Cargando…

Investigation of musculoskeletal symptoms in a manufacturing company in Brazil: a cross-sectional study

BACKGROUND: Musculoskeletal disorders are prevalent and represent the most common health problem among the working population in industrially-developing countries, with considerable costs and impact on quality of life. Despite the high incidence of disability insurance claims among Brazilian manufac...

Descripción completa

Detalles Bibliográficos
Autores principales: Hembecker, Paula K., C. Reis, Diogo, Konrath, Andréa C., A. Gontijo, Leila, D. Merino, Eugenio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Departamento de Fisioterapia da Universidade Federal de Sao Carlos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537463/
https://www.ncbi.nlm.nih.gov/pubmed/28473285
http://dx.doi.org/10.1016/j.bjpt.2017.03.014
Descripción
Sumario:BACKGROUND: Musculoskeletal disorders are prevalent and represent the most common health problem among the working population in industrially-developing countries, with considerable costs and impact on quality of life. Despite the high incidence of disability insurance claims among Brazilian manufacturing-sector workers, only a few studies assessed musculoskeletal disorders prevalence. OBJECTIVE: To provide information on the prevalence of musculoskeletal disorders among manufacturing-sector workers and to explore the relationship between musculoskeletal disorders and sociodemographic and occupational characteristics in a medium metallurgical company located in Brazil. METHODS: A cross-sectional study was carried out. Data was collected through the use of a specifically-designed questionnaire and the items used to collect musculoskeletal disorders data were based on the Nordic Musculoskeletal Questionnaire. Descriptive statistics were used and multivariate logistic regression analysis (p < 0.02) was performed to explore the associations between musculoskeletal disorders and potential risk factors. RESULTS: The upper limb was the most frequently affected body region among manufacturing-sector workers: shoulder (24.8%), elbow and/or forearm (15.5%), wrist and/or hand (19.0%). Adjusted logistic regression analysis showed that company experience (p = 0.02), presence of sleep disorders (p = 0.00), self-reported general health state (p = 0.00) and perform work pause (p = 0.00) were significant risk factors for development of musculoskeletal disorders. CONCLUSION: Sociodemographic and work-related aspects are influential risk factors for musculoskeletal disorders. These results add comprehension about musculoskeletal disorders prevalence and suggest a need for greater emphasis on prevention strategies.