Evidence map›Paper›PMID 37355924›Full record

ArticleWork (Reading, Mass.)2023

Recruiting participants for ergonomic research using self-reported stature and body mass.

Halil Kılıç, Gerbera Vledder, Xinhe Yao, Willemijn S Elkhuizen, Yu Song, Peter Vink

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Work (Reading, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Halil KılıçDepartment of Woodworking Industrial Engineering, Faculty of Technology, Muğla Sıtkı Koçman University, Muğla, Turkey.
Gerbera VledderFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Xinhe YaoFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Willemijn S ElkhuizenFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Yu SongFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Peter VinkFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA valid distribution of key anthropometric parameters among participants is often a perquisite of ergonomics research.

objectiveIn this paper, we investigated the accuracy of self-reported stature and body mass of the population in the Netherlands.

methodsData from 4 experiments was synthesized where in each experiment, participants self-reported their stature and body mass prior to being measured, of which they were not notified before.

resultsStatistical analysis of 249 records indicated that on average, participants overreported their stature by 1.31 cm and underreported their mass by 1.45 kg. This is especially true for people with a BMI≥25.

conclusionTwo models were proposed to adjust the self-reported stature and body mass for ergonomic researchers in a survey or recruitment. Limitations in using the models are highlighted as well.

Indexed as

Body HeightErgonomicsBody Mass IndexBody WeightHumansSelf ReportSurveys and QuestionnairesAnthropometricsbody mass indexparticipatory research

Identifiers

PMID37355924
PMCPMC10741307

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.