Prcis: Reading results in a rise in intraocular pressure (IOP) which is greater while using smartphones compared with printed text among healthy and individuals with medically controlled primary open angle glaucoma (POAG).

Purpose: To compare the effect of reading for 30 minutes using smartphone and printed text on IOP.

Patients And Methods: Sixty healthy volunteers and 22 patients with medically controlled POAG were asked to perform reading tasks using printed text followed by digital (smartphone) text under standardized conditions. IOP assessment was done using a rebound tonometer at baseline and subsequently at 10, 20, and 30 minutes of reading and 10 and 20 minutes post completion of reading tasks. IOP variations from baseline were measured and compared. Paired and independent ' T ' test analysis was performed to study IOP variations, and a P -value <0.05 was considered statistically significant.

Results: The mean baseline IOP among volunteers and patients withPOAG was 14.58 (±2.91) and 15.02 (±2.18) mmHg, respectively. There was a rise in IOP in all participants with reading using either of the modalities, which normalized after 20 minutes of cessation. There was a statistically significant difference in rise in IOP from baseline between the 2 modalities (printed text reading and smartphone reading) at 20 minutes {+0.78 & +2.01 ( P =0.002)} and 30 minutes {+0.64 & +1.72 ( P =0.004)} among healthy volunteers and at 20 minutes {+0.78 & +2.01 ( P =0.002)} among POAG patients.

Conclusion: Reading is associated with the rise in IOP in both healthy volunteers and POAG individuals. The IOP rise is more marked with smartphone compared with printed text reading.

Download full-text PDF

Source
http://dx.doi.org/10.1097/IJG.0000000000002314DOI Listing

Publication Analysis

Top Keywords

printed text
16
intraocular pressure
8
text healthy
8
healthy individuals
8
medically controlled
8
reading minutes
8
reading tasks
8
iop variations
8
reading
6
text
6

Similar Publications

This study describes procedures for embedding digital information into additively manufactured components as well as procedures for readout and tensile testing. Embedded digital codes were printed inside ASTM E8/E8M dumbbells using Direct Metal Laser Melting (DMLS) with an EOS M290 printer. The codes were configured as either ellipsoids or prolate spheroids in patterns given by the Cantor dust fractal.

View Article and Find Full Text PDF

Objective: The objective of this scoping review will be to describe existing guidance documents or studies reporting on the conduct of meta-analyses in updated systematic reviews (USRs) or living systematic reviews (LSRs).

Introduction: The rapid increase in the medical literature poses a substantial challenge in keeping systematic reviews up to date. In LSRs, a review is updated with a pre-specified frequency or when some other signalling criterion is triggered.

View Article and Find Full Text PDF

Optical character recognition (OCR) is vital in digitizing printed data into a digital format, which can be conveniently used for various purposes. A significant amount of work has been done in OCR for well-resourced languages like English. However, languages like Urdu, spoken by a large community, face limitations in OCR due to a lack of resources and the complexity and diversity of handwritten scripts.

View Article and Find Full Text PDF

3D-printed devices for multiplexed semi-quantitative competitive lateral flow immunoassays.

Anal Methods

January 2025

Department of Applied Chemistry, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.

Lateral flow immunoassays (LFIAs) are widely used for the simple and rapid detection of various targets at the point of need. However, LFIAs enabling the simultaneous detection of multiple analytes and the possibility for naked-eye semi-quantitative analysis are facing various challenges, including the requirement of large sample volumes, low efficiency, and accuracy. This is particularly the case for the competitive immunoassay format targeting the detection of low molecular weight compounds, such as, for example, drugs.

View Article and Find Full Text PDF

Improved printed circuit board defect detection scheme.

Sci Rep

January 2025

School of Computer Engineering , Jiangsu Second Normal University, Nanjing, Jiangsu, 211200, China.

In this paper, an improved printed circuit board(PCB)defect detection scheme named PD-YOLOv8 is proposed, which is specialized in the common and challenging problem of small target recognition in PCB inspection. This improved scheme mainly relies on the basic framework of YOLOv8n, and effectively enhances the detection performance of PCB small defects through multiple innovative designs. First, we incorporate the Efficient Channel Attention Network (ECANet) attention mechanism into the backbone network of YOLOv8, which improves the performance of small-target detection by adaptively enhancing the expressiveness of key features, so that the network possesses higher sensitivity and focus on tiny details in PCB images.

View Article and Find Full Text PDF

Want 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!