Purpose: To evaluate ocular surface disorders in students whose daily screen time increased due to distance learning during the COVID-19 pandemic.
Methods: Eighty-eight eyes of 44 cases were included in this cross-sectional study. The distance learning students with complaints of redness, stinging, and increased blinking were evaluated. Biomicroscopic examination findings, spherical equivalent, keratometry values, and average daily average screen time were recorded. Ocular Surface Disease Index (OSDI) survey and non-contact tear film breakup time (BUT) assessment (Topcon CA-800) were performed.
Results: Forty-four cases between 15 and 25 years old were evaluated; 25 were girls (56.8%), 19 were boys (43.2%), and the mean age was 19.2 ± 3.9 years (15-25). The mean daily screen time was 4.9 ± 0.9 h. The mean non-contact BUT was 3.18 ± 2.0 s (1.24-8.80 s), and the spherical equivalent was -1.39 ± 1.79. Punctate epitheliopathy was present in 33 eyes (37.5%) on biomicroscopic examination. The mean OSDI score was 37.12 ± 20.30 (10-75) points. A significant positive correlation was present between daily average screen time, punctate epitheliopathy (r = 0,341; p = 0,001), and OSDI score (r = 0,510; p < 0,001). There was also a significant positive correlation between the OSDI score and punctate epitheliopathy (r = 0.754; p < 0.001). There was no significant correlation between the non-contact BUT and punctate epitheliopathy, OSDI score, or daily screen time (p > 0.05).
Conclusion: Ocular surface disorders in students can be associated with increasing daily screen time due to distance learning.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978497 | PMC |
| http://dx.doi.org/10.1007/s10792-022-02290-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset.
Med Biol Eng Comput
January 2025
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, (C.G.), India.
This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, including data from the UK Biobank, MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, and clinical datasets of congenital heart disease. Preprocessing steps involved segmentation, intensity normalization, and mesh generation, while the reconstruction was performed using a blend of statistical shape modeling (SSM), graph convolutional networks (GCNs), and progressive GANs.
View Article and Find Full Text PDFAssessment of choroidal vessels in healthy eyes using 3-dimensional vascular maps and a semi-automated deep learning approach.
Sci Rep
January 2025
Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
To assess the choroidal vessels in healthy eyes using a novel three-dimensional (3D) deep learning approach. In this cross-sectional retrospective study, swept-source OCT 6 × 6 mm scans on Plex Elite 9000 device were obtained. Automated segmentation of the choroidal layer was achieved using a deep-learning ResUNet model along with a volumetric smoothing approach.
View Article and Find Full Text PDFSwitchable long-distance propagation of chiral magnonic edge states.
Nat Mater
January 2025
School of Physics and Astronomy, Beijing Normal University, Beijing, China.
The coherent spin waves, magnons, can propagate without accompanying charge transports and Joule heat dissipation. Room-temperature and long-distance spin waves propagating within nanoscale spin channels are considered promising for integrated magnonic applications, but experimentally challenging. Here we report that long-distance propagation of chiral magnonic edge states can be achieved at room temperature in manganite thin films with long, antiferromagnetically coupled spin spirals (millimetre length) and low magnetic Gilbert damping (~3.
View Article and Find Full Text PDFStudy on the foam production characteristics of air self-suction foam generator by jet.
Sci Rep
January 2025
Key Laboratory of Gas and Fire Control for Mines, Ministry of Education, Xuzhou, 221116, China.
Confined space fires could easily cause serious casualties and property damage, and foam is an effective means of preventing confined space fires. The existing foam generator does not have both momentum and foam expansion rate (FER) and is poorly suited to confined spaces. In order to develop a foam generator suitable for confined space fire protection, an in-depth analysis of the physical foaming characteristics of self-suction foam is required, and the structure of the foam generator is optimized accordingly.
View Article and Find Full Text PDFIncreased Prevalence of Skeletal Anomalies on Ultrasound Evaluation of Buprenorphine-Exposed Human Fetuses.
South Med J
January 2025
Department of Obstetrics and Gynecology, East Tennessee State University, Johnson City.
Objectives: In this study, buprenorphine was the primary source of maternal opioid exposure at the time of initial prenatal evaluation. Current recommendations advise that level II ultrasounds be performed in patients with substance use disorders. For some patients, distance, transportation, and costs associated with obtaining ultrasounds from a specialist pose significant barriers.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!