scholarly journals Computer vision syndrome prevalence according to individual and video display terminal exposure characteristics in Spanish university students

Author(s):  
Natalia Cantó‐Sancho ◽  
Mar Sánchez‐Brau ◽  
Belén Ivorra‐Soler ◽  
Mar Seguí‐Crespo
2019 ◽  
Author(s):  
Shadrack Muma ◽  
Dickens Omondi Aduda ◽  
Patrick Onyango

Abstract Background Computer vision syndrome is a multi-factorial condition of the eye that results in symptoms of stress and discomfort among computer users. It causes chronic vision-related morbidity and reduced work productivity. Ninety percent and 75% of computer users globally and in Africa respectively suffer from CVS. It is an insidious chronic condition that however, has hitherto received little attention, both by health providers as well as computer users. Also, it is likely to be under diagnosed as it mimics other eye conditions. The risk factors for CVS include prolonged period of electronic device use and glare. In Kenya, lack of awareness of the disease is a key barrier to early detection, health seeking and use of interventions. The burden of CVS and how much computer users in learning institutions are aware of and perceive CVS remains unknown.Methods This study adopted cross-sectional study design to determine the level of awareness, perception of CVS, uptake of preventive measures by students at Maseno University. In total, we administered questionnaires to 384 randomly selected students.Results The mean age was 19.5 years (SD= 0.747) with 18-24 years as the modal age group. Females comprised 51.3% (n=197) and males 48.7%. Participants who had at least 5 symptoms of CVS were 60.4% (n= 232). Awareness level was classified as low in 47.8%; medium level in 38.2% and high level in 13.8% of respondents . Sixty percent of respondents did not perceive CVS as an issue of public health concern compared to 39.8% who perceived CVS as an issue of public health concern ( p=0.001). In terms of precautionary measures, only duration of computer use (46.2%, p = 0.001 ) were practiced. The study results show that at least 3 out of 5 students have at least five symptoms of CVS, whereas awareness of the disease and related risks remain low.Conclusion The results of the present study indicate that CVS is a less recognized health concern among university students. Consequently, screening for the disease sensitization of students on CVS and awareness campaigns to improve early recognition and diagnosis of disease as well as uptake of interventions is recommended.


2020 ◽  
Vol 12 (2) ◽  
pp. 245-251
Author(s):  
Sudip Poudel ◽  
Shankar Prasad Khanal

Introduction: Computer Vision Syndrome (CVS) is developed among computer workers due to long time working with computers or viewing of the video display terminal (VDT). The objective of this study is to determine the magnitude and determinants of CVS symptoms among IT officers. Materials and methods: A cross sectional study of IT office workers was conducted at Kathmandu from March to April 2019. Self-administrated questionnaire and observation of researcher was applied to collect information. CVS defect was considered if the participants were having minimum of one symptom during /following use of VDT. The proportion of CVS and its association with different independent factors was carried out. Results: The prevalence of CVS reported by 263 participants was 82.5% (95% CI: 81.3% - 83.6%), of them 163(62.0%) were not aware about bad effects of computers to the visual apparatus. Goggles were used as protection against CVS by 140(53.2%) participants. CVS symptoms included headache 127(48.0%), tired eyes 123(47.0%) and eye strain 114(43.0%). Use of computer for more than 4.75 hours/day experienced CVS. The mean office work included 7.7 ± 2.02 hours computer work. The video display gadgets usage in home was 2.7 ± 2.35 hours/ day. Not taking breaks (OR:7.3; 95% CI:2.2 - 24.9), not massaging eyes (OR:7.5; 95% CI:1.2 - 47.7), unusual viewing distance (OR:9.0; 95% CI:2.0 - 44.5), improper posture (OR:3.6; 95% CI:1.3 - 10.3), computer usage for more than 10 hours/ day (OR:5.4; 95% CI:1.6 - 18.2) and not aware of CVS (OR:7.2; 95% CI:2.6 - 20.3) were significant predictors of CVS in IT workers. Conclusion: Most of the IT workers had CVS. Health education and care of IT workers based on predictors found need to be strengthened in the study area.


2017 ◽  
Vol 72 (1) ◽  
pp. e13035 ◽  
Author(s):  
Lizette Mowatt ◽  
Carron Gordon ◽  
Arvind Babu Rajendra Santosh ◽  
Thaon Jones

2013 ◽  
Vol 5 (2) ◽  
pp. 161-168 ◽  
Author(s):  
S Chandrasekhara Reddy ◽  
CK Low ◽  
YP Lim ◽  
LL Low ◽  
F Mardina ◽  
...  

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


2021 ◽  
Vol 9 ◽  
Author(s):  
Lixiang Wang ◽  
Xin Wei ◽  
Yingping Deng

Purpose: To compare the prevalence of computer vision syndrome in university students of different teaching modes during the SARS-CoV-2 outbreak period.Methods: A cross-sectional survey study using the validated Computer Vision Syndrome Questionnaire in Chinese medical students of Sichuan University who took classroom lectures and the same-grade foreign students from a Bachelor of Medicine and Bachelor of Surgery (MBBS) program who took online lectures with similar schedules.Results: A total of 137 responses from 63 Chinese students and 74 MBBS students were obtained. The highest frequency of digital screen time was 7-9 h (43.24%, 32/74) for MBBS students and 2-4 h (46.03%, 29/63) for Chinese students. The prevalence of computer vision syndrome among Chinese students and MBBS students were 50.79% and 74.32%, respectively (P = 0.004). The average numbers of reported symptoms were 5.00 ± 2.17 in Chinese students and 5.91 ± 1.90 in MBBS students (P = 0.01). The three most highly reported symptoms were “heavy eyelids” (53.97%), “dryness” (50.79%), and “feeling of a foreign body” (46.03%) in Chinese students and “dryness” (72.97%), “feeling of a foreign body” (62.16%), and “heavy eyelids” (58.11%) in MBBS students. The sum grades of computer vision syndrome had a moderate positive correlation with screen time (Spearman's correlation coefficient = 0.386, P < 0.001). The grades of symptoms of “feeling of a foreign body,” “heavy eyelids,” and “dryness” showed a weak positive correlation with screen time (Spearman's correlation coefficients were 0.220, 0.205, and 0.230, respectively).Conclusion: Online study may contribute to the prevalence of computer vision syndrome among university students.


1983 ◽  
Author(s):  
Woodrow Barfield ◽  
Bill West ◽  
Mica Robertson ◽  
F. Lynne Taylor ◽  
Nelson Tamplin

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