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Войти в исследования BMC public health · 2025
Association between combined exposure to underground air pollutants and hypertension in coal miners: a cross-sectional study.
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Chen Qianwei, Lu Chao, Jin Yongtang, Yin Wanjun, Chu Fengjen, Wang Jia, Zou Yuanjie, Du Yuanzhen, Zhu Fenglin, Zhang Yajun, Hui Ziwen, Mu Min
Аннотация
BACKGROUND: Coal miners are chronically exposed to underground air pollutants, with a notably higher hypertension (HTN) incidence than the general population. Previous studies focused on single pollutants, yet the health effects of occupational multipollutant mixtures remain unclear. This study aimed to elucidate the association between combined exposure and HTN, identifying dominant contributors.
METHODS: Data were collected from 3,432 coal miners employed by three large coal mining companies in Shaanxi Province, China. We assessed cumulative exposure to five air pollutants: coal dust (CD), carbon monoxide (CO), carbon dioxide (CO₂), nitrogen monoxide (NO), and nitrogen dioxide (NO₂). Blood pressure measurements were taken, with HTN defined as a systolic blood pressure ≥ 140 mmHg and/or a diastolic blood pressure ≥ 90 mmHg. Four statistical methods were used to evaluate the associations between mixed exposure and HTN in coal miners: multivariate logistic regression, weighted quantile sum (WQS), Quantile g-computation (qcomp), and Bayesian kernel machine regression (BKMR).
RESULTS: Multivariate logistic regression analysis indicated that all five air pollutants were positively correlated with an increased risk of HTN after adjusting for covariates. Furthermore, all three mixed models-WQS (Odds ratio (OR): 1.08; 95% confidence interval (95% CI): 1.04-1.11), qcomp (OR: 1.07; 95% CI: 1.05-1.08), and BKMR (OR: 1.37; 95% CI: 0.85-2.20)-consistently demonstrated a positive correlation between co-exposure to mixtures of underground air pollutants and HTN. Within the mixture, CO (WQS: 0.611; qcomp: 0.435) and NO₂ (WQS: 0.236; qcomp: 0.209) emerged as the primary contributors.
CONCLUSION: Our study revealed a significant association between exposure to mixtures of underground air pollutants and an elevated risk of HTN, with CO and NO₂ being the primary contributors. The implementation of ventilation improvements, real-time monitoring, and prospective cohorts is critical for risk mitigation and mechanistic validation.
METHODS: Data were collected from 3,432 coal miners employed by three large coal mining companies in Shaanxi Province, China. We assessed cumulative exposure to five air pollutants: coal dust (CD), carbon monoxide (CO), carbon dioxide (CO₂), nitrogen monoxide (NO), and nitrogen dioxide (NO₂). Blood pressure measurements were taken, with HTN defined as a systolic blood pressure ≥ 140 mmHg and/or a diastolic blood pressure ≥ 90 mmHg. Four statistical methods were used to evaluate the associations between mixed exposure and HTN in coal miners: multivariate logistic regression, weighted quantile sum (WQS), Quantile g-computation (qcomp), and Bayesian kernel machine regression (BKMR).
RESULTS: Multivariate logistic regression analysis indicated that all five air pollutants were positively correlated with an increased risk of HTN after adjusting for covariates. Furthermore, all three mixed models-WQS (Odds ratio (OR): 1.08; 95% confidence interval (95% CI): 1.04-1.11), qcomp (OR: 1.07; 95% CI: 1.05-1.08), and BKMR (OR: 1.37; 95% CI: 0.85-2.20)-consistently demonstrated a positive correlation between co-exposure to mixtures of underground air pollutants and HTN. Within the mixture, CO (WQS: 0.611; qcomp: 0.435) and NO₂ (WQS: 0.236; qcomp: 0.209) emerged as the primary contributors.
CONCLUSION: Our study revealed a significant association between exposure to mixtures of underground air pollutants and an elevated risk of HTN, with CO and NO₂ being the primary contributors. The implementation of ventilation improvements, real-time monitoring, and prospective cohorts is critical for risk mitigation and mechanistic validation.