Digital eye strain, asthenopia and computer vision syndrome overlap, but they are not interchangeable diagnoses. Recent reviews and cross-sectional studies report substantial prevalence across device users, students and workers, while differing definitions, questionnaires and populations make direct trend comparisons inappropriate.
Key Digital Eye Strain Statistics
The following figures highlight the scale, symptoms and exposure patterns reported in the supplied research:
- In studies available through February 13, 2023, computer vision syndrome affected an estimated 69.0% of participants across 103 studies spanning general and subgroup populations.
- In the same review period, study-level computer vision syndrome prevalence ranged from 12.1% to 97.3% across included populations.
- In studies published within the five years before April 2024, asthenopia prevalence was estimated at 51% across diverse populations.
- In the same asthenopia review, estimated prevalence reached 90% among digital-device users during the covered study period.
- In studies published within the five years before April 2024, estimated asthenopia prevalence was 77% among computer workers.
- Before the COVID-19 pandemic, computer vision syndrome prevalence was estimated at 72.8% in included study populations.
- Across included studies available through February 13, 2023, women had pooled computer vision syndrome prevalence of 71.4%, compared with 61.8% for men.
- In the same review period, university students had pooled computer vision syndrome prevalence of 76.1%.
- In March 2021, computer vision syndrome prevalence was 74.32% among 74 foreign MBBS students taking online lectures at Sichuan University.
- In March 2021, computer vision syndrome prevalence was 50.79% among 63 Chinese medical students taking classroom lectures at Sichuan University.
- In March 2021, 72.97% of the online-learning students reported dryness, compared with 50.79% of classroom students.
- In the COVID-19 online-education survey, 68.16% of Bangladeshi postsecondary online learners had computer vision syndrome.
- In the Pakistani bank-worker study published in 2021, 79.5% of 127 computer-using bank workers reported at least one ocular symptom.
- In the Saudi resident study published in 2025, 211 people, or 53.7% of the sample, met the study’s computer vision syndrome case definition.
- In studies before April 2024, eye tiredness was the most frequent asthenopia symptom at an estimated 65%.
- In the asthenopia meta-analysis, eye strain occurred in an estimated 47% of participants.
- In the Saudi computer vision syndrome group, neck and shoulder pain affected 72.3% of cases.
- In the Saudi sample, 53.4% reported more than six hours of daily digital-device use.
- In the Pakistani bank-worker study, 81.2% of workers using a computer for more than eight hours per day reported computer vision syndrome symptoms.
- In Bangladeshi postsecondary online learners, more than 12 hours of online education per day without or with insufficient breaks was associated with adjusted OR 7.654 for computer vision syndrome.
Contents
- Key Digital Eye Strain Statistics
- Overall Digital Eye Strain Prevalence and Measurement Range
- Digital Eye Strain Data by Age, Sex and Population
- Student and Online-Learning Computer Vision Syndrome Statistics
- Digital Eye Strain Symptoms and Reported Frequency
- Screen Time, Devices and Computer Vision Syndrome
- Workplace Digital Eye Strain and Ergonomic Factors
Overall Digital Eye Strain Prevalence and Measurement Range
The broadest estimate comes from a systematic review of 103 cross-sectional studies and 66,577 participants available through February 13, 2023. Its random-effects meta-analysis estimated computer vision syndrome prevalence at 69.0%, with a 95% confidence interval of 62.3%–75.3%.
The review also found exceptionally wide variation between studies. Reported study-level prevalence ranged from 12.1% to 97.3%, reflecting different populations, definitions and measurement instruments rather than a single population trend.
Between-study heterogeneity was extremely high (I²=99.7%). See Prevalence of computer vision syndrome: a systematic review and meta-analysis.
A separate 63-study systematic review searched studies published within the five years before April 2024 and examined asthenopia, a related but distinct term. It estimated overall symptom prevalence at 51% (95% CI 50%–52%), with subgroup estimates of 90% among digital-device users and 77% among computer workers.
These subgroup estimates are pooled findings, not national workforce surveillance measures. See Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis.
| Measure | Estimate or range | Population and period |
|---|---|---|
| Computer vision syndrome | 69.0% (95% CI 62.3%–75.3%) | 103 studies; available through February 13, 2023 |
| Computer vision syndrome study range | 12.1%–97.3% | Included study populations; through February 13, 2023 |
| Asthenopia | 51% (95% CI 50%–52%) | Diverse populations; studies before April 2024 |
| Asthenopia among digital-device users | 90% | Digital-device users; studies before April 2024 |
| Asthenopia among computer workers | 77% | Computer workers; studies before April 2024 |
The computer vision syndrome review estimated pre-COVID-19 prevalence at 72.8%. It also reported 75.4% pooled prevalence among studies using a questionnaire other than CVS-Q and 71.2% for African studies; these are sensitivity and regional subgroup estimates, not evidence that questionnaire choice or region caused the difference.
Digital Eye Strain Data by Age, Sex and Population
Population composition matters when interpreting digital eye strain statistics. In the computer vision syndrome meta-analysis, women had pooled prevalence of 71.4%, compared with 61.8% for men, while university students had pooled prevalence of 76.1%.
The same review estimated 73.1% prevalence among contact-lens wearers and 63.8% among non-wearers. These are observational subgroup comparisons and may reflect differences in device exposure, symptom definitions or other characteristics.
See Prevalence of computer vision syndrome: a systematic review and meta-analysis.
During COVID-19 pandemic studies reviewed for asthenopia, estimates ranged from 39% to 45% among adults, 36% to 57% among university students and 45% to 64% among school-aged children. These are ranges across studies, not pooled time series, and child-report and parent-report methods may differ.
A 2021 study of 127 computer-using bank workers in Peshawar, Pakistan, found that 79.5% reported at least one ocular computer vision syndrome symptom. Within sex groups, the figures were 74.7% for men and 93.8% for women; this single occupational sample was not adjusted prevalence.
A study published in 2025 surveyed residents using digital devices in Saudi Arabia’s Northern Border Region. It found that 211 people, or 53.7%, met its case definition of one or more computer vision syndrome symptoms after electronic-device use.
Student and Online-Learning Computer Vision Syndrome Statistics
A March 2021 Sichuan University survey compared 63 Chinese medical students taking classroom lectures with 74 foreign MBBS students taking online lectures. Computer vision syndrome prevalence was 50.79% in the classroom group and 74.32% in the online-learning group, but the groups differed by student origin and teaching mode, so the comparison was not randomized.
| Student group, March 2021 | CVS prevalence | Average symptoms | Most common screen-time category |
|---|---|---|---|
| 63 Chinese medical students, classroom lectures | 50.79% | 5.00 (SD 2.17) | 2–4 hours for 46.03% |
| 74 foreign MBBS students, online lectures | 74.32% | 5.91 (SD 1.90) | 7–9 hours for 43.24% |
Dryness was reported by 50.79% of classroom students and 72.97% of online-learning students. Foreign-body sensation affected 46.03% and 62.16%, respectively, while heavy eyelids affected 53.97% and 58.11%.
The questionnaire summaries were not clinical diagnoses. See Computer Vision Syndrome During SARS-CoV-2 Outbreak in University Students: A Comparison Between Online Courses and Classroom Lectures.
The same study included 137 medical students and found a moderate positive correlation between computer vision syndrome score and screen time (Spearman r=0.386; p<0.001). This is a cross-sectional association and does not establish causation.
A COVID-19 online-education survey of postsecondary students in Bangladesh reported overall computer vision syndrome prevalence of 68.16%. Using a mobile phone or tablet for online education was associated with adjusted OR 8.954 (95% CI 1.57–51.063), while continuing online education for more than 12 hours per day without or with insufficient breaks was associated with adjusted OR 7.654 (95% CI 1.625–36.053); both are observational associations with wide confidence intervals.
Digital Eye Strain Symptoms and Reported Frequency
The asthenopia meta-analysis found eye tiredness to be the most frequent symptom, with an estimated prevalence of 65% (95% CI 46%–84%). Eye strain occurred in 47% (95% CI 37%–58%), and burning or irritation in 43% (95% CI 35%–51%).
The wide intervals and differing symptom wording show why these figures should not be treated as a single universal symptom profile. See Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis.
In the Saudi study’s 211-person computer vision syndrome group, symptoms and related complaints were reported at these levels:
- Neck and shoulder pain affected 72.3% of cases, while dry eyes affected 57.0%.
- General eye problems affected 56.2%, and burning sensations affected 50.4%.
- Blurred vision affected 45.8%, and itchy eyes affected 42.0%.
- Increased tearing affected 38.2%, and red eyes affected 35.9%.
- Double vision affected 27.0%, and foreign-body sensation affected 24.9%.
These Saudi symptom percentages use the CVS case group as the denominator, not the full resident sample. See Epidemiology and Determinants of Computer Vision Syndrome Among Residents Using Digital Devices in Northern Border Region, Saudi Arabia.
Screen Time, Devices and Computer Vision Syndrome
In the Saudi resident sample, mobile phones were the most frequently used device for 67.4% of participants, and 53.4% reported more than six hours of daily digital-device use. These distributions describe device use; they are not causal risk estimates.
In the Pakistani bank-worker study, 50.4% used a computer for more than eight hours per day. Computer vision syndrome symptoms occurred in 81.2% of that exposure group, compared with 55% among the 20 workers reporting three to four hours per day.
The exposure comparison was cross-sectional, and the smaller subgroup limits interpretation. See Computer Vision Syndrome: Prevalence and Associated Risk Factors Among Computer-Using Bank Workers in Pakistan.
The bank-worker study reported that total daily computer duration and uninterrupted computer duration were significantly associated with computer vision syndrome (p<0.001 and p=0.01). Its findings do not quantify effect size or prove that duration caused symptoms.
More than 6 hours of daily digital-device use was reported by 53.4% of the Saudi sample (Study period; publication 2025; Saudi residents using digital devices).
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In the Pakistani bank-worker study, 50.4% used a computer for more than 8 hours per day (Study data-collection period; publication 2021; 127 computer-using bank workers in Peshawar).
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CVS symptoms occurred in 81.2% of bank workers using a computer for more than 8 hours per day (Study data-collection period; publication 2021; Computer-using bank workers in Peshawar).
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CVS symptoms occurred in 55% of bank workers using a computer for 3–4 hours per day (Study data-collection period; publication 2021; 20 computer-using bank workers in Peshawar).
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Workplace Digital Eye Strain and Ergonomic Factors
Digital eye strain studies often measure ocular and musculoskeletal complaints together. Among the 127 Pakistani bank workers, general body fatigue was reported by 92.9%, neck, shoulder or back pain by 88.2%, headache by 83.5% and eye burning by 77.2%.
The Saudi sample provides additional context on device setup and behavior. Among residents using digital devices, 40.7% reported a viewing distance under 40 cm, 49.9% sat with a bent back, 33.6% took a break every half hour, 62.1% preferred medium screen brightness and 55.5% used devices in moderately lit rooms.
These are behavior and environment distributions, not measured clinical thresholds or causal effects. See Epidemiology and Determinants of Computer Vision Syndrome Among Residents Using Digital Devices in Northern Border Region, Saudi Arabia.
The Pakistani study found no significant association between computer vision syndrome and screen distance (p=0.89), break frequency (p=0.18) or font size (p=0.12). Those null findings come from one self-reported, cross-sectional occupational study and do not establish that distance, breaks or font size are harmless.
Across the evidence, the most defensible interpretation is descriptive: digital eye strain and related symptoms are frequently reported in device-using populations, but prevalence estimates vary sharply with terminology, case definitions, instruments, exposure patterns and denominators. The reviews and individual studies should therefore be read within their stated periods and populations rather than combined into one causal or longitudinal trend.