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Back and Shoulder Biomechanical Load in Curbside Waste Workers

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Advances in Physical, Social & Occupational Ergonomics (AHFE 2020)

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Abstract

Data from various countries (USA, Great Britain, Brazil, Italy, India, etc.) shows a significant prevalence and incidence of musculoskeletal disorders in kerbside waste collection workers. We investigated some biomechanical parameters of the task of pouring bins in collection kerb through 3DSSPP software. (v 7.0.6). Bins manual handling was investigated in four different operating modes: through 1) a lorry side window; 2) at the back of the lorry; 3) in a certified container; 4) in a non-certified container. 3DSSPP risk assessment showed that bin pouring implies a high level of biomechanical load in each of the four modes. The most dangerous mode was that in which the worker empties the bin directly into the back of the van (mode 2). 3DSSPP showed significant values of percentage of maximum voluntary contraction (%MVC) for trunk flexion (67% MVC), left shoulder abduction (30% MVC) and left wrist ulnar deviation (50% MVC). These values imply a low level of the maximum recommended exertion duty cycle (1% for trunk flexion, 3.2% for left wrist ulnar deviation). Also the balance was unacceptable. Emptying technique that showed the lowest level of risk was mode 3 (certified container) that reported 29% of MVC for trunk flexion and a maximum recommended exertion duty cycle of 13.6%. 3DSSPP showed no relevant values of orthogonal and shear forces at L4/L5 and L5/S1 levels. Finally, this technique was the only one that showed an acceptable balance. It would be desirable to design the vehicles for collection with easier access, as the operator is continuously getting on and off.

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Silvetti, A., Fiori, L., Tatarelli, A., Ranavolo, A., Draicchio, F. (2020). Back and Shoulder Biomechanical Load in Curbside Waste Workers. In: Karwowski, W., Goonetilleke, R., Xiong, S., Goossens, R., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1215. Springer, Cham. https://doi.org/10.1007/978-3-030-51549-2_31

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  • DOI: https://doi.org/10.1007/978-3-030-51549-2_31

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