Self-Reported Computer Vision Syndrome among Thai University Students in Virtual Classrooms during the COVID-19 Pandemic: Prevalence and Associated Factors

Digital Eye Strain: Updated Perspectives

Purpose

Digital eye strain (DES) is a growing worldwide concern because digital devices are prevalent in both our work and home lives. The purpose of this review was to summarize clinically relevant and evolving key topics related to DES.

Methods

A PubMed.gov search was conducted on or before June 8, 2024. No date restrictions were used during the primary search. The search was aimed at detecting all articles related to DES; thus, the search terms only included "digital eye strain" or "computer vision syndrome".

Results

The two most used, validated DES questionnaires are the Computer Vision Syndrome Questionnaire (CVS-Q) and Computer Vision Symptom Scale (CVSS17). The world-wide prevalence of DES ranges from 8.2% to 100% depending upon the subjects evaluated and the method used to evaluate them. The most common DES symptoms include headache, eye strain, eye redness, eye itching, tearing, photophobia, burning sensation, blurred vision, eye pain, neck and shoulder pain, and eye dryness. Ocular surface symptoms in DES are integrally tied to decreased blink frequency, which causes ocular surface desiccation, increased osmolarity, and dry eye-like symptoms. The most studied DES-specific treatments are improving subjects' environment, artificial tears, blinking exercises, and near work breaks.

Conclusion

DES is a highly prevalent condition that should be regularly screened for in clinic with a validated diagnosis instrument. While there are several treatment options, the community's treatment approach is evolving and primarily focused on treating the visual and dry eye-like symptoms associated with the condition.

Digital Challenges: Investigating Computer Vision Syndrome in Thai Esports Through a Case-Control Approach

Purpose

To determine the factors associated with eyestrain in esports athletes in Bangkok compared with controls.

Patients and Methods

A cross-sectional descriptive study was conducted between April and June 2023, involving 160 male participants (aged 20-35 years) who used digital devices, consisting of esports athletes and a control group. Data were collected using a general information questionnaire, Computer Vision Syndrome Questionnaire (CVS-Q), and Depression anxiety stress scale-21 (DASS-21). Ophthalmic instruments were used for the eye examinations by an optometrist.

Results

Seventy-six esports athletes showed significantly lower visual performance than controls in logMAR visual acuity (p < 0.020), phoria (p < 0.001), negative fusional vergence (blur, break, and recovery) (p < 0.012, p < 0.004 and p < 0.039), positive fusional vergence (blur, break, and recovery) (p < 0.005, p < 0.001 and p < 0.005), monocular estimation method (p < 0.001), monocular and binocular accommodative facility (p < 0.001), and vergence facility (p < 0.001). A study on risk factors for CVS found that esports athletes were significantly more likely to have CVS (p < 0.001). Work environments with high-intensity lighting significantly increase the risk of CVS compared to low-intensity lighting (p < 0.001). The use of a digital device for >4 h/day, having a history of alcohol consumption, and stress significantly increased the risk of CVS (p < 0.001, p < 0.023, p < 0.048).

Conclusion

This study found that esports athletes experienced vision health problems, indicating the need to prevent eyestrain caused by the use of digital devices.

Visual, ocular surface, and extraocular diagnostic criteria for determining the prevalence of computer vision syndrome: a cross-sectional smart-survey-based study

Background

The American Optometric Association defines computer vision syndrome (CVS), also known as digital eye strain, as "a group of eye- and vision-related problems that result from prolonged computer, tablet, e-reader and cell phone use". We aimed to create a well-structured, valid, and reliable questionnaire to determine the prevalence of CVS, and to analyze the visual, ocular surface, and extraocular sequelae of CVS using a novel and smart self-assessment questionnaire.

Methods

This multicenter, observational, cross-sectional, descriptive, survey-based, online study included 6853 complete online responses of medical students from 15 universities. All participants responded to the updated, online, fourth version of the CVS questionnaire (CVS-F4), which has high validity and reliability. CVS was diagnosed according to five basic diagnostic criteria (5DC) derived from the CVS-F4. Respondents who fulfilled the 5DC were considered CVS cases. The 5DC were then converted into a novel five-question self-assessment questionnaire designated as the CVS-Smart.

Results

Of 10 000 invited medical students, 8006 responded to the CVS-F4 survey (80% response rate), while 6853 of the 8006 respondents provided complete online responses (85.6% completion rate). The overall CVS prevalence was 58.78% (n = 4028) among the study respondents; CVS prevalence was higher among women (65.87%) than among men (48.06%). Within the CVS group, the most common visual, ocular surface, and extraocular complaints were eye strain, dry eye, and neck/shoulder/back pain in 74.50% (n = 3001), 58.27% (n = 2347), and 80.52% (n = 3244) of CVS cases, respectively. Notably, 75.92% (3058/4028) of CVS cases were involved in the Mandated Computer System Use Program. Multivariate logistic regression analysis revealed that the two most statistically significant diagnostic criteria of the 5DC were ≥2 symptoms/attacks per month over the last 12 months (odds ratio [OR] = 204177.2; P <0.0001) and symptoms/attacks associated with screen use (OR = 16047.34; P <0.0001). The CVS-Smart demonstrated a Cronbach's alpha reliability coefficient of 0.860, Guttman split-half coefficient of 0.805, with perfect content and construct validity. A CVS-Smart score of 7-10 points indicated the presence of CVS.

Conclusions

The visual, ocular surface, and extraocular diagnostic criteria for CVS constituted the basic components of CVS-Smart. CVS-Smart is a novel, valid, reliable, subjective instrument for determining CVS diagnosis and prevalence and may provide a tool for rapid periodic assessment and prognostication. Individuals with positive CVS-Smart results should consider modifying their lifestyles and screen styles and seeking the help of ophthalmologists and/or optometrists. Higher institutional authorities should consider revising the Mandated Computer System Use Program to avoid the long-term consequences of CVS among university students. Further research must compare CVS-Smart with other available metrics for CVS, such as the CVS questionnaire, to determine its test-retest reliability and to justify its widespread use.

Computer vision syndrome among Sudanese medical students: a growing medical issue in the digital world

Computer vision syndrome (CVS) refers to a set of eye-related symptoms that arise from prolonged computer usage. A survey was conducted to investigate the demographic characteristics, factors contributing to, and preventive measures against CVS. Out of 159 participants, 31.0% experienced seven or more symptoms, indicating a notable prevalence. The study found no significant correlation between age or academic years and CVS occurrence (P values of 0.481 and 0.392, respectively). However, gender exhibited a statistically significant relationship, with females students showing a higher prevalence than males (P=0.018; τ=0.105*). Notably, the distance from the screen had a highly significant inverse correlation with CVS occurrence (P=0.000; τ=-0.207**), indicating that greater distance reduced the risk. Additionally, using a screen filter (P=0.000; τ=0.184**) and adjusting screen brightness (P=0.017; τ=0.101*) were associated with CVS occurrence. Among preventive measures, only the use of an anti-glare screen showed a significant association with reducing CVS risk (P=0.018; τ=-0.099*). Given these findings, raising awareness about CVS among medical students is recommended, especially as curricula in medical colleges evolve.

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.

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.

Cross-Sectional Analyses of Factors Related to Digital Eye Strain Symptoms Among Children Using Online Learning Devices During the COVID-19 Pandemic in Thailand

Purpose

Globally, the COVID-19 pandemic has influenced academic studies. Since 2019, most schools in Thailand have implemented online learning. Thus, several students are experiencing eye problems, including stinging, blurred vision, and epiphora. This study investigated the prevalence, eye symptoms, and characteristics associated with digital eye strain (DES) in children using digital devices.

Patients and Methods

In this cross-sectional study, a self-administered electronic questionnaire via google forms was used to collect demographic data, digital device information, and DES characteristic information in children of age 8-18 years using online digital devices. The data collection was conducted between December 2021 and January 2022. Moreover, multivariable logistic regression analysis was performed to evaluate the potential characteristics associated with DES in children.

Results

From a total of 844 parents, 782 parents completed the questionnaire. The mean age of the children was 12.42 ± 2.82 years (8-18 years). During the pandemic, the most common duration of using digital devices was >8 hours (39.90%), compared to only 2-4 hours (36.70%) before. The prevalence of DES was 42.2% (330/782), divided into mild (29.8%), moderate (8.1%), and severe (4.3%) symptoms. The most common symptoms of DES included: a burning sensation in the eyes (55.24%), fear of worsening eyesight (53.07%), and excessive blinking of eyes (48.33%). The associated characteristics with DES were advanced age (OR=1.21, P<0.001), refractive error with (OR=2.04, P=0.004) and without (OR=6.11, P<0.001) correction, and unknown refractive error (OR=2.85, P<0.001).

Conclusion

The use of digital devices are inevitable; therefore, regulating the duration of study and entertainment using digital devices, especially in older ages, and correcting refractive error in children, is necessary to ameliorate DES.

Computer Vision Syndrome Among Medical Students at the University of Khartoum, Sudan: Prevalence and Associated Factors

Background and aims Regular continuous uninterrupted use of electronic devices, such as smartphones, tablets, and computers, can result in a spectrum of vision-related symptoms known as computer vision syndrome. Students today can readily access information and books on their smartphones and computers, which reduces their reliance on printed texts. Numerous muscle-related and ocular complaints could arise from this. The primary objective of this study was to estimate the prevalence of computer vision syndrome symptoms among medical students at the University of Khartoum and to identify its contributing factors. The secondary objective was to evaluate practices and knowledge related to computer vision syndrome prevention. Methods This study is a facility-based cross-sectional observation aimed at describing medical students' characteristics at the University of Khartoum. The sampling strategy employed was stratified random sampling, and a structured online questionnaire was used to collect the data. A total of 149 students completed the self-administered questionnaire. The questionnaire included questions on sociodemographic data, validated symptoms of computer vision syndrome, and factors associated with the syndrome's development. Data were analyzed using SPSS Statistics (Armonk, NY: IBM Corp.), simple descriptive statistics were calculated, and odds ratios and Pearson's chi-square test were employed to examine and quantify the association between variables. Results Of the 149 participants, 58.4% were female, while males made up 41.6% of the study sample. The prevalence of computer vision syndrome has been found to be 94%, and 72.4% of the students reported experiencing at least three symptoms of computer vision syndrome. Neck and shoulder pain was the most commonly reported symptom (78.5%), followed by headache (70.5%), while the least reported symptom was eye redness (36.2%). The majority of students (81.2%) used electronic devices for five or more hours a day, and the most common posture while using electronic devices was lying down, as reported by 54.4% of the students. A total of 68% of the medical students in this study reported keeping a distance that was shorter than the suggested 40 centimeters from the screen, and only 18.1% were aware of the 20-20-20 rule (every 20 minutes look at an object 20 feet away for 20 seconds). The seating position has been found to be significantly associated with the number of symptoms experienced (p=0.012); sitting with a bent back was 4.6 times more likely to cause more than three symptoms when compared to sitting upright with a straight back (OR=4.643; 95% CI: 1.63-13.21; p=0.004). Conclusion There was a very high prevalence of computer vision syndrome among medical students at the University of Khartoum. Most students had poor awareness and bad practices regarding the safe use of electronic devices. Awareness campaigns to encourage good practices and enable the safe use of computers and other digital devices are strongly recommended.

Digital Eye Strain among Peruvian Nursing Students: Prevalence and Associated Factors

There has been a high prevalence of digital eye strain (DES) among students who have received distance-learning lessons due to COVID-19. However, in low- and middle-income countries, there are few studies that have analyzed its associated factors. This study aimed to determine the prevalence of DES and its associated factors among nursing students during COVID-19 distance learning. This was a cross-sectional analytical study conducted between May and June 2021 in six Peruvian universities. The sample comprised 796 nursing students. DES was measured using the Computer Vision Syndrome Questionnaire (CVS-Q). A bivariate logistic regression analysis was performed. DES was found in 87.6% of nursing students. Sitting upright (OR, 0.47; 95% IC, 0.30-0.74), using electronic devices for more than four hours a day (OR, 1.73; 95% IC, 1.02-2.86), not following the 20-20-20 rule (OR, 2.60; 95% IC, 1.25-5.20), having the screen brightness very high (OR, 3.36; 95% IC, 1.23-11.8), and not wearing glasses (OR, 0.59; 95% IC, 0.37-0.93) are factors associated with DES. The prevalence of DES among nursing students is high. Improving the ergonomics of study environments, reducing the time of exposure to electronic devices, adjusting the screen brightness, and taking eye-care measures are key to controlling computer vision syndrome in virtual learning.

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

Although computer vision syndromes are becoming a major public health concern, less emphasis is given to them, particularly in developing countries. There are primary studies on different continents; however, there are inconsistent findings in prevalence among the primary studies. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of computer vision syndrome. In this study, the review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Online electronic databases, including PubMed/Medline, CINAHL, and Google Scholar, were used to retrieve published and unpublished studies. The study was conducted from December 1 to April 9/2022. Study selection, quality assessment, and data extraction were performed independently by two authors. Quality assessment of the studies was performed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument tool. Heterogeneity was assessed using the statistical test I². STATA 14 software was used for statistical analysis. A total of 7,35 studies were retrieved, and 45 studies were included in the final meta-analysis. The pooled prevalence of computer vision syndrome was 66% (95% CI: 59, 74). Subgroup analysis based on country was highest in Pakistan (97%, 95% CI: 96, 98) and lowest in Japan (12%, 95% CI: 9, 15). Subgroup analysis based on country showed that studies in Saudi Arabia (I² = 99.41%, p value < 0.001), Ethiopia (I² = 72.6%, p value < 0.001), and India (I² = 98.04%, p value < 0.001) had significant heterogeneity. In the sensitivity analysis, no single study unduly influenced the overall effect estimate. Nearly two in three participants had computer vision syndrome. Thus, preventive practice strategic activities for computer vision syndrome are important interventions.

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.

Computer vision syndrome and its determinants: A systematic review and meta-analysis

Objective:

Computer vision syndromes are becoming a major public health concern. Inconsistent findings existed on computer vision syndrome. This systematic review and meta-analysis aimed to estimate the pooled prevalence of computer vision syndrome and identify its determinants.

Methods:

In this study, the review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Online electronic databases, including PubMed/Medline, CINAHL, and Google Scholar, were used to retrieve studies from 1 December to 9 April 2022. Quality assessment of the studies was performed using the JBI-MAStARI. RevMan and STATA 14 software were used for statistical analysis.

Result:

A total of 725 studies were retrieved, and 49 studies were included. The pooled prevalence of computer vision syndrome was 66% (95%, Confidence interval: 59, 74). Being female (Odd Ratio = 1.74, 95% Confidence interval [1.2, 2.53]), improper body posturing while using electronic devices (Odd Ratio = 2.65, 95% Confidence interval [1.7, 4.12]), use of electronic devices out of work (Odd Ratio = 1.66, 95% CI [1.15, 2.39]), no habit of taking breaks (Odd Ratio = 2.24, 95% Confidence interval [1.13, 4.44]), long duration of visual display terminal use (Odd Ratio = 2.02, 95% Confidence interval [1.08, 3.77]), short distance screen (Odd Ratio = 4.24, 95% Confidence interval [2.33, 7.71]), and general ergonomic practice (Odd Ratio = 3.87, 95% Confidence interval [2.18, 6.86]) were associated with increased odds of computer vision syndrome. However, good knowledge (Odd Ratio = 4.04, 95% Confidence interval [2.75, 5.94]) of computer vision syndrome was associated with decreased odds of computer vision syndrome.

Conclusion:

Nearly two in three participants had computer vision syndrome. Being female, improper body posturing, use of electronics devices out of work, no habit of taking a break, long-hour duration of visual display terminal use, short-distance screen, and general ergonomic practice were associated with increased odds of computer vision syndrome.

Digital Eye Strain- A Comprehensive Review

Digital eye strain (DES) is an entity encompassing visual and ocular symptoms arising due to the prolonged use of digital electronic devices. It is characterized by dry eyes, itching, foreign body sensation, watering, blurring of vision, and headache. Non-ocular symptoms associated with eye strain include stiff neck, general fatigue, headache, and backache. A variable prevalence ranging from 5 to 65% has been reported in the pre-COVID-19 era. With lockdown restrictions during the pandemic, outdoor activities were restricted for all age groups, and digital learning became the norm for almost 2 years. While the DES prevalence amongst children alone rose to 50-60%, the symptoms expanded to include recent onset esotropia and vergence abnormalities as part of the DES spectrum. New-onset myopia and increased progression of existing myopia became one of the most significant ocular health complications. Management options for DES include following correct ergonomics like reducing average daily screen time, frequent blinking, improving lighting, minimizing glare, taking regular breaks from the screen, changing focus to distance object intermittently, and following the 20-20-20 rule to reduce eye strain. Innovations in this field include high-resolution screens, inbuilt antireflective coating, matte-finished glass, edge-to-edge displays, and image smoothening graphic effects. Further explorations should focus on recommendations for digital screen optimization, novel spectacle lens technologies, and inbuilt filters to optimize visual comfort. A paradigm shift is required in our understanding of looking at DES from an etiological perspective, so that customized solutions can be explored accordingly. The aim of this review article is to understand the pathophysiology of varied manifestations, predisposing risk factors, varied management options, along with changing patterns of DES prevalence post COVID-19.