Evidence map›Paper›PMID 41648943›Full record

SynthesisJournal of global health2026

Clinical manifestations, prevalence, and risk factors of asthenopia: a systematic review and meta-analysis.

Fan Song, Yanjun Liu, Ziwei Zhao, Xianwen Shang, Yueye Wang, Mengying Lai, Mingguang He, Yanxian Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fan Song *The Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Yanjun Liu *The Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Ziwei Zhao *The Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Xianwen ShangThe Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Yueye WangThe Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Mengying LaiThe Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Mingguang HeThe Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.
Yanxian ChenThe Hong Kong Polytechnic University, School of Optometry, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This meta-analysis aims to determine the clinical manifestations, prevalence, and risk factors of asthenopia across diverse populations. Methods: We 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). Results: Overall, 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). Conclusions: Asthenopia 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. Registration: PROSPERO: CRD42024536841.

Indexed as

AsthenopiaCOVID-19HumansPrevalenceRisk Factors

Identifiers

PMID41648943
PMCPMC12879263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.