Evidence map›Paper›PMID 36360446›Full record

ArticleChildren (Basel, Switzerland)2022

Prevalence of Computer Vision Syndrome among School-Age Children during the COVID-19 Pandemic, Saudi Arabia: A Cross-Sectional Survey.

Ismail Abuallut, Reham E Ajeebi, Alanoud Y Bahari, Manal A Abudeyah, Atheer A Alyamani, Atyaf J Zurayyir, Abdulkareem H Alharbi, Abdullah A Al Faqih, Abdullatif Z Suwaydi, Maram I Alqasemi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Ismail AbuallutDepartment of Surgery, Ophthalmology Division, Faculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Reham E AjeebiFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Alanoud Y BahariFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Manal A AbudeyahFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Atheer A AlyamaniFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Atyaf J ZurayyirFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Abdulkareem H AlharbiDepartment of Preventive Medicine, Ministry of National Guard, Riyadh 22490, Saudi Arabia.
Abdullah A Al FaqihFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Abdullatif Z SuwaydiFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0002-4053-7043
Maram I AlqasemiFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Bushra A AlnamiFaculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia.
Khaled Jamaan Al ZahraniDepartment of Preventive Medicine, Ministry of National Guard, Riyadh 22490, Saudi Arabia.
Jazan University · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computer vision syndrome (CVS) can be described as ocular-related symptoms that result from prolonged exposure and use of computers, smartphones, tablets, and other devices with digital displays. The main objective of this study was to investigate the prevalence of CVS among school-age children, the associated signs, risk factors, and the association between the disease before and during the COVID-19 pandemic in the Jazan region of Saudi Arabia. Methods: The study employed a descriptive cross-sectional research design. The targeted population was school-going children aged 6 to 18 in the Jazan region in the Southwest of Saudi Arabia. A sample of 440 participants was selected to represent the population under study. Data were collected using self-administered questionnaires. Sociodemographic characteristics were recorded, such as age, gender, education level, parents’ education, occupation, frequency, and intensity of eye symptoms if present. Results: Most of the participants were adolescents between 16 and 18 and at a high-school education level. According to the total symptoms score, the CVS prevalence was 35.4%. Prevalence of CVS significantly affects age, gender, and school level (p < 0.05 for all). A similar significant association was reported between the symptoms experienced before and during COVID-19 and the CVS (p < 0.05). Conclusion: A total of 407 adolescents aged 16−18 responded to the questionnaire (response rate of 92.5%; 407 out of 440). The study estimated the prevalence of CVS among school-going children in Jazan to be low. The main signs associated with CVS included headache, tearing, itchiness, blurred vision, eye redness, eye pain, and dryness. The attitude of children toward their health condition during the COVID-19 pandemic and the prevalence of CVS have a significant relationship.

Indexed as

computer vision syndrome (CVS)COVID-19CVS risk factorsschool-age children

Identifiers

PMID36360446
PMCPMC9689306
OpenAlexW4308767597

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.