Background: In recent decades, several studies have found a strong association between prolonged use of video display terminals and ophthalmological symptoms encompassed in the so-called computer visual syndrome (CVS). Few studies have addressed this syndrome in graduate students.
Methods: Observational, cross-sectional descriptive study. A total of 106 postgraduate students were surveyed without ophthalmological pathologies. The diagnosis of CVS was made by means of the questionnaire of Seguí et al. validated in Spanish, which evaluates the frequency and intensity of 16 ocular symptoms.
Results: The prevalence of CVS among graduate university students was 62.3% (95% CI: 52.3-71.5). It was found that the highest proportion of students with the syndrome was in the group of older than 40 years old (88.2%) and in the group 21-30 years old (70.0%), showing statistically significant differences (p=0.004). According to the device and its time of use, students who used the mobile phone for 7 to 10hours a day showed a higher prevalence of CVS compared to those who used the device for less time (p=0.030). The business School had the highest prevalence (75.0%).
Conclusion: Three out of every five graduate students presented CVS with this prevalence being like reported in other populations. There is a need to investigate possible interventions that can help reduce this entity.
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http://dx.doi.org/10.1016/j.oftal.2020.12.003 | DOI Listing |
J Pediatr Orthop
January 2025
Division of Sports Medicine, Boston Children's Hospital, Boston, MA.
Background: Anteroposterior (AP) and lateral radiographs often underestimate displacement in medial epicondyle fractures, further complicating the already debated operative indications. The radiocapitellar (RC) view is an alternative radiograph that allows for the separation of the humeroradial and humeroulnar joints. This study investigates the utility of the RC view in measuring displacement and identifying the need for operative intervention in pediatric medial epicondyle fractures.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
Department of Orthopaedics, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, No. 9, Jiaowei Road, Liuhongqiao, Wenzhou, 325000, People's Republic of China.
Objectives: To systematically evaluate the efficacy of lateral unicompartmental knee arthroplasty (LUKA) and total knee arthroplasty (TKA) in the treatment of isolated lateral compartment knee osteoarthritis (LCKO), and to provide guidance and a basis for selecting surgery in clinical practice.
Methods: Inclusion and exclusion criteria for literature were established, appropriate effect indicators were selected, and PubMed, Web of Science, Embase, Medline, Cochrane Library, and CNKI databases were searched using a computer. The Newcastle Ottawa scale (NOS) was used to evaluate the quality of the literature.
Eur J Hum Genet
January 2025
Institute for Genomic Statistics and Bioinformatics, Bonn, NRW, Germany.
The facial gestalt (overall facial morphology) is a characteristic clinical feature in many genetic disorders that is often essential for suspecting and establishing a specific diagnosis. Therefore, publishing images of individuals affected by pathogenic variants in disease-associated genes has been an important part of scientific communication. Furthermore, medical imaging data is also crucial for teaching and training deep-learning models such as GestaltMatcher.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
The alteration of neurovascular coupling (NVC), where acute localized blood flow increases following neural activity, plays a key role in several neurovascular processes including aging and neurodegeneration. While not equivalent to NVC, the coupling between simultaneously measured cerebral blood flow (CBF) with arterial spin labeling (ASL) and blood oxygenation dependent (BOLD) signals, can also be affected. Moreover, the acquisition of BOLD data allows the assessment of resting state (RS) fMRI metrics.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, Universitat Politècnica de València, Valencia, Spain; valgrAI: Valencian Graduate School and Research Network of Artificial Intelligence, Valencia, Spain.
Digital pathology is now a standard component of the pathology workflow, offering numerous benefits such as high-detail whole slide images and the capability for immediate case sharing between hospitals. Recent advances in deep learning-based methods for image analysis make them a potential aid in digital pathology. However, A significant challenge in developing computer-aided diagnostic systems for pathology is the lack of intuitive, open-source web applications for data annotation.
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