Prevalence of Computer Vision Syndrome in School Going Children During COVID Era

Background: Prolonged use of electronic devices poses a significant risk of Computer vision syndrome (CVS). Computer Vision syndrome is emerging as the next unexpected epidemic of the COVID era. Almost all children attending regular online schools are suffering from mild to severe Computer vision syndrome. Besides health problems, CVS also results in concentrate difficulties in studies and decrease a child’s performance. Awareness regarding CVS is increasing among folks of all ages since it has hit not just school going children but their parents as well who are pursuing work from home. Materials and Methods: From March 2020 to March 2021, a multidisciplinary study was conducted to look at the increase in CVS and related factors among school-age children in School of Scholars, Nagpur taking online classes. The randomized controlled trial was used to select 600-school aged children between the ages of 8 and 17, and data was collected using a systematic questionnaire completed by the children's parents. Results: CVS was found in 345 (57.5%) of the 600 children studied, which is very concerning. With proportions of 83.50 percent, 66.33 percent, and 62.17 percent, respectively, the most common reported signs of CVS were eyestrain, eye inflammation, and eye pain. CVS are linked to daily screen use and pre-existing eye disorder. Conclusion: To deter CVS, it is critical to reduce screen time, improve parent and child understanding of safety precautions, and receive management support. To protect a child's overall well-being, we encourage policymakers and parents to restrict e-learning, since it will never be a suitable replacement for conventional classroom instruction.

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Computer Vision Syndrome and Associated Factors among Computer Users in Debre Tabor Town, Northwest Ethiopia

Journal of Environmental and Public Health ◽

10.1155/2018/4107590 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8 ◽

Cited By ~ 3

Author(s):

Awrajaw Dessie ◽

Fentahun Adane ◽

Ansha Nega ◽

Sintayehu Daba Wami ◽

Daniel Haile Chercos

Keyword(s):

Risk Factors ◽

Computer Vision ◽

Associated Factors ◽

Computer Users ◽

Computer Usage ◽

Eye Disease ◽

Management Support ◽

Safety Measures ◽

Computer Vision Syndrome ◽

Debre Tabor

Background. Globally, computer is one of the common office tools used in various institutions. Using computer for prolonged time led to the users at greater health risk of computer vision syndrome (CVS). Computer vision syndrome is the leading occupational health problem of the twenty-first century. About 70 percent of computer users are suffered from CVS. Besides the health problems, CVS causes inefficiency at workplace and deteriorate quality of work. The problem of CVS and its risk factors are not well known in Ethiopia. Method. A cross-sectional study was conducted to assess the prevalence of CVS and associated factors among computer user government employees in Debre Tabor town from February to March, 2016. Multistage random sampling method was applied to select 607 study participants, and the data were collected by using a structured questionnaire. Computer vision syndrome was measured by self-reported method. Bivariate and multivariable binary logistic regression analyses were performed using SPSS version 20. Significance level was obtained at 95% CI and p value < 0.05. Results. The prevalence of CVS was 422 (69.5%) with 95% CI of 65.60, 73.0%. Blurred vision, eyestrain, and eye irritation were the commonest reported symptoms of CVS with proportion of 62.60%, 47.63%, and 47.40%, respectively. Occupation: officer (adjusted odds ratio (AOR) = 4.74) and secretary (AOR = 9.17), daily computer usage (AOR: 2.29), and preexisting eye disease (AOR = 3.19) were risk factors for CVS. However, computer users with high payment, who took regular health break, and with good knowledge on computer safety measures were less impacted by CVS. Conclusion. The prevalence of computer vision syndrome was found to be higher in Debre Tabor town. Monthly income, occupation, daily computer usage, regular health break, knowledge, and preexisting eye disease were predictor variables for CVS. Optimizing exposure time, improving awareness on safety measures, and management support are important to tackle CVS.

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Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia

Journal of Ophthalmology ◽

10.1155/2020/2789376 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Ghufran A. Abudawood ◽

Heba M. Ashi ◽

Nawaf K. Almarzouki

Keyword(s):

Risk Factors ◽

Computer Vision ◽

Saudi Arabia ◽

Medical Students ◽

Significant Risk ◽

Preventive Measure ◽

Undergraduate Medical Students ◽

Cross Sectional ◽

Computer Vision Syndrome ◽

King Abdulaziz University

Introduction. Computer vision syndrome (CVS) is “a complex of eye and vision problems related to near work experienced during computer use.” It is one of the rising health concerns related to technology (cell phones and tablets) due to continuous use of computers among students. The aim of this study was to determine the prevalence of CVS, associated risk factors, and commonly associated symptoms and to assess the awareness and proper practice of using computers for studying. Methods. A cross-sectional descriptive study was conducted among 651 undergraduate medical students in King Abdulaziz University, Jeddah, Saudi Arabia. An electronic survey was conducted to collect the data. Data were analyzed using SPSS v21. The chi-square test (Fisher’s exact test when required) was used to study the significance of associations. P value <0.05 was considered statistically significant. Results. High prevalence of CVS was observed, in which 95% (558) reported at least one symptom during studying using computers. Most frequently reported symptoms were excessive tearing and neck, shoulder, or back pain. Female students had a higher risk of CVS (P=0.003). Students who are myopic or hyperopic showed no association. Astigmatism was associated significantly with CVS (P=0.03). Using spectacles or contact lens showed no association. Students with dry eye disease revealed a significant association with CVS (P=0.01). The most significant risk factors related to the daily usage of computer were longer duration of studying (P<0.001), short distance from the screen (P<0.05), and high brightness of the screen (P<0.05). The most significant preventive measure taken to relieve the symptoms was applying the 20-20-20 rule. Conclusion. CVS is common among medical students; significant risk factors need to be addressed to reduce the symptom and to ensure a better productivity of work. It is a necessity to raise awareness among medical students regarding computer-related health problems.

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Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study (Preprint)

10.2196/preprints.11661 ◽

2018 ◽

Author(s):

Mark Deady ◽

David Johnston ◽

David Milne ◽

Nick Glozier ◽

Dorian Peters ◽

...

Keyword(s):

Mental Health ◽

At Risk ◽

Depressive Symptoms ◽

Controlled Trial ◽

Demographic Data ◽

Well Being ◽

Risk Groups ◽

Smartphone App ◽

Related Factors ◽

Stage 1

BACKGROUND The workplace represents a unique setting for mental health interventions. Due to range of job-related factors, employees in male-dominated industries are at an elevated risk. However, these at-risk groups are often overlooked. HeadGear is a smartphone app–based intervention designed to reduce depressive symptoms and increase well-being in these populations. OBJECTIVE This paper presents the development and pilot testing of the app’s usability, acceptability, feasibility, and preliminary effectiveness. METHODS The development process took place from January 2016 to August 2017. Participants for prototype testing (n=21; stage 1) were recruited from industry partner organizations to assess acceptability and utility. A 5-week effectiveness and feasibility pilot study (n=84; stage 2) was then undertaken, utilizing social media recruitment. Demographic data, acceptability and utility questionnaires, depression (Patient Health Questionnaire-9), and other mental health measures were collected. RESULTS The majority of respondents felt HeadGear was easy to use (92%), easily understood (92%), were satisfied with the app (67%), and would recommend it to a friend (75%; stage 1). Stage 2 found that compared with baseline, depression and anxiety symptoms were significantly lower at follow-up (t30=2.53; P=.02 and t30=2.18; P=.04, respectively), days of sick leave in past month (t28=2.38; P=.02), and higher self-reported job performance (t28=−2.09; P=.046; stage 2). Over 90% of respondents claimed it helped improve their mental fitness, and user feedback was again positive. Attrition was high across the stages. CONCLUSIONS Overall, HeadGear was well received, and preliminary findings indicate it may provide an innovative new platform for improving mental health outcomes. Unfortunately, attrition was a significant issue, and findings should be interpreted with caution. The next stage of evaluation will be a randomized controlled trial. If found to be efficacious, the app has the potential to reduce disease burden and improve health in this at-risk group.

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Optimizing Ergonomics in Breast Imaging

Journal of Breast Imaging ◽

10.1093/jbi/wbz005 ◽

2019 ◽

Vol 1 (3) ◽

pp. 234-238 ◽

Cited By ~ 1

Author(s):

Rebecca L Seidel ◽

Elizabeth A Krupinski

Keyword(s):

Computer Vision ◽

High Risk ◽

Breast Imaging ◽

Well Being ◽

Work Related ◽

Image Guided ◽

Repetitive Strain Injuries ◽

Work Related Injury ◽

Computer Vision Syndrome ◽

Repetitive Strain

Abstract Breast imaging radiologists spend many hours seated at workstations and are therefore at high risk for repetitive strain injuries and computer vision syndrome. In addition, many perform hand-held sonography and image-guided procedures, which may present additional ergonomic challenges. In this article, we describe optimal ergonomics for breast imaging radiologists and discuss additional strategies to mitigate risks from work-related injury and improve overall physical well-being.

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Participant Engagement in a Commercially Available App-Based Mindfulness Training Intervention Delivered to Women Diagnosed with Breast Cancer (Preprint)

10.2196/preprints.11907 ◽

2018 ◽

Author(s):

Kristen Rosen ◽

Jennifer Potter

Keyword(s):

Breast Cancer ◽

Controlled Trial ◽

Well Being ◽

Mindfulness Training ◽

Pain Severity ◽

Mindfulness Practice ◽

Dispositional Mindfulness ◽

Related Factors ◽

Mindfulness Skills ◽

Minimum Dose

BACKGROUND Mindfulness training may improve quality of life (QoL) among women diagnosed with breast cancer, yet barriers associated with instructor-facilitated training (eg, cost, location, time) may limit uptake. Self-directed mindfulness training using smartphone apps may overcome these barriers. However, little is known about who may be most likely to engage in app-based mindfulness training (AMT) interventions. OBJECTIVE We examined baseline predictors of app engagement among women diagnosed with breast cancer (≤5 years) enrolled in a randomized controlled trial (RCT) of a commercially available AMT intervention (Headspace). METHODS Participants (n=57) received AMT as part of a 12-week RCT. Headspace was available for download from iTunes or Google Play. Participants were asked to complete app registration using a unique activation code and complete ≥ 1 mindfulness session; this was defined as “minimum dose.” Overall, AMT engagement was self-guided. Participants completed baseline measures of QoL (FACT-B), dispositional mindfulness (MAAS), pain severity and interference (BPI-sf), and demographics. Log data was obtained from the app developers at the end of the study. AMT engagement was characterized by: attaining minimum dose, number of mindfulness sessions completed, and duration (minutes) of overall mindfulness practice. RESULTS Overall, 34 participants completed app registration and ≥1 mindfulness session (minimum dose). Over the 12-week trial, the median number of mindfulness sessions completed was 11.50 with a range of 1-87 sessions completed. Median duration of overall mindfulness practice was 115 minutes, with a range of 10-1411 minutes. Participants who attained minimum dose had greater baseline physical well-being (mean 20.74 [SD 5.67]) compared to those who did not have any recorded engagement with AMT (mean 16.43 [SD 8.15]; t[36.2]=-2.20, P=.04). Pain severity was lower for participants who attained minimum dose (mean 3.12 (SD 1.69]) compared to those who did not (mean 4.61 [SD 2.05]; t[29]=2.20, P=.04). Other domains of QoL, dispositional mindfulness, pain-related interference, and demographics did not differ between groups. Among those who attained minimum dose, only pain-related interference was associated with fewer mindfulness sessions completed (P=.05). CONCLUSIONS App engagement was not recorded for slightly fewer than half of participants (ie, did not complete registration and ≥1 mindfulness session). Although reasons for non-adherence are unclear, findings suggest physical well-being and pain-related factors may be associated with participant AMT engagement. Given mindfulness practice time is associated with mindfulness skills uptake, future studies should explore approaches to optimize AMT engagement among participants with greater physical well-being and pain-related concerns.

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Awareness of computer vision syndrome and related factors among information technology professionals

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20205301 ◽

2020 ◽

Vol 8 (12) ◽

pp. 4336

Author(s):

Gayatri G. Jayakumar ◽

Bindu Thampi ◽

Mahadevan K. Iyer ◽

Rekha R. Sasidharan

Keyword(s):

Information Technology ◽

Computer Vision ◽

Ocular Symptom ◽

Computer Usage ◽

Information Technology Professionals ◽

It Professionals ◽

Related Factors ◽

Professional Advice ◽

Computer Vision Syndrome ◽

Structured Questionnaire

Background: Extensive use of computers for both professional and personal purpose has led to an increase in computer related health problems. Aim of this study was to evaluate the awareness regarding symptoms and the related factors in computer vision syndrome (CVS) among a group of information technology (IT) professionals.Methods: This study was conducted among 300 IT employees. After obtaining informed consent, structured questionnaire was given and data collected and analyzed.Results: Out of 300 respondents, 194 (64.7%) were males and 106 (35.3%) females. Mean age was 30.5 years.48.3% had more than eight years of computer usage and 77.3% used computers on an average of 8-12 hours per day. About 201 (67%) of the participants had at least one ocular symptom, most common was dryness (96%). 94.7% reported eyestrain and 86.3% reported redness and itching. Dryness and eyestrain were more in males (p<0.05). Dryness, eyestrain and redness were more in those who used computers for more than eight years duration and for 8-12 hours/day (p<0.05). 253 (84.3%) were aware about this syndrome, the main source being internet. The main relief measure adopted was to take a break in between the work hours. Only 51.3% consulted a doctor for their symptoms. Conclusions: In our study though 84.3% of IT professionals were aware of CVS and 67% had at least one ocular symptom, only 51.3% took professional advice for their problems. There is a definite need for awareness about corrective measures and treatment methods to be adopted for CVS among IT professionals.

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Impact of a Buddhist practice on psychological well-being and related factors: A comparison of practitioners and non-practitioners

PsycEXTRA Dataset ◽

10.1037/e537902012-044 ◽

2011 ◽

Cited By ~ 1

Author(s):

R. Sachar ◽

K. Singh ◽

A. Khurana

Keyword(s):

Well Being ◽

Related Factors ◽

Psychological Well Being ◽

Buddhist Practice

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Relationship between Computer Vision Syndrome and A Collection of Musculoskeletal Pain among Frequent Computer Users

Strengthening Hospital Competitiveness to Improve Patient Satisfaction and Better Health Outcomes ◽

10.26911/the6thicph.05.24 ◽

2019 ◽

Author(s):

Hari Peni Julianti ◽

◽

Trilaksana Nugroho ◽

Dea Amarilisa Adespin ◽

Arwinda Nugraheni ◽

...

Keyword(s):

Computer Vision ◽

Musculoskeletal Pain ◽

Computer Users ◽

Computer Vision Syndrome

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

Journal of Nobel Medical College ◽

10.3126/jonmc.v9i2.33386 ◽

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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