Evidence map›Paper›PMID 40966211›Full record

ArticlePloS one2025

Prevalence and associated factors of occupational injuries among garment and textile workers: Evidence from the Bangladesh Labour Force Survey 2016-17.

Md Tariqujjaman, Arifa Farzana Tanha, Md Alamgir Hossain, Abul Hares, Md Matiur Rahaman, Nadia Sultana, Fahmida Ferdous, Md Mehedi Hasan, Md Rashidul Azad

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Md TariqujjamanNutrition Research Division, icddr, b, Dhaka, Bangladesh.ORCID 0000-0002-0172-9501
Arifa Farzana TanhaNutrition Research Division, icddr, b, Dhaka, Bangladesh.
Md Alamgir HossainMaternal and Child Health Division, icddr, b, Dhaka, Bangladesh.ORCID 0000-0003-4514-1934
Abul HaresHealth Systems and Population Studies Division, icddr, b, Dhaka, Bangladesh.
Md Matiur RahamanDepartment of Social Policy and Social Security Studies, Bonn-Rhein-Sieg University of Applied Sciences, Bonn, Germany.
Nadia SultanaNutrition Research Division, icddr, b, Dhaka, Bangladesh.
Fahmida FerdousBangladesh Bureau of Statistics, Dhaka, Bangladesh.
Md Mehedi HasanPoche Centre for Indigenous Health, The University of Queensland, Brisbane, Queensland, Australia.
Md Rashidul AzadHouse of Research and Development, Dhaka, Bangladesh.ORCID 0000-0002-2003-2726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annually, numerous workers face job loss, injuries, and fatalities due to various occupational injuries (OIs). However, less is known regarding the burden of OIs and their associated factors in the textile and garment industries in Bangladesh. This study aimed to determine the prevalence of OI and the individual and job-related factors associated with OI among textile and garment workers in Bangladesh. We analyzed cross-sectional data of 13,738 workers collected during 2016-2017 from the nationally representative Bangladesh Labor Force Survey. We employed multiple Firth logistic regression models to explore the different levels of associated factors of OI. The overall prevalence of OI was 1.8%, with a higher prevalence in the textile industry (3.8%) compared to the garment industry (1.2%). Within the textile industry, jute manufacturing exhibited the highest prevalence (12.3%), while in the garment sector, the embroidery and wearing industries had the highest prevalence (1.8%). Adjusted models revealed that, in the textile industry, migrant workers had higher odds of OI (Adjusted Odds Ratio, AOR = 1.65; p = 0.017) compared to non-migrant workers. In the garment industry, male workers (AOR = 1.95; p = 0.002) and those working over 48 hours per week (AOR = 1.70; p = 0.063) were at greater risk of OI. A hazardous work environment significantly increased the odds of OI in both industries (textile: AOR = 13.06; p < 0.001; and garment: AOR = 3.13; p < 0.001). Additionally, garment workers without adequate protective equipment or cloth while working had a higher likelihood of OI (AOR = 1.90; p = 0.006). Regionally, workers in the Barisal division had higher odds of OI in the textile industry. Although the overall prevalence of OI was low, the disproportionate burden among certain subgroups, especially in jute manufacturing and the manufacture of spooling and thread, highlights critical areas for intervention. Improving workplace safety through the provision of protective equipment and a safer working environment is essential to mitigating OI in the textile and garment industries of Bangladesh.

Indexed as

Occupational InjuriesTextile IndustryAdolescentAdultBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesTextilesYoung Adult

Identifiers

PMID40966211
PMCPMC12445486

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LicenceCC BY
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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.