Computer vision syndrome: a rising problem during COVID-19 period amongst students and online workers

Parajuli, Bibek Raj; Koirala, Sanjib; Bajracharya, Abishek

doi:10.3126/jpahs.v8i2.30380

Cited by 7 publications

(4 citation statements)

References 11 publications

(22 reference statements)

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“…According to this study, only 23.1% respondents had some knowledge about computer vision syndrome. This was in accordance with a study conducted among students of Nepal stating that 22.9% participants had knowledge about CVS (25).…”

Section: Discussionsupporting

confidence: 92%

Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Maqbool,

Manzoor,

Amjad

et al. 2024

Pak J Public Health

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Background: This study aimed to determine the prevalence of computer vision syndrome (CVS) and its associated factors among undergraduate college students. Methodology: An analytical cross-sectional study was conducted from April 2022 to October 2022 using a web-based survey. A sample of 415 undergraduate college students was included through convenience sampling. Data collection utilized a self-structured questionnaire for socio-demographic information and a validated questionnaire (CVS-Q). Data entry and analysis were performed using SPSS version 23. Chi-square test and logistic regression were employed to identify associations and predictors, respectively, with statistical significance set at p ≤ 0.05. Results: The mean age of the participants was 21.3 ± 2.8 years. Among 415 participants, the prevalence of CVS was 60.9%, with headache being the most commonly reported symptom (73.2%). Female gender (p < 0.001), presence of refractive error (p < 0.001), use of video display terminal (VDT) devices (p = 0.007), daily average screen time (p = 0.006), and lighting conditions while using VDT devices (p = 0.05) were significantly associated with CVS. Conclusion: A high frequency of computer vision syndrome was observed among undergraduate college students. Female gender, refractive error, type of VDT used, average screen time, and lighting conditions during VDT device use were significantly associated with CVS.

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Section: Discussionsupporting

confidence: 92%

Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Maqbool,

Manzoor,

Amjad

et al. 2024

Pak J Public Health

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“…Increased online learning has been reported in all levels of education 23 24. Students previously used digital devices as homework aids and for reading textbooks, but after school closures, they were used for online classes as well, adding to the number of hours of screen time per day.…”

Section: Discussionmentioning

confidence: 99%

Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study

Seresirikachorn

Thiamthat

Sriyuttagrai

et al. 2022

bmjpo

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PurposeComputer vision syndrome (CVS) describes a group of eye and vision-related problems that result from prolonged digital device use. This study aims to assess the prevalence and associated factors of CVS among students during the lockdown resulting from the COVID-19 pandemic.MethodsA cross-sectional, online, questionnaire-based study performed among high school students in Thailand.ResultsA total of 2476 students, with mean age of 15.52±1.66 years, were included in this study. The mean number of hours of digital device use per day (10.53±2.99) increased during the COVID-19 pandemic compared with before its advent (6.13±2.8). The mean number of hours of online learning was 7.03±2.06 hours per day during the pandemic. CVS was found in 70.1% of students, and its severity correlated with both the number of hours of online learning and the total number of hours of digital device usage (p<0.001). Multiple logistic regression analysis revealed that the factors associated with CVS included age ≤15 years (adjusted OR (AOR)=2.17), overall digital device usage >6 hours per day (AOR=1.91), online learning >5 hours per day (AOR=4.99), multiple digital device usage (AOR=2.15), refractive errors (AOR=2.89), presence of back pain (AOR=2.06) and presence of neck pain (AOR=2.36).ConclusionsThe number of hours of digital device usage increased during lockdown. Over 70% of children had CVS, whose associated factors, including hours of digital device usage, hours of online learning, ergonomics and refractive errors, should be adjusted to decrease the risk of acquiring this condition. Online learning will remain, along with CVS, after this pandemic, and we hope our research will be taken into account in remodelling our education system accordingly.

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“…From the global report, data prevalence of computer users ( 7 – 9 ) of CVS ranges from 64 to 90%. A total of 70 million workers worldwide are at risk of developing CVS, with one million new cases occurring per year ( 10 , 11 ). CVS is more prevalent in developing countries than in developed countries because of a lack of availability and use of personal protective equipment, a large workload, and insufficient break time when using a computer ( 12 ).…”

Section: Introductionmentioning

confidence: 99%

Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia: an institutional-based cross-sectional study

Gasheya,

Belay,

Abegaze

et al. 2024

Front. Public Health

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BackgroundComputer vision syndrome (CVS) is the most pressing public health concern that affects vision and reduces quality of life and productivity, particularly in developing countries. Most of the previous studies conducted in Ethiopia focus on the knowledge and personal risk factors of bank workers. Moreover, ergonomic workstation design was not objectively assessed, which could hinder the implementation of effective intervention strategies. Therefore, this study aimed to determine CVS and ergonomic factors among commercial bank workers in Addis Ababa, Ethiopia.MethodsAn institutional-based cross-sectional study was carried out among 466 study participants from May 26 to July 24, 2022. A multistage sampling technique was applied to select the study participants. Data were collected via a standardized tool of CVS (CVS-Q). Besides, workstation ergonomics were pertinently assessed. The collected data was entered into EpiData version 3.1 and exported to SPSS version 26 for data analysis and cleaning. Multivariable logistics regression analysis was performed to identify factors associated with CVS. The variables with a p-value < 0.05 were considered statistically significant factors.ResultsPrevalence of CVS was 75.3% (95% CI: 71.2–79.2%). Blurred vision, eye redness, and headache, 59.8%, 53.7%, and 50.7%, respectively, were frequently reported symptoms. Glare (AOR = 4.45: 95% CI: 2.45–8.08), 20–20–20 principle (AOR = 1.98, 95% CI: 1.06–3.67), wearing non-prescription eyeglasses (AOR = 4.17; 95% CI: 1.92–9.06), and poor workstation (AOR = 7.39; 95% CI: 4.05–13.49) was significantly associated with CVS.ConclusionThe prevalence of CVS was found to be high. Glare at work, ignoring the 20–20–20 principle, wearing non-prescription eyeglasses, and poor workstation ergonomic design were independent predictors of CVS. Therefore, comprehensive interventional activities like adhering to the 20–20–20 principle, avoiding the use of non-prescription glasses, minimizing glare, and improving workstation ergonomic setup are essential to prevent CVS.

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Computer vision syndrome: a rising problem during COVID-19 period amongst students and online workers

Cited by 7 publications

References 11 publications

Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Computer Vision Syndrome Among College Students: An Emerging Health Issue of Current Era

Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study

Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia: an institutional-based cross-sectional study

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