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Space-time analysis of work-related musculoskeletal disorders in Brazil

An Ecological Study

Bibliographic Data

ID5168893
AuthorsAlanna Gleice Carvalho Fontes Lima (0000-0001-7911-776X, Universidade Federal de Sergipe), Caíque Jordan Nunes Ribeiro (0000-0001-9767-3938, Universidade Federal de Sergipe), Shirley Verônica Melo Almeida Lima (0000-0002-9062-0742, Universidade Federal de Sergipe), Yanna Menezes Barbosa (0000-0002-7796-3038, Universidade Federal de Sergipe), Iris Machado De Oliveira (0000-0003-2143-7722, Universidade de Vigo), Karina Conceição Gomes Machado De Araújo (0000-0003-4433-5227, Universidade Federal de Sergipe), Machado Abreu Ferreira Conceição de Maria de (0000-0002-4495-7491, Universidade Federal de Sergipe)
Year2024
Volume40
Issue7
Pagese00141823-e00141823
Publication date2024-01-01
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311xen141823
PMID39045996
OpenAlexW4400888684
SciELOS0102-311X2024000701400
LanguageEN
Citations received1
References cited21

This study aimed to analyze the incidence of work-related musculoskeletal disorders (WMSD) in Brazil from 2007 to 2019, examining the spatial, temporal, and spatiotemporal patterns of their occurrence. An ecological time series study was conducted using spatial analysis techniques. WMSD morbidity data from 2007 to 2019 were collected from the Brazilian Information System for Notificable Diseases of the Brazilian Health Informatics Department. Incidence rates were standardized and smoothed using the local empirical Bayes' theorem. Time trends were analyzed by segmented linear regression. Spatial analysis was performed using Moran's univariate global (I) and local (LISA) indexes. The spatiotemporal scan statistic was used to identify high-risk spatiotemporal clusters for WMSD. A total of 93,387 cases of WMSD were recorded in Brazil. Temporal trends showed an increase in all regions except the Northeast, which remained stable. The incidence of WMSD showed a spatial dependence, with spatial and space-time clusters identified, especially in the Southeast region, overlapping the largest economic-industrial center of the country. The spatiotemporal clustering observed in one region suggests the highest level of industrial and economic development. Our findings highlight the need to implement intersectoral surveillance policies, inspect working conditions, and invest in the prevention and promotion of workers' health

Bayes' theorem · Bayesian probability · Cartography · Cluster analysis · Environmental health · Geography · Incidence (geometry) · Multivariate statistics · Remote sensing · Scan statistic · Spatial analysis · Statistic · Statistics · Univariate · Work-related musculoskeletal disorders · Mathematics · Medicine · Musculoskeletal pain and rehabilitation · Occupational Health and Safety Research · Occupational health in dentistry

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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