Dataset on occupational health conditions and safety practices among welders in Bangladesh

This data article provides a dataset on occupational health and safety of welders in Bangladesh regarding eye injury, respiratory disorder, and associated risk factors. The data, collected on a pre-tested structured questionnaire, consist of demographic information (age: 10-77 years, median ∼30 years; working experience: 1-50 years), work environment features (working time per day, type of welding, use of protective equipment), and self-reported health consequences (e.g., burning eyes, headache after work, breathlessness). The data set includes raw data, symptom frequency summary tables, a health symptoms by lifestyle element correlation matrix, and a sample machine learning program for predicting post-work headaches. All raw data are placed in the public domain through the Mendeley Data repository for reuse. No conclusions were drawn in this paper; instead, we present the data and how it may be utilized to allow for further studies on occupational health hazards and prevention measures among welders.

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Publication Details

Journal
Data in Brief
Published
2025-10-09
DOI
https://doi.org/10.1016/j.dib.2025.112151
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Dataset on occupational health conditions and safety practices among welders in Bangladesh

Rakhi Moni Saha, Pradip Kumar Saha, I Mahmud, Fatama Binta Rafiq
Data in Brief
Occupational Health and Safety Research
article

Dataset on occupational health conditions and safety practices among welders in Bangladesh

Rakhi Moni Saha, Pradip Kumar Saha, I Mahmud, Fatama Binta Rafiq
article en

Abstract

This data article provides a dataset on occupational health and safety of welders in Bangladesh regarding eye injury, respiratory disorder, and associated risk factors. The data, collected on a pre-tested structured questionnaire, consist of demographic information (age: 10-77 years, median ∼30 years; working experience: 1-50 years), work environment features (working time per day, type of welding, use of protective equipment), and self-reported health consequences (e.g., burning eyes, headache after work, breathlessness). The data set includes raw data, symptom frequency summary tables, a health symptoms by lifestyle element correlation matrix, and a sample machine learning program for predicting post-work headaches. All raw data are placed in the public domain through the Mendeley Data repository for reuse. No conclusions were drawn in this paper; instead, we present the data and how it may be utilized to allow for further studies on occupational health hazards and prevention measures among welders.

Data in BriefVol. 63
American International University-Bangladesh (BD), Daffodil International University (BD)
Openalex Percentile: Top 60%
Occupational Health and Safety Research
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Dataset on occupational health conditions and safety practices among welders in Bangladesh — Rakhi Moni Saha, Pradip Kumar Saha, et al. · Data in Brief (2025) | TGRS Research Map | TGRS