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Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry

To determine the short-term associations between biomechanical risk factors and musculoskeletal symptoms in the upper limbs and low back in an automotive company, a longitudinal study with a follow-up of 4 days was conducted in a sample of 228 workers of the assembly and paint areas. Data were analy...

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Autores principales: Assunção, Ana, Moniz-Pereira, Vera, Fujão, Carlos, Bernardes, Sarah, Veloso, António P., Carnide, Filomena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700848/
https://www.ncbi.nlm.nih.gov/pubmed/34948670
http://dx.doi.org/10.3390/ijerph182413062
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author Assunção, Ana
Moniz-Pereira, Vera
Fujão, Carlos
Bernardes, Sarah
Veloso, António P.
Carnide, Filomena
author_facet Assunção, Ana
Moniz-Pereira, Vera
Fujão, Carlos
Bernardes, Sarah
Veloso, António P.
Carnide, Filomena
author_sort Assunção, Ana
collection PubMed
description To determine the short-term associations between biomechanical risk factors and musculoskeletal symptoms in the upper limbs and low back in an automotive company, a longitudinal study with a follow-up of 4 days was conducted in a sample of 228 workers of the assembly and paint areas. Data were analyzed using generalized estimating equations, calculating the crude and adjusted model for age, sex, seniority, and intensity of pain at baseline. The interactions found were the same for both models. Workers were divided in low-risk and high-risk group for posture, force, exposure, percentage of cycle time with the arm at/above shoulder level, and with the trunk flexed or/and strongly flexed. The predictive factors showed by time × group effect were found between pain intensity on the left shoulder for posture (β = 0.221, p < 0.001), percentage of time with the trunk flexed (β = 0.136, p = 0.030) and overall exposure (β = 0.140, p = 0.013). A time × group interactions were observed, namely between neck pain and posture (β = 0.218, p = 0.005) and right wrist and force (β = 0.107, p = 0.044). Workers in the high-risk group were more prone to report unfavorable effects on their self-reported musculoskeletal pain, across a workweek when exposed to specific risk factor, being posture important to neck, right wrist and left shoulder pain.
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spelling pubmed-87008482021-12-24 Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry Assunção, Ana Moniz-Pereira, Vera Fujão, Carlos Bernardes, Sarah Veloso, António P. Carnide, Filomena Int J Environ Res Public Health Article To determine the short-term associations between biomechanical risk factors and musculoskeletal symptoms in the upper limbs and low back in an automotive company, a longitudinal study with a follow-up of 4 days was conducted in a sample of 228 workers of the assembly and paint areas. Data were analyzed using generalized estimating equations, calculating the crude and adjusted model for age, sex, seniority, and intensity of pain at baseline. The interactions found were the same for both models. Workers were divided in low-risk and high-risk group for posture, force, exposure, percentage of cycle time with the arm at/above shoulder level, and with the trunk flexed or/and strongly flexed. The predictive factors showed by time × group effect were found between pain intensity on the left shoulder for posture (β = 0.221, p < 0.001), percentage of time with the trunk flexed (β = 0.136, p = 0.030) and overall exposure (β = 0.140, p = 0.013). A time × group interactions were observed, namely between neck pain and posture (β = 0.218, p = 0.005) and right wrist and force (β = 0.107, p = 0.044). Workers in the high-risk group were more prone to report unfavorable effects on their self-reported musculoskeletal pain, across a workweek when exposed to specific risk factor, being posture important to neck, right wrist and left shoulder pain. MDPI 2021-12-10 /pmc/articles/PMC8700848/ /pubmed/34948670 http://dx.doi.org/10.3390/ijerph182413062 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Assunção, Ana
Moniz-Pereira, Vera
Fujão, Carlos
Bernardes, Sarah
Veloso, António P.
Carnide, Filomena
Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title_full Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title_fullStr Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title_full_unstemmed Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title_short Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry
title_sort predictive factors of short-term related musculoskeletal pain in the automotive industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700848/
https://www.ncbi.nlm.nih.gov/pubmed/34948670
http://dx.doi.org/10.3390/ijerph182413062
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