2016
DOI: 10.4184/asj.2016.10.3.501
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A Multidisciplinary Work-Related Low Back Pain Predictor Questionnaire: Psychometric Evaluation of Iranian Patient-Care Workers

Abstract: Study DesignPsychometric evaluation design.PurposePsychometric evaluation of a multidisciplinary work-related low back pain predictor questionnaire (MWRLBPPQ) of Iranians patient-care workers based on the social cognitive theory.Overview of LiteratureHealthcare is one of the professions in which work-related musculoskeletal disorders are prevalent. The chronic low back pain experienced by patient caregivers can negatively impact their professional performance, and patient handling in a hospital is the main cau… Show more

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Cited by 5 publications
(3 citation statements)
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“…The educational program was based on four concepts of social cognitive theory that have been shown to predict healthy behaviors among nursing assistants suffering from low back pain. The procedure used to determine these predictors has been described elsewhere [ 11 ]. Because of the nature of the intervention, we could not mask the participants or treatment providers to the treatment assignment, but blinding was used for the data analyses.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The educational program was based on four concepts of social cognitive theory that have been shown to predict healthy behaviors among nursing assistants suffering from low back pain. The procedure used to determine these predictors has been described elsewhere [ 11 ]. Because of the nature of the intervention, we could not mask the participants or treatment providers to the treatment assignment, but blinding was used for the data analyses.…”
Section: Methodsmentioning
confidence: 99%
“…After assessing the content validity, the questionnaire was simplified so that each participant could answer the questions easily. These procedures have been described in a previous study [ 11 ]. A pilot study was conducted among 25 nursing assistants from different units in Qom hospitals to determine the face validity of each question.…”
Section: Methodsmentioning
confidence: 99%
“…A principal component analysis with varimax rotation was performed to extract the underlying factors factor. Factor loadings equal or greater than 0.4 were considered appropriate (17). Eigenvalues above 1 and scree plots were used for determining the number of statements.…”
Section: Samplementioning
confidence: 99%