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Nevin Manimala Statistics

Confronting gender stereotypes in sports vocational education: a case study

Front Sports Act Living. 2025 Sep 16;7:1673199. doi: 10.3389/fspor.2025.1673199. eCollection 2025.

ABSTRACT

This study explores the impact of a training workshop on gender equality among vocational training students in teaching and social and sports activities in Aragon, Spain. The evaluation of attitudes, beliefs and gender stereotypes related to leadership in sports was conducted on the basis of an analysis of pre- and post-intervention surveys. The methodology incorporated participatory techniques such as brainstorming, killer data and gamified interactive tools, with the objective of encouraging critical reflection and active learning. The results indicate that, although no statistically significant changes were observed, there was an improvement in the Egalitarianism Index (+0.51) after the workshop, especially among female participants. Furthermore, cluster analysis revealed a shift towards attitudes that are more homogeneous and favourable towards equality. The study concludes that this type of intervention has the potential to raise awareness among future sports professionals about structural inequalities and gender stereotypes, and highlights the importance of incorporating specific equality content into vocational training curricula. Notwithstanding the constraints imposed by the sample size and duration, this experience is presented as a promising pedagogical proposal that can be replicated in other educational contexts.

PMID:41036503 | PMC:PMC12479542 | DOI:10.3389/fspor.2025.1673199

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Nevin Manimala Statistics

Rethinking the strongest link: VAL, ratings, and team success in Hungarian basketball

Front Sports Act Living. 2025 Sep 17;7:1658676. doi: 10.3389/fspor.2025.1658676. eCollection 2025.

ABSTRACT

INTRODUCTION: This study evaluates the impact of individual player performance-particularly the VAL rating-on team success in professional basketball. It examines whether basketball operates as a “strong-link” sport, where outcomes depend primarily on top-performing players.

METHODS: A quantitative analysis was conducted on the 2022/2023 Hungarian NB I/A men’s league, using 21 offensive and defensive statistical indicators. Data were collected from official league sources and analyzed using IBM SPSS Statistics version 28.0.

RESULTS: Our findings reveal no significant correlation between individual VAL rankings and team standings. However, offensive and defensive ratings, as well as NET ratings (points scored over opponents per 100 possessions), were strongly associated with team performance, especially among foreign and young players. The VAL metric was more influenced by offensive than defensive performance. Limited playing time and experience may have affected the performance metrics of young players.

DISCUSSION: These results suggest that while basketball reflects strong-link sport characteristics, traditional metrics like VAL may not fully capture a player’s contribution to team success. A more comprehensive approach-incorporating both offensive and defensive indicators-could offer a clearer evaluation of player impact. Future research should also explore psychological, tactical, and social factors to better understand individual roles in team performance.

PMID:41036502 | PMC:PMC12483447 | DOI:10.3389/fspor.2025.1658676

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Nevin Manimala Statistics

How Everything Is Connected to Everything Else – Population-Specific Connections between Adaptive Evolution, Disease Susceptibility, and Drug Responsiveness

Adv Genet (Hoboken). 2025 Sep 10;6(3):e00018. doi: 10.1002/ggn2.202500018. eCollection 2025 Sep.

ABSTRACT

The genome is like a kaleidoscope through which researchers have obtained varied findings, including favored mutations, disease susceptibility sites, and drug-responsive sites. Whether these findings have inherent connections is a question deserving investigation. Favored mutations enable humans to adapt to changing environments and lifestyles; however, the adaptation may come with some costs. This is because a favored mutation can change the frequency of varied neutral nucleotides across a large genomic region, and a favored mutation may become disfavored as environments and lifestyles change further. These are the best-known classes of connections whose causes and consequences have been understood. However, many favored mutations remain unidentified. Using a deep learning network (DeepFavored) that integrates statistical tests and is trained on large datasets, favored mutations are recently identified in 17 human populations. The analyses of the results, in conjunction with genome-wide association study (GWAS) data, suggest that the connection between adaptive evolution, disease susceptibility, and drug responsiveness (referred to as a trade-off) is extensive and highly population-specific. The analyses, along with other emerging evidence, suggest that there are other types of connections. In this commentary, these issues are discussed from both retrospective and prospective views, including current challenges and future directions.

PMID:41036480 | PMC:PMC12482930 | DOI:10.1002/ggn2.202500018

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Nevin Manimala Statistics

Stretching Boundaries: Nurses’ Perceptions on Job Demands and Resources in Hospital Float Pools

J Nurs Manag. 2025 Sep 5;2025:5468634. doi: 10.1155/jonm/5468634. eCollection 2025.

ABSTRACT

Background: Float pools are increasingly used in healthcare to enhance staffing flexibility and efficiency. However, the impact of floating on nurses remains underexplored. Challenges may include adjusting to different ward routines and limited team integration. Aim: To explore the perceived demands and resources associated with hospital float pool work, comparing experiences of nurses in intraorganizational pools with expectations of those preparing for interorganizational floating. Methods: This qualitative study, guided by the job demands-resources (JD-R) model, involved semistructured interviews with 27 nurses across five Dutch hospitals. Participants included nurses currently working in intraorganizational float pools and those anticipating working in a float pool across organizations. Results: Nurses in intraorganizational float pools generally reported job satisfaction, experiencing minor demands such as limited team acceptance. Learning opportunities and variation in tasks were key resources. Effective coping was supported by openness, confidence, and communication skills. In contrast, nurses not yet deployed but are anticipating interorganizational floating expected greater demands, including adapting to varying protocols and working across multiple hospital cultures. They emphasized the need for extrinsic resources such as rewards and described personal challenges such as time management and a preference for routine. Conclusion: Interorganizational floating is perceived as more demanding than intraorganizational float pool work. However, experienced nurses often reframe demands as manageable. Findings highlight the importance of a person-centered float pool design that aligns with individual characteristics and support needs. Tailoring float pool policies may enhance job satisfaction, reduce burnout, and support retention among floating nurses.

PMID:41036469 | PMC:PMC12483744 | DOI:10.1155/jonm/5468634

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Nevin Manimala Statistics

Aorto-septal Angle as a Predictor of Left Ventricular Outflow Tract Obstruction in Pediatric Patients With Subaortic Stenosis and Subaortic Membrane Development: A Study at Prince Sultan Cardiac Center, Buraydah, Saudi Arabia 2023

J Saudi Heart Assoc. 2025 Aug 26;37(3):13. doi: 10.37616/2212-5043.1445. eCollection 2025.

ABSTRACT

BACKGROUND: The interventricular septum (IVS)/anterior aortic angle is typically measured at 120° in healthy individuals but is more acute in patients with left ventricular outflow tract (LVOT) narrowing, aortic valve anomalies, and discrete subaortic membrane (SAM).

OBJECTIVES: This study aimed to assess this angle in pediatric patients with abnormal aortic valves and/or LVOT obstruction and evaluate its association with SAM development.

METHODOLOGY: A prospective cohort observational study was conducted in the pediatric cardiology department at PSCC-Qassim from September 2022 to June 2023. Echocardiographic assessments were performed on pediatric patients (neonates to 14 years) with bicuspid aortic valve (BAV), with or without SAM. Patients with ventricular septal defect (VSD), atrioventricular septal defect (AVSD), or single ventricle pathology were excluded. The Aortoseptal angle was measured in the long-axis parasternal view.

RESULT: Among 319 cases, 153 served as controls with normal cardiac anatomy. The remaining 194 cases included 104 (53 %) with isolated BAV, 51 (26 %) with isolated SAM, and 11 (6 %) with BAV and SAM. The male-to-female ratio was 2.2:1. SAM was observed in 64 (33 %) cases, and significant aortic stenosis in 13 (6.7 %). Cardiac surgery was performed in SAM resection (4.1 %). The Aortoseptal angle ranged from 110° to 135° across groups, with no statistically significant differences between patients with SAM and controls. However, ROC analysis indicated that an angle <116° predicted SAM presence with 97 % sensitivity and 87 % specificity.

CONCLUSION: While a more acute Aortoseptal angle was common in SAM patients, no statistically significant differences were found. An angle <115° may warrant close monitoring for SAM development.

PMID:41036468 | PMC:PMC12483079 | DOI:10.37616/2212-5043.1445

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Nevin Manimala Statistics

Evaluating the Utility and Impact of Canadian Plastic Surgery Residency Programs’ Instagram Accounts on Resident Recruitment and Engagement

Plast Surg (Oakv). 2025 Sep 29:22925503251379895. doi: 10.1177/22925503251379895. Online ahead of print.

ABSTRACT

Introduction: This study assesses how Canadian Plastic Surgery Residency Instagram accounts are utilized and perceived by residents, fellows, and attending physicians, and evaluates their influence on medical students’ residency program selection. Methods: This 2-part study includes: (1) a descriptive analysis of Instagram activity, content, and engagement, along with a national survey of Canadian plastic surgery residents, fellows, and attendings assessing account utility; and (2) a survey of medical students who attended the University of Toronto Plastic Surgery Residency Information Session, evaluating Instagram’s influence on residency selection. Descriptive statistics were reported. Results: Twelve of 13 Canadian Plastic Surgery Residency Programs had active Instagram accounts. Canadian Plastic Surgery Residency Instagram accounts had an average of 119 posts (SD = 94) over 5 years (SD = 2). Among surveyed residents (N = 27/77, 35%) and fellows/attendings (N = 83/328, 25%), Instagram use was reported by 93% and 81%, respectively. Resident recruitment ranked as the top goal (residents 1.75, fellows/attendings 3.17), followed by achievement highlights. Most residents (80%) and fellows/attendings (53%) felt medical students benefitted most. Preferred content included program culture (85%, 84%), resident profiles (90%, 73%), and research highlights (70%, 70%). Among medical student respondents (N = 25/112, 22%), 95% followed Canadian programs on Instagram, seeking program culture, resident profiles, and educational opportunities (all 89%). Over half (56%) said Instagram influenced their perception of a program, with all reporting a positive impact. Conclusion: Instagram is a valuable platform for Canadian Plastic Surgery Residency Programs to share insights and influence medical student decision-making.

PMID:41036453 | PMC:PMC12479458 | DOI:10.1177/22925503251379895

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Nevin Manimala Statistics

Abusive Bruising and Cutaneous Mimics Module in the Child Abuse Pediatrics Curriculum for Physicians (CAP-CuP)

MedEdPORTAL. 2025 Sep 30;21:11549. doi: 10.15766/mep_2374-8265.11549. eCollection 2025.

ABSTRACT

INTRODUCTION: Despite the extensive amount of literature available on bruising and child abuse, there are few open access teaching materials on this topic.

METHODS: An interactive module on abusive bruising and cutaneous mimics was created as part of a comprehensive child maltreatment curriculum. The module was evaluated in four formats: pilot presentation to a large audience of pediatric practitioners at a CME conference; presentation to an audience of family medicine residents; individual, self-paced completion by a large cohort of medical students; and presentation by a family medicine resident to a group of colleagues, to evaluate the accessibility of presentation by a non-child abuse pediatrician. In all formats, the module took 45-60 minutes to complete. Module effectiveness was evaluated with pre- and postmodule assessments.

RESULTS: The CME conference audience (n = 137) provided favorable feedback about the content; four of 51 anonymous comments focused on areas for growth, which were used to improve the content. Among in-person resident (n = 18) and asynchronous medical student (n = 300) participants, increases in confidence were negligible but knowledge scores notably increased from pre- to postmodule, changing from a median of 25% to 100% and median of 50% to 100%, respectively. In evaluating accessibility, the presenting resident commented on increased engagement, ability to gauge the audience’s understanding, and ease of use of the script and technical guide.

DISCUSSION: This interactive, versatile module on abusive bruising and cutaneous mimics was well-received and effective at increasing short-term knowledge among medical student and physician audiences.

PMID:41036450 | PMC:PMC12479944 | DOI:10.15766/mep_2374-8265.11549

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Nevin Manimala Statistics

Evaluation of reliability, repeatability, and confidence of ChatGPT for screening, monitoring, and treatment of interstitial lung disease in patients with systemic autoimmune rheumatic diseases

Digit Health. 2025 Sep 29;11:20552076251384233. doi: 10.1177/20552076251384233. eCollection 2025 Jan-Dec.

ABSTRACT

BACKGROUND: In recent years, potential applications of ChatGPT in medication-related practices have drawn great attention for its intuitive user interfaces, chatbot, and powerful analytical capabilities. However, whether ChatGPT can be broadly applied in clinical practice remains controversial. Early screening, monitoring, and timely treatment are crucial for improving outcomes of interstitial lung disease (ILD) in systemic autoimmune rheumatic diseases (SARDs) due to its high morbidity and mortality rate. This study aimed to evaluate the reliability, repeatability, and confidence of ChatGPT models (GPT-4, GPT-4o mini, and GPT-4o) in delivering guideline-based recommendations for the screening, monitoring, and treatment of ILD in SARD patients.

METHODS: Questions derived from the ACR/CHEST guideline for ILD patients with SARDs were used to benchmark three versions of ChatGPT (GPT-4, GPT-4o mini, and GPT-4o) across three separate attempts. The responses were recorded, and the reliability, repeatability, and confidence were analyzed with the recommendations from the guideline.

RESULTS: GPT-4 demonstrated significant variability in reliability across the three attempts (P = .007). In contrast, the other versions showed no significant differences. GPT-4 and GPT-4o mini exhibited substantial interrater agreement (Kendall’s W = 0.747 and 0.765, respectively), whereas GPT-4o demonstrated almost perfect interrater agreement (Kendall’s W = 0.816). All three versions showed statistically significant differences in high confidence ratings (confidence score of ≥ 8 on the 1-10 scale) across the three attempts (P < .01). Given the higher consistency of GPT-4o and GPT-4o mini, a further comparison was conducted between them on the third attempt. No significant difference was observed in accuracy percentages across the third attempt between GPT-4o and GPT-4o mini (P = .597). Similarly, interrater agreement across the three attempts was not significantly different for both GPT-4o and GPT-4o mini (P = .152). Furthermore, the overconfidence percentage (confidence score of ≥8 assigned to incorrect answers) was 100% (22 of 22) for GPT-4o and 22.7% (10 of 44) for GPT-4o mini, respectively (P < .01).

CONCLUSIONS: GPT-4o mini and GPT-4o demonstrated stable reliability across all three attempts, whereas GPT-4 did not. The repeatability of GPT-4o tended to perform better than GPT-4o mini, although this difference was not statistically significant. Additionally, GPT-4o exhibited a higher tendency toward overconfidence compared to GPT-4o mini. Overall, the GPT-4o models performed most effectively in managing SARD-ILD but may exhibit overconfidence in certain scenarios.

PMID:41036434 | PMC:PMC12480815 | DOI:10.1177/20552076251384233

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Nevin Manimala Statistics

The effects of mobile health on self-management of patients with diabetes: A systematic review

Digit Health. 2025 Sep 29;11:20552076251382049. doi: 10.1177/20552076251382049. eCollection 2025 Jan-Dec.

ABSTRACT

BACKGROUND: Diabetes is a chronic disease affecting many people globally and is a significant health concern. Health services are focusing on managing the rising incidence of diabetes and its complications. A novel mobile health (mHealth) intervention intends to assist diabetics in managing the levels of their blood sugar and improving self-care. The study aimed to evaluate the effect of short message service (SMS) and mobile app interventions on patients’ capacity to improve hemoglobin A1c (HbA1c) levels.

METHOD: A targeted search was performed in PubMed, MEDLINE, EMBASE, the Cochrane Library, ScienceDirect, and Scopus for randomized controlled trials (RCTs) published from 2014 to 2024 that evaluated the effects of mobile apps and SMS-based self-care interventions on individuals with poorly managed diabetes.

RESULT: A rigorous review identified nineteen studies for analysis. Fifteen of these studies showed a statistically significant reduction in HbA1c levels in the intervention group, compared to baseline measurements. In contrast, control groups did not exhibit the same level of reduction, resulting in a significant difference between intervention and control groups over time. This suggests that the interventions were effective in lowering HbA1c levels.

CONCLUSION: Improving glycemic levels in inadequately managed diabetes is crucial. Better blood sugar management enhances patient well-being and lowers healthcare costs, making targeted interventions essential for improved outcomes and healthcare efficiency. When developing support services and educational programs for diabetes self-management, considering value-based care and public health models, it is important for organizations, diabetes educators, legislators, and funders to carefully consider these solutions.

PMID:41036432 | PMC:PMC12480833 | DOI:10.1177/20552076251382049

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Nevin Manimala Statistics

Vital Signs-Only Machine Learning Model for Acute Inpatient Deterioration: A Retrospective Multicenter Study

Mayo Clin Proc Innov Qual Outcomes. 2025 Sep 19;9(5):100663. doi: 10.1016/j.mayocpiqo.2025.100663. eCollection 2025 Oct.

ABSTRACT

OBJECTIVE: To develop predictive models that are compatible with vital signs monitoring devices to identify patients at risk of clinical deterioration, defined as requiring a rapid response team intervention or an unplanned intensive care unit transfer.

PATIENTS AND METHODS: Targeted vital signs from 227,858 inpatients admitted to general care or telemetry beds at a multihospital health care institution between January 1, 2019, and July 31, 2023, were selected. After filtering for high-quality data, 30,118 patients were used to train a Light Gradient Boosting Machine, and 30,095 were reserved for blind validation. We developed a machine learning model designed to minimize false positives while maintaining clinical relevance in identifying low-prevalence clinical deterioration events.

RESULTS: At a sensitivity of 73.4% (95% CI, 72.2%-74.4%), the model achieved a positive predictive value (PPV) of 30.4% (95% CI, 29.6%-31.3%), with a C-statistic of 0.874 (95% CI, 0.867-0.881), alert rate of 0.170 (95% CI, 0.167-0.173) per patient per day, and normalized alert rate of 2.41 (95% CI, 2.31-2.51). Stratified analysis by hospital revealed that PPV was highest at the Rochester site, reaching 54.9% (95% CI, 52.9%-57.0%) and outperforming the EPIC deterioration index by 46% or a factor of 6 (7.57%).

CONCLUSION: Achieving a high PPV is crucial because it ensures a larger proportion of alerts are true positives, reducing the burden of false alarms. The considerable improvement in results comes from the novel 2-window feature extraction method. This technique enables the model to capture both long-term trends and recent changes in patient status, enhancing predictive performance.

PMID:41036430 | PMC:PMC12482306 | DOI:10.1016/j.mayocpiqo.2025.100663