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Enregistrement W4407068813 · doi:10.33137/cpoj.v7i2.44064

PREVALENCE OF WORK-RELATED MUSCULOSKELETAL DISORDERS AMONG IRANIAN ORTHOTISTS AND PROSTHETISTS: A STUDY ON WORK-RELATED QUALITY OF LIFE

2025· article· en· W4407068813 sur OpenAlexvenueaboutno aff
Vahideh Moradi, Behnam Hajiaghaei, Taher Babaee

Notice bibliographique

RevueCanadian Prosthetics & Orthotics Journal · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMusculoskeletal pain and rehabilitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMusculoskeletal disorderQuality of life (healthcare)Work-related musculoskeletal disordersCross-sectional studySpearman's rank correlation coefficientPhysical therapyHuman factors and ergonomicsEnvironmental healthPoison controlStatistics

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Work-related musculoskeletal injuries are prevalent globally and can impact both work efficiency and the quality of services offered to patients. OBJECTIVES: This study investigated the prevalence of work-related musculoskeletal disorders among Iranian orthotists and prosthetists and its relationship with work-related quality of life. METHODOLOGY: In this cross-sectional study, the Persian versions of the Nordic Musculoskeletal Questionnaire (NMQ) and Work-Related Quality of Life (WRQoL) scale were used to identify disorders of different body parts and occupational quality of life. A group of 263 orthotists and prosthetists were invited to complete the questionnaires using a simple random sampling method. The data from 188 respondents were analyzed. The association between WRQoL and the following variables: gender, work experience, age, presence of musculoskeletal disorder, and income level, was assessed using Spearman’s rho correlation coefficient. FINDINGS: There was an 82% prevalence of work-related musculoskeletal disorders among the participants. The most common areas involved were the lower back (35%) and neck (28%). There was a statistically significant relationship between gender (rs(188) = 0.16, p = 0.031) and weight (rs(188) = 0.15, p = 0.045) and work-related musculoskeletal disorders, however, the strength of the correlation was very small. Moreover, the WRQoL had a statistically significant but small to negligible relationship with gender (rs(188) = 0.17, p = 0.016), work experience (rs(188) = 0.18, p = 0.011), age (rs(188) = 0.15, p = 0.039), and income (rs(178) = 0.17, p = 0.025). There was no significant relationship between work-related musculoskeletal disorders and the total score of WRQoL scale. CONCLUSION: While the prevalence of work-related musculoskeletal disorders is high among Iranian orthotists and prosthetists, the average WRQoL presents an opportunity for improvement. The findings indicate associations between work-related disorders and factors such as gender, work experience, age, and income, emphasizing the need for plans to improve working conditions and prevent these disorders. Conducting ergonomic assessments of workstations, increasing employee income, and implementing training programs that focus on proper lifting techniques, posture, and the use of ergonomic tools may help reduce work-related musculoskeletal disorders in orthotists and prosthetists. Layman's Abstract Work-related musculoskeletal injuries are among the most severe occupational issues worldwide. Orthotists and prosthetists are at a high risk of suffering from musculoskeletal disorders due to repetitive tasks, high workload, poor working conditions, and occupational stress. In this study, the prevalence of work-related musculoskeletal disorders among Iranian orthotists and prosthetists and its relationship with work-related quality of life were assessed. The studied orthotists and prosthetists had an 82% prevalence of musculoskeletal disorders. This study found a small to negligible relationship between gender and weight with work-related musculoskeletal disorders. Additionally, the work-related quality of life showed a small to negligible connection with gender, work experience, age, and income. However, there was no clear link between work-related musculoskeletal disorders and the overall score on the WRQoL scale. This highlights the need for better working conditions to help prevent these issues. Assessing workstations for ergonomics, increasing employee pay, and offering training on proper lifting techniques, posture, and ergonomic tools may help reduce these disorders among orthotists and prosthetists. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/44064/33651 How To Cite: Azizi S, Moradi V, Hajiaghaei B, Babaee T. Prevalence of work-related musculoskeletal disorders among Iranian orthotists and prosthetists: A study on work-related quality of life. Canadian Prosthetics & Orthotics Journal. 2024; Volume 7, Issue 2, No. 6. https://doi.org/10.33137/cpoj.v7i2.44064 Corresponding Author: Dr. Taher Babaee, PhD, CPOAffiliation: Department of Orthotics and Prosthetics, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.E-Mail: babaee.t@iums.ac.irORCID ID: https://orcid.org/0000-0002-1487-2374

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,280
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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