Evidence map›Paper›PMID 35812520›Full record

ArticleFrontiers in public health2022

The Effect of Lockdown Due to the COVID-19 Pandemic on Digital Eye Strain Symptoms Among the General Population: A Cross-Sectional Survey.

Mohammad Abusamak, Hatim M Jaber, Hamzeh Mohammad Alrawashdeh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  10. Dry Eye Syndrome in Children during the COVID-19 Pandemic.Korean journal of ophthalmology : KJO · 2024
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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 at 2 institutions in 1 country.

Mohammad AbusamakDepartment of Surgery, School of Medicine, Al-Balqa Applied University, Amman, Jordan.
Hatim M JaberDepartment of Community Medicine, School of Medicine, Al-Balqa Applied University, Amman, Jordan.
Hamzeh Mohammad AlrawashdehDepartment of Community Medicine, School of Medicine, Al-Balqa Applied University, Amman, Jordan.
Al-Balqa Applied University · JOJordan Hospital · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Repetitive prolonged use of digital devices without regular breaks has detrimental effects on ocular health and quality of vision. Individuals with chronic eye problems and refractive errors are at higher risk of developing digital eye strain (DES). Correction of refractive errors, adopting healthy practices will reduce its risk. The survey examined the effect of prolonged lockdown on the development and increased severity of digital eye strain (DES) symptoms among the general population. An online survey was conducted in March 2020 on social media platforms in Jordan. Data from 1,460 responders were analyzed. About half of the respondents were between 30-49 years, 28.4% were retired, 21% had chronic systemic illness, and 23% reported chronic eye problems. A rise in the use of digital devices during lockdown was reported by 957 participants, with 33% of them used digital devices more than 4 h a day. The most common symptoms before and during lockdown were headache and neck / shoulder pain have the highest associations (

Indexed as

COVID-19Refractive ErrorsCommunicable Disease ControlCross-Sectional StudiesFemaleHumansMalePandemicsCOVID-19digital eye straingeneral populationneck painsymptoms

Identifiers

PMID35812520
PMCPMC9256929
OpenAlexW4283273216

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.