited. A randomized crossover design was employed, where participants completed three squat protocols (eccentric load/concentric load/eccentric duration): AEL (90% 1RM/60% 1RM/2 s), CR (60% 1RM/60% 1RM/2 s), and AE (60% 1RM/60% 1RM/as fast as possible). Throughout the squats, kinematic and kinetic data were synchronously collected using an 8-camera 3D infrared motion capture system and two 3D force plates. The mean concentric barbell velocity in the AE condition was significantly higher than in both the AEL and CR conditions (p < 0.001). Furthermore, the AE condition demonstrated significant advantages in multiple biomechanical variables, including peak ground reaction force, as well as peak angular velocity and peak joint moments of the three lower limb joints (p < 0.05). With identical concentric loads and range of motion, increasing the velocity of the eccentric phase significantly enhances subsequent concentric performance and force output. In contrast, while the AEL strategy increases the mechanical load during the eccentric phase, its potentiating effect on concentric performance is relatively limited. These findings suggest that eccentric velocity may be a more critical variable than eccentric load in strength training. Full article

This study examined isometric force–time characteristics of weightlifters at three key positions of the clean and their ability to predict competition performances. The three key positions were the isometric mid-thigh pull (IMTP), the isometric pull at the start of the transition (IPST), and the isometric pull at the start position (IPSP). Seventeen collegiate-level competitive weightlifters (10 males and 7 females) with varying weightlifting achievements (10 of the 17 have medaled at sanctioned USAW national meets) performed isometric strength tests that measured peak force (IPF), rate of force development (RFD), Impulse (IMP), and allometrically scaled variables. The reliability for all measures was high (ICC ≥ 0.86). The IMTP produced the largest absolute forces; however, the IPSP and IPST showed the largest correlations with snatch, clean and jerk, and total, with multiple near-perfect correlations (r ≥ 0.90). RFD and Impulse demonstrated more significant correlations at later time bands (≥200 ms). These findings suggest that measuring multiple isometric positions may provide valuable insight into a weightlifter’s positional strength. Including IPSP and IPST testing protocols with RFD and IMP measurements can augment athlete monitoring and inform training strategies. Full article

As neuromuscular performance assessment has become a fundamental component of athlete monitoring, ensuring strong measurement reliability is essential for supporting accurate data-driven decision-making. Thus, the purpose of this study was twofold: (i) to examine the reliability of countermovement vertical jump (CMJ) force-time metrics obtained using a portable force plate system (Hawkin Dynamics) and (ii) to determine whether absolute and relative reliability scores differ between well-trained individuals (i.e., athletes) and those less familiar with CMJ force-plate testing (i.e., non-athletes). Seventy-four participants volunteered to take part in this investigation, of whom thirty-nine were NCAA Division-I baseball and track-and-field athletes and thirty-five age-matched non-athletes with no prior CMJ testing experience on force plates. After performing a standardized dynamic warm-up, participants performed three CMJs without arm swing while standing on a dual uniaxial force plate system sampling at 1000 Hz. Each jump trial was separated by a 30 s rest interval. Absolute and relative reliability were assessed using the coefficient of variation (CV) and intraclass correlation coefficient (ICC), respectively. The results revealed that 75% of the variables demonstrated excellent reliability. Specifically, absolute (CV < 10%) and relative (ICC > 0.750) reliability values were good to excellent for most force-time metrics of interest, including braking and propulsive phase duration, peak braking force, average propulsive power, reactive strength index-modified, countermovement depth, and jump height. In contrast, average and peak landing force and inter-limb asymmetry measures during the braking and propulsive phases displayed moderate to good reliability, whereas asymmetry-related variables during the landing phase exhibited poor reliability. In addition, athletes demonstrated lower CV and greater ICC across most metrics compared to non-athletes. Full article

Optimal nutrition in athletes can contribute to training adaptations, recovery, performance, and injury prevention in addition to supporting their overall health and well-being. Macronutrient intake and the link to role in athletic performance has been investigated by several studies, while micronutrient intake in athletes appears to be understudied. Therefore, the purpose of this study was to assess caloric and selected micronutrient intakes in female collegiate student-athletes across several sports. The participants from seven sports were instructed to complete 3-day food records; dietary intakes were compared to their individual nutritional needs. Results of this study indicated that average intakes of our participants for vitamin C (132.3%), vitamin K (110.5%), and sodium (173%) intakes were significantly above the recommended intakes. However, average intakes for calories (78.0%), calcium (63.1%), magnesium (68.7%), potassium (83.8%), and iron (80.8%) were all significantly below the recommended intakes. More specifically, indoor volleyball and golf athletes exhibited significantly lower vitamin A intake (53.3% and 43.6%, respectively), while iron insufficiency (% of recommendation) was more pronounced in the indoor volleyball (59.8%), golf (65.4%), and tennis (69.9%) teams. Chronic underconsumption of calories and micronutrients can lead to numerous health and athletic performance related consequences. Thus, recognizing and addressing inadequate intakes is imperative to help the student-athletes meet their needs in alignment with dietary guidelines through nutrition education and counseling, as well as dedicated funding and resources towards promoting their overall health, well-being, and athletic as well as academic performance and success. Full article

Background: Adequate sleep is essential for recovery and performance in athletes. Internal and external training loads closely relate to sleep, but few studies have examined their distinct off-season effects. This study investigated the relationships among training load, hormonal markers, and sleep parameters in collegiate male rowers. Methods: Eleven rowers were monitored over 4 months (October 2022–January 2023). Internal load was assessed via session ratings of perceived exertion, external load by accelerometry-based indicators, sleep variables by actigraphy and the Pittsburgh Sleep Quality Index, and hormonal status via salivary cortisol and testosterone. Repeated-measures analysis of variance and correlation and regression analyses were applied. Results: Training load showed significant temporal variation (p < 0.01), with October having the highest intensity. Increased loads were associated with poorer sleep outcomes, including reduced total sleep time (p < 0.05), higher latency (p < 0.05), and decreased efficiency (p < 0.05). External load was linked to fragmentation indices (wake after sleep onset, awakenings; p < 0.05), whereas internal load correlated with improved efficiency in certain months (p < 0.05). Hormonal fluctuations, particularly cortisol and testosterone, also correlated with sleep parameters (p < 0.05). Conclusions: Internal and external loads exerted distinct influences on sleep, supporting the hypothesis that both must be monitored. Sleep duration and efficiency emerged as modifiable targets for optimizing recovery and performance in athletes. Full article

Background: Blood lactate concentration and muscle oxygen saturation (SmO₂) are widely used indicators of endurance performance, reflecting the balance between oxygen delivery and utilization during exercise. To date, no studies have examined how the rs1049434 polymorphism of the SLC16A1 gene (the polymorphism) influences SmO₂ referenced to blood lactate thresholds in long-distance (LD) runners. This pilot study aimed to investigate the association between SmO₂ referenced to blood lactate concentration during maximal and submaximal exercise and the polymorphism in male collegiate LD runners. Methods: Overall, 15 Japanese male collegiate LD runners participated. Physiological parameters, including respiratory gas data, were measured during a graded incremental exercise test using the breath-by-breath method. SmO₂ was recorded from the right vastus lateralis muscle. Participants were genotyped for rs1049434, and comparisons were made between the AA genotype and T-allele carriers (AT + TT genotype). Results: Runners with the AA genotype exhibited significantly higher %$\stackrel{·}{\mathrm{V}}$O_2max at the lactate threshold (p = 0.044) and at the onset of blood lactate accumulation (OBLA) than T-allele carriers (p = 0.023). For SmO₂ measurements, those with the AA genotype displayed shorter t1/2_{reoxygenation} (p = 0.043) and higher SmO_2max (p = 0.045). Furthermore, SmO₂-OBLA was significantly higher in the AA genotype than in T-allele carriers (p = 0.029). Conclusions: These findings suggest that runners with the AA genotype may have greater oxygen utilization efficiency and potentially improved muscle oxygen delivery during high-intensity exercise. However, these are preliminary results, and further studies with larger and more diverse cohorts are needed to confirm these observations. Full article

The increasing use of artificial intelligence (AI) in athlete health monitoring and injury prediction presents both technological opportunities and complex ethical challenges. This narrative review critically examines 24 empirical and conceptual studies focused on AI-driven injury forecasting systems across diverse sports disciplines, including professional, collegiate, youth, and Paralympic contexts. Applying an IMRAD framework, the analysis identifies five dominant ethical concerns: privacy and data protection, algorithmic fairness, informed consent, athlete autonomy, and long-term data governance. While studies commonly report the effectiveness of AI models—such as those employing decision trees, neural networks, and explainability tools like SHAP and HiPrCAM—few offers robust ethical safeguards or athlete-centered governance structures. Power asymmetries persist between athletes and institutions, with limited recognition of data ownership, transparency, and the right to contest predictive outputs. The findings highlight that ethical risks vary by sport type and competitive level, underscoring the need for sport-specific frameworks. Recommendations include establishing enforceable data rights, participatory oversight mechanisms, and regulatory protections to ensure that AI systems align with principles of fairness, transparency, and athlete agency. Without such frameworks, the integration of AI in sports medicine risks reinforcing structural inequalities and undermining the autonomy of those it intends to support. Full article