Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: an online questionnaire study

CVS-Q teen: an adapted, reliable and validated tool to assess computer vision syndrome in adolescents

Adolescents' extensive use of digital devices raises significant concerns about their visual health. This study aimed to adapt and validate the computer vision syndrome questionnaire (CVS-Q©) for adolescents aged 12-17 years. A mixed-method sequential design was used. First, a qualitative study was involved two nominal groups to assess the instrument's acceptability. A subsequent cross-sectional quantitative study with 277 randomly selected adolescents assessed reliability and validity. Participants completed the adapted CVS-Q©, an ad hoc questionnaire, and the ocular surface disease index (OSDI) questionnaire. Repeatability was tested in 54 adolescents after 7-14 days. The Rasch-Andrich rating scale model was used. Instructions and symptoms were modified to obtain the 14-item CVS-Q teen©. It showed unidimensionality, no local dependence between items, and respected monotonicity. Adequate internal consistency (person reliability = 0.69, item reliability = 0.98) and intraobserver reliability (intraclass correlation coefficient = 0.77, Cohen's Kappa = 0.49) were observed. A significant correlation (0.782, p < 0.001) between CVS-Q teen© and OSDI supported construct validity. A score of ≥ 6 points indicated computer vision syndrome (CVS) (sensitivity = 85.2%, specificity = 76.5%, and area under the curve = 0.879). In conclusion, CVS-Q teen© is a valid and reliable instrument for assessing CVS in adolescents using digital devices, applicable in research and clinical practice for early identification and recommendations for visual health.

Prevalence of computer vision syndrome during the COVID-19 pandemic: a systematic review and meta-analysis

BACKGROUND

Computer vision syndrome has become a significant public health problem, especially in developing countries. Therefore, this study aims to identify the prevalence of computer vision syndrome during the COVID-19 pandemic.

METHODS

A systematic review and meta-analysis of the literature was conducted using the databases PubMed, Scopus, Web of Science, and Embase up to February 22, 2023, using the search terms "Computer Vision Syndrome" and "COVID-19". Three authors independently performed study selection, quality assessment, and data extraction, and the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to evaluate study quality. Heterogeneity was assessed using the statistical test I2, and the R version 4.2.3 program was used for statistical analysis.

RESULTS

A total of 192 studies were retrieved, of which 18 were included in the final meta-analysis. The total sample included 10,337 participants from 12 countries. The combined prevalence of computer vision syndrome was 74% (95% CI: 66, 81). Subgroup analysis based on country revealed a higher prevalence of computer vision syndrome in Pakistan (99%, 95% CI: 97, 100) and a lower prevalence in Turkey (48%, 95% CI: 44, 52). In addition, subgroup analysis based on study subjects showed a prevalence of 82% (95% CI: 74, 89) for computer vision syndrome in non-students and 70% (95% CI: 60, 80) among students.

CONCLUSION

According to the study, 74% of the participants experienced computer vision syndrome during the COVID-19 pandemic. Given this finding, it is essential to implement preventive and therapeutic measures to reduce the risk of developing computer vision syndrome and improve the quality of life of those affected.

TRIAL REGISTRATION

The protocol for this systematic review and meta-analysis was registered in the international registry of systematic reviews, the International Prospective Register of Systematic Reviews (PROSPERO), with registration number CRD42022345965.

Visual display terminal syndrome and its associated factors among university students during the COVID-19 pandemic

BACKGROUND

Ever since the start of the coronavirus disease 2019 (COVID-19) pandemic, students have been spending an increasingly longer time staring at electrical devices to take online courses.

OBJECTIVE

This study aimed to investigate the effect of the virtual class environment on eye and musculoskeletal problems in university students during the COVID-19 pandemic.

METHODS

A total of 365 university students were enrolled in this study. They completed an online survey to examine the effects of online learning on eye and musculoskeletal health during the COVID-19 pandemic. The questionnaires consisted of four sections: demographic and general information, environmental and work factors, device-related factors, and visual display terminal syndrome (VDTS).

RESULTS

Participants have been taking online classes of 14.5 hours per week during the COVID-19 pandemic. They reported the mean daily usage of digital devices of 4.8±2.2 hours before the pandemic but this increased to 8.1±2.9 during the pandemic. Eye fatigue and neck, shoulder, and back pain have also been reported. The mean VDTS score was significantly influenced by gender, obesity, daily exercise, regular breaks, wear of blue light-blocking glasses, daily hours of electronic device use, and illumination of room.

CONCLUSION

The results of this study showed that university students taking online classes suffered more from VDTS, especially in eye fatigue and neck, lower back, and shoulder pain during COVID-19 pandemic than prior. This study suggests that it is necessary to take breaks in online classes and regularly provide appropriate eye exercise and physical activity to prevent VDTS.

Prevalence of computer vision syndrome: A systematic review and meta-analysis

PURPOSE

This review aimed to estimate the prevalence of computer vision syndrome (CVS) in the general population and subgroups.

METHODS

A search was conducted in the following the databases: PubMed, SCOPUS, EMBASE, and Web of Science until February 13, 2023. We included studies that assessed the prevalence of CVS in any population. The Joanna Briggs Institute's critical appraisal tool was used to evaluate the methodological quality. A meta-analysis of the prevalence of CVS was done using a random-effects model, assessing the sources of heterogeneity using subgroup and meta-regression analyses.

RESULTS

A total of 103 cross-sectional studies with 66 577 participants were included. The prevalence of CVS was 69.0% (95% CI: 62.3 to 75.3; I2: 99.7%), ranging from 12.1 to 97.3% across studies. Point prevalence was higher in women than in men (71.4 vs. 61.8%), university students (76.1%), Africa (71.2%), Asia (69.9%), contact lens wearers (73.1% vs. 63.8%) in studies conducted before the COVID-19 pandemic (72.8%), and in those that did not use the CVS-Q questionnaire (75.4%). In meta-regression, using the CVS-Q scale was associated with a lower prevalence of CVS.

CONCLUSION

Seven out of ten people suffer from CVS. Preventive strategies and interventions are needed to decrease the prevalence of this condition which can affect productivity and quality of life. Future studies should standardize a definition of CVS.

Computer vision syndrome and associated factors in university students and teachers in Nampula, Mozambique

BACKGROUND

Computer Vision Syndrome (CVS) is a complex of eye and visual problems that arise while using a computer or other Video Display Terminal (DVT). With the advent of the COVID-19 pandemic, the use of these DVTs has become indispensable in the lives of students and teachers. This study aims to identify the prevalence of CVS and associated factors in students and teachers at Lúrio University, in Nampula, during the pandemic period.

METHODS

This is a cross-sectional study, carried out between November 2020 and March 2021. The validated CVS questionnaire (CVS-Q) and another semi-structured questionnaire on ergonomic risk factors were applied. Odds ratios (OR) and adjusted odds ratios (aOR) were calculated to measure the association between CVS and computer use conditions.

RESULTS

The prevalence of CVS was 76.6%, and the female gender, age ≤ 20 years, levels I, II, III of course, lack of knowledge about ergonomics, use the computer to study, use more than 6 hours daily, absence of anti-reflex treatment, use of other devices and sitting in an inappropriate chair were risk factors for the occurrence of CVS, while being a teacher was a protective factor.

CONCLUSION

The prevalence of CVS found in this study was high, due to several factors, especially not using ergonomic principles when using computers and other DVTs. There is a need to adopt intervention strategies focused on the most vulnerable groups such as women, age group ≤20 years and students, especially at the first year level, right after entering the University.

Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision

Aim

This study aimed to assess the prevalence of Computer Vision Syndrome (CVS) among children and adolescents in Qatar during the period of remote learning and explore the associated factors and discuss some digital health remedies that might reduce the risk.

Methods

We conducted an analytical cross-sectional study between June and August 2022 by collecting data via telephone interviews with parents of selected students utilizing the Computer Vision Syndrome Questionnaire (CVS-Q).

Results

We completed 1,546 interviews. The mean age of the students was (11 ± 2), male: female ratio was almost 1:1. About one quarter (368, 23.8%) of parents reported a previous diagnosis of visual disturbances among their children with over 88% of them wearing eyeglasses or medical contact lenses. The prevalence of CVS in our sample was about 8% (95%CI: 6.8-9.6). Mother's employment, having positive history of visual disturbances, and excess screen time were found to be significant predictors of CVS.

Conclusion

Health care providers in collaboration with teachers should provide parents with evidence-based strategies to prevent or minimize the digital eye strain among students. In the landscape of remote learning, the implementation of digital remedies emerges as a proactive approach to mitigate the risk of digital eye strain.

The Prevalence and Knowledge of Digital Eye Strain Among the Undergraduates in Riyadh, Saudi Arabia

Aim/background Digital eye strain, also called computer vision syndrome (CVS), is a group of symptoms resulting from prolonged computer, tablet, e-reader, and cell phone use. The level of discomfort and the severity of these symptoms appear to increase with the amount of digital screen use. These symptoms include eyestrain, headaches, blurred vision, and dry eyes. This study aims to assess the changes in the prevalence of digital eye strain among college students in Riyadh, Saudi Arabia. Methods A cross-sectional study was conducted among university students at different college institutions in Riyadh, Saudi Arabia. Subjects were interviewed, and the data were collected using an online questionnaire. The questionnaire was composed of student demographic data, students' general knowledge and risk perception of digital eye strain, and the assessment of CVS symptoms questionnaire. Results Of the 364 university students, 55.5% were females, and 96.2% were aged between 18 and 29 years. A significant proportion of university students (84.6%) were using digital devices for five hours or more. The proportion of university students who were aware of the 20-20-20 rule was 37.4%. The overall prevalence of positive for CVS symptoms was 76.1%. Independent risk factors for CVS symptoms were gender female, ocular disorders, and using digital devices at a shorter distance. Conclusion There was a high prevalence of CVS symptoms among university students in our region. Female students with an ocular disease were more likely to exhibit CVS symptoms than other university students, but using a digital device at a longer distance could alleviate the symptoms of CVS. A longitudinal study is needed to establish the effect of CVS symptoms among university students, especially during the post-pandemic era.

Using the C-Read as a Portable Device to Evaluate Reading Ability in Young Chinese Adults: An Observational Study

We evaluated the reading characteristics of normal-sighted young adults using C-Read to provide baseline healthy population values. We also investigated the relationship between the National Eye Institute’s Visual Functioning Questionnaire (VFQ-25) score and reading ability, myopia, and hours of screen use, focusing on the extent to which these factors affect participants’ visual function and, ultimately, their vision-related quality of life (QoL). Overall, 207 young, healthy participants (414 eyes) aged 18–35 years were tested for reading speed using C-Read connected to a smartphone-based application between December 2022 and January 2023. Each participant received a VFQ-25 questionnaire to evaluate vision-related QoL. Data on daily e-screen usage hours were collected. Among the participants, 91 (44.0%) were women; their mean (SD) age was 22.45 (4.01) years. The mean (SD) reading acuity (RA) was 0.242 (0.124), 0.249 (0.120), and 0.193 (0.104) logarithmic minimum angle of resolution (logMAR) for the right, left, and both eyes, respectively. The mean (SD) maximum reading speed (MRS) was 171.65 (46.27), 168.59 (45.68), and 185.16 (44.93) words per minute (wpm) with the right, left, and both eyes, respectively. The mean (SD) critical print size (CPS) was 0.412 (0.647), 0.371 (0.229), and 0.419 (1.05) logMAR per the right, left, and both eyes, respectively. The RA and CPS were significantly different between sexes (p = 0.002 and p = 0.001). MRS was significantly different between the education level (p = 0.005) and myopia level groups (p = 0.010); however, it was not clear whether this difference was confounded by age. The myopic power in diopters significantly affected RA (coefficient, −0.012; 95% CI, −0.018 to −0.006; p = 0.001); screen time significantly affected MRS (coefficient, 0.019; 95% CI, 0.57 to 6.33; p = 0.019). RA (coefficient, −21.41; 95% CI, −33.74 to −9.08; p = 0.001) and duration of screen use (coefficient, -0.86; 95% CI, −1.29 to −0.43; p < 0.001) independently had a significantly negative correlation with VFQ-25 scores. Our findings provide a baseline value for C-Read in normal-sighted young adults. Refractive status significantly affected RA, while screen time significantly affected MRS. Interventions aimed at enhancing RA may have the potential to maximize vision-related QoL and enable older adults with impaired vision to achieve greater outcomes. Future, larger-scale, C-Read experiments will help provide newer, more optimal methods for the early diagnosis of visual impairment.

Myopia Progression during the COVID-19 Era: A Systematic Review and Meta-analysis

BACKGROUND

To evaluate myopia progression during the novel coronavirus disease 2019 (COVID-19) pandemic and its risk factors.

METHODS

We searched PubMed, Scopus, and Web of Science to find literature until August 2022 related to COVID-19 pandemic and myopia progression. Outcomes of myopia progression included axial length (AL) and spherical equivalent (SE). Factors of screen time and outdoor activity time were analyzed.

RESULTS

Thirty-three studies were included in this meta-analysis. Compared to the same period before the COVID-19 pandemic, myopia prevalence increased (OR = 1.11; 95% CI, 1.05-1.18). The outcomes of SE decreased -0.61 diopter (95% CI, -0.98 to -0.23), and AL increased 0.42 mm (95% CI, 0.13-0.7). Mean screen time was increased 6.25 hours/day (95% CI, 4.84-7.66), and outdoor activity time was decreased -1.52 hours/day (95% CI, -3.20 to -0.15).

CONCLUSION

Establishing care policies is necessary to restrict behavioral changes and their consequences during the pandemic.

Analysis of the Outcomes of the Screen-Time Reduction in Computer Vision Syndrome: A Cohort Comparative Study

Purpose

To analyze the outcomes of screen-time reduction on the foveal responses that associates computer vision syndrome (CVS) using multifocal electroretinogram (mfERG) examination.

Methods

This prospective multicenter cohort comparative study included 49 eyes of 49 medical students divided into two groups. Group A (control group) included 25 eyes with no CVS diagnosis while group B (CVS group) included 24 eyes with CVS diagnosis. All students responded to the valid and reliable CVS-Form 3 (CVS-F3) questionnaire and underwent complete ophthalmic and mfERG examinations twice at the time recruitment in the study and four weeks after strict reduction of the daily screen-hours to ≤1 screen-hour daily to document associated foveal responses.

Results

We documented statistically significant reduction in foveal responses in CVS versus control groups in mean mfERG Rings 1, 2, and 5 with Quadrants 1, 2, and 4 (P=<0.0001, 0.0001, 0.0003, 0.001, 0.002, and 0.006, respectively). Following the screen-time reduction, the second mfERG examination revealed significant post-reduction improvements in foveal responses in CVS group particularly in mean mfERG Rings 1, 2, 3, and 5 with Quadrants 1 and 4 (P=<0.0001, <0.0001, 0.0005, 0.02, <0.0001, and 0.04, respectively).

Conclusion

This study documented the screen-induced foveal dysfunction that associates CVS using mfERG examination, which revealed remarkable significant improvements in foveal responses in the 4 weeks following strict screen-time reduction. These improvements were also associated with corresponding improvements in the visual performances. We suggest that the potential screen-induced foveal dysfunction outcomes might be reversible with strict screen-time reduction. We also recommend that educational institutional policies should limit online education-hours and redesign the mandated computer system use program to guard against visual sequelae of CVS.

Clinical Trials Registration

ClinicalTrials.gov (ID: NCT04405648).

Investigating the Prevalence of Computer Vision Syndrome (CVS) Among Undergraduate Nursing Students: A Cross-Sectional Study

Introduction

During the pandemic, health issues associated with using digital devices and exploring social media, such as Computer Vision Syndrome (CVS), have increased considerably.

Objectives

This study looked into CVS and its significance in Jordan and the CVS outcomes of undergraduate nursing students who used digital devices to surf social media during COVID-19.

Methods

To assess CVS, a quantitative cross-sectional research design was used. Data were collected in 2022 through an online diagnostic and formative survey utilizing the CVS-Questionnaire (CVS-Q) with 310 undergraduate nursing students from a government and a private university in Jordan. Descriptive statistics and the univariate general linear model were used to analyze the collected data.

Results

To report the prevalence of CVS among the studied sample, the median score was 1.80. The median prevalence score was 24.50 (range = 13-31), and 26.75% of participants reported having intense social media searches. For a student in this study to be diagnosed with CVS, they must receive a score of at least 5, and the current sample score was around 2, indicating they didn't have a CVS; however, it was moderate when it occurred. About 26.75% of participants reported having problematic social media searches. Back and neck pain and headaches were the typical signs of CVS. The average daily hours spent using digital devices for social media searches increased during the pandemic utilizing mobile phones, especially among male nursing students. Being a junior student with no social media account and unable to balance study and social media were among the predictors of CVS. Most students used protective tools on their digital devices, such as protective films and phone screens, to prevent or accommodate CVS.

Conclusion

There were no prior collected data about CVS in Jordan, and based on the international trend, the COVID-19 pandemic didn't directly contribute to the prevalence of CVS. However, when the CVS occurred, it was moderate, which mandates proactive and prophylactic redesigning of our educational system.

Risk factor assessment of digital eye strain during the COVID-19 pandemic: a cross-sectional survey

Background

Shifting to online learning during the coronavirus pandemic has increased the number of individuals symptomatic of digital eye strain (DES). This study aimed to determine the frequency and potential risk factors of DES among university staff members and students in this pandemic era.

Methods

A cross-sectional online survey was conducted during the pandemic, in May and June 2020. The online questionnaire was designed to collect data on DES-related ocular and extraocular manifestations. The survey was sent via social media to the previous year's students and staff within the Faculty of Medicine, Tanta University, Tanta, Egypt. The responses were downloaded and analyzed.

Results

Of the 412 participants completing the questionnaire, 34 (8.3%) were university staff members with a mean (standard deviation [SD]) age of 36.7 (6.6) years, and 378 (91.7%) were university students with a mean (SD) age of 20.8 (1.8) years. Participants with DES symptoms numbered 294 (71.4%) before the lockdown, increasing to 366 (88.8%) during the last month, with 84 developing new-onset DES. Most participants reported ocular symptoms associated with DES. After the lockdown, both students and staff had a significant prolongation of nighttime digital screen use and TV watching, an increase in the 4-item Patient Health Questionnaire (PHQ-4) severity scale scores, and anxiety and depression, with a reduced duration of daytime reading (all P < 0.05). Students had a significant prolongation of daytime digital screen use and TV watching and an increase in the frequency of eye lubricant use and mean Perceived Stress Scale (PSS)-4 scores (all P < 0.05). Multiple logistic regression analysis revealed that studenthood and increased nighttime screen use were independent risk factors for DES by odds ratios (95% confidence intervals) of 10.60 (2.12 - 53.00) and 3.99 (1.71 - 9.34), respectively (both P < 0.05).

Conclusions

Lockdown and closure of the university, with a shift to online learning, increased the exposure of staff and students to digital screens and the number of individuals with DES. Studenthood and prolonged nighttime digital screen use were independent risk factors for DES. Further studies investigating the prevalence and risk factors of DES, comparing similar data during and after the pandemic, may reveal other aspects of DES caused by virtual reality-based training.

Prevalence of Computer Vision Syndrome among School-Age Children during the COVID-19 Pandemic, Saudi Arabia: A Cross-Sectional Survey

Background: Computer vision syndrome (CVS) can be described as ocular-related symptoms that result from prolonged exposure and use of computers, smartphones, tablets, and other devices with digital displays. The main objective of this study was to investigate the prevalence of CVS among school-age children, the associated signs, risk factors, and the association between the disease before and during the COVID-19 pandemic in the Jazan region of Saudi Arabia. Methods: The study employed a descriptive cross-sectional research design. The targeted population was school-going children aged 6 to 18 in the Jazan region in the Southwest of Saudi Arabia. A sample of 440 participants was selected to represent the population under study. Data were collected using self-administered questionnaires. Sociodemographic characteristics were recorded, such as age, gender, education level, parents’ education, occupation, frequency, and intensity of eye symptoms if present. Results: Most of the participants were adolescents between 16 and 18 and at a high-school education level. According to the total symptoms score, the CVS prevalence was 35.4%. Prevalence of CVS significantly affects age, gender, and school level (p < 0.05 for all). A similar significant association was reported between the symptoms experienced before and during COVID-19 and the CVS (p < 0.05). Conclusion: A total of 407 adolescents aged 16−18 responded to the questionnaire (response rate of 92.5%; 407 out of 440). The study estimated the prevalence of CVS among school-going children in Jazan to be low. The main signs associated with CVS included headache, tearing, itchiness, blurred vision, eye redness, eye pain, and dryness. The attitude of children toward their health condition during the COVID-19 pandemic and the prevalence of CVS have a significant relationship.