Evidence map›Paper›PMID 39045996›Full record

ArticleCadernos de saude publica2024

Space-time analysis of work-related musculoskeletal disorders in Brazil: an ecological study.

Alanna Gleice Carvalho Fontes Lima, Caíque Jordan Nunes Ribeiro, Shirley Verônica Melo Almeida Lima, Yanna Menezes Barbosa, Iris Machado de Oliveira, Karina Conceição Gomes Machado de Araújo

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The role of the occupational physician in the early detection of occupational diseases.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alanna Gleice Carvalho Fontes LimaUniversidade Federal de Sergipe, Aracaju, Brasil.ORCID 0000-0001-7911-776X
Caíque Jordan Nunes RibeiroUniversidade Federal de Sergipe, Aracaju, Brasil.ORCID 0000-0001-9767-3938
Shirley Verônica Melo Almeida LimaUniversidade Federal de Sergipe, Aracaju, Brasil.ORCID 0000-0002-9062-0742
Yanna Menezes BarbosaUniversidade Federal de Sergipe, Aracaju, Brasil.ORCID 0000-0002-7796-3038
Iris Machado de OliveiraUniversidad de Vigo, Pontevedra, España.ORCID 0000-0003-2143-7722
Karina Conceição Gomes Machado de AraújoUniversidade Federal de Sergipe, Aracaju, Brasil.ORCID 0000-0002-4495-7491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesSpatio-Temporal AnalysisAdultBayes TheoremBrazilFemaleHumansIncidenceMaleRisk Factors

Identifiers

PMID39045996
PMCPMC11286264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.