Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Prevalence of Computer Vision Syndrome and Its Relationship with Ergonomic and Individual Factors in Presbyopic VDT Workers Using Progressive Addition Lenses

Bibliographic Data

ID15467498
AuthorsMar Sánchez‐Brau (0000-0002-8146-8259, University of Alicante), Mar Sánchez-Brau (Doctoral Programme in Health Sciences, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain), Begoña Doménech (0000-0002-9771-7336, University of Alicante, corresponding author), Francisco Brocal (0000-0002-1802-8760, University of Alicante), José A Quesada (0000-0002-6947-7531, Universitat de Miguel Hernández d'Elx), Jose Antonio Quesada-Rico (Department of Clinical Medicine, University Miguel Hernández, 03550 San Juan de Alicante, Alicante, Spain), Mar Seguí‐Crespo (0000-0003-0281-7949, University of Alicante), Mar Seguí-Crespo (University of Alicante)
Year2020
Volume17
Issue3
Pages1003-1003
Publication date2020-02-05
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17031003
PMID32033372
OpenAlexW3005524001
LanguageEN
Citations received3
References cited49

This cross-sectional study estimated computer vision syndrome (CVS) prevalence and analysed its relationship with video display terminal (VDT) exposure, as well as sociodemographic, refractive, environmental, and ergonomic characteristics in 109 presbyopic VDT workers wearing progressive addition lenses (PALs). Usual spectacles were measured with a lens analyser, and subjective refraction was performed by an optometrist. CVS was measured with the CVS-Q©. VDT exposure was collected. Ergonomic evaluations were conducted in a normal working posture looking at the screen. Air temperature and relative humidity were measured (thermohygrometer), and illumination was measured (luxmeter). Descriptive analysis and differences in CVS prevalence, as a function of the explanatory variables, were performed (chi-square test). Multivariate logistic regression was used to identify factors associated with CVS (OR and 95% CI). The mean age was 54.0 ± 4.8 years, and 43.1% were women. The mean hours of VDT use at work was 6.5 ± 1.3 hours/day. The prevalence of CVS was 74.3%. CVS was significantly associated with women (OR 3.40; 95% CI, 1.12-10.33), non-neutral neck posture (OR 3.27; 95% CI, 1.03-10.41) and altered workplace lighting (OR 3.64; 95% CI, 1.22-10.81). Providing training and information to workers regarding the importance of adequate lighting and ergonomic postures during VDT use is advised to decrease CVS and increase workplace quality of life

Medical emergency · Office workers · Operations management · Poison control · Presbyopia · Computer Science · Engineering · Ergonomics and Musculoskeletal Disorders · Human Factors and Ergonomics · Medicine · Psychology · Safety Warnings and Signage · Tactile and Sensory Interactions · Optometry

  • Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia

    Open Access•Kassahun Ayele Gasheya, Azanaw Asega Belay et al.•Frontiers in Public Health•2024

  • CVS-Q teen©

    Open Access•Mar Seguí‐Crespo, Mar Seguí-Crespo et al.•Gaceta Sanitaria•2023

  • Risks of Digital Screen Time and Recommendations for Mitigating Adverse Outcomes in Children and Adolescents

    Open Access•Shahina Pardhan, John Parkin et al.•Journal of School Health•2022

  • Video Display Operator Complaints

    Open Access•Francesca Larese Filon, Anna Drusian et al.•International Journal of…•2019

  • New Patterns of Information and Communication Technologies Usage at Work and Their Relationships with Visual Discomfort and Musculoskeletal Diseases

    Open Access•María Soria-Oliver, Jorge S López et al.•International Journal of…•2019

Citations per year0.75
Citation span2022 - 2024 (3)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae