Evidence map›Paper›PMID 36157059›Full record

ArticlePeerJ2022

Thermography in ergonomic assessment: a study of wood processing industry workers.

Denise Ransolin Soranso, Luciano José Minette, Marcio Marçal, João Carlos Bouzas Marins, Stanley Schettino, Roldão Carlos A Lima, Michel Oliveira

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

7 authors.

Denise Ransolin SoransoInstitute of Production Engineering and Management, Federal University of Itajubá, Itajubá, Minas Gerais, Brazil.
Luciano José MinetteDepartment of Production Engineering and Mechanics, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Marcio MarçalDepartment of Physiotherapy, Federal University of Vales do Jequitinhonha and Mucuri, Diamantina, Minas Gerais, Brazil.
João Carlos Bouzas MarinsDepartment of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Stanley SchettinoInstitute of Agrarian Sciences, Federal University of Minas Gerais, Montes Claros, Minas Gerais, Brazil.
Roldão Carlos A LimaSchool of Agriculture, São Paulo State University, Botucatu, São Paulo, Brazil.
Michel OliveiraCenter for Agricultural Sciences and Engineering, Federal University of Espírito Santo, Jerônimo Monteiro, Espírito Santo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Workers in the wood processing industry perform activities that demand great physical and ergonomic demands, which favors the emergence of inflammatory processes and in turn the occurrence of heat regions in the body, thus making it possible to assess the inflammatory level by means of temperature gradients. This study aimed to evaluate the use of thermography as an ergonomic analysis tool to identify regions with musculoskeletal overload in workers in a wood processing industry. Methods: The study was conducted with nine workers in the central-west region of Brazil. The evaluations to obtain the thermographic images were carried out before the beginning of the workday, on Monday (day I) and on Friday (day II), in order to verify the overload regions in the accumulation of days worked. The thermal images were collected in an acclimatized room with controlled conditions where the participants remained with the upper part of their bodies bare for acclimatization, and then the lumbar and scapular regions were evaluated. The images were obtained using the FLUKE TI 400 Thermal Imager, with analysis using the SmartView software program to demarcate the body regions of interest. Results: The mean temperature values obtained on day I did not significantly differ from the mean values obtained on day II. Qualitative analysis showed thermal patterns with high temperature at the same points on both evaluated days. Although the thermographic analysis performed in this study cannot provide definitive results, they generally helped to provide evidence for a more accurate diagnosis in the evaluated workers.

Indexed as

ThermographyWoodErgonomicsHumansTemperatureUpper ExtremityOccupational diseasesThermal patternsWood splitting

Identifiers

PMID36157059
PMCPMC9504449

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.