scholarly journals Computer assisted instruction during quarantine and computer vision syndrome

2020 ◽  
Author(s):  
Anahita Hashempoor
Keyword(s):  
Computer Vision ◽  
Online Education ◽  
Computer Use ◽  
Musculoskeletal Symptoms ◽  
Computer Assisted ◽  
Blurred Vision ◽  
Burning Pain ◽  
Ocular Symptoms ◽  
Computer Vision Syndrome ◽  
Computer Monitors

Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the process of online education courses and the use of mobile phones, tablets، computer monitors and e-readers is increasing day by day. CVS not only reduces study and learning quality and productivity of the students, but it also has a high economic burden by increasing musculoskeletal injuries and ophthalmologist visits due to visual and ocular symptoms. With the expansion of online education programs, it is necessary for students to be aware of these complications, as well as to teach them appropriate strategies to control and prevent these harmful effects of computers.

scholarly journals PREVALENCE OF COMPUTER VISION SYNDROME AMONG UNDERGRADUATE PHYSICAL THERAPY STUDENTS

2021 ◽  
Vol 10 (2) ◽  
pp. 63-68
Author(s):  
Farah Deeba
Keyword(s):  
Computer Vision ◽  
Physical Therapy ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Blurred Vision ◽  
Visual Rehabilitation ◽  
Cross Sectional ◽  
Ocular Symptoms ◽  
Computer Vision Syndrome ◽  
Physical Therapy Student

BACKGROUND AND AIM Computers and other digital screens have become an integral part of our life. It raises various ocular problems in the user due to excessive screen time, this study aims to determine the frequency of computer vision syndrome (CVS) in population of under graduate physical therapy student. METHODOLOGY This was cross-sectional study conducted at Ziauddin College of Rehabilitation Sciences; Karachi during June 2019 to September 2020.A total number of 340 candidates of age 22 years ± 1.8 including both genders participated in this study. A questionnaire was designed to collect data which was statistically analyzed on SPSS version 20. Whereas descriptive data was calculated as mean, median, mode and standard deviation using graphical representations. RESULTS 88.5% of the students used mobile phones for study purpose out of which 35.3% use it for 4-7 hour and 33% use for 7 to 10 hours a day. The ocular symptoms that students face was burning of eyes (40%), tearing (55%), eye redness (45.3%), diplopia 31.8%, blurred vision (42.9%), eye dryness (23.8%), while extra ocular symptom that was noticed in the study included headache too was (67.9%). CONCLUSION This study showed that most of the students were found to have a CVS thus screen time guide lines and visual rehabilitation must established.

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 Effects of light emissions from LCD monitors on public health

2014 ◽  
Author(s):  
Wilson Yu ◽  
BCIT School of Health Sciences, Environmental Health ◽  
Bobby Sidhu ◽  
Abderrachid Zitouni
Keyword(s):  
Computer Use ◽  
Luminance Level ◽  
The Other ◽  
P Value ◽  
Blurred Vision ◽  
Healthy Environment ◽  
Computer Vision Syndrome ◽  
Computer Monitors ◽  
Recommended Level ◽  
Room Lighting

  Background: Evidence suggests that exposure to prolonged use of computer monitors may lead to eye discomforts such as eyestrain, blurred vision, headaches, as well as computer vision syndrome. With the increase of internet and computer use at school and work, it raises a serious concern on whether or not the users are affected negatively. Objectives: The following study focuses on estimating the risk of using computers at the British Columbia Technology of Institute (BCIT) laboratories to determine if there is sufficient room lighting (illuminance) and monitor brightness (luminance) to ensure the safety of students at the school. Methods: Illuminance and luminance were both measured by means of a calibrated Unfors Xi light detector connected to a base unit. Several areas of each environment and monitor were measured and average values were taken to ensure that the data was reliable. The data were compared to applicable standards to determine if room lighting and computer brightness at BCIT were appropriate for safe student use. Results: The average illuminance was measured to be 405.4 Lux when the recommended level is 500 Lux. The results are considered statistically significant (p-value = 2x10-6). On the other hand, the luminance measurements averaged a reading of 94.6 cd/cm2 when the recommended minimum luminance level is 80 cd/cm2 (p-value = 0.99964). Discussion: The collected data show that the illuminance inside the BCIT laboratories where testing was conducted is not sufficient while the luminance of computer screens was found acceptable. Conclusion: The measurement of the illuminance inside BCIT laboratories showed that room lighting was insufficient and alternations of the monitor's brightness were made to compensate for insufficient lighting. It is recommended to increase room lighting in the tested laboratories in order to have all areas of the laboratory sufficiently lit at all times. This is to ensure that all students at BCIT are provided with a safe and healthy environment for computer use.  

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 Design Guidelines of Computer-based Intervention for Computer Vision Syndrome: User Workshop and Deployment Study (Preprint)

2020 ◽  
Author(s):  
Youjin Hwang ◽  
Donghoon Shin ◽  
Jinsu Eun ◽  
Bongwon Suh ◽  
Joonhwan Lee
Keyword(s):  
Computer Vision ◽  
User Study ◽  
User Participation ◽  
Design Guidelines ◽  
Interface Element ◽  
Blurred Vision ◽  
Interface Elements ◽  
Computer Vision Syndrome ◽  
In The Wild ◽  
Computer Based

BACKGROUND Prolonged time of computer use increased the prevalence of ocular problems including eyestrain, tired eyes, irritation, redness, blurred vision, and double vision, collectively referred to as computer vision syndrome. Approximately 70 percent of computer users have vision-related problems. To design the effective screen intervention for preventing or improving computer vision syndrome, we must understand the effective interfaces of computer-based intervention (CBI). OBJECTIVE In this study, we aim to explore the interface elements of computer-based intervention for computer vision syndrome to set design guidelines based on pros/cons of each interface element. METHODS We conducted iterative user study to achieve our research goal. First, we conducted workshop to evaluate overall interface elements that are included in the previous systems for computer vision syndrome (N=7). Second, we designed and deployed our prototype LiquidEye with the multiple interface options to the users in the wild (N=11). Participants used LiquidEye for 14 days and during these period, we collected participants’ daily log (N=680). Also, we conducted pre and post survey and post-hoc interviews to explore how each interface element affects system acceptability. RESULTS We have collected 19 interface elements for designing intervention system for CVS from the workshop, then, deployed our first prototype LiquidEye. After deployment of LiquidEye, we conducted multiple regression analysis with the user data log to analyze significant elements affecting user participation of the LiquidEye. The significant elements include instruction page of eye rest strategy (P<.05), goal setting of resting period (P<.01), compliment page after user complete the resting (P<.0.001), middle-size popup window(P<.05), and symptom-like visual affect that alarms eye resting time (P<.0.005). CONCLUSIONS We suggest design implications to consider when designing CBI for computer vision syndrome. The sophisticated design of the customizing interface can make it possible for users to use the system more interactively which results in higher engagement and management of eye condition. There are important technical challenges still to address, but given the fact that this study has been able to sort out various factors related to computer-based intervention, it is expected to contribute greatly to the research of various CBI designs in the future.

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

Prevalence and Predictors of Computer Vision Syndrome among Secretary Employees working in Jimma University, Southwest Ethiopia: A Cross Sectional Study at Jimma University

2019 ◽  
Author(s):  
Mekonnin Tesfa ◽  
Mohammed Ibrahim Sadik ◽  
Yohannes Markos ◽  
Leyla Temam Aleye
Keyword(s):  
Computer Vision ◽  
Cross Sectional Study ◽  
Work Place ◽  
Multivariable Logistic Regression Analysis ◽  
Prevention Measures ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ocular Symptoms ◽  
Computer Vision Syndrome ◽  
Jimma University

Abstract Background Computer vision syndrome (CVS) is a group of ocular and extra-ocular symptoms experienced in relation to computer use. Nearly 60 million people suffer from CVS globally with a million of new cases occurring each year. The discomfort associated with this disorder result in increased error rate, reduced job satisfaction and work productivity. The problem has become a workplace concern among computer users especially in those occupationally exposed. The magnitude of CVS and its determinants are not well known in Ethiopia. Therefore, the aim of this study was to determine prevalence and predictors of computer vision syndrome among secretaries working in Jimma University, Ethiopia. Methods An institution based cross-sectional study was conducted on a total of 217 secretary employees working in Jimma University. An interviewer administered pre-tested structured questionnaire was used to collect data. Collected data was analyzed using SPSS version 20.0. Multivariable logistic regression analysis was done to identify the independent predictors for CVS. Results A total of 217 secretaries were included in the study and all of them were females. The prevalence of CVS among study participants was 75.6%. Blurred vision 88(40.6%), extra-ocular symptoms 75(34.6%), eyestrain 66(30.4%) and headache 63(29.0%) were the most commonly reported symptoms of CVS. Factors significantly associated with CVS were duration of occupation (AOR=3.165; 95% CI=1.16, 8.57), average time spent on computer per day (AOR=3.163; 95% CI=1.52, 6.59), computer brightness adjustments (AOR=2.81; 95% CI=1.22, 6.47) and awareness on CVS and its prevention measures (AOR=5.385; 95% CI= 2.55, 11.35). Conclusion This study revealed that CVS was highly prevalent among secretary employees working in Jimma University. Duration of occupation, average time spent on computer per day, awareness about CVS and its prevention measures and adjustments of computer brightness were the independent factors associated with computer vision syndrome. Secretaries should aware that CVS is a problem that can be prevented by proper use of computer at work place and therefore a means to increase their awareness should be considered.

scholarly journals AN OPEN LABELLED RANDOMISED CLINICAL TRIAL ON EFFICACY OF HARITAKI MODAKA AND ABHIJEET TAILA IN THE MANAGEMENT OF COMPUTER VISION SYNDROME

2020 ◽  
pp. 15-20
Author(s):  
Akanksha Thakur ◽  
Manjusha Rajagopala ◽  
Narayan Bavalatti ◽  
Pankaj Kundal
Keyword(s):  
Computer Vision ◽  
Medical Science ◽  
Randomised Clinical Trial ◽  
Progressive Increase ◽  
Blurred Vision ◽  
Stress Injury ◽  
Computer Vision Syndrome ◽  
Group A ◽  
Systemic Symptoms ◽  
Group B

Computer Vision Syndrome is the new nomenclature to the visual, ocular, and systemic symptoms arising due to the long time and improper working on the computer. Computer Vision Syndrome is a repetitive strain disorder as defined by the American Optometric. With progressive increase in the usage of computers, the term Repeated Stress Injury has found a place in contemporary medical science. The ocular complaints experienced by computer users typically include eyestrain, eye fatigue, burning sensations, irritation, redness, blurred vision, and dry eyes, among others. This group of symptoms is called Asthenopia. The incidence of Computer Vision Syndrome is as high as 50% to 90% among the employees of computer occupation. The causes for the inefficiencies and the visual symptoms are a combination of individual visual problems and poor office ergonomics. Material & Methods: In this clinical study on CVS, 60 patients were registered from Shalakya tantra OPD, and all of them completed the treatment. In Group A, 30 patients were prescribed Abhijeet Taila for Pratimarsha Nasya and in Group B, 30 patients were prescribed Haritaki Modak tablets internally and Abhijeet Taila for Pratimarsha Nasya. Results: In total, 20% and 33.33% patients got completely cured in Group A and B respectively. Discussion: Both the drugs were effective in managing the condition, but it was observed they were more effective when given together. Multi-centric studies with larger sample size on the same drugs should be carried out to evaluate the effect of the drugs and, also so that the observations can be noted well and can be better suggested.

scholarly journals Computer vision syndrome: a study of knowledge and practices in university students

2013 ◽  
Vol 5 (2) ◽  
pp. 161-168 ◽  
Author(s):  
S Chandrasekhara Reddy ◽  
CK Low ◽  
YP Lim ◽  
LL Low ◽  
F Mardina ◽  
...  
Keyword(s):  
Computer Vision ◽  
University Students ◽  
Computer Use ◽  
Preventive Measures ◽  
Study Data ◽  
Survey Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Eye Symptoms ◽  
Continuous Use

Introduction: Computer vision syndrome (CVS) is a condition in which a person experiences one or more of eye symptoms as a result of prolonged working on a computer. Objectives: To determine the prevalence of CVS symptoms, knowledge and practices of computer use in students studying in different universities in Malaysia, and to evaluate the association of various factors in computer use with the occurrence of symptoms. Material and methods: In a cross sectional, questionnaire survey study, data was collected in college students regarding the demography, use of spectacles, duration of daily continuous use of computer, symptoms of CVS, preventive measures taken to reduce the symptoms, use of radiation filter on the computer screen, and lighting in the room. Results: A total of 795 students, aged between 18 and 25 years, from five universities in Malaysia were surveyed. The prevalence of symptoms of CVS (one or more) was found to be 89.9%; the most disturbing symptom was headache (19.7%) followed by eye strain (16.4%). Students who used computer for more than 2 hours per day experienced significantly more symptoms of CVS (p=0.0001). Looking at far objects in-between the work was significantly (p=0.0008) associated with less frequency of CVS symptoms. The use of radiation filter on the screen (p=0.6777) did not help in reducing the CVS symptoms. Conclusion: Ninety percent of university students in Malaysia experienced symptoms related to CVS, which was seen more often in those who used computer for more than 2 hours continuously per day. Nepal J Ophthalmol 2013; 5(10): 161-168 DOI: http://dx.doi.org/10.3126/nepjoph.v5i2.8707

scholarly journals Efficacy Of Triphala Ghrita Netratarpan in Computer Vision Syndrome

2018 ◽  
Vol 1 (01) ◽  
Author(s):  
Deepak Sawant
Keyword(s):  
Computer Vision ◽  
Tear Film ◽  
Treated Group ◽  
Young Generation ◽  
Blurred Vision ◽  
Body Sensation ◽  
Computer Vision Syndrome ◽  
Part Time ◽  
The Individual ◽  
Near Work

In the present era, the full computerization of a country is necessary for the progress. The present era can be defined as “Computer Age”. It has seems that the work at the computer is very intensive & most tiring therefore countries like Germany has included computer operational work in the list of the 40 most harmful trades for the health & restricted work at the computer should not exceed 50% of the working time. In the developing countries like India where the remuneration for the work is far from satisfactory & the young generation is aspiring for more material gains which necessitate them to work overtime or have part-time jobs in addition to their legitimate work. This situation adds up to the works with the computer which badly affects their health. Computer Vision Syndrome (CVS) is the complex of eye and vision problems related to near work which are experienced during or related to computer use. CVS is characterized by visual symptoms which result from interaction with a computer display or its environment. In most cases, symptoms occur because the visual demands of the task exceed the visual abilities of the individual to comfortably perform the task. In CVS following Signs & Symptoms occurs.they are Presence of excessive debris & mucous strands in the tear film., Reduced or absence of marginal tear strip.Lusterless ocular surface - xerosis.,Lid Dry & Rough touch. And Symptoms are Itching, Burning sensation, Blurred vision, Dryness of eyes, Redness of eyes, Pricking Pain. , Foreign body Sensation, Difficulty in opening & closing the lids.For the study, we have taken Triphala Ghrita Tarpan for 7 days in three consecutive months for 30 patients in treated group and in controlled group eye exercises given like palming, eye movements for 7days in three consecutive months for 30 patients.The results are very much satisfactory in the treated group as compared to the controlled group.The details will be given in detail in full research paper.

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