Association between occupational dust exposure and asthma prevalence in a nationally representative US population

ObjectiveThis study sought to examine the relationship between exposure to different types of workplace dust (mineral dust, organic dust, exhaust fumes, and other fumes) and the prevalence of asthma in a nationally representative sample of the population in the United States.MethodsUsing data from the National Health and Nutrition Examination Survey 2007-2012, we analyzed data of 16,841 participants after exclusions based on specific criteria. Logistic regression models were used to evaluate the association between dust exposure and asthma prevalence after adjusting for demographic and health-related covariates.ResultsOur findings indicate that exposure to various types of dust is positively associated with the prevalence of asthma. This association remained significant after adjusting for age, sex, race, and other covariates. Notably, subgroup analysis revealed that females are more susceptible to asthma from dust exposure than males. In addition, individuals with higher body mass index and older age are more likely to have asthma due to dust inhalation.ConclusionThis study underscores the need for targeted occupational health interventions and policies, especially for high-risk groups such as females, those with higher body weight, and older individuals. Further longitudinal studies are recommended to establish causal relationships.

Authors

Institutions

Publication Details

Journal
Journal of International Medical Research
Published
2025-09-01
DOI
https://doi.org/10.1177/03000605251371280
Primary Topic
Occupational exposure and asthma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between occupational dust exposure and asthma prevalence in a nationally representative US population

Yonghuai Li, Dai Yi
2 links
Journal of International Medical Research
Occupational exposure and asthma
article

Association between occupational dust exposure and asthma prevalence in a nationally representative US population

Yonghuai Li, Dai Yi
article en

Abstract

ObjectiveThis study sought to examine the relationship between exposure to different types of workplace dust (mineral dust, organic dust, exhaust fumes, and other fumes) and the prevalence of asthma in a nationally representative sample of the population in the United States.MethodsUsing data from the National Health and Nutrition Examination Survey 2007-2012, we analyzed data of 16,841 participants after exclusions based on specific criteria. Logistic regression models were used to evaluate the association between dust exposure and asthma prevalence after adjusting for demographic and health-related covariates.ResultsOur findings indicate that exposure to various types of dust is positively associated with the prevalence of asthma. This association remained significant after adjusting for age, sex, race, and other covariates. Notably, subgroup analysis revealed that females are more susceptible to asthma from dust exposure than males. In addition, individuals with higher body mass index and older age are more likely to have asthma due to dust inhalation.ConclusionThis study underscores the need for targeted occupational health interventions and policies, especially for high-risk groups such as females, those with higher body weight, and older individuals. Further longitudinal studies are recommended to establish causal relationships.

Journal of International Medical ResearchVol. 53(9)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN)
Openalex Percentile: Top 68%
Occupational exposure and asthma
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.