Evidence map›Paper›PMID 34409226›Full record

ArticleJournal of current ophthalmology

Impact of E-Schooling on Digital Eye Strain in Coronavirus Disease Era: A Survey of 654 Students.

Richa Gupta, Lokesh Chauhan, Abhishek Varshney

Open access · diamondAbstract read
In one paragraph

Article in Journal of current ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
15.7field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  8. Review
  9. Digital Eye Strain among Peruvian Nursing Students: Prevalence and Associated Factors.International journal of environmental research and public health · 2023
    Article
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  12. Digital Eye Strain- A Comprehensive Review.Ophthalmology and therapy · 2022
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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

3 authors.

Richa GuptaDepartment of Glaucoma, CL Gupta Eye Institute, Moradabad, Uttar Pradesh, India.
Lokesh ChauhanDepartment of Clinical and Public Health Research, CL Gupta Eye Institute, Moradabad, Uttar Pradesh, India.
Abhishek VarshneyDepartment of Vitreoretina, CL Gupta Eye Institute, Moradabad, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess digital eye strain (DES) among schoolchildren during lockdown.

methodsAn online questionnaire-based, cross-sectional study was conducted. A validated, self-administered, electronic questionnaire was circulated among students of 5-18 years of age. The duration of data collection was from May 18, 2020 to May 24, 2020. Rasch-based Computer-Vision Symptom Scale was deployed to measure the DES.

resultsA total of 654 students (mean age: 12.02 ± 3.9 years) completed the survey. The average per day digital device exposure was 5.2 ± 2.2 h. A total of 507 (92.8%) children reported experiencing at least one asthenopic/dry eye symptom (AS/DS). The most prevalent symptoms were eye redness (69.1%) and heaviness of eyelids (79.7%). Significant positive correlation was reported between age and per day duration of digital device exposure (Pearson correlation 0.25;

conclusionMost of the students surveyed, experienced at least one symptom of DS or AS, indicating a need to educate them about the possible deleterious effects and help them adapt to the currently evolving education system.

Indexed as

AsthenopiaCOVID-19Digital eye strainDry eye symptomsE-schooling

Identifiers

PMID34409226
PMCPMC8365579
OpenAlexW3181467999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.