Evidence map›Paper›PMID 38098910›Full record

ArticleCureus2023

Computer Vision Syndrome Among the General Population in the Eastern Region of Libya: Prevalence and Risk Factors.

Hassan M Alturaiki, Jawad S Alnajjar, Ibrahim A Alibrahim, Fatimah A Almuhaysin, Menetallah W El Gaddafi, Mohammed A Almarzoq, Fatimah M Alturaiki, Shaikha S Aleid

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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 at 3 institutions in 2 countries.

Hassan M AlturaikiCollege of Medicine, King Faisal University, Alahsa, SAU.
Jawad S AlnajjarCollege of Medicine, King Faisal University, Alahsa, SAU.
Ibrahim A AlibrahimCollege of Medicine, King Faisal University, Alahsa, SAU.
Fatimah A AlmuhaysinCollege of Medicine, King Faisal University, Alahsa, SAU.
Menetallah W El GaddafiCollege of Medicine, Libyan International Medical University, Benghazi, LBY.
Mohammed A AlmarzoqCollege of Medicine, King Faisal University, Alahsa, SAU.
Fatimah M AlturaikiDepartment of Emergency Medicine, King Faisal General Hospital, Alahsa, SAU.
Shaikha S AleidDepartment of Ophthalmology, King Fahad University Hospital, Alkhobar, SAU.
King Faisal University · SALibyan International Medical University · LYKing Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To assess the prevalence and determine the risk factors of computer vision syndrome among the general population in the Eastern region of Libya. Methods This study used a descriptive cross-sectional design and comprised a random sample of 407 Libyan adults from Eastern Libya. Data were collected using an online-based questionnaire. Statistical analysis of all the datasets was performed using SPSS software, version 21.0 (IBM Corp., Armonk, NY). Results The mean age of the participants was 32.1 years (SD=12.8), and most participants 281 (69%) were female. As for employment status, 261 (64.1%) were students, 70 (17.2%) were non-healthcare workers, and 46 (11.3%) were healthcare workers. The majority of participants, 353 (86.7%), used a computer seven days a week, with 187 (45.9%) of those participants using a computer for over six hours daily. Over one-third of participants, 157 (38.6%), had computer vision syndrome. Being over 45 years of age, being a student, and using a computer for over six hours a day were the main factors associated with computer vision syndrome. Neck pain was the most commonly reported complaint in 235 (57.5%). Conclusion Increased use of electronic devices is leading to a higher prevalence of computer vision syndrome. Our study emphasizes the need to raise awareness regarding computer vision syndrome among the general public and medical professionals.

Indexed as

computer usecomputer vision syndromedigital eye strainlibyarisk factor

Identifiers

PMID38098910
PMCPMC10719751
OpenAlexW4388658977

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.