Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (956 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
Term generally used to describe complaints related to refractive error, ocular muscle imbalance, including pain or aching around the eyes, burning and itchiness of the eyelids, ocular fatigue, and headaches.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Eyestrain; Fatigue, Visual; Visual Fatigue; Eye Fatigue; Fatigue, Eye.
Where it fits in the MeSH classification
- Broader topics
- Eye Diseases
Research landscape
PubMed indexes 1,123 records tagged with the MeSH heading “Asthenopia” (counts retrieved 2026-11-04). 211 of them (18.8%) were published from 2020 onward, and the busiest period so far is through 1999 with 510 records.
Reviews account for 86 records (7.7%) and meta-analyses for 6. Randomized controlled trials number 53 (4.7%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 510 |
| 2000-2009 | 176 |
| 2010-2019 | 226 |
| 2020 onward | 211 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 86 | 7.7% |
| Meta-analyses | 6 | 0.5% |
| Randomized controlled trials | 53 | 4.7% |
Method: PubMed query "Asthenopia"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.
Reading the evidence in eye, ear, nose and throat
Eye, hearing, nose and throat studies rely on specialist tests (visual acuity, eye pressure, audiograms, scopes) and on patient-reported symptoms, which vary between people and with age. Some conditions improve without treatment, so comparison groups matter. Nothing on this page is advice about diagnosis or treatment; sudden loss of sight or hearing needs urgent care from a qualified clinician. Check how the outcome was tested, the age of the people studied and how long they were followed.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors | 2016 | Research article Design not recorded in structured metadata | 147 | cc by PMID 26956624 · DOI · PMC4784392 |
| E-readers and visual fatigue | 2013 | Research article Design not recorded in structured metadata | 56 | cc by PMID 24386252 · DOI · PMC3873942 |
| Visualisation ergonomics and robotic surgery | 2023 | Review article Design not recorded in structured metadata | 50 | cc by PMID 37204648 · DOI · PMC10492791 |
| Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis | 2026 | Meta-analysis Design not recorded in structured metadata | 2 | cc by PMID 41648943 · DOI · PMC12879263 |
Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundComputer vision syndrome (CVS) is a group of visual symptoms experienced in relation to the use of computers.
- Closing excerpt
- The factors associated with the severity of CVS were the duration of occupation and presence of pre-existing eye disease.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (350 words)
BackgroundComputer vision syndrome (CVS) is a group of visual symptoms experienced in relation to the use of computers. Nearly 60 million people suffer from CVS globally, resulting in reduced productivity at work and reduced quality of life of the computer worker. The present study aims to describe the prevalence of CVS and its associated factors among a nationally-representative sample of Sri Lankan computer workers.MethodsTwo thousand five hundred computer office workers were invited for the study from all nine provinces of Sri Lanka between May and December 2009. A self-administered questionnaire was used to collect socio-demographic data, symptoms of CVS and its associated factors. A binary logistic regression analysis was performed in all patients with 'presence of CVS' as the dichotomous dependent variable and age, gender, duration of occupation, daily computer usage, pre-existing eye disease, not using a visual display terminal (VDT) filter, adjusting brightness of screen, use of contact lenses, angle of gaze and ergonomic practices knowledge as the continuous/dichotomous independent variables. A similar binary logistic regression analysis was performed in all patients with 'severity of CVS' as the dichotomous dependent variable and other continuous/dichotomous independent variables.ResultsSample size was 2210 (response rate-88.4%). Mean age was 30.8 ± 8.1 years and 50.8% of the sample were males. The 1-year prevalence of CVS in the study population was 67.4%. Female gender (OR: 1.28), duration of occupation (OR: 1.07), daily computer usage (1.10), pre-existing eye disease (OR: 4.49), not using a VDT filter (OR: 1.02), use of contact lenses (OR: 3.21) and ergonomics practices knowledge (OR: 1.24) all were associated with significantly presence of CVS. The duration of occupation (OR: 1.04) and presence of pre-existing eye disease (OR: 1.54) were significantly associated with the presence of 'severe CVS'.ConclusionsSri Lankan computer workers had a high prevalence of CVS. Female gender, longer duration of occupation, higher daily computer usage, pre-existing eye disease, not using a VDT filter, use of contact lenses and higher ergonomics practices knowledge all were associated with significantly with the presence of CVS. The factors associated with the severity of CVS were the duration of occupation and presence of pre-existing eye disease.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 26956624 · DOI · PMC4784392
E-readers and visual fatigue [2]
Abstract reading summary — source excerpts
- Opening excerpt
- The mass digitization of books is changing the way information is created, disseminated and displayed.
- Closing excerpt
- The absence of differences between E-ink and paper suggests that, concerning visual fatigue, the E-ink is indeed very similar to the paper.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (166 words)
The mass digitization of books is changing the way information is created, disseminated and displayed. Electronic book readers (e-readers) generally refer to two main display technologies: the electronic ink (E-ink) and the liquid crystal display (LCD). Both technologies have advantages and disadvantages, but the question whether one or the other triggers less visual fatigue is still open. The aim of the present research was to study the effects of the display technology on visual fatigue. To this end, participants performed a longitudinal study in which two last generation e-readers (LCD, E-ink) and paper book were tested in three different prolonged reading sessions separated by--on average--ten days. Results from both objective (Blinks per second) and subjective (Visual Fatigue Scale) measures suggested that reading on the LCD (Kindle Fire HD) triggers higher visual fatigue with respect to both the E-ink (Kindle Paperwhite) and the paper book. The absence of differences between E-ink and paper suggests that, concerning visual fatigue, the E-ink is indeed very similar to the paper.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 24386252 · DOI · PMC3873942
Visualisation ergonomics and robotic surgery [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Stereopsis may be an advantage of robotic surgery.
- Closing excerpt
- Experienced robotic surgeons can use visual cues like tissue deformation and surgical tool information as surrogates for haptic feedback.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (117 words)
Stereopsis may be an advantage of robotic surgery. Perceived robotic ergonomic advantages in visualisation include better exposure, three-dimensional vision, surgeon camera control, and line of sight screen location. Other ergonomic factors relating to visualisation include stereo-acuity, vergence-accommodation mismatch, visual-perception mismatch, visual-vestibular mismatch, visuospatial ability, visual fatigue, and visual feedback to compensate for lack of haptic feedback. Visual fatigue symptoms may be related to dry eye or accommodative/binocular vision stress. Digital eye strain can be measured by questionnaires and objective tests. Management options include treatment of dry eye, correction of refractive error, and management of accommodation and vergence anomalies. Experienced robotic surgeons can use visual cues like tissue deformation and surgical tool information as surrogates for haptic feedback.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37204648 · DOI · PMC10492791
Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis [4]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundThis meta-analysis aims to determine the clinical manifestations, prevalence, and risk factors of asthenopia across diverse populations.
- Closing excerpt
- RegistrationPROSPERO: CRD42024536841.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (323 words)
BackgroundThis meta-analysis aims to determine the clinical manifestations, prevalence, and risk factors of asthenopia across diverse populations.MethodsWe systematically searched PubMed up to April 2024 for studies published within the last five years on asthenopia, without language or design restrictions. Reference lists were also reviewed. The study quality was evaluated using the Newcastle-Ottawa Scale. A random-effects meta-analysis was conducted to calculate proportions, prevalence rates, odds ratios (ORs) and their 95% confidence intervals (CIs).ResultsOverall, 63 studies were included. The pooled prevalence of asthenopia detected via questionnaires or symptom report was 51% (95% CI = 50%, 52%). Subgroup analyses showed high prevalence among digital device users (90%) and computer workers (77%). During the COVID-19 pandemic, prevalence rose among adults (39%-45%), university students (36%-57%), and school-aged children (45%-64%). The most frequent ocular symptoms were eye tiredness (65%, 95% CI = 46%, 84%), eye strain (47%, 95% CI = 37%, 58%), and burning/irritation (43%, 95% CI = 35%, 51%). Musculoskeletal symptoms, including neck pain (45%, 95% CI = 28%, 62%) and shoulder pain (30%, 95% CI = 12%, 48%) were also prevalent. Neuropsychological symptoms included headache (50%, 95% CI = 41%, 59%) and difficulty concentrating (44%, 95% CI = 32%, 56%). Risk factors included short sleep duration (OR = 1.28; 95% CI = 1.04, 1.57), prior eye disease (OR = 2.59; 95% CI = 1.43, 4.69), prolonged screen time (OR = 1.15; 95% CI = 1.09, 1.21), and ambient conditions like air conditioning use (OR = 23.02; 95% CI = 4.94, 107.18). Protective measures included anti-glare filters (OR = 0.34; 95% CI = 0.19, 0.64), regular breaks (OR = 0.21; 95% CI = 0.09, 0.51), and computer use knowledge (OR = 0.20; 95% CI = 0.13, 0.30).ConclusionsAsthenopia is prevalent across diverse populations, characterised by a wide range of symptoms and influenced by modifiable risk factors. Our findings support a unified definition to improve clinical recognition and offer preliminary evidence to help shape future research on preventive strategies.RegistrationPROSPERO: CRD42024536841.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41648943 · DOI · PMC12879263
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Computer vision syndrome: a review [5]
- Research article Computer vision syndrome: a review of ocular causes and potential treatments [6]
- Research article Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know [7]
- Research article Management of digital eye strain [8]
- Research article TFOS Lifestyle: Impact of the digital environment on the ocular surface [9]
- Research article Digital Screen Use and Dry Eye: A Review [10]
References
- Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al.. Computer vision syndrome among computer office workers in a developing country: an evaluation of prevalence and risk factors. . 2016. PMID 26956624 · DOI · PMC4784392
- Benedetto S, Drai-Zerbib V, Pedrotti M, Tissier G, Baccino T. E-readers and visual fatigue. . 2013. PMID 24386252 · DOI · PMC3873942
- Wong SW, Crowe P. Visualisation ergonomics and robotic surgery. . 2023. PMID 37204648 · DOI · PMC10492791
- Song F, Liu Y, Zhao Z, Shang X, Wang Y, Lai M, et al.. Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis. . 2026. PMID 41648943 · DOI · PMC12879263
- Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: a review. Surv Ophthalmol. 2005. PMID 15850814 · DOI
- Rosenfield M. Computer vision syndrome: a review of ocular causes and potential treatments. Ophthalmic Physiol Opt. 2011. PMID 21480937 · DOI
- Jaiswal S, Asper L, Long J, Lee A, Harrison K, Golebiowski B. Ocular and visual discomfort associated with smartphones, tablets and computers: what we do and do not know. Clin Exp Optom. 2019. PMID 30663136 · DOI
- Coles-Brennan C, Sulley A, Young G. Management of digital eye strain. Clin Exp Optom. 2019. PMID 29797453 · DOI
- Wolffsohn JS, Lingham G, Downie LE, Huntjens B, Inomata T, Jivraj S, et al.. TFOS Lifestyle: Impact of the digital environment on the ocular surface. Ocul Surf. 2023. PMID 37062428 · DOI
- Mehra D, Galor A. Digital Screen Use and Dry Eye: A Review. Asia Pac J Ophthalmol (Phila). 2020. PMID 33181547 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-11-04.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.