Computer vision syndrome and its associated ergonomic factors among bank workers

Boadi-Kusi, Samuel Bert; Adueming, Peter Osei-Wusu; Hammond, Francisca; Antiri, Ebenezer Oduro

doi:10.1080/10803548.2021.1897260

Cited by 24 publications

(27 citation statements)

References 27 publications

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“…Nonetheless, there are barely any studies exploring the optimal environmental conditions and efficacy of visual hygiene measures in ameliorating DES onset and prevalence [ 90 , 91 ]. Most of these guidelines are primarily expertise and consensus-based and need to be backed up by evidence.…”

Section: Research and Knowledge Gapsmentioning

confidence: 99%

Digital Eye Strain- A Comprehensive Review

et al. 2022

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Section: Research and Knowledge Gapsmentioning

confidence: 99%

Digital Eye Strain- A Comprehensive Review

et al. 2022

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“…Several studies have reviewed the extent of CVS in the adult population and professional groups at high risk. [ 8 9 10 11 12 ] However, few studies cover the adolescent population. The COVID-19 pandemic resulted in lockdown, and when educational institutions were closed and outdoor activities were minimized, exposure to digital devices increased for education, communication, and entertainment purposes.…”

Section: Introductionmentioning

confidence: 99%

Magnitude and determinants of computer vision syndrome among college students at a Saudi University

AlDarrab

Khojah

Al-Ghazwi

et al. 2021

Middle East Afr J Ophthalmol

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PURPOSE: To review students’ perceived symptom-based computer vision syndrome (CVS) and its determinants and to suggest preventive measures. METHODS: This cross-sectional survey was conducted in 2021 at a university in Central Saudi Arabia. The presence and severity of symptoms related to CVS were investigated. The total CVS symptom score was the outcome variable. The CVS score was correlated to participants’ demographics, visual habits when using digital devices, and knowledge about CVS. Due to skewed distribution, a nonparametric method was used for analysis. RESULTS: Overall, 521 students were surveyed. The prevalence of CVS based on at least one symptom was 96% (95% confidence interval 94.3–97.7). The median score was 8.0 (interquartile range 4.0–12.0). Of the 24 possible CVS scores, 42 students (8%) had scores of 18 or more (severe CVS). Being female (Mann–Whitney [MW] P < 0.001), being older (Spearman P < 0.001), refractive error (MW P < 0.001), the presence of dry eye (MW P < 0.001), using devices other than a desktop computer (KruskalWallis) P = 0.03), and more than 6 h constantly working with a device (MW P = 0.001) were correlated with a higher CVS score. Older age, female, refractive error, and using digital devices for more than 6 h were the independent and significant predictors of CVS in college students. CONCLUSION: Most of the students suffered from mild-to-moderate CVS symptoms. Health promotion for prevention and periodic ophthalmic consultations are recommended. Identified predictors should be the focus when implementing strategies to combat CVS in the adolescent Saudi population.

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“…En ese mismo orden de ideas, Boadi et al, (2021) realizaron un estudio en trabajadores bancarios de Ghana con el propósito de describir la prevalencia de factores ergonómicos vinculados con el SVI y las practicas del empleo de computadoras en los colaboradores bancarios. En el estudio participaron 139 colaboradores bancarios a los que se les practicó exámenes oculares y mediciones sobre prácticas ergonómicas en sus estaciones de trabajo.…”

Section: Resultsunclassified

COVID-19 inductor del síndrome visual informático y sus afectaciones a las personas

Morán

Corzo²,

Rios³

et al. 2021

BMSA

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El objetivo de este artículo es analizar la literatura existente sobre la el SVI y sus afectaciones a las personas producto por alta exposición a equipos electrónicos generados por la pandemia del COVID-19 El tipo de investigación es revisión de literatura, de diseño bibliográfico o documental; el método de investigación empleado fue el de revisión de literatura. La población estuvo constituida por 35 artículos y la muestra de 19 artículos en diversos idiomas, seleccionados de manera intencional de acuerdo a criterios de inclusión y exclusión previamente establecidos; las técnicas e instrumentos empleados para el recojo de información fueron el análisis documental, y el fichaje y la computadora respectivamente. Entre los principales resultados se tiene que el SVI tiene gran prevalencia en personas que tienen gran periodo de exposición a pantallas de dispositivos electrónicos, asimismo, vinculados a fallas en las condiciones ergonómicas en sus estaciones de trabajo o estudio. Se concluye, el promedio de prevalencia del SVI en los artículos revisados es de 73.2%, siendo el máximo 98.7% y el mínimo 50%, siendo más frecuente en mujeres; respecto a los síntomas más frecuente que se presentan se tienen: dolor en ojos, cansancio visual o visión borrosa, picazón, sequedad en los ojos, sensación de empeoramiento de la vista, lagrimeo párpados pesados.

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Computer vision syndrome and its associated ergonomic factors among bank workers

Cited by 24 publications

References 27 publications

Digital Eye Strain- A Comprehensive Review

Digital Eye Strain- A Comprehensive Review

Magnitude and determinants of computer vision syndrome among college students at a Saudi University

COVID-19 inductor del síndrome visual informático y sus afectaciones a las personas

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