Computer vision syndrome, visual ergonomics and amelioration among staff members in a Saudi medical college

Zalat, Marwa Mohamed; Amer, Soliman; Wassif, Ghada; Tarhouny, Shereen A. El; Mansour, Tayseer

doi:10.1080/10803548.2021.1877928

Cited by 28 publications

(47 citation statements)

References 18 publications

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“…Computer vision syndrome has been documented to be dependent on screen time (15,16). In consistent with previous findings, our study demonstrated a moderate positive correlation between average screen time and the sum grade of computer vision syndrome.…”

Section: Discussionsupporting

confidence: 92%

Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures

Wang

Wei

Deng

2021

Front. Public Health

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Purpose: To compare the prevalence of computer vision syndrome in university students of different teaching modes during the SARS-CoV-2 outbreak period.Methods: A cross-sectional survey study using the validated Computer Vision Syndrome Questionnaire in Chinese medical students of Sichuan University who took classroom lectures and the same-grade foreign students from a Bachelor of Medicine and Bachelor of Surgery (MBBS) program who took online lectures with similar schedules.Results: A total of 137 responses from 63 Chinese students and 74 MBBS students were obtained. The highest frequency of digital screen time was 7-9 h (43.24%, 32/74) for MBBS students and 2-4 h (46.03%, 29/63) for Chinese students. The prevalence of computer vision syndrome among Chinese students and MBBS students were 50.79% and 74.32%, respectively (P = 0.004). The average numbers of reported symptoms were 5.00 ± 2.17 in Chinese students and 5.91 ± 1.90 in MBBS students (P = 0.01). The three most highly reported symptoms were “heavy eyelids” (53.97%), “dryness” (50.79%), and “feeling of a foreign body” (46.03%) in Chinese students and “dryness” (72.97%), “feeling of a foreign body” (62.16%), and “heavy eyelids” (58.11%) in MBBS students. The sum grades of computer vision syndrome had a moderate positive correlation with screen time (Spearman's correlation coefficient = 0.386, P < 0.001). The grades of symptoms of “feeling of a foreign body,” “heavy eyelids,” and “dryness” showed a weak positive correlation with screen time (Spearman's correlation coefficients were 0.220, 0.205, and 0.230, respectively).Conclusion: Online study may contribute to the prevalence of computer vision syndrome among university students.

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Section: Discussionsupporting

confidence: 92%

Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures

Wang

Wei

Deng

2021

Front. Public Health

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“…The prevalence of CVS in the current study is consistent with findings from studies conducted in Saudi Arabia (81.2%), 34 and Indonesia (79.4%). 37 This agreement could be due to the nature of tasks in the academic environment in every higher academic institution where roles related to teaching and research activities are common.…”

Section: Discussionsupporting

confidence: 91%

“…Commonly, most University academic setting is dominated by males and the younger generation. Studies done in Malawi, 56 Indonesia, 36 and Saudi Arabia 34 had similar age and gender distribution, except for the studies in Malaysia, 53 and Iran, 54 which had more females than males. Even though there is no association between gender and CVS, the prevalence of computer vision syndrome was higher among male staff when compared with female staff (57% vs 21.8%) respectively.…”

Section: Discussionmentioning

confidence: 83%

Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study

Tesfaye

Alemayehu

Abere

et al. 2022

Environ�Health�Insights

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Introduction: Computer vision syndrome (CVS) is the leading occupational hazard of the 21st century, which causes the critical public health issues in the present era. In developing countries, including Ethiopia, data on the proportion and the causes of CVS are scarce among academic staff for policy conclusions. Accordingly, this study was conducted to determine the prevalence and factors associated with CVS among academic staff at the University of Gondar. Methods: Institution-based cross-sectional study design was conducted from March to April, 2021. A simple random sampling technique was used to select 525 study participants. Data were collected using a pre-tested self-administered structured questionnaire. The collected data were then entered into EpiData version 4.6 and analyzed using STATA version 14 software. The association between dependent and independent variables was computed with a binary logistic regression. Results: The prevalence of CVS was found to be 78.8% out of a total of 500 participants [95% CI (74.95, 82.30)], of which the majority (71.60%) of them were males. Using a computer for more than 9 years [AOR = 1.65, 95% CI (1.01, 2.71)], using visual display terminals [AOR = 2.63, 95% CI (1.60, 4.32)], and working in improper illumination levels (300 and >500 lux) [AOR = 2.47, 95% CI (1.47, 4.33)] increased the risk of CVS, whereas, Using eye droplets [AOR = 0.30, 95% CI (0.15, 0.58)] and taking rest breaks [AOR = 0.55, 95% CI (0.34-0.92)] were protective factors. Conclusion: This study disclosed that CVS was common among academicians. In the current study, the manifestation of CVS was affected by years of computer use, visual display terminals use, workplace illumination level, rest breaks, and eye droplets. Taking rest breaks in between the work, reducing exposure to display screens, use of eye drops, and optimizing workplace illumination levels are recommended to reduce the problem.

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“…Concluyeron que las tres cuartas partes de los empleados están en riesgo; los factores asociados al SVI fueron: la edad, el sexo, el hábito de tomar un descanso y el empleo de equipos electrónicos fuera del área de trabajo. Asimismo, Zalat et al, (2021) realizaron una investigación cuyo propósito fue establecer la prevalencia del SVI, visualizar y describir las condiciones de trabajo y la ergonomía en el personal universitario saudí. Los resultados mostraron que la prevalencia del SVI fue de 81.2%; los síntomas presentes fueron dolor de cabeza, sensación de disminución visual y dificultad para concentrarse en la visión de cerca.…”

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, visual ergonomics and amelioration among staff members in a Saudi medical college

Cited by 28 publications

References 18 publications

Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures

Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures

Prevalence and Associated Factors of Computer Vision Syndrome Among Academic Staff in the University of Gondar, Northwest Ethiopia: An Institution-Based Cross-Sectional Study

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

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