Computer Vision Syndrome and Associated Factors among Computer Users in Debre Tabor Town, Northwest Ethiopia

Background. Globally, computer is one of the common office tools used in various institutions. Using computer for prolonged time led to the users at greater health risk of computer vision syndrome (CVS). Computer vision syndrome is the leading occupational health problem of the twenty-first century. About 70 percent of computer users are suffered from CVS. Besides the health problems, CVS causes inefficiency at workplace and deteriorate quality of work. The problem of CVS and its risk factors are not well known in Ethiopia. Method. A cross-sectional study was conducted to assess the prevalence of CVS and associated factors among computer user government employees in Debre Tabor town from February to March, 2016. Multistage random sampling method was applied to select 607 study participants, and the data were collected by using a structured questionnaire. Computer vision syndrome was measured by self-reported method. Bivariate and multivariable binary logistic regression analyses were performed using SPSS version 20. Significance level was obtained at 95% CI and p value < 0.05. Results. The prevalence of CVS was 422 (69.5%) with 95% CI of 65.60, 73.0%. Blurred vision, eyestrain, and eye irritation were the commonest reported symptoms of CVS with proportion of 62.60%, 47.63%, and 47.40%, respectively. Occupation: officer (adjusted odds ratio (AOR) = 4.74) and secretary (AOR = 9.17), daily computer usage (AOR: 2.29), and preexisting eye disease (AOR = 3.19) were risk factors for CVS. However, computer users with high payment, who took regular health break, and with good knowledge on computer safety measures were less impacted by CVS. Conclusion. The prevalence of computer vision syndrome was found to be higher in Debre Tabor town. Monthly income, occupation, daily computer usage, regular health break, knowledge, and preexisting eye disease were predictor variables for CVS. Optimizing exposure time, improving awareness on safety measures, and management support are important to tackle CVS.

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Computer Vision Syndrome (CVS) and its Associated Risk Factors among Undergraduate Medical Students in Midst of COVID-19

Pakistan Journal of Ophthalmology ◽

10.36351/pjo.v37i1.1124 ◽

2020 ◽

Vol 37 (1) ◽

Author(s):

Khola Noreen ◽

Kashif Ali ◽

Kausar Aftab ◽

Muhammad Umar

Keyword(s):

Risk Factors ◽

Computer Vision ◽

Medical Students ◽

Computer Usage ◽

Undergraduate Medical Students ◽

Cross Sectional ◽

Eye Irritation ◽

Graduate Medical ◽

Computer Vision Syndrome ◽

Associated Risk Factors

Purpose: To determine the frequency of computer vision syndrome and its associated risk factors among under graduate medical students. Study Design: Descriptive Cross–sectional study. Place and Duration of Study: Gujranwala Medical College and Rawalpindi Medical University, Pakistan from 5th August to 28th August, 2020. Methods: A validated self-designed questionnaire was used for this study. The survey instrument was tailored from a published questionnaire which comprised of questions on demographics, frequency of symptoms of computer vision syndrome, pattern of computer usage and ergonomic practices. Results: Final analysis was run on 326 under graduate medical students. Females were 228 (69%) and 98 (30%) were males. Age of the participants ranged between 17 to 25 years. Overall frequency of CVS was found to be 98.7%. Twenty nine percent students experienced extra ocular complaints and 71% had ocular symptoms. Symptoms of CVS were more commonly observed among those using desktop/laptop at less than forearm length (p = 0.001). Distance of < 12 inches from mobile phone was found to be associated with eye irritation and neck shoulder pain (p = 0.001). Frequency of break of more than 60 minutes was found to be significantly associated with eye irritation (p = 0.002) and excessive blinking and light sensitivity (p = 0.001). The students not using ergonomically comfortable chair were found to suffer more with symptoms of CVS as compared to those using ergonomically designed chair (p = 0.049). Conclusion: Health issues related to excessive use of digital devices has become alarmingly high during COVID-19 pandemic. Symptoms of CVS are significantly associated with distance from digital device and less frequent break intervals. Key Words: COVID-19, Computer Vision Syndrome, Digital eye syndrome, ergonomics, visual display terminals.

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1049 Computer vision syndrome and visual function in computer users workers in são paulo: prevalence and associated factors

10.1136/oemed-2018-icohabstracts.392 ◽

2018 ◽

Author(s):

Eduardo C Sá ◽

C Martinez Maria ◽

M Fischer Frida

Keyword(s):

Computer Vision ◽

Visual Function ◽

Associated Factors ◽

Sao Paulo ◽

Computer Users ◽

São Paulo ◽

Computer Vision Syndrome

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Relationship between Computer Vision Syndrome and A Collection of Musculoskeletal Pain among Frequent Computer Users

Strengthening Hospital Competitiveness to Improve Patient Satisfaction and Better Health Outcomes ◽

10.26911/the6thicph.05.24 ◽

2019 ◽

Author(s):

Hari Peni Julianti ◽

◽

Trilaksana Nugroho ◽

Dea Amarilisa Adespin ◽

Arwinda Nugraheni ◽

...

Keyword(s):

Computer Vision ◽

Musculoskeletal Pain ◽

Computer Users ◽

Computer Vision Syndrome

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COMPUTER VISION SYNDROME: PREVALENCE AND ASSOCIATED RISK FACTORS AMONG UNDERGRADUATES IN A TERTIARY INSTITUTION IN NORTH WESTERN NIGERIA

Kanem Journal of Medical Sciences ◽

10.36020/kjms.2021.1503 ◽

2021 ◽

Vol 15 (1) ◽

pp. 1-8

Author(s):

Nwankwo B ◽

◽

Mumueh KP ◽

Olorukooba AA ◽

Usman NO

Keyword(s):

Risk Factors ◽

Computer Vision ◽

Computer Use ◽

P Value ◽

Tertiary Institution ◽

Blurred Vision ◽

Cross Sectional ◽

Computer Vision Syndrome ◽

Increased Risk ◽

Associated Risk Factors

Background: Computers and other visual display devices have become essential in the present era and have led to a rise in computer-related health problems. Using computers in homes, universities and other institutions has increased output greatly but has also led to an increased risk of developing Computer vision syndrome (CVS). Objectives: To determine the prevalence and risk factors associated with computer vision syndrome among undergraduates. Methodology: A cross-sectional study was conducted among153 respondents who were selected using a multi-stage sampling technique. A pretested, structured, interviewer-administered questionnaire was used to collect data. SPSS version 23 was used to analyze the data. A Chi-square test was used to determine the relationship between CVS and associated risk factors at a P-value of <0.05. Results: The mean age of respondents was 22.4 ± 3.4 years. The prevalence of CVS in this study was 83 (54.3%). The common symptoms experienced among the respondents were headache (51, 61.4%), eye strain (48, 57.8%) and blurred vision (42, 50.6%). The risk factors significantly associated with CVS in this study were duration of computer use, hours of computer use per day, level of a computer screen and taking breaks during computer use. Conclusion: About half of the students in this study had at least one symptom of CVS. Therefore, awareness of CVS should be created by the institution during which students would be educated on CVS and its prevention.

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Computer Vision Syndrome among Internet Users

Encyclopedia of Cyber Behavior ◽

10.4018/978-1-4666-0315-8.ch065 ◽

2012 ◽

pp. 782-798

Author(s):

Liang Hu ◽

Fan Lu

Keyword(s):

Computer Vision ◽

Current Knowledge ◽

Treatment Strategies ◽

Computer Users ◽

Computer User ◽

Contributing Factors ◽

Internet Users ◽

Computer Vision Syndrome ◽

Computer Environments

The chapter is intended to introduce Computer Vision Syndrome (CVS), a widely spreading but largely unknown epidemic among professional and ordinary computer users, especially internet users. Dr. Sheedy and Dr. Anshel are two leading researchers in the ergonomics and optometry fields, and CVS has been extensively studied in these fields. The authors have summarized their views about CVS, including five major symptoms of CVS, three key contributing factors of CVS, and basic preventive and treatment strategies. Future researches are needed to continue the advancement of current knowledge regarding computer screens, computer task, and computer environments, and to expand research in diverse computer user populations, especially younger computer users.

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Dry Eye Disease Association with Computer Exposure Time Among Subjects with Computer Vision Syndrome

Clinical Ophthalmology ◽

10.2147/opth.s252889 ◽

2020 ◽

Vol Volume 14 ◽

pp. 4311-4317

Author(s):

María del Rosario Sánchez-Valerio ◽

Karim Mohamed-Noriega ◽

Irma Zamora-Ginez ◽

Blanca Guadalupe Baez Duarte ◽

Verónica Vallejo-Ruiz

Keyword(s):

Computer Vision ◽

Dry Eye ◽

Exposure Time ◽

Disease Association ◽

Dry Eye Disease ◽

Eye Disease ◽

Computer Vision Syndrome

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Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors

BMC Research Notes ◽

10.1186/s13104-016-1962-1 ◽

2016 ◽

Vol 9 (1) ◽

Cited By ~ 36

Author(s):

P. Ranasinghe ◽

W. S. Wathurapatha ◽

Y. S. Perera ◽

D. A. Lamabadusuriya ◽

S. Kulatunga ◽

...

Keyword(s):

Risk Factors ◽

Computer Vision ◽

Developing Country ◽

Office Workers ◽

Computer Vision Syndrome

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Level of Awareness, Perception And Uptake Of Interventions For Computer Vision Syndrome Among University Students, Maseno, Western Kenya

10.21203/rs.2.15734/v1 ◽

2019 ◽

Author(s):

Shadrack Muma ◽

Dickens Omondi Aduda ◽

Patrick Onyango

Keyword(s):

Public Health ◽

Computer Vision ◽

University Students ◽

Early Recognition ◽

Computer Users ◽

Health Concern ◽

Public Health Concern ◽

Awareness Campaigns ◽

Computer Vision Syndrome ◽

Study Results

Abstract Background Computer vision syndrome is a multi-factorial condition of the eye that results in symptoms of stress and discomfort among computer users. It causes chronic vision-related morbidity and reduced work productivity. Ninety percent and 75% of computer users globally and in Africa respectively suffer from CVS. It is an insidious chronic condition that however, has hitherto received little attention, both by health providers as well as computer users. Also, it is likely to be under diagnosed as it mimics other eye conditions. The risk factors for CVS include prolonged period of electronic device use and glare. In Kenya, lack of awareness of the disease is a key barrier to early detection, health seeking and use of interventions. The burden of CVS and how much computer users in learning institutions are aware of and perceive CVS remains unknown.Methods This study adopted cross-sectional study design to determine the level of awareness, perception of CVS, uptake of preventive measures by students at Maseno University. In total, we administered questionnaires to 384 randomly selected students.Results The mean age was 19.5 years (SD= 0.747) with 18-24 years as the modal age group. Females comprised 51.3% (n=197) and males 48.7%. Participants who had at least 5 symptoms of CVS were 60.4% (n= 232). Awareness level was classified as low in 47.8%; medium level in 38.2% and high level in 13.8% of respondents . Sixty percent of respondents did not perceive CVS as an issue of public health concern compared to 39.8% who perceived CVS as an issue of public health concern ( p=0.001). In terms of precautionary measures, only duration of computer use (46.2%, p = 0.001 ) were practiced. The study results show that at least 3 out of 5 students have at least five symptoms of CVS, whereas awareness of the disease and related risks remain low.Conclusion The results of the present study indicate that CVS is a less recognized health concern among university students. Consequently, screening for the disease sensitization of students on CVS and awareness campaigns to improve early recognition and diagnosis of disease as well as uptake of interventions is recommended.

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Prevalence of Computer Vision Syndrome Among Iranian Medical University Employees and Graduate Students in their Occupational Environment

Function and Disability Journal ◽

10.32598/fdj.4.17 ◽

2021 ◽

Vol 15 (3) ◽

pp. 151-160

Author(s):

Milad Qolami ◽

◽

Natalia Cantó-Sancho ◽

Mar Seguí-Crespo ◽

Elena Ronda-Pérez ◽

...

Keyword(s):

Computer Vision ◽

Graduate Students ◽

Pearson Correlation ◽

Medical Science ◽

Computer Users ◽

Computer Work ◽

University Employees ◽

Occupational Environment ◽

Computer Vision Syndrome ◽

The Mean

Background and Objectives: The prolonged use of digital screens can cause a set of visual and ocular symptoms known as Computer Vision Syndrome (CVS), which is a common health issue among computer users. This study aimed to estimate the prevalence of CVS among university employees and graduate students in their occupational environment in Iran. Methods: A cross-sectional study was carried out in the Rehabilitation School of Iran University of Medical Science, Tehran, Iran. The study population (n=154) included all university employees and graduate students who spend at least one hour of computer work per day in their workplace. The participants completed a validated self-administered questionnaire. A descriptive analysis was performed and the prevalence of CVS was calculated. The correlations between variables were assessed using the Pearson and Spearman correlation coefficients and non-parametrical tests were used to evaluate the association between CVS and predictor variables, as well as differences between subgroups. Results: The Mean±SD age of the sample was 37.7±11.0 years, 64.3% were women, 57.8% were employee, 56.5% have higher education and the Mean±SD of computer usage time was 5.08±2.2. The total prevalence of CVS was 48.7% and the most frequent symptoms were eye redness (62.3%) and burning (56.5%). A significant positive correlation was found between the number of hours working with a computer and the total score of CVS (Pearson correlation coefficient = 0.248, P=0.02). Moreover, the total score of CVS significantly differed between participants who use six or more hours the computer and those who spend less than six hours (Mann-Whitney U test: P=0.007). Conclusion: This is the first investigation using a validated questionnaire to estimate the prevalence of CVS among computer users in the occupational environment, in Iran. The results show a relatively high prevalence of CVS these populations. The most affected are those who use the computer for a longer duration.

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