Duration Of Computer Use Research Articles

Overview of the incidence and risk factors of computer vision syndrome among office workers at PT XYZ, Pasuruan, East Java

Computers have millions of benefits and functions for their users, but excessive use of computers can also have negative impacts on health, one of which is Computer Vision Syndrome. Computer Vision Syndrome is an eye health problem commonly referred to as digital eye strain, which describes a group of problems experienced related to eye health and vision due to prolonged use of computers, tablets, digital magazines and cell phones. The research is quantitative descriptive research with a cross sectional approach. The research subjects used were all office workers at PT. XYZ, Pasuruan has 21 workers. From 21 samples, it is known that CVS occurred in section workers office PT. XYZ Pasuruan was 52.38% with the complaints most often felt by workers were dry eyes (66.67%), headaches or dizziness (52.38%), blurred vision (52.38%), and difficulty focusing when looking. short distance (47.62%). The incidence of CVS was found most frequently in female workers (80%), the duration of computer use was as long as≥ 4 hours a day (58.82%), eye position that is not at the same level as the computer (75%), and respondents who have a viewing distance of < 50 cm from the computer. (100%).

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KELUHAN KELELAHAN MATA PADA PEKERJA KANTOR X KARANGANYAR

Office workers X Karanganyar are computer users, with an average duration of computer use in a day of more than 4 hours. The average worker has been working for more than three years and is still exposed to lighting intensity that is less than standard (< 300 lux) with an eighthour workday, putting them at risk of experiencing eye fatigue. This study aims to determine the relationship between lighting intensity, working period, and duration of computer use with complaints of eye fatigue in Karanganyar X Office workers. This study uses an analytical observational method with a cross-sectional approach. The research population was 80 people. The sampling technique used is purposive sampling with criteria of age 50 and working on a computer for at least 2 hours continuously, and the research sample is 45 people. Measurement of lighting intensity using a Lux meter and eye fatigue using a Visual FatigueIndex (VFI) questionnaire. The results of the bivariate analysis with Somers'd showed that there was a relationship between lighting intensity and complaints of eye fatigue (p-value = 0.030, r = 0.333), there was a relationship between years of service and complaints of eye fatigue (p-value = 0.003, r = 0.457), and there is a relationship between the duration of computer use and complaints of eye fatigue (p-value = 0.028, r = 0.326). To reduce eye fatigue, it can be done by setting up the layout of the workplace, taking breaks in between work, and getting regular eye health checks.

FACTORS RELATED TO THE INCIDENCE OF EYE FATIGUE TO COMPUTER EXPOSURE IN WORKERS AT PT. A. W FABER-CASTELL INDONESIA BEKASI IN 2022

The use of computers is useful as a communication tool, facilitating work. Excessive use of computers can cause eye disease, body, or head. Globally, around 45-70 million people spend time watching videos. basic health research in 2018, the proportion of eye injuries caused by an event or accident in the productive age of 15-45 years was 2.6%. As for the type of employee work, eye injuries have a proportion of 0.5 %. The purpose of this study was to determine the factors associated with the incidence of eye fatigue due to computer exposure among workers at PT. AW Faber-Castell Indonesia Bekasi Year 2022. This type of research uses analytic research with a cross-sectional approach with a total sample of 50 workers at PT. AW Faber-Castell Indonesia. The sampling technique uses the Total Population. Data were analyzed univariately and bivariately with the Chi Square test. The results of this study indicate workers who experience eye fatigue (74%). The most common types of eye fatigue are blurred vision (42%), sore eyes (32%), and difficulty focusing to see (30%). In this study, there were no variables that had a significant relationship, namely the distance on the monitor screen with a p-value = 0.303, eye rest P- value = 0.886 (p-value>0.05) OR = 0.735 (95% CI = 0.202-2.674), duration of computer uses p-value = 1000, work period p -value = 0.707, lighting p -value = 1000. There were many complaints of eye fatigue and duration of computer use that exceeded 4 hours/day. So, it is recommended to pay attention to the risk of eye fatigue by stretching to rest the eyes work with lighting appropriate to the type of work object, and carry out maintenance.

Can biofeedback training in combination with ergonomic information reduce pain among young adult computer users with neck and upper extremity symptoms? - A randomized controlled intervention study

The aim of this randomized controlled study was to explore if an intervention with biofeedback training in combination with ergonomic discussions, could improve working technique and work postures, and reduce pain intensity and perceived exertion in young adult computer users with ongoing neck and upper extremity symptoms.39 participants were divided into an intervention group and a control group. The intervention consisted of 4 sessions during a three-month period. Working technique, working postures, rated perceived exertion, pain intensity, and duration of computer use were measured at baseline and follow ups after 6 and 12 months.The intervention did not significantly improve working technique and working postures, nor reduce pain intensity and perceived exertion in the intervention group compared to the control group. However, there was a statistically significant reduction in reported pain intensity in the neck/shoulder for the whole group. Also, there was a trend that time spent with computer work without breaks was more reduced in the intervention group than in the control group.

Factors that cause the occurrence of Computer Vision Syndrome (CVS) complaints in a person: A literature review

Computer Vision Syndrome as a complex eye and vision complaint experienced when using a computer. CVS is a compound eye experiences when using a computer. Nothing can explain the exact cause of CVS because including individual factor, environmental factors and computer factors. The purpose of this study was to identify the factors that influence the occurrence of Computer Vision Syndrome (CVS) complaints in a person. The research method utilized is a literature review, which involves searching for research articles from the electronic database Google Scholar and Research Gate using keywords such as Computer Vision Syndrome, causative factor, eye complaints, individual factor, and length of computer use. From the results of the study, it can be concluded that CVS complaints are caused by factors such as length of time working at the computer (2 articles), length of rest after using the computer (3 articles), length of computer use (2 articles), duration of computer use (3 articles), and viewing angle of the computer screen (1 article).

Risk factors of computer vision syndrome in students during online learning period

The COVID-19 pandemic poses a risk of increasing cases of computer vision syndrome (CVS) due to changes in the environment for work and study because of the implementation of the Work/Study from Home policy. This study aimed to determine the risk factors associated with CVS in students. The study design was cross-sectional with the population of bachelor program students, with a sample size of 124 students. Data were collected through online questionnaires. Data analysis was carried out to study the statistical relationship between the independent variables and the dependent variable using the Chi-Square test. This study showed that the prevalence of CVS among students was 87.1%. The analysis showed that one variable had a significant relationship with CVS in students, namely emotional exhaustion (OR 5.47, 95% CI: 1.75-17.02). Another variable, although not significant, was considered to play a role as a risk factor for CVS, namely the duration of computer use (OR 4.75, 95% CI: 1.02-22.25). Emotional exhaustion and duration of computer use are important risk factors in the occurrence of CVS in students during the online learning period. It is necessary to increase socialization regarding the ergonomics of using computers and stress management to prevent CVS in students.

The Association between Screen Time and Low Back Pain among Male College Students

Low back pain (LBP) is the most common musculoskeletal complaint. LBP affects all age groups, including college students. In the digital and communication era, computers and gadgets are ordinary. Excessive computer/gadget use can produce musculoskeletal work imbalance leading to LBP. Several risk factors are also linked to LBP, such as flexibility, strength muscle, body mass index (BMI), and standing posture. Thus, our study aims to investigate the association between LBP, screen time, and risk factors in male college students. This study was cross-sectional, involving 132 students. Height and weight were measured, and BMI was obtained. LBP was assessed using the Nordic Musculoskeletal Questionnaire (NMQ), and the duration of computer use was obtained using a questionnaire. Back muscle flexibility was measured using a modified sit and reach test; back muscle strength was measured using Back-Leg Dynamometer. Posture was assessed using the New York Posture Rating Chart (NYPRC). All variables were categorized into two groups. Fifty participants (37.9%) had LBP. Forty-six participants (34.8%) use computer/gadget excessively. The screen time was associated with LBP (p=0.04, OR 2.19, 95%CI 1.05-4.56). No relationship was found between flexibility, back muscle strength, BMI, and posture. Screen time is associated with LBP in male colleges. Excessive screen time had a 2.19 times greater risk of having LBP. This study conclude that excessive screen time is associated with LBP in male college students.

The Impact of Using Technological Devices on Mental and Physical Health in Adolescents

Objectives: In recent years, adolescents spend increasingly more time on technologic devices such as smartphones, televisions, computers, and tablets. The aim of the present study was to investigate the relationship between the usage of digital technology and health-related problems among adolescents. Methods: A cross-sectional exploratory study was conducted by using a face-to-face survey administered to a sample of students studying at 4 randomly chosen public middle school and 4 randomly chosen public high school in the city of Istanbul. In this study recruited 1147 volunteer adolescents. All participants were answered a questionnaire regarding the demographic characteristics, technological devices useage patterns and health-related problems. Results: Most of the adolescents had smartphones (99.4%) and the fewest had game consoles (18.2%). The rate of using television and smartphone for more than two hours a day among adolescents was 13.1% and 28.4%, respectively. A decrease in sleep duration, increase in falling asleep time, distraction, fatigue, eating disorders and psychological symptoms were significantly more present for individuals using smartphone more than two hours. A positive and very weak relationship was detected between the duration of smartphone use and neck (r=0.096; p=0.002), wrist (r=0.079; p=0.008) and shoulder (r=0.069; p=0.021) pain. Also, positive and very weak relationship was detected between the duration of computer use and upper back (r=0.102; p=0.001), lower back (r=0.078; p=0.011) and shoulder (r=0.069; p=0.041) pain. Conclusion: This study showed the most widely used technological device among adolescents is smartphones and it was observed that the excessive use of this device among adolescents is more associated with many different health-related problems than other technological devices.

Artificial intelligence-based stratification of demographic, ocular surface high-risk factors in progression of keratoconus.

The purpose of this study was to identify and analyze the clinical and ocular surface risk factors influencing the progression of keratoconus (KC) using an artificial intelligence (AI) model. This was a prospective analysis in which 450 KC patients were included. We used the random forest (RF) classifier model from our previous study (which evaluated longitudinal changes in tomographic parameters to predict "progression" and "no progression") to classify these patients. Clinical and ocular surface risk factors were determined through a questionnaire, which included presence of eye rubbing, duration of indoor activity, usage of lubricants and immunomodulator topical medications, duration of computer use, hormonal disturbances, use of hand sanitizers, immunoglobulin E (IgE), and vitamins D and B12 from blood investigations. An AI model was then built to assess whether these risk factors were linked to the future progression versus no progression of KC. The area under the curve (AUC) and other metrics were evaluated. The tomographic AI model classified 322 eyes as progression and 128 eyes as no progression. Also, 76% of the cases that were classified as progression (from tomographic changes) were correctly predicted as progression and 67% of cases that were classified as no progression were predicted as no progression based on clinical risk factors at the first visit. IgE had the highest information gain, followed by presence of systemic allergies, vitamin D, and eye rubbing. The clinical risk factors AI model achieved an AUC of 0.812. This study demonstrated the importance of using AI for risk stratification and profiling of patients based on clinical risk factors, which could impact the progression in KC eyes and help manage them better.

The Effect of Computer Usage Time on Radial and Ulnar Deviation in University Students

Objective: The use of technological devices for more than a certain number of hours in daily life causes some anatomical changes in the human body. The aim of this study was to determine the changes that may occur in the range of motion in the wrist depending on the duration of computer use and to perform examinations on the wrist. Material and Method: In the study conducted on university students, a questionnaire was used to obtain demographic information, a tape measure, a manual muscle test, and a universal goniometer with a sensitivity of 1 degree, and measurements were made with 198 volunteer participants. The data and analysis of the study were performed and evaluated with SPSS (Statistical Program in Social Sciences) 25 program. Results: In this study conducted on university students, an increase in radial and ulnar deviation degrees due to computer use was found (p<0.05). A statistically significant difference was found between the groups (those who used computers for less than 3 hours and more than 3 hours) according to the E-sports (E: Electronic) status of the participants (p<0.05). There was no statistically significant difference between the groups (those who used computers for less than 3 hours and more than 3 hours) in wrist circumference measurement (p>0.05). Conclusion: We believe that knowing the radial and ulnar goniometric angles of the wrist will guide clinicians in wrist fractures and wrist analysis.

The Effect of Coding Education with Minecraft EDU on Students' Problem Solving Skills and Their Attitudes towards Coding

In the current study, it was aimed to examine the effect of game-based Python coding education with Minecraft EDU on students' problem solving skills and attitudes towards coding. The study was designed with a one-group pretest-posttest experimental model, which is one of the quantitative research methods supported by qualitative data. The research group consists of 7th grade students studying in a public school in Zile district of Tokat province in the 2021-2022 academic year. The study was maintained with a 6-week program of 12 hours in total. The data collection tools used to collect data within the scope of the research are "Problem Solving Inventory for Children (PSI)", "Attitude towards Coding Scale" and semi-structured interview form. According to the findings, no difference was found in the problem solving skills of the students participating in the study. Gender, daily game playing time and daily internet usage time variables were found to have no effect on problem solving skills. However, the variables of computer use duration show a significant difference. As a result of the research, no difference was found in students' attitudes towards coding. Similarly, it was found that gender, duration of computer use (years), daily computer use, daily internet use and daily computer game playing time had no effect on attitudes towards coding. In addition, it was determined that game-based coding education is fun, more instructive, provides active learning, increases interest and motivation towards the lesson and makes the process more instructive and the learning process enjoyable. Moreover, it was determined that text-based coding caused difficulties for the students and the fact that the code groups were in English made the process more difficult.

Investigation of the predictors of temporomandibular disorders in engineers across different variables: sociodemographic characteristics, neck pain and neck awareness

Purpose/Aim This study aimed to investigate the predictors of temporomandibular disorders (TMD) in desk-bound engineers. Materials and Methods The Fonseca Anamnestic Index (FAI), The Visual Analogue Scale (VAS), The Neck Pain and Disability Scale (NPDS), Neck Bournemouth Questionnaire (NBQ) and The Fremantle Neck Awareness Questionnaire-Turkish (FreNAQ-T) were used for TMD severity, pain, disability, neck awareness. Results The study was conducted with 208 desk-bound engineers. Mild-to-severe TMD was detected in 78.9% of the subjects. Intensity of pain at rest and during activity was higher in female engineers compared to male engineers (p = 0.002 and <0.01, respectively) and mean FAI, NBQ, NPDS and FreNAQ-T scores were also higher than that of male engineers (p = 0.005, 0.005, 0.006 and 0.016, respectively). FAI, VAS, NPDS, NBQ and FreNAQ-T were found to be correlated with each other (p < 0.05). A statistically significant contribution to the regression model was observed for the variables gender, daily duration of computer use, neck pain at rest, and NBQ (p = 0.043, p = 0.043, p = 0.031 and p = 0.003, respectively). NBQ was identified as the most influential variable in this model, followed by neck pain at rest. Conclusions Temporomandibular disorders are common among desk-bound engineers and are associated with neck pain, disability, and neck awareness. For this reason, it is important to take preventive and protective ergonomic approaches at the personal and institutional levels in desk-bound engineers.

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KELUHAN KELELAHAN MATA PADA PEKERJA KANTOR X KARANGANYAR

Office workers X Karanganyar are computer users, with an average duration of computer use in a day of more than 4 hours. The average worker has been working for more than three years and is still exposed to lighting intensity that is less than standard (&lt; 300 lux) with an eighthour workday, putting them at risk of experiencing eye fatigue. This study aims to determine the relationship between lighting intensity, working period, and duration of computer use with complaints of eye fatigue in Karanganyar X Office workers. This study uses an analytical observational method with a cross-sectional approach. The research population was 80 people. The sampling technique used is purposive sampling with criteria of age 50 and working on a computer for at least 2 hours continuously, and the research sample is 45 people. Measurement of lighting intensity using a Lux meter and eye fatigue using a Visual FatigueIndex (VFI) questionnaire. The results of the bivariate analysis with Somers'd showed that there was a relationship between lighting intensity and complaints of eye fatigue (p-value = 0.030, r = 0.333), there was a relationship between years of service and complaints of eye fatigue (p-value = 0.003, r = 0.457), and there is a relationship between the duration of computer use and complaints of eye fatigue (p-value = 0.028, r = 0.326). To reduce eye fatigue, it can be done by setting up the layout of the workplace, taking breaks in between work, and getting regular eye health checks.

Computer Vision Syndrome: Prevalence and Associated Risk Factors Among Computer-Using Bank Workers in Pakistan

The aim of this study was to investigate the prevalence of symptoms of computer vision syndrome (CVS) and identify its associated risk factors among computer-using bank workers in Pakistan. This cross-sectional study was conducted on computer-using bank workers. The data collection procedure included a self-administered questionnaire and comprehensive ocular health examination. The prevalence of CVS and its associated risk factors were investigated. The chi-square test was used to study the significance of the association of CVS with potential risk factors. Of 127 participants, 95 (74.8%) were men. Most of the participants (n=53; 41.7%) were in the 30-40 years age group. A total of 101 participants (79.5%) reported any ocular symptom, with burning eyes being the most frequent ocular symptom (77.2%). General body fatigue was the most common non-ocular symptom of CVS (92.9%), followed by headache (83.5%). Out of 127 participants, 71 men and 30 women had some degree of CVS. Female participants had significantly higher risk of CVS than male participants (p=0.01). Total duration of computer use per day and duration of uninterrupted computer use were significantly associated with the occurrence of CVS (p=0.001 and p=0.008, respectively). No significant association was found between CVS and distance from computer screen (p=0.89), frequency of breaks (p=0.18), or font size (p=0.12). A high prevalence of CVS-related symptoms was observed among computer-using bank workers. Non-ocular symptoms associated with computer use were more common than ocular symptoms (92.9% vs. 77.2%).

Factors Related To Eye Fatigue In Computer Users In The Regional Office Of The Ministry Of Religious Affairs Riau Province

Eye fatigue is a strain in the eyes caused by a long-term disturbance of the sense of vision which is usually accompanied by an uncomfortable viewing condition. Based on interviews with 8 employees who work using computers daily, they generally work &gt; 2 hours per day in front of the computer, experiencing headaches, pain in the eye muscles and blurry eyes. The purpose of this study was to determine the relationship between employee characteristics and work devices with eye fatigue in computer users. This study is a quantitative analytical study using a cross-sectional study design, with respondents of employees using computers at the Regional Office of the Ministry of Religious Affairs of Riau Province. The total sample in the study was 71 employees. The sampling technique is simple random sampling. The measuring instruments used are questionnaires, and measurements. The analysis used is univariate and bivariate with Chi-square statistical test. The results showed that there was a significant relationship between refractive abnormalities (Pvalue=0.011, OR value=7.636), computer use duration (Pvalue=0.041, OR value=8.769), eye visibility on the monitor screen (Pvalue=0.007, OR value=16.792) with eye fatigue. The results showed no significant relationship between length of service (Pvalue= 0.231, OR value=3.426) and eye fatigue. So there is a significant association between refractive abnormalities, the duration of computer use and the visibility of the eyes on the monitor screen against eye fatigue.

Gambaran Gejala Computer Vision Syndrome Pada Mahasiswa Fakultas Kedokteran Universitas HKBP Nommensen MedanTahun 2019/2020

Background: The use of computers among students is now a necessary, especially for medical students both study and entertainment. This situation can increase the risk of Computer Vision Syndrome (CVS). Computer Vision Syndrome (CVS) is a bunch of symptoms on eye and vision-related problems by prolonged use of computers (such as tablets, e-readers, smartphones, etc.).&#x0D; Objective: This study aimed to find out the representation of CVS symptoms experienced by medical students in Medical Faculty of Universitas HKBP Nommensen Medan.&#x0D; Methods: This study is an observational descriptive with cross sectional design. The subjects were 270 students of Medical Faculty Universitas HKBP Nommensen Medan, was elected by total sampling technique due to inclusion and exclusion criteria. The instrument of this study was a questionnaire consist of 30 questions.&#x0D; Results: The results showed that the most common symptoms of CVS experienced by students on Medical Faculty of Universitas HKBP Nommensen were sensitivity to light as many as 219 people (81.1%), neck and back pain as many as 214 people (79.3%) and eye strain as many as 210 people (77.8%). The maximum duration of computer use by students of Medical Faculty of Universitas HKBP Nommensen Medan is &gt;4 hours (90.4%).&#x0D; Conclusion: In this study was found that the most experienced symptom of CVS was light sensitivity. Based on the severity, CVS mild symptoms experienced are dry eye and irritation, moderate on eye strain, and severe on light sensitivity.

Increasing participation in computer activities using eye-gaze assistive technology for children with complex needs

Purpose Eye-gaze assistive technology offers children with severe motor and communication difficulties the opportunity to access and control a computer through eye movements. The aim of this study was to examine the impact of eye-gaze assistive technology intervention on participation in computer activities and technology usability among children with complex needs in Taiwan. Materials and methods This study involved a multiple baseline design across individuals. The participants were four children aged three to six years with severe motor and communication difficulties and low eye-control skills. The six-month intervention consisted of two collaborative team meetings and 12 individual supports to facilitate the use of eye-gaze assistive technology at home or in educational environments. Participation in computer activities (diversity, frequency, and duration) was repeatedly measured through a computer use diary. Other outcomes included assessments of goal achievements and parents/teachers’ ratings on children’s performance in computer activities. Results The young children increased the diversity of their computer activities and their frequency and duration of computer use from baseline to the intervention phase. The children attained six of eight predefined goals related to play, communication, and school learning. Parents and teachers perceived the children’s changes in performance as meaningful. Conclusion This study strengthens the evidence that eye-gaze assistive technology is useful in everyday contexts for children with complex needs in Taiwan. The findings add knowledge that children with weak eye-control skills increased participation in computer activities as a result of the eye-gaze assistive technology. Implications for Rehabilitation Eye-gaze assistive technology (EGAT) as an access method to control a computer can provide opportunities for children with severe motor and communication difficulties to participate in computer activities. Children with severe motor and communication difficulties and low eye-control skills with sufficient practice can learn to use EGAT for communication and learning, with support from stakeholders and collaborative service. EGAT could be introduced for children with complex needs at early ages as a means of using computers for play, communication, and school learning, which could be helpful for later education and learning. Stakeholders in educational environments could include EGAT in educational computer systems so that pupils with severe motor and communication difficulties could interact with a computer, thereby enhancing their engagement and learning.

Pediatric screen exposure and school related headache disability.

Prolonged screen exposure is often cited as a trigger for pediatric headache. We present initial findings evaluating the association between adolescent screen use type, duration, and school disability. New patients aged 12-17 years presenting to a headache clinic were screened and surveyed regarding headache characteristics, behavioral habits, school attendance, and screen utilization. 99 adolescents (29 M, 70 F) with average age 14.8 years and average headache frequency of 17 days per month completed the survey. Patients missed an average of five full days and three partial days of school due to headaches over the 90 days prior to survey completion.No statistically significant correlation was found between type or duration of screen exposure and monthly headache frequency, school attendance, or school functioning. A small positive association was seen between increasing duration of computer use, total hours screen use, and school absenteeism. While most adolescents reported prolonged screen use (58.6%) and luminosity (64.6%) worsened headaches, no statistical difference was seen in average number of headache days per month. Average monthly headache frequency in an adolescent population was not significantly correlated with type or duration of screen exposure. Further studies are needed to elucidate how screen utilization impacts school related headache disability.

FACTOR ANALYSIS OF EYE FAILURE COMPLAINTS ON COMPUTER USING WORKERS IN THE K3L ROOM PT PLN (PERSERO) UPK NAGAN RAYA

Eye fatigue is an eye discomfort caused by excessive use of the sense of sight when working for long periods of time accompanied by uncomfortable viewing conditions caused by poor lighting. The purpose of this study was to determine and analyze the factors associated with eye fatigue in computer users. In this study the authors conducted research using descriptive qualitative methods, namely by conducting interviews and observations. The data used are primary data obtained from interviews and observations of 5 workers in the K3L room of PT PLN (Persero) UPK Nagan Raya and secondary data obtained by collecting all data related to the study. The results show that among the variables of age, duration of computer use, monitor distance, eye rest and lighting, there are two factors that can be said to be the cause of eye fatigue, namely the monitor distance and lighting variables. The conclusion is that there is a relationship between monitor distance and lighting with eye fatigue, but there is no relationship between age, duration of computer use and eye rest in computer users. It is recommended for companies to provide training to workers on preventing eye fatigue.

Self-reported Computer Vision Syndrome Among Bank Workers in Onitsha, Nigeria.

This study aimed to determine the awareness, prevalence, and pattern of ocular problems related to computer [computer vision syndrome (CVS)] use among bank workers in Onitsha, Nigeria. This was a cross-sectional study involving bank staff in Onitsha metropolis who were selected using a simple random technique. A validated CVS questionnaire was used to obtain information on sociodemographic characteristics, frequency and duration of computer use, eye symptoms, and preventive measures. There were 150 bank staff selected: 81 (54.0%) females and 69 (46.0%) males, aged 20-49 years (mean= 33.2 ± 7.2 years). All participants used computer daily. Daily computer use was 1-16 h. Seventy-nine (53.4%) workers were aware of CVS; 127 (84.7%) used preventive measures which included anti-reflective eye glasses (12.7%) and computer screen guard (22.3%). Symptoms with computer use were reported by 103 (68.7%) participants. The prevalence of CVS was 29.3%. Headache (45.4%), itching (38.6%), photophobia (38.0%), visual blur (37.3%), and eye pains (28.0%) were the commonest symptoms. There was a trend towards CVS being commoner in female gender (P = 0.059), with prolonged computer use, and failure to use preventive measures. CVS is 6-fold more likely to occur in individuals who wear corrective lenses. CVS is common among the bank workers studied. Use of protective measures that minimize exposure to electromagnetic force radiation from computer screens is suggested. A computer screen guard is recommended as a minimum preventive measure for long-term computer users.