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Enregistrement W2016799204 · doi:10.1080/21577323.2013.771586

Intervening on the Determinants of Mechanical Exposures: The Effects of a Redesigned Production System on Physical Demands and Worker Perceptions

2013· article· en· W2016799204 sur OpenAlexafffund
Andrew C. Laing, Donald C. Cole, Richard Wells

Notice bibliographique

RevueIIE Transactions on Occupational Ergonomics and Human Factors · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueMusculoskeletal pain and rehabilitation
Établissements canadiensInstitute for Work & HealthPublic Health OntarioUniversity of TorontoUniversity of Waterloo
Organismes subventionnairesUniversity of Waterloo
Mots-clésProduction lineProduction (economics)WorkforcePsychological interventionProcess (computing)Work (physics)StakeholderLow back painOperations managementBusinessMusculoskeletal disorderPhysical medicine and rehabilitationMedicineEngineeringComputer scienceHuman factors and ergonomicsMarketingPoison controlNursingMechanical engineeringEnvironmental healthManagement

Résumé

récupéré en direct d'OpenAlex

OCCUPATIONAL APPLICATIONS Biomechanical analyses confirmed that workers on an existing production system experienced substantial trunk and shoulder loads. The production system design was a major determinant of these high exposures. To reduce these exposures, workplace stakeholders (including local and corporate management and organized labor) engaged with researchers in a participatory design process. Process elements included biomechanical modeling simulations to develop potential configurations, which were subsequently tested by workers during user trials with mock-ups. Based on stakeholder feedback, a new tilted production system was implemented. Formal analyses following installation of the tilted line demonstrated significant decreases in trunk flexion, spinal compression, and muscle activity for the low back and shoulder regions. Workers perceived that the new tilted line made their work significantly easier, safer, and less tiring. The study indicates that interventions at the production system level, developed using a participatory process, can reduce mechanical exposures while improving worker perceptions of job demands. TECHNICAL ABSTRACT Background: The design of an existing production system (flat line) was identified as the dominant driver of mechanical exposures for the low back and upper limb. A participative process was utilized in designing and implementing a tilted line that allowed workers to adopt more upright postures. Purpose: This study aimed to test the hypotheses that the new tilted production system would (1) decrease physical demands of the low back and shoulder, (2) not increase activity of the wrist musculature, (3) reduce workers’ reports of pain intensity, and (4) be perceived as a positive and beneficial change by the workforce. Methods: Eighteen of 22 tilted line workers volunteered to be videotaped (postures input into a biomechanical model of the upper limb/trunk) and have electromyography from the low back, shoulder, and forearm recorded while they worked at four tilted and flat line positions. Self-report questionnaires were used to compare pain intensity scores from workers on the tilted and flat lines. Results: Working on the tilted line was associated with statistically significant reductions in peak trunk angle (mean difference of 11°), L4/L5 spinal compression (314 N), and peak and mean electromyography for the low back (31% and 29%) and dominant shoulder (11% and 12%). No significant differences in pain scores were observed between the two lines. However, workers perceived that the tilted line made their work significantly easier, safer, less tiring, and assisted with their job. Conclusions: Tilting the production system allowed more upright postures, significantly reducing mechanical exposures for the trunk and upper limb. The participatory design approach may have contributed to workers’ positive perceptions about the newly designed production system. Ergonomic interventions that focus on workplace elements that drive mechanical exposures likely increase change impact and intervention intensity and should be an effective way to decrease musculoskeletal disorder risk factors.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,839
Score d'incertitude au seuil0,280

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,017
Tête enseignante GPT0,276
Écart entre enseignants0,258 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations3
Publié2013
Routes d'admission2
Résumé présentoui

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