Evidence map›Paper›PMID 37286979›Full record

ArticleBMC musculoskeletal disorders2023

Work-related musculoskeletal symptoms among Saudi radiologists: a cross-sectional multi-centre study.

Magbool Alelyani, Moawia Gameraddin, Abdullah Mohammed A Khushayl, Aljoharah M Altowaijri, Maryam Ibrahim Qashqari, Fahad Ali Ahmed Alzahrani, Awadia Gareeballah

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. 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

7 authors at 5 institutions in 2 countries.

Magbool AlelyaniDepartment of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, 62529, Saudi Arabia. maalalyani@kku.edu.sa.
Moawia GameraddinDepartment of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Al-Madinah, Saudi Arabia.
Abdullah Mohammed A KhushaylCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.
Aljoharah M AltowaijriCollege of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Maryam Ibrahim QashqariKing Abdullah Medical Complex, Jeddah, Saudi Arabia.
Fahad Ali Ahmed AlzahraniCollege of Medicine, University of Bisha, Bisha, Saudi Arabia.
Awadia GareeballahDepartment of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Al-Madinah, Saudi Arabia.
Taibah University · SAUniversity of Bisha · SAKing Abdullah Medical City · SAKing Khalid University · SAPrincess Nourah bint Abdulrahman University · SA

Funding

Deanship of Scientific Research at King Khalid University RGP2/387/44
6 · The paper itself

Abstract

backgroundMusculoskeletal disorders are common health problems worldwide. Several factors cause these symptoms, including ergonomics and other individual considerations. Computer users are prone to repetitive strain injuries that increase the risk of developing musculoskeletal symptoms (MSS). Radiologists are susceptible to developing MSS because they work long hours analysing medical images on computers in an increasingly digitalised field. This study aimed to identify the prevalence of MSS among Saudi radiologists and the associated risk factors.

methodsThis study was a cross-sectional, non-interventional, self-administered online survey. The study was conducted on 814 Saudi radiologists from various regions in Saudi Arabia. The study's outcome was the presence of MSS in any body region that limited participation in routine activities over the previous 12 months. The results were descriptively examined using binary logistic regression analysis to estimate the odds ratio (OR) of participants who had disabling MSS in the previous 12 months. All university, public, and private radiologists received an online survey containing questions about work surroundings, workload (e.g., spent at a computer workstation), and demographic characteristics.

resultsThe prevalence of MSS among the radiologists was 87.7%. Most of the participants (82%) were younger than 40 years of age. Radiography and computed tomography were the most common imaging modalities that caused MSS (53.4% and 26.8%, respectively). The most common symptoms were neck pain (59.3%) and lower back pain (57.1%). After adjustment, age, years of experience, and part-time employment were significantly associated with increased MSS (OR = .219, 95% CI = .057-.836; OR = .235, 95% CI = 087-.634; and OR = 2.673, 95% CI = 1.434-4.981, respectively). Women were more likely to report MSS than males (OR = 2.12, 95% CI = 1.327-3.377).

conclusionsMSS are common among Saudi radiologists, with neck pain and lower back pain being the most frequently reported symptoms. Gender, age, years of experience, type of imaging modality, and employment status were the most common associated risk factors for developing MSS. These findings are vital for the development of interventional plans to reduce the prevalence of musculoskeletal complaints in clinical radiologists.

Indexed as

Low Back PainMusculoskeletal DiseasesOccupational DiseasesCross-Sectional StudiesFemaleHumansMaleNeck PainPrevalenceRadiologistsRisk FactorsSaudi ArabiaSurveys and QuestionnairesLower back painMusculoskeletal symptomsNeckRadiologists

Identifiers

PMID37286979
PMCPMC10245353
OpenAlexW4379768264

What OpenQuestion holds

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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.