Evidence map›Paper›PMID 40264089›Full record

ArticleBMC musculoskeletal disorders2025

Work-related musculoskeletal disorders among Pakistani laparoscopic and general surgeons.

Ezaz Arshad, Hadia Anjum, Qurat Ul Ain, Rabbyya Kausar, Kanwal Fatima, Mamoona Tasleem Afzal, Muhammad Kashif

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Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ezaz ArshadRiphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Pakistan.
Hadia AnjumInstitute of Rehabilitation Science, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan.
Qurat Ul AinUniversity Institute of Physical Therapy, The University of Lahore, Sargodha campus, Sargodha, Pakistan.
Rabbyya KausarUniversity Institute of Physical Therapy, The University of Lahore, Sargodha campus, Sargodha, Pakistan.
Kanwal FatimaFaculty of Allied and Medical Sciences, University of Sargodha, Sargodha, Pakistan.
Mamoona Tasleem AfzalInstitute of Rehabilitation Science, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan.
Muhammad KashifRiphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Pakistan. kashif.shaffi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare care professionals, particularly surgeons, are at significant risk of acquiring work-related musculoskeletal disorders that can lead to prolonged pain and diminish productivity. This study aimed to identify the prevalence, associated risk factors, and coping strategies for work-related musculoskeletal disorders among general and laparoscopic surgeons in Pakistan.

methodsA cross-sectional survey was conducted to collect data from general and laparoscopic surgeons working in selected tertiary care hospitals located in Sialkot, Pakistan. The self-structured questionnaire consisted of four sections, including demographic information, musculoskeletal risk factors, work posture assessment and coping strategies. Logistic regression was used to determine associations between musculoskeletal disorders and personal and working factors, including postural demands during general and laparoscopic surgery using SPSS software 25.

resultsOut of 171, 76% of the general surgeons and 86% of the laparoscopic surgeons reported suffering from WRMSDs within 1 year, and the 7-day prevalence was 24.5%. A total of 47.4% of the participants were also found to be at high risk or above, according to REBA scoring. Age, lifestyle, working hours, and number of surgeries performed per week were found to be significant (p value < 0.05) risk factors for WRMSDs. Assortment of coping strategies was employed, with changes in table/plinth height reported by 91.2% of the participants.

conclusionThe current study revealed that surgeons have a high prevalence of developing WRMSDs. Personal factors as well as work-related risk factors were found to be significant in the development of WRMSDs. General and laparoscopic surgeons exhibited different incidences of pain among body regions. Varying degrees of coping strategies were employed, with changing table/plinth height being the most common.

Indexed as

LaparoscopyMusculoskeletal DiseasesOccupational DiseasesSurgeonsAdaptation, PsychologicalAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPakistanPrevalenceRisk FactorsSurveys and QuestionnairesCoping strategiesPrevalenceRisk factorsSurgeonsWork-related musculoskeletal disorders

Identifiers

PMID40264089
PMCPMC12016146

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LicenceCC BY-NC-ND
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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.