Evidence map›Paper›PMID 37140979›Full record

ArticleJMIR research protocols2023

Exploring the Efficacy of a Set of Smart Devices for Postural Awareness for Workers in an Industrial Context: Protocol for a Single-Subject Experimental Design.

Mário Lopes, Susana Lopes, Mariana Monteiro, Mário Rodrigues, Aureliano Fertuzinhos, Augusto de Sousa Coelho, Paulo Matos, Abílio Borges, Teófilo Leite, Cátia Sampaio and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

12 authors.

Mário LopesSchool of Health Sciences and Institute of Biomedicine, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0001-9790-2120
Susana LopesSchool of Health Sciences and Institute of Biomedicine, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-4090-615X
Mariana MonteiroSchool of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0001-8418-5142
Mário RodriguesSchool of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0001-6828-0166
Aureliano FertuzinhosCeNTI - Centre for Nanotechnology and Smart Materials, V N Famalicão, Portugal.ORCID https://orcid.org/0000-0002-5564-751X
Augusto de Sousa CoelhoResearch Institute for Design, Media and Culture [ID+], School of Design, Management and Production Technologies Northern Aveiro, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-1820-5026
Paulo MatosATENA Automação Industrial, Lda, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-5816-6711
Abílio BorgesATENA Automação Industrial, Lda, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-9367-130X
Teófilo LeiteICC - Indústrias e Comércio de Calçado, SA, Guimarães, Portugal.ORCID https://orcid.org/0000-0002-3928-7788
Cátia SampaioICC - Indústrias e Comércio de Calçado, SA, Guimarães, Portugal.ORCID https://orcid.org/0000-0001-8559-3092
Rui CostaSchool of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-2408-2947
José AlvarelhãoSchool of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-4564-4323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn manufacturing industries, tasks requiring poor posture, high repetition, and long duration commonly induce fatigue and lead to an increased risk of work-related musculoskeletal disorders. Smart devices assessing biomechanics and providing feedback to the worker for correction may be a successful way to increase postural awareness, reducing fatigue, and work-related musculoskeletal disorders. However, evidence in industrial settings is lacking.

objectiveThis study protocol aims to explore the efficacy of a set of smart devices to detect malposture and increase postural awareness, reducing fatigue, and musculoskeletal disorders.

methodsA longitudinal single-subject experimental design following the ABAB sequence will be developed in a manufacturing industry real context with 5 workers. A repetitive task of screw tightening of 5 screws in a standing position into a piece placed horizontally was selected. Workers will be assessed in 4 moments per shift (10 minutes after the beginning of the shift, 10 minutes before and after the break, and 10 minutes before the end of the shift) in 5 nonconsecutive days. The primary outcomes are fatigue, assessed by electromyography, and musculoskeletal symptoms assessed by the Nordic Musculoskeletal Questionnaire. Secondary outcomes include perceived effort (Borg perceived exertion scale); range of motion of the main joints in the upper body, speed, acceleration, and deceleration assessed by motion analysis; risk stratification of range of motion; and cycle duration in minutes. Structured visual analysis techniques will be conducted to observe the effects of the intervention. Results for each variable of interest will be compared among the different time points of the work shift and longitudinally considering each assessment day as a time point.

resultsEnrollment for the study will start in April 2023. Results are expected to be available still in the first semester of 2023. It is expected that the use of the smart system will reduce malposture, fatigue, and consequently, work-related musculoskeletal pain and disorders.

conclusionsThis proposed study will explore a strategy to increase postural awareness in industrial manufacturing workers who do repetitive tasks, using smart wearables that provide real-time feedback about biomechanics. Results would showcase a novel approach for improving self-awareness of risk for work-related musculoskeletal disorders for these workers providing an evidence base support for the use of such devices. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/43637.

Indexed as

awarenessbiomechanicsdevicesfatiguemotion sensingmusculoskeletal disorderoccupational safetyposturepressure sensingsmart devicesmart healthsmart wear

Identifiers

PMID37140979
PMCPMC10196891

What OpenQuestion holds

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LicenceCC BY
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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.