Evidence map›Paper›PMID 42058766›Full record

ArticlePublic health challenges2026

Functional Sewing Workstation Design by Analyzing Male Bangladeshi Anthropometric Measurement in the Ready-Made Garment Industry.

Md Hasan Ali, Manjarul Hasan, Abdul Ahad, Raihan Ahmed Redoy, Md Johirul Islam, Md Al Amin, Mashrur Alam Koushik, Raihan Ahmed Joy, Md Munem Shahriar M M Shahriar

Abstract read
In one paragraph

Article in Public health challenges, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

9 authors.

Md Hasan AliDepartment of Industrial Engineering and Management Khulna University of Engineering & Technology Khulna Bangladesh.ORCID https://orcid.org/0009-0004-5851-0035
Manjarul HasanDepartment of Industrial & Production Engineering National Institute of Textile Engineering and Research (NITER) Dhaka Bangladesh.
Abdul AhadDepartment of Industrial & Production Engineering National Institute of Textile Engineering and Research (NITER) Dhaka Bangladesh.
Raihan Ahmed RedoyDepartment of Industrial & Production Engineering National Institute of Textile Engineering and Research (NITER) Dhaka Bangladesh.
Md Johirul IslamDepartment of Industrial & Production Engineering National Institute of Textile Engineering and Research (NITER) Dhaka Bangladesh.
Md Al AminDepartment of Industrial & Production Engineering National Institute of Textile Engineering and Research (NITER) Dhaka Bangladesh.
Mashrur Alam KoushikDepartment of Industrial Engineering and Management Khulna University of Engineering & Technology Khulna Bangladesh.
Raihan Ahmed JoyDepartment of Industrial Engineering and Management Khulna University of Engineering & Technology Khulna Bangladesh.ORCID https://orcid.org/0009-0005-0042-6938
Md Munem Shahriar M M ShahriarDepartment of Industrial Engineering and Management Khulna University of Engineering & Technology Khulna Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes the anthropometric dimensions of Bangladeshi male sewing machine operators and their application in designing ergonomic workstations for the ready-made garments (RMG) industry. A cross-sectional anthropometric survey was conducted among 155 male sewing machine operators aged 18-30 years from a garment factory in Tangail, Bangladesh. A total of 44 body dimensions were measured in standing and sitting postures using standard anthropometric instruments. Descriptive statistics, comprising mean, standard deviation, and specific percentile values, were computed to inform preliminary workstation design decisions. Ergonomic risk was assessed using rapid upper limb assessment (RULA) and Rapid Entire Body Assessment (REBA) methods on the basis of observed and proposed posture. Results indicate a mismatch between existing workstation design and operator anthropometric measurements. The proposed workstation decreased RULA scores from 6-7 to 3-4 and REBA scores from 8-9 to 4-5, resulting in increased worker comfort, diminished injury risks, and enhanced ergonomic conditions. However, because of the small sample size and lack of experimental validation, the findings should be considered preliminary. The research establishes a preliminary anthropometric benchmark for subsequent ergonomic design and extensive validation studies within the Bangladeshi RMG sector.

Indexed as

anthropometric measurementBangladeshi workersRapid Entire Body Assessment (REBA)rapid upper limb assessment (RULA)RMG male workersworkstation design

Identifiers

PMID42058766
PMCPMC13123448

What OpenQuestion holds

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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.