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

2021 ◽  
Vol 8 (2) ◽  
pp. 6-9
Author(s):  
Bibek Raj Parajuli ◽  
Sanjib Koirala ◽  
Abishek Bajracharya
Keyword(s):  
Computer Vision ◽  
Prolonged Exposure ◽  
Virus Disease ◽  
Work Productivity ◽  
Western World ◽  
Dry Eyes ◽  
Online Study ◽  
Work From Home ◽  
Computer Vision Syndrome ◽  
Ocular Discomfort

Dear Editor, Computer vision syndrome (CVS) is defined as complex eye discomfort and vision problems associated with prolonged exposure to  digital screens.1 Symptoms include headache, dry eyes, eye strain, blurring of vision, and ocular discomfort after prolonged exposure to light from computers.2,3 Blue light filtering lenses can be used to minimize CVS.2 Globally, around 70 million workers are at risk for computer vision syndrome which reduces the quality of life and work productivity.1 In the western world, use of computers, for both vocational and non-vocational activities, is almost mandatory.1 In today's COVID-19 (Corona-Virus Disease - 2019) era, use of computers and other digital screen devices is surging in Nepal as well, especially for online study and work from home  to control the further spread of coronavirus. Moreover, the lockdown and shutdown done for the virus control by minimizing human gathering increase the demand for virtual learning and working through the online medium.

scholarly journals A cross sectional study to assess the prevalence and associated factors of computer vision syndrome among engineering students of Hyderabad, Telangana

2018 ◽  
Vol 6 (1) ◽  
pp. 308
Author(s):  
Anupama Pulla ◽  
Asma . ◽  
Nanduri Samyuktha ◽  
Soumya Kasubagula ◽  
Aishwarya Kataih ◽  
...  
Keyword(s):  
Computer Vision ◽  
Engineering Students ◽  
Prolonged Exposure ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Study Population ◽  
Near Work

Background: Computer vision syndrome is a complex of eye and vision problems related to near work which are experienced due to prolonged computer use. Computers demand near work, for longer duration which increases discomfort of eye and prolonged exposure to the discomfort leads to a cascade of symptoms that can be referred as computer vision syndrome. The aims and objectives of the study were to determine the prevalence of computer vision syndrome among engineering students of Hyderabad, Telangana and to determine the factors related to computer vision syndrome among study population.Methods: A cross sectional study was carried out from March to June 2017 among students of an engineering college in Hyderabad, Telangana. A convenient sample of 300 students was taken and a predesigned, pre tested questionnaire was used to obtain information.Results: Majority of study population were males (56.3%). Around 75.1% of study population were using all the electronic gadgets like computers, laptops and smartphones. The prevalence of computer vision syndrome was found to be 60.3%. Around 46.7% of study population viewed the screen from a distance of 22-40 centimeters.Conclusions: As students pursuing engineering stream are the future IT and Computer software engineers, preventive strategies adopted by them will significantly decrease the burden of computer vision syndrome and improve productivity. In this study a significant proportion of the engineering students were found to be having vision problems, which emphasizes the need to adopt preventive measures to avoid computer vision syndrome. 

scholarly journals Knowledge about Computer Vision Syndrome among Bank Workers in Gondar City, Northwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Getasew Alemu Mersha ◽  
Mohammed Seid Hussen ◽  
Gizachew Tilahun Belete ◽  
Melkamu Temeselew Tegene
Keyword(s):  
Computer Vision ◽  
Prolonged Exposure ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Northwest Ethiopia ◽  
Good Knowledge ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Study Participants

Background. Globally, computer vision syndrome is the most common eye problem which is associated with prolonged exposure to a computer. It has a great socioeconomic impact on the users due to its effect on job performance. Recently, many people in the world, including our country Ethiopia, especially bank workers, are spending most of their time in front of a computer screen to facilitate their work. Since it is assumed that knowledge is pertinent to prevent computer vision syndrome, this study was aimed at assessing the understanding of bank workers towards computer vision syndrome. Methods. An institution-based cross-sectional study was conducted on 248 bank workers. The study participants were selected by using a simple random sampling technique. A self-administered questionnaire was used to collect the data from the bank workers. The data was entered and analyzed by SPSS version 21 software. Results. A total of 248 bank workers completed the questionnaire fully, which was a response rate of 93.5% (n=234). Among them, 155 (66.20%) were males and the majority of the respondents were in the age group of 20-39 years (223, 95.3%). The study revealed that from 234 respondents, 211 (90.20%) were aware of computer vision syndrome, while 26.9% of them had a good knowledge about the disorder. Majority of the respondents (40, 17.1%) cited mass media as a source of information. Conclusion. Even though the majority of computer-using bank workers heard of computer vision syndrome, it was recognized that only a small portion of the participants had good knowledge.

Correlation between the exposure time to mobile devices and the prevalence of evaporative dry eyes as one of the symptoms of computer vision syndrome among Senior High School students in East Java, Indonesia

2021 ◽  
Vol 32 (4) ◽  
pp. 541-545
Author(s):  
Rozalina Loebis ◽  
Bambang Subakti Zulkarnain ◽  
Nadhifa Zahra
Keyword(s):  
High School ◽  
Computer Vision ◽  
High School Students ◽  
Mobile Devices ◽  
Exposure Time ◽  
Young Age ◽  
School Students ◽  
Dry Eyes ◽  
Computer Vision Syndrome ◽  
Chi Square Analysis

Abstract Objectives Computer vision syndrome (CVS) is a group of various eye and vision-related problems from prolonged use of mobile devices. Symptoms include dry eyes, blurred vision, eye strain, headache, and also neck and shoulder pain. This study was carried out to analyze the correlation between the exposure time of High Energy Visible (HEV) from mobile devices’ use and the prevalence of evaporative dry eyes in young age. Methods An observational cross-sectional study was done using quota sampling method for 100 High School students. Data collection was performed using questionnaire to identify daily use of mobile devices (hours) and duration for using mobile devices (years). A classification was determined as mild, moderate, and heavy HEV exposure. Evaporative dry eyes were diagnosed using tear break-up time test (TBUT) of less than 10 s for both eyes. Results Ninety-four students participated in this study. A total of 82 students (87.2%) experienced evaporative dry eyes. There were 11 students (11.7%) who had dry eyes with mild exposure, 18 students (19.1%) had dry eyes with moderate exposure, and 53 students (56.4%) had dry eyes with heavy exposure. A chi square analysis showed all HEV exposures have similar risk to the prevalence of dry eyes among High School students (p<0.05). Conclusions The risk of developing evaporative dry eyes, as one of the symptoms of CVS in young age with normal tear production, could be induced even with minimal exposure to mobile devices.

scholarly journals Knowledge, Attitude and practice of Computer Vision Syndrome among medical students and its impact on ocular morbidity

2018 ◽  
Vol 16 (3) ◽  
pp. 291-296
Author(s):  
Ranju Kharel (Sitaula) ◽  
Anadi Khatri
Keyword(s):  
Computer Vision ◽  
Medical Students ◽  
Institute Of Medicine ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Dry Eyes ◽  
Attitude And Practice ◽  
Computer Vision Syndrome ◽  
Ocular Morbidity ◽  
Knowledge Attitude And Practice

Background: Computer vision syndrome is a common global problem among millions of computer users including medical students. Medical students are preferring soft copies rather than textbooks. The aim of this study was to assess the knowledge, attitude, and practice of MBBS students about Computer vision syndrome, and to identify its ocular morbidity among them.Methods: A descriptive cross-sectional survey based on the questionnaire was conducted among 1st- 4th year MBBS students of the Institute of Medicine and 80 students underwent detailed ocular evaluation. Results: A complete survey response was received from 236 students out of 299 students (Response Rate 80%). The mean age of MBBS students was 21.38 years ± 1.328 years and the range were 19-22 years; 76.2% were male and 23.8% were female. The majority (37.2%) spent 2-3 hours/day on the computer and had a higher risk (p-0.0001) of developing Computer vision syndrome. About 69.5% students used a computer at the level of the eye but there was a significant reduction in Computer vision syndrome (p-0.0001) among those who had computer screen below the eye level. Association between taking breaks (p-0.0001) and frequent blinking (p-0.0411) during computer use and relief of symptoms was significant. Only 22.9% had pre-existing knowledge of Computer vision syndrome and only 25.5% of them were practicing the ideal viewing distance.Among 80 medical students randomly selected for detail eye examinations (63.7% male;36.2% female), the prevalence of Computer vision syndrome  was 71.6%. The commonest ocular complaint was a headache (50%) and dry eyes (45%). Myopia was the commonest refractive error (31.2%) and the orthoptic problem was prevalent among 17.5% students.Conclusions: The survey showed that Computer vision syndrome is relevant among MBBS students but the knowledge, attitude, and practice of Computer vision syndrome among them is poor.Keywords: Attitude; computer vision syndrome; eyestrain; headache; knowledge; practice; medical students.

scholarly journals The Effect of 20-20-20 Rule Dissemination and Artificial Tears Administration in High School Students Diagnosed with Computer Vision Syndrome

2021 ◽  
Vol 7 (1) ◽  
pp. 24
Author(s):  
Bambang Subakti Zulkarnain ◽  
Aniek Setiya Budiyatin ◽  
Toetik Aryani ◽  
Rozalina Loebis
Keyword(s):  
High School ◽  
Computer Vision ◽  
High School Students ◽  
Artificial Tears ◽  
School Students ◽  
Dry Eyes ◽  
Academic Activities ◽  
Computer Vision Syndrome ◽  
Post Test ◽  
Time Test

Backgrounds: Computers and gadgets are modern tools for assisting Senior High School students’ work. However, using gadgets more than 2 hours a day may cause computer vision syndrome (CVS), which can interfere with academic activities. CVS main symptom is dry eyes. Objectives: CVS could be prevented by applying the 20-20-20 rule and artificial tears. Results: A total of 100 students from two public high schools in Kediri with 50 students from each school were selected for this community service. All students diagnosed with CVS participated in the dissemination of 20-20-20 rule and artificial tear administration. The pre-test and post-test scores, the Tear Break Up Time Test (TBUT) and the Ocular Disease Surface Index (OSDI) were measured within two weeks. TBUT and OSDI are parameters for measuring dry eye. Likewise, interviews were conducted to assess the adherence to the 20-20-20 rule and artificial tea administration. The results showed the knowledge level increased (p <0.0001). Most students understood 20-20-20 rule and how to administer artificial tears correctly. However, the adherence to both methods was approximately 50%. There was an improvement in the TBUT (p <0.0001) for dry eyes but not for OSDI (p> 0.05). Conclusions: Applying the 20-20-20 rule and artificial tears could be used for CVS treatment. 

scholarly journals The main subjective manifestations of computer vision syndrome

2021 ◽  
Vol 14 (3) ◽  
pp. 83-87
Author(s):  
I. G. Ovechkin ◽  
M. E. Konovalov ◽  
O. G. Leksunov ◽  
E. I. Kovrigina ◽  
V. E. Yudin
Keyword(s):  
Computer Vision ◽  
Standard Technique ◽  
Professional Activity ◽  
Dry Eyes ◽  
Body Sensation ◽  
Computer Vision Syndrome ◽  
Electronic Display ◽  
Intensive Work

Purpose: to analyze the main subjective manifestations of computer vision syndrome (CVS).Materials and methods. We examined 100 patients aged 24–36, whose daily professional activity (at least for 2 years) involved visual-intensive work associated with electronic display systems (at least 4 hours a day) and requiring a sufficiently high responsibility level. All patients had complaints characteristic of asthenopia in CVS, indicating the stages of subcompensation or decompensation (in accordance with the recommendations of the Expert Council for Accommodation and Refraction of All-Russian Public Organization “Association of Ophthalmologists”). Each patient underwent an individual interview which was conducted according to the standard technique in order to identify the range of complaints that arise from long-term work with a computer.Results. The most common ocular (visual) subjective manifestations included the foreign body sensation, “sand” and itching in the eye; dry eyes; tiredness of vision; redness of the eyeballs; tension of eye muscles; “cramps”, burning in the eye — (which was mentioned by 100% of the testees). Other manifestations were somatic (headache — 89%; pain in the neck and the back — 79%), professional (patients wishing to interrupt work or take a break — 83%; periodic loss of visual concentration — 77%) and medico-psychological (the fear of vision deterioration — 65%).Conclusion. The established subjective manifestations improve the prospects of CVS diagnostics and can serve as basis for assessing the quality of life of patients engaged in vision intensive work.

scholarly journals Causes of ocular discomfort in patients of computer vision syndrome coming to a tertiary care centre

2019 ◽  
Vol 16 (3) ◽  
pp. 153-159
Author(s):  
Erum Shahid ◽  
Uzma Fasih ◽  
Asad Raza Jaffery ◽  
Arshad Shaikh
Keyword(s):  
Computer Vision ◽  
Tertiary Care ◽  
Tear Film ◽  
P Value ◽  
Time Data ◽  
Tertiary Care Centre ◽  
Ocular Surgery ◽  
Computer Vision Syndrome ◽  
Ocular Discomfort ◽  
Breakup Time

Aim: To document causes of ocular discomfort in patients with computer vision syndrome. Materials and methods: This study included 150 patients with computer vision syndrome who presented in the Eye Out Patient Department of Abbassi Shaheed Hospital. It was a descriptive cross-sectional study with consecutive sampling technique starting from January 2016 until July 2016. All the patients were above 18 years and working at least three hours per day during the last 1 year. Patients diagnosed with ocular diseases, neurological diseases, using topical or systemic medications, who had ocular surgery and systemic diseases causing dry eyes, who did not give consent, and contact lens users were excluded. Ocular examination was done including refractive errors, slit lamp examination, and tear film breakup time. Data was collected and analysed on Statistical Package for Social Sciences (SPSS) version 21. Results: This study had 150 individuals, of which 115 (76.2%) were males and 35 (23.2%) were females. Mean age was 32.3 ± 8.8 SD. The most frequent complaint was eye strain in 123 (81.5 %) individuals, followed by blurred vision in 94 (62.3%) individuals; the least common was diplopia in 13 (8.6%) individuals. Mean computer daily use was 5.96 ± 2.819 SD hours and duration of computer use was 10.13 ± 6.371 SD years. Tear film breakup time was less than 10 seconds in 63 (42%) individuals. Statistically significant P value 0.003 was seen between tear film breakup time and daily use in hours. Conclusion: A frequent cause of ocular discomfort in patients with computer vision syndrome is decreased tear film break up time. Another important cause is uncorrected refractive error, the most common of which is myopia, which should be addressed without delay to reduce ocular discomfort.

Study on Knowledge and Prevalence of Computer Vision Syndrome among Computer Operators in Nobel Medical College Teaching Hospital, Biratnagar, Nepal

2020 ◽  
Vol 9 (2) ◽  
pp. 45-49
Author(s):  
Pramod Sharma Gautam ◽  
Uday Chandra Prakash ◽  
Subreena Dangol
Keyword(s):  
Computer Vision ◽  
Teaching Hospital ◽  
Human Life ◽  
College Teaching ◽  
Extended Period ◽  
Visual Display ◽  
Work Place ◽  
Medical College ◽  
Computer Vision Syndrome ◽  
Department Of Ophthalmology

Background: The eye and vision related problems that results from continuous use of computers and other visual display terminals for extended period of time leads to computer vision syndrome. Due to rapid digitalization in human life, the risk of developing it has also increased in many folds. So, with an aim of determining the prevalence and level of awareness of computer vision syndrome among computer users along with their attitude and practices to prevent it, this study was conducted in the office employees who use computer for a considerable period of time. Materials and Methods: A hospital based observational descriptive study was conducted in the out-patient department of Ophthalmology in Nobel Medical College and Teaching Hospital, Biratnagar, where 105 employees working in different work stations of same institution were enrolled. A questionnaire and the clinical findings were used to collect data. Results: About 80% of the employees were using computer for about (8-11) hours per day. Prevalence of computer vision syndrome noted was (92.4%) with low level of knowledge (85.7%) about it. About 45% of them wore glasses for their refractive errors but attitude and practices in work place to prevent the bad effects of using visual display terminals were found to be lacking (53.3%). Burning sensation in the eye, headache, ocular irritation and itching and neck, shoulder or back pain were the common symptoms. Around (60-70)% of the eyes tested positive for dry eye. Conclusion: Lack of awareness of computer vision syndrome and lack of personal protective measures were associated with its high level of prevalence.  

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