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

2016 ◽  
Vol 9 (1) ◽  
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

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

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.

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

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Awrajaw Dessie ◽  
Fentahun Adane ◽  
Ansha Nega ◽  
Sintayehu Daba Wami ◽  
Daniel Haile Chercos
Keyword(s):  
Risk Factors ◽  
Computer Vision ◽  
Associated Factors ◽  
Computer Users ◽  
Computer Usage ◽  
Eye Disease ◽  
Management Support ◽  
Safety Measures ◽  
Computer Vision Syndrome ◽  
Debre Tabor

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.

scholarly journals Work related complaints of neck, shoulder and arm among computer office workers: a cross-sectional evaluation of prevalence and risk factors in a developing country

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Priyanga Ranasinghe ◽  
Yashasvi S Perera ◽  
Dilusha A Lamabadusuriya ◽  
Supun Kulatunga ◽  
Naveen Jayawardana ◽  
...  
Keyword(s):  
Risk Factors ◽  
Developing Country ◽  
Office Workers ◽  
Cross Sectional ◽  
Work Related

scholarly journals FAKTOR RISIKO COMPUTER VISION SYNDROME PADA MAHASISWA JURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS LAMPUNG

2020 ◽  
Vol 7 (2) ◽  
pp. 29-37
Author(s):  
Debby Cinthya Damiri Valentina ◽  
M Yusran ◽  
Riyan Wahyudo ◽  
Rani Himayani
Keyword(s):  
Risk Factors ◽  
Computer Vision ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Risk ◽  
Computer Vision Syndrome ◽  
Computer Monitors ◽  
Science Major

ABSTRACT   Introduction: Computer vision syndrome (CVS) is a syndrome that occur due to excessive interaction with computers. Individual, environmental, and computer related risk factors increase CVS prevalence and cause eyes, visual, and extraocular related symptoms. This research aims to observe the relation between risk factors and CVS prevalence in students of Computer Science Major of Mathematics and Natural Sciences Faculty of Lampung University. Method: This research was an analitic survey with cross sectional study. Samples consisted of 56 students of 2014-2016 class year using proportional stratified random sampling techniques. This research used questionnaires and direct measurement of eyes distance and angle gaze of respondents. Collected datas then were analyzed by using univariate and bivariate analysis. Result: The prevalence of CVS obtained from samples was 39 students (69,6%). Statistic tests between risk factors and CVS are listed as follow, gender (p=0,909 OR=1,069), working years (p=0,007 OR=6,188), daily duration of computer exposures (p=0,022 OR=7,708), wearing spectacles (p=0,043 OR=8,000), taking a break (p=0,111 OR=2,786), eyes distance (p=0,028 OR=3,750), and angle gaze (p=0,047 OR=5,000). Conclusion: The significantly related risk factors to CVS were working years, daily duration of exposures, wearing spectacles, eyes distance, and angle gaze towards computer monitors.   Keywords: computer vision syndrome, risk factors

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

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.

scholarly journals Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Ghufran A. Abudawood ◽  
Heba M. Ashi ◽  
Nawaf K. Almarzouki
Keyword(s):  
Risk Factors ◽  
Computer Vision ◽  
Saudi Arabia ◽  
Medical Students ◽  
Significant Risk ◽  
Preventive Measure ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
King Abdulaziz University

Introduction. Computer vision syndrome (CVS) is “a complex of eye and vision problems related to near work experienced during computer use.” It is one of the rising health concerns related to technology (cell phones and tablets) due to continuous use of computers among students. The aim of this study was to determine the prevalence of CVS, associated risk factors, and commonly associated symptoms and to assess the awareness and proper practice of using computers for studying. Methods. A cross-sectional descriptive study was conducted among 651 undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. An electronic survey was conducted to collect the data. Data were analyzed using SPSS v21. The chi-square test (Fisher’s exact test when required) was used to study the significance of associations. P value <0.05 was considered statistically significant. Results. High prevalence of CVS was observed, in which 95% (558) reported at least one symptom during studying using computers. Most frequently reported symptoms were excessive tearing and neck, shoulder, or back pain. Female students had a higher risk of CVS (P=0.003). Students who are myopic or hyperopic showed no association. Astigmatism was associated significantly with CVS (P=0.03). Using spectacles or contact lens showed no association. Students with dry eye disease revealed a significant association with CVS (P=0.01). The most significant risk factors related to the daily usage of computer were longer duration of studying (P<0.001), short distance from the screen (P<0.05), and high brightness of the screen (P<0.05). The most significant preventive measure taken to relieve the symptoms was applying the 20-20-20 rule. Conclusion. CVS is common among medical students; significant risk factors need to be addressed to reduce the symptom and to ensure a better productivity of work. It is a necessity to raise awareness among medical students regarding computer-related health problems.

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

2021 ◽  
Vol 15 (1) ◽  
pp. 19-26
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.

scholarly journals Assessment of Computer Vision Syndrome and Personal Risk Factors among Employees of Commercial Bank of Ethiopia in Addis Ababa, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Haile Derbew ◽  
Ansha Nega ◽  
Worku Tefera ◽  
Tekie Zafu ◽  
Kenfe Tsehaye ◽  
...  
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Computer Vision ◽  
Logistic Regression ◽  
Commercial Bank ◽  
Protective Factor ◽  
Electronic Materials ◽  
Addis Ababa ◽  
Personal Factors ◽  
Computer Vision Syndrome

Background. Computer vision syndrome (CVS) is an amalgam of visual symptoms caused by continued use of computers. Worldwide, up to 70 million workers are at risk for computer vision syndrome resulting in reduced productivity at work and reduced quality of life. Bank employees are among the risky workers with unknown magnitude of the syndrome. Therefore, the main aim of this study was to determine the prevalence of CVS and its associated personal factors among employees of Commercial Bank of Ethiopia. Methods. A total of three hundred and fifty-nine bank workers participated in the study between February and March 2018. A self-administered structured questionnaire was used to collect sociodemographic data, CVS symptoms, and its personal factors. Snellen chart tool was used to measure blurred vision. Data entry and analysis were performed via Epi Info™ 7 and Statistical Package for the Social Sciences (SPSS) version 21. Binary logistic regression and multivariable logistic regression were performed to assess the association and control the potential confounders. Result. The prevalence of computer vision syndrome in the last 12 months among the total study subjects, 359 (98% response rate), was 262 (74.6%) (95% confidence interval [CI] = 70.1, 79.5). Risk factors that could not be intervened with were sex (AOR: 1.8; 95% CI (1–3)) and age group (AOR: 3.11; 95% CI (1.2–8)). Causal factors that could be intervened with were use of electronic materials outside work (AOR: 3.11; 95% CI (1.15–8.36). Protective factor that could be intervened with was habit of taking a break (AOR: 0.44; 95% CI (0.3–0.8)). Conclusion and Recommendation. Three-fours of the employees were at risk. Sex, age, habit of taking a break, and use of electronic materials outside work environment were significantly associated with the presence of CVS. Remedial actions need to be considered at individual level.

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