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Authordc.contributor.authorCerda, Leonidas 
Authordc.contributor.authorCerda, Eduardo 
Authordc.contributor.authorOlivares, Giovanni 
Authordc.contributor.authorVillalobos, Victoria 
Authordc.contributor.authorAntúnez, Marcela 
Authordc.contributor.authorRodríguez Arenas, Carolina 
Admission datedc.date.accessioned2019-05-31T15:33:56Z
Available datedc.date.available2019-05-31T15:33:56Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationAdvances in Intelligent Systems and Computing, Volumen 820, Pages 570–578, 2019
Identifierdc.identifier.issn21945357
Identifierdc.identifier.other10.1007/978-3-319-96083-8_75
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169676
Abstractdc.description.abstractThis study aims to identify musculoskeletal health conditions present in a population that works in several different productive sectors in Chile in order to determine the physical risk factors in that type of labor and relation between these risk factors and upper limb musculoskeletal symptomatology. An analytic, nonexperimental, transversal association study was carried out with a sample of 390 worker’s tasks, confidence level of 95%, standard deviation of 5% and maximal variability. Representative task per trade-workers of six different sectors was evaluated. Results describe most representative physical risk factors. In industrial sector were: posture and strength; in service sector: repetitive movement and force factors; in mining sector: repetitive movement and posture and strength; in agriculture sector: repetitive movement, posture and recovery time; in construction sector: posture, repetitive movement and strength; in aquaculture sector: repetitive movement and recovery time. There was a high prevalence of musculoskeletal complaints, of 69,74% in the sample evaluated with Nordic Musculoskeletal Questionnaire. There was no association between musculoskeletal health condition and identification of risk factors (Fisher p-value 0,587). Statistically significant association was found between physical risk factors identified and specific productive sectors chosen (p-value = 0.0001). There is a high prevalence of musculoskeletal symptoms in all productive sectors studied. Productive sectors that present most specific risk factors are Aquaculture, Agriculture, and Industry Sector and this translates into a high prevalence of physical risk factors. The model of the applied tools is efficient to perform the surveillance of the ergonomic risk factors and the musculoskeletal health condition.
Lenguagedc.language.isoen
Publisherdc.publisherSpringer Verlag
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceAdvances in Intelligent Systems and Computing
Keywordsdc.subjectErgonomic risk factors
Keywordsdc.subjectUpper limb
Keywordsdc.subjectWork-related musculoskeletal disorders
Títulodc.titleA presentation of the ergonomic analysis of risk factors in productive sectors of Chile and their relation with upper limb musculoskeletal symptomatology
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile