The International Paralympic Committee requires their member sports to develop a classification system that is sport-specific, meaning that the specific 'class' in which an athlete competes should be suitable for the degree to which the athlete's impairment affects performance in that particular sport. However, swimmers with vision impairment (VI) currently compete in classes that were developed on the basis of legal definitions of blindness, failing to consider how vision impacts swimming performance. The aim of this study was to establish expert guidance on the specific requirements for a sport-specific system of classification for VI swimming. A three-round Delphi review was conducted with a panel of 16 people with expertise in VI swimming either as an athlete, coach, administrator, or scientist. There was clear consensus (86%) among the panel that the current classification system used for VI swimming fails to fulfill the aim of minimizing the impact of VI on the outcome of competition. Particularly, the panel agreed that there are a range of aspects of visual function (e.g., depth perception and contrast sensitivity) that are important for optimal swimming performance, yet are not assessed using the current classification system. The panel also identified nine performance components of a swimming race that are mostly likely to be affected by VI. Interestingly, these were spread across all four major segments (start, clean swim, turn, and finish), and weren't necessarily those performance determinants generally used by performance analysts and coaches. There was also strong agreement that the age at which VI is acquired will substantially impact the ability of a swimmer to reach their full potential in the pool. The main implication is that changes are required to the way that swimmers with VI are classified for para-sport competition. Clear guidance has been provided for how to further the development of an evidence-based classification system.
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http://dx.doi.org/10.3389/fpsyg.2018.01756 | DOI Listing |
Cancer Med
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Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFMol Biol Evol
January 2025
Center for Interdisciplinary Research in Biology (CIRB), College de France, CNRS, INSERM, Université PSL, Paris, France.
The pangenome of a species is the set of all genes carried by at least one member of the species. In bacteria, pangenomes can be much larger than the set of genes carried by a single organism. Many questions remain unanswered regarding the evolutionary forces shaping the patterns of presence/absence of genes in pangenomes of a given species.
View Article and Find Full Text PDFMol Nutr Food Res
January 2025
Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China.
We aimed to explore the association between plant-based dietary (PBD) patterns and obesity trajectories in middle-aged and elderly, as well as obesity trajectories linked to cardiovascular disease (CVD) risk. A total of 7108 middle-aged and elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected at enrolment was used to calculate the healthful plant-based diet index (hPDI).
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Graduate Program in Psychology, Federal University of Sergipe, São Cristóvão, Brazil.
Purpose: This systematic review examined studies that addressed physiotherapy intervention approaches to the Quality of Life (QoL) of people with Cerebral Palsy (CP).
Materials And Methods: We conducted a comprehensive search strategy in five databases (PEDro, PubMed, Web of Science, Scopus, and Google Scholar) until 12 February 2024. We assessed the included studies' methodological quality and statistical description using the PEDro scale.
Ann Surg
January 2025
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Objective: To assess performance of an algorithm for automated grading of surgery-related adverse events (AEs) according to Clavien-Dindo (C-D) classification.
Summary Background Data: Surgery-related AEs are common, lead to increased morbidity for patients, and raise healthcare costs. Resource-intensive manual chart review is still standard and to our knowledge algorithms using electronic health record (EHR) data to grade AEs according to C-D classification have not been explored.
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