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

## TL;DR

This paper presents a dataset on the health and safety practices of welders in Bangladesh, including demographics, work conditions, and health symptoms.

## Contribution

The contribution is a publicly available dataset with detailed occupational health information on welders in Bangladesh.

## Key findings

- The dataset includes demographic and health data from welders aged 10–77 years.
- It contains information on work environment features and self-reported health symptoms.
- A machine learning program for predicting headaches is included in the dataset.

## 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.