scholarly journals Uptake of conventional interventions, level of awareness and perception on computer vision syndrome: a cross-sectional study among University students, Kenya

2021 ◽  
Vol 6 (0) ◽  
pp. 1-9
Author(s):  
Shadrack Muma ◽  
Dickens Omondi Aduda ◽  
Patrick Ogola Onyango
Keyword(s):  
Computer Vision ◽  
University Students ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome

Accommodative and binocular disorders in preteens with computer vision syndrome: a cross‐sectional study

2020 ◽  
Author(s):  
Concepción De‐Hita‐Cantalejo ◽  
Ángel García‐Pérez ◽  
José‐María Sánchez‐González ◽  
Raúl Capote‐Puente ◽  
María Carmen Sánchez‐González
Keyword(s):  
Computer Vision ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome

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 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: Are Medical Students Exempted from it? -A Cross-sectional Study

2021 ◽  
pp. 18-28
Author(s):  
Rupali Maheshgaori ◽  
Parag Apte ◽  
Deepaswi Bhavsar ◽  
Gaurav Bramhabhatt ◽  
Prachi Bakre
Keyword(s):  
Computer Vision ◽  
Medical Students ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome

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 Awareness and prevalence on computer vision syndrome among medical students: A cross-sectional study

2021 ◽  
Vol 12 (9) ◽  
pp. 44-48
Author(s):  
Sughandha Garg ◽  
Debayan Mallik ◽  
Arun Kumar ◽  
Rajasri Chunder ◽  
Ajay Bhagoliwal
Keyword(s):  
Computer Vision ◽  
Medical Students ◽  
Computer Use ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
Computer Work ◽  
Sectional Study ◽  
College Hospital ◽  
Cross Sectional ◽  
Computer Vision Syndrome

Background: Computers have significantly impacted cognitive, social, physical and various other aspects of the modern daily lives of computer users, especially among internet users. Our life is inseparable from the internet, e.g., chatting, online shopping, gaming, video conferencing, and emailing. In the modern day, nearly every job is done sitting in front of a computer. Majority of the day is spent on the computer either working or for recreational purposes. Consequently, the effects of computer use on eyes and vision has increased too. This study will review the factors relating to eye and vision problems amongst students and its association with computer work and provide recommendations for preventing or reducing their development. Aims and Objectives: The aim of the current study was to estimate the prevalence of computer vision syndrome, its knowledge and application among medical students. Materials and Methods: This was a cross-sectional study, which was carried out amongst the MBBS students (1st, 2nd and 3rd year) of Rama Medical College Hospital and Research Center, Kanpur, India. The data was collected between January 2017 to March 2017. Students who gave their consent were taken up for the study. A pretested, semi-structured questionnaire was used to collect the data. Results: A total of 214 medical students participated and majority of them were below 22 years of age. The prevalence of Computer Vision Syndrome was found to be 83% [95% CI = 67.9% - 91.6%]. More than 70% students spend up to 4 hours in front of computer. Roughly 40% knowledge of Computer Vision Syndrome, but only 10% took any measures to prevent the disease. And those who had symptoms experience them within 2-3 hours of computer use. Majority of them complained of having watery eyes and blurred vision. Conclusion: A significant proportion of students do manifests Computer Vision Syndrome and denotes that the health of the people working on the computers should be emphasized as a field of concern in public health. These are young kids and having this syndrome so early in life will have a detrimental effect on their health in future. Hence the stakeholders involved, needs to be sensitized regarding the importance of the regular eye and health check-ups and proper rest to the eyes. Further research is recommended to know the depth of the problem as it has the potential to become a modern-day pandemic.

scholarly journals Computer Vision Syndrome among Patients Attending the Outpatient Department of Ophthalmology in a Tertiary Care Centre: A Descriptive Cross-sectional Study

2020 ◽  
Vol 58 (230) ◽  
Author(s):  
Priyanka Shrestha ◽  
Pranil Man Singh Pradhan ◽  
Om Krishna Malla
Keyword(s):  
Computer Vision ◽  
Computer Use ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Computer Users ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Department Of Ophthalmology

Introduction: Computers and digital electronic devices have become an integral part of life. These devices have adverse effects and nowadays are considered leading occupational hazards. Computer vision syndrome comprises of all the ocular, visual and musculoskeletal symptoms secondary to long term computer use. The objective of this study is to determine the prevalence of computer vision syndrome among people attending the outpatient department of ophthalmology in the tertiary care center in Nepal. Methods: A descriptive cross-sectional study was done among 70 patients in a tertiary care hospital from January 2017 to June 2017 after obtaining ethical approval from the institutional review committee (Ref: 12042017). Convenient sampling method was applied and the point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. Patients using computers for more than one hour were included in the study. All data were entered in Microsoft Excel and analyzed using statistical package for social sciences version 20. Results: Among 70 patients, 67 (95.7%) (87.9-99.1 at 95% confidence interval) had one or more symptoms on computer use. The mean duration of computer use was 7.5±5.4 years and average hours of computer use among computer users were 6.9±3 hours. The most common symptom among computer users was headache seen in 46 (62.2%) patients. Conclusions: Our study showed that a significant number of people using a computer develop one or more symptoms on the long-term use of the computer. Therefore, it is very important to create awareness regarding computer vision syndrome and methods to prevent it among computer users.

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