Longitudinal study of pulmonary function trends and associated risk factors in iron ore miners

The mining industry involves various processes, including extraction, crushing, milling, stacking, and reclaiming mineral substances. Workers in these environments are at risk of respiratory diseases due to exposure to high concentrations of pollutants, such as respirable dust. This study was conducted on sweepers, supervisors, and office workers of an iron ore Concentrate and Raw pellet production plants. Sampling and analysis of respirable dust, crystalline silica, and iron dust were performed according to NIOSH 0600, NIOSH 7601, and OSHA ID-121 methods, respectively. The values ​​of lung function indices were extracted from personnel medical records over the years of their work experiences. The results showed that the highest mean concentration of respirable dust, iron, and crystalline silica dust belongs to the sweeper group and the lowest mean concentration belongs to the office group. The reduction rate of pulmonary functions over time was also higher in the sweeper and supervisor groups than in the office group. The effective factors on the pulmonary functions were age, work experience, academic education level, occupational group, cigarette and waterpipe smoking, and type of employment.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-09-29
DOI
https://doi.org/10.1038/s41598-025-19091-7
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal study of pulmonary function trends and associated risk factors in iron ore miners

Pejman Mohammadi, Rouhollah Parvari, Ali Faghihi Zarandi, Abdollah Gholami et al.
Scientific Reports
Occupational and environmental lung diseases
article

Longitudinal study of pulmonary function trends and associated risk factors in iron ore miners

Pejman Mohammadi, Rouhollah Parvari, Ali Faghihi Zarandi, Abdollah Gholami, Behnam Khodarahmi, Saiedeh Haji-Maghsoudi, Haniyeh Soltanpour
article en

Abstract

The mining industry involves various processes, including extraction, crushing, milling, stacking, and reclaiming mineral substances. Workers in these environments are at risk of respiratory diseases due to exposure to high concentrations of pollutants, such as respirable dust. This study was conducted on sweepers, supervisors, and office workers of an iron ore Concentrate and Raw pellet production plants. Sampling and analysis of respirable dust, crystalline silica, and iron dust were performed according to NIOSH 0600, NIOSH 7601, and OSHA ID-121 methods, respectively. The values ​​of lung function indices were extracted from personnel medical records over the years of their work experiences. The results showed that the highest mean concentration of respirable dust, iron, and crystalline silica dust belongs to the sweeper group and the lowest mean concentration belongs to the office group. The reduction rate of pulmonary functions over time was also higher in the sweeper and supervisor groups than in the office group. The effective factors on the pulmonary functions were age, work experience, academic education level, occupational group, cigarette and waterpipe smoking, and type of employment.

Scientific ReportsVol. 15(1)
Kerman University of Medical Sciences (IR), Ardabil University of Medical Sciences (IR), Iron Ore Company (Canada) (CA), Birjand University of Medical Sciences (IR)
Kerman University of Medical Sciences, Vice Chancellor for Research and Technology, Kerman University of Medical Sciences
Openalex Percentile: Top 61%
Occupational and environmental lung diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.