Evidence map›Paper›PMID 35721575›Full record

ArticleEXCLI journal2022

Ergonomic assessment of postal workers' pain symptoms and musculoskeletal risks related to parcel processing activity for delivery.

Lincoln Silva, Nélson Costa, Carolina Schutz Rosa, Irandir Izaquiel Paulo, Natália Mattos da Silva, Cesar Giracca, Sabrina da Silveira Simões, Adriana do Nascimento Aquini, Giselle Merino, Eugenio Andrés Díaz Merino

Open access · greenAbstract read
In one paragraph

Article in EXCLI journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 1 institution in 1 country.

Lincoln SilvaALGORITMI Research Centre (Portugal). Minho University - Azurém, Guimarães, PT.
Nélson CostaALGORITMI Research Centre (Portugal). Minho University - Azurém, Guimarães, PT.
Carolina Schutz RosaUniversidade Federal de Santa Catarina, Florianópolis, SC.
Irandir Izaquiel PauloUniversidade Federal de Santa Catarina, Florianópolis, SC.
Natália Mattos da SilvaUniversidade Federal de Santa Catarina, Florianópolis, SC.
Cesar GiraccaUniversidade Federal de Santa Catarina, Florianópolis, SC.
Sabrina da Silveira SimõesEmpresa Brasileira de Correios und Telégrafos (ECT), Brasilia.
Adriana do Nascimento AquiniEmpresa Brasileira de Correios und Telégrafos (ECT), Brasilia.
Giselle MerinoUniversidade Federal de Santa Catarina, Florianópolis, SC.
Eugenio Andrés Díaz MerinoUniversidade Federal de Santa Catarina, Florianópolis, SC.
Universidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The parcel delivery activity is carried out all over the world and workers in this sector have suffered from musculoskeletal disorders (MSDs) due to the strong demand for work generated by the recent increase in e-commerce. This study aimed to evaluate postal workers' pain symptoms, movements and identify MSDs risks related to the parcel processing activity for delivery, proposing preventive measures. A sample of thirty-two workers was evaluated with the application of sociodemographic and Nordic questionnaires and electrical bioimpedance. The motion capture sensors were used to evaluate right/left shoulder joints, segment C7-T1 (Cervical) and segment L5-S1 (Lumbar) of three postal workers (percentiles of anthropometric data: 5, 50, and 95) during four real work activities that are part of the parcel processing. The analyzed workers presented musculoskeletal complaints in practically all body regions, with a greater prevalence in shoulders, hands, lower back, and knees. According to the Body Mass Index (BMI), they were on average overweight (27.8 ± 3.7 kg/m

Indexed as

anthropometric datamotion capturemusculoskeletal disordersparcel processing

Identifiers

PMID35721575
PMCPMC9203984
OpenAlexW4285742053

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.