Evidence map›Paper›PMID 41048869›Full record

ArticleSafety and health at work2025

Occupational Hazards in Lead-acid Battery Factories in Bangladesh: Assessing Excess Heat, Noise, Chemical Exposures, and Health Impacts on Workers.

Shobhan Das, Tilak C Nath, Matiur Rahman, Jamal Uddin, Naznin Naher, Margia Akter, Masudur Rahman, Atin Adhikari

Abstract read
In one paragraph

Article in Safety and health at work, 2025. 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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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

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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

8 authors.

Shobhan DasJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
Tilak C NathDepartment of Parasitology, Sylhet Agricultural University, Bangladesh.
Matiur RahmanDepartment of Social Policy and Social Security Studies, Bonn-Rhein-Sieg University of Applied Sciences, Germany.
Jamal UddinDepartment of Statistics, Shahjalal University of Science & Technology, Bangladesh.
Naznin NaherBangabandhu Sheikh Mujib Medical Hospital, Bangladesh.
Margia AkterDepartment of Pathology, Sylhet Agricultural University, Bangladesh.
Masudur RahmanDepartment of Pathology, Sylhet Agricultural University, Bangladesh.
Atin AdhikariJiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lead-acid battery (LAB) manufacturing is growing in Bangladesh because of the expanding automotive industry and low lead prices. Although these factories employ a big workforce, the working environment has led to concerns about the possible health risks for employees. This study aimed to address this issue by investigating workplace chemical and physical hazards in three LAB industries and evaluating health outcomes among workers. Methods: A cross-sectional study was conducted among 72 LAB factory workers, and participants were recruited by simple random sampling. A validated questionnaire was used to collect information on self-reported exposures to physical and chemical risks and related health effects. Data analysis was performed by using statistical software SPSS version 25. Results: The age and work experience (Mean ± SD) of the participants were 34.2 ± 7.7 and 10.0 ± 5.7 years, respectively. High workplace temperature and noise from machinery, chemical odors, and skin exposure to acid (H Conclusion: Our study findings indicate that workers in LAB factories in Bangladesh are exposed to extreme temperatures, hazardous materials, and uncomfortable levels of noise, which can lead to serious health risks. To ensure the safety and well-being of employees, the LAB manufacturing sector in Bangladesh requires the immediate implementation of proper occupational health and safety standards.

Indexed as

BangladeshHazard assessmentLead exposureOccupational safetyWorkplace environment

Identifiers

PMID41048869
PMCPMC12490677

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LicenceCC BY-NC-ND
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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.