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Digital eye strain: prevalence, measurement and amelioration

Digital device usage has increased substantially in recent years across all age groups, so that extensive daily use for both social and professional purposes is now normal. Digital eye strain (DES), also known as computer vision syndrome, encompasses a range of ocular and visual symptoms, and estima...

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Autores principales: Sheppard, Amy L, Wolffsohn, James S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020759/
https://www.ncbi.nlm.nih.gov/pubmed/29963645
http://dx.doi.org/10.1136/bmjophth-2018-000146
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author Sheppard, Amy L
Wolffsohn, James S
author_facet Sheppard, Amy L
Wolffsohn, James S
author_sort Sheppard, Amy L
collection PubMed
description Digital device usage has increased substantially in recent years across all age groups, so that extensive daily use for both social and professional purposes is now normal. Digital eye strain (DES), also known as computer vision syndrome, encompasses a range of ocular and visual symptoms, and estimates suggest its prevalence may be 50% or more among computer users. Symptoms fall into two main categories: those linked to accommodative or binocular vision stress, and external symptoms linked to dry eye. Although symptoms are typically transient, they may be frequent and persistent, and have an economic impact when vocational computer users are affected. DES may be identified and measured using one of several available questionnaires, or objective evaluations of parameters such as critical flicker–fusion frequency, blink rate and completeness, accommodative function and pupil characteristics may be used to provide indices of visual fatigue. Correlations between objective and subjective measures are not always apparent. A range of management approaches exist for DES including correction of refractive error and/or presbyopia, management of dry eye, incorporating regular screen breaks and consideration of vergence and accommodative problems. Recently, several authors have explored the putative role of blue light-filtering spectacle lenses on treating DES, with mixed results. Given the high prevalence of DES and near-universal use of digital devices, it is essential that eye care practitioners are able to provide advice and management options based on quality research evidence.
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spelling pubmed-60207592018-06-29 Digital eye strain: prevalence, measurement and amelioration Sheppard, Amy L Wolffsohn, James S BMJ Open Ophthalmol Review Digital device usage has increased substantially in recent years across all age groups, so that extensive daily use for both social and professional purposes is now normal. Digital eye strain (DES), also known as computer vision syndrome, encompasses a range of ocular and visual symptoms, and estimates suggest its prevalence may be 50% or more among computer users. Symptoms fall into two main categories: those linked to accommodative or binocular vision stress, and external symptoms linked to dry eye. Although symptoms are typically transient, they may be frequent and persistent, and have an economic impact when vocational computer users are affected. DES may be identified and measured using one of several available questionnaires, or objective evaluations of parameters such as critical flicker–fusion frequency, blink rate and completeness, accommodative function and pupil characteristics may be used to provide indices of visual fatigue. Correlations between objective and subjective measures are not always apparent. A range of management approaches exist for DES including correction of refractive error and/or presbyopia, management of dry eye, incorporating regular screen breaks and consideration of vergence and accommodative problems. Recently, several authors have explored the putative role of blue light-filtering spectacle lenses on treating DES, with mixed results. Given the high prevalence of DES and near-universal use of digital devices, it is essential that eye care practitioners are able to provide advice and management options based on quality research evidence. BMJ Publishing Group 2018-04-16 /pmc/articles/PMC6020759/ /pubmed/29963645 http://dx.doi.org/10.1136/bmjophth-2018-000146 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Review
Sheppard, Amy L
Wolffsohn, James S
Digital eye strain: prevalence, measurement and amelioration
title Digital eye strain: prevalence, measurement and amelioration
title_full Digital eye strain: prevalence, measurement and amelioration
title_fullStr Digital eye strain: prevalence, measurement and amelioration
title_full_unstemmed Digital eye strain: prevalence, measurement and amelioration
title_short Digital eye strain: prevalence, measurement and amelioration
title_sort digital eye strain: prevalence, measurement and amelioration
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020759/
https://www.ncbi.nlm.nih.gov/pubmed/29963645
http://dx.doi.org/10.1136/bmjophth-2018-000146
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