Evidence map›Paper›PMID 39893399›Full record

ArticleBMC musculoskeletal disorders2025

Translation, cross-cultural adaptation and validation of the Persian version of the physical workload questionnaire (PWQ).

Mehrnaz Noshadha, Hamid Reza Mokhtarinia, Mohsen Vahedi, Markus Melloh

Abstract readValidation Study
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mehrnaz NoshadhaDepartment of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Kodakyar Ave.Daneshjo Blvd., Evin, Tehran, Iran.ORCID http://orcid.org/0000-0002-2032-6361
Hamid Reza MokhtariniaDepartment of Ergonomics, University of Social Welfare and Rehabilitation Sciences, Kodakyar Ave.Daneshjo Blvd., Evin, Tehran, Iran. Hrmokhtarinia@yahoo.com.ORCID http://orcid.org/0000-0002-5181-4894
Mohsen VahediDepartment of Biostatistics and Epidemiology, Substance Abuse and Dependence Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-4645-6770
Markus MellohSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID http://orcid.org/0000-0002-8819-799X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMusculoskeletal disorders in manual workers are often linked to physical workload factors such as heavy lifting, repetitive movements, and awkward postures. These factors can negatively impact health and work efficiency. Simple tools like questionnaires are essential for studying physical workload. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the Physical Workload Questionnaire for Persian-speaking populations (PWQ-Pr).

methodsThe study involved 255 participants and followed standard guidelines for translation and cultural adaptation. Various psychometric properties were assessed, including face validity through interviews, construct validity via hypothesis testing and factor analysis, content validity using the Content Validity Index (CVI), convergent validity through Pearson's correlation with the Spine Functional Index (SFI), internal consistency using Cronbach's alpha, and test-retest reliability assessed through the intra-class correlation coefficient (ICC) and standard measurement error over a 10-day period.

resultsGood internal consistency (α = 0.89) and high test-retest reliability (ICC = 0.90, 95% confidence interval: 0.81-0.94) were obtained. Convergent validity was indicated by a correlation of r = 0.41 (P < 0.001) with the SFI questionnaire. Content Validity (CVI = 0.93) was approved. Factor analysis identified two distinct factors within the PWQ-Pr, explaining 52.07% of the variance. Hypothesis testing indicated significant differences in physical workload across job types and among individuals with and without spinal musculoskeletal disorders (MSDs), with eight hypotheses confirmed out of twelve tested.

conclusionsThe Persian version of the Physical Workload Questionnaire (PWQ-Pr) is a reliable and valid tool for assessing physical workload among Persian-speaking individuals. It is effective in evaluating workload across various job tasks.

Indexed as

Musculoskeletal DiseasesWorkloadAdultCross-Cultural ComparisonFemaleHumansIranMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingTranslationsYoung AdultMusculoskeletal disordersPersianPhysical workloadPWQReliabilityValidity

Identifiers

PMID39893399
PMCPMC11786373

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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.