Prevalence of computer vision syndrome: A systematic review and meta-analysis

Purpose This review aimed to estimate the prevalence of computer vision syndrome (CVS) in the general population and subgroups. Methods A search was conducted in the following the databases: PubMed, SCOPUS, EMBASE, and Web of Science until February 13, 2023. We included studies that assessed the pre...

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Autores principales: Ccami-Bernal, Fabricio, Soriano Moreno, David, Romero-Robles, Milton A., Barriga-Chambi, Fernanda, Tuco, Kimberly G., Castro Diaz, Sharong Dayan, Nuñez-Lupaca, Janeth N., Pacheco‑Mendoza, Josmel, Galvez-Olortegui, Tomas Vladimir, Benítes-Zapata, Vicente A.
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Publicado: Spanish Council of Optometry 2024
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author Ccami-Bernal, Fabricio
Soriano Moreno, David
Romero-Robles, Milton A.
Barriga-Chambi, Fernanda
Tuco, Kimberly G.
Castro Diaz, Sharong Dayan
Nuñez-Lupaca, Janeth N.
Pacheco‑Mendoza, Josmel
Galvez-Olortegui, Tomas Vladimir
Benítes-Zapata, Vicente A.
author_browse Barriga-Chambi, Fernanda
Benítes-Zapata, Vicente A.
Castro Diaz, Sharong Dayan
Ccami-Bernal, Fabricio
Galvez-Olortegui, Tomas Vladimir
Nuñez-Lupaca, Janeth N.
Pacheco‑Mendoza, Josmel
Romero-Robles, Milton A.
Soriano Moreno, David
Tuco, Kimberly G.
author_facet Ccami-Bernal, Fabricio
Soriano Moreno, David
Romero-Robles, Milton A.
Barriga-Chambi, Fernanda
Tuco, Kimberly G.
Castro Diaz, Sharong Dayan
Nuñez-Lupaca, Janeth N.
Pacheco‑Mendoza, Josmel
Galvez-Olortegui, Tomas Vladimir
Benítes-Zapata, Vicente A.
author_sort Ccami-Bernal, Fabricio
collection Producción científica
description Purpose This review aimed to estimate the prevalence of computer vision syndrome (CVS) in the general population and subgroups. Methods A search was conducted in the following the databases: PubMed, SCOPUS, EMBASE, and Web of Science until February 13, 2023. We included studies that assessed the prevalence of CVS in any population. The Joanna Briggs Institute's critical appraisal tool was used to evaluate the methodological quality. A meta-analysis of the prevalence of CVS was done using a random-effects model, assessing the sources of heterogeneity using subgroup and meta-regression analyses. Results A total of 103 cross-sectional studies with 66 577 participants were included. The prevalence of CVS was 69.0% (95% CI: 62.3 to 75.3; I2: 99.7%), ranging from 12.1 to 97.3% across studies. Point prevalence was higher in women than in men (71.4 vs. 61.8%), university students (76.1%), Africa (71.2%), Asia (69.9%), contact lens wearers (73.1% vs. 63.8%) in studies conducted before the COVID-19 pandemic (72.8%), and in those that did not use the CVS-Q questionnaire (75.4%). In meta-regression, using the CVS-Q scale was associated with a lower prevalence of CVS. Conclusion Seven out of ten people suffer from CVS. Preventive strategies and interventions are needed to decrease the prevalence of this condition which can affect productivity and quality of life. Future studies should standardize a definition of CVS.
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spelling oai:cris.upeu.edu.pe:20.500.15037/29662026-10-30T17:10:35ZPrevalence of computer vision syndrome: A systematic review and meta-analysisCcami-Bernal, FabricioSoriano Moreno, DavidRomero-Robles, Milton A.Barriga-Chambi, FernandaTuco, Kimberly G.Castro Diaz, Sharong DayanNuñez-Lupaca, Janeth N.Pacheco‑Mendoza, JosmelGalvez-Olortegui, Tomas VladimirBenítes-Zapata, Vicente A.Occupational healthVision DisordersElectronic DevicesComputer Vision SyndromeWorkspace ErgonomicsVisual ErgonomicPurpose This review aimed to estimate the prevalence of computer vision syndrome (CVS) in the general population and subgroups. Methods A search was conducted in the following the databases: PubMed, SCOPUS, EMBASE, and Web of Science until February 13, 2023. We included studies that assessed the prevalence of CVS in any population. The Joanna Briggs Institute's critical appraisal tool was used to evaluate the methodological quality. A meta-analysis of the prevalence of CVS was done using a random-effects model, assessing the sources of heterogeneity using subgroup and meta-regression analyses. Results A total of 103 cross-sectional studies with 66 577 participants were included. The prevalence of CVS was 69.0% (95% CI: 62.3 to 75.3; I2: 99.7%), ranging from 12.1 to 97.3% across studies. Point prevalence was higher in women than in men (71.4 vs. 61.8%), university students (76.1%), Africa (71.2%), Asia (69.9%), contact lens wearers (73.1% vs. 63.8%) in studies conducted before the COVID-19 pandemic (72.8%), and in those that did not use the CVS-Q questionnaire (75.4%). In meta-regression, using the CVS-Q scale was associated with a lower prevalence of CVS. Conclusion Seven out of ten people suffer from CVS. Preventive strategies and interventions are needed to decrease the prevalence of this condition which can affect productivity and quality of life. Future studies should standardize a definition of CVS.Review10.1016/j.optom.2023.1004822-s2.0-85174459677https://hdl.handle.net/20.500.15037/2966enJournal of OptometryJournal of Optometry1888-4296Spanish Council of Optometry20242026-06-27T02:35:02Z2026-06-27T02:35:02Z
spellingShingle Occupational health
Vision Disorders
Electronic Devices
Computer Vision Syndrome
Workspace Ergonomics
Visual Ergonomic
Ccami-Bernal, Fabricio
Soriano Moreno, David
Romero-Robles, Milton A.
Barriga-Chambi, Fernanda
Tuco, Kimberly G.
Castro Diaz, Sharong Dayan
Nuñez-Lupaca, Janeth N.
Pacheco‑Mendoza, Josmel
Galvez-Olortegui, Tomas Vladimir
Benítes-Zapata, Vicente A.
Prevalence of computer vision syndrome: A systematic review and meta-analysis
title Prevalence of computer vision syndrome: A systematic review and meta-analysis
title_full Prevalence of computer vision syndrome: A systematic review and meta-analysis
title_fullStr Prevalence of computer vision syndrome: A systematic review and meta-analysis
title_full_unstemmed Prevalence of computer vision syndrome: A systematic review and meta-analysis
title_short Prevalence of computer vision syndrome: A systematic review and meta-analysis
title_sort prevalence of computer vision syndrome a systematic review and meta analysis
topic Occupational health
Vision Disorders
Electronic Devices
Computer Vision Syndrome
Workspace Ergonomics
Visual Ergonomic
topic_facet Occupational health
Vision Disorders
Electronic Devices
Computer Vision Syndrome
Workspace Ergonomics
Visual Ergonomic
url https://hdl.handle.net/20.500.15037/2966
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