Evidence map›Paper›PMID 38365445›Full record

ArticleJournal of occupational health2024

Hierarchical clustering analysis of musculoskeletal stress factors and their risk level in cardboard manufacturing: research from PLIBEL.

Martha Roselia Contreras-Valenzuela, Carlos Alejandro Martínez-Ibanez

Open access · goldAbstract read
In one paragraph

Article in Journal of occupational health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Martha Roselia Contreras-ValenzuelaFaculty of Chemical Sciences and Engineering, Autonomous University of Morelos State (UAEM), Avenida Universidad 1001, Colonia Chamilpa, CP 62209, Cuernavaca Morelos, México.
Carlos Alejandro Martínez-IbanezFaculty of Chemical Sciences and Engineering, Autonomous University of Morelos State (UAEM), Avenida Universidad 1001, Colonia Chamilpa, CP 62209, Cuernavaca Morelos, México.
Universidad Autónoma del Estado de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA hierarchical cluster analysis for the cardboard manufacturing industry was developed with the aim of identifying similarities between workstations in terms of musculoskeletal stress factors (MSFs) and their impact on workers' bodies.

methodsThe hierarchical clustering analysis was conducted using data from 44 workstations, which included 6 body part divisions and 51 stress factors as variables with 36 answer options. Firstly, the content of the dataset was defined. Secondly, the data were agglomerated and classified into 3 clusters using Ward's method based on the presence or absence of stress factors. Finally, the multivariable matrix was reduced to 2 factors: the x-axis representing the risk level of the workstation, and the y-axis representing the impact on the workers' health.

resultsThe study found that workers' knees were the most affected body parts, with 47 cases. The resulting work-related musculoskeletal disorders included tendinitis, arthralgia, chondromalacia, and gonarthrosis. The MSF with the most significant impact on the body's health was fatiguing work that involves repeated jumps, prolonged squatting, or kneeling, present in cluster 1 and cluster 3. Moreover, two of the most common MSFs associated with repeated work positions were identified: a mild forward flexion of the back (63 cases) in combination with one leg being used more often to support the body (56 cases).

conclusionsIt was possible to identify the main work-related musculoskeletal disorders and the associated stress factors for the cardboard manufacturing industry by using hierarchical cluster classification and analysis, enabling the classification of risk levels and the impact on body health for each workstation.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesCluster AnalysisErgonomicsHumansRisk FactorsSurveys and Questionnairescardboard manufacturingclusteringergonomicsmusculoskeletal disordersrisk assessmentrisk factors

Identifiers

PMID38365445
PMCPMC11019563
OpenAlexW4391902788

What OpenQuestion holds

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LicenceCC BY-NC
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.