Cho Byung-Jun, Kim Seon-Rye
Department of Paramedicine, College of Health Science, Kangwon National University, 346 Hwangjo-gil, Dogye-up, Samcheok-si 25949, Republic of Korea.
Institute of Health Medical Education Convergence Research, Kangwon National University, 346 Jungang-ro, Samcheok-si 25913, Republic of Korea.
Toxics. 2025 Aug 20;13(8):692. doi: 10.3390/toxics13080692.
Volatile organic compounds (VOCs) are common indoor air pollutants known to pose significant health risks, yet little is known about how internal exposure varies across populations and environments. This study investigated the associations between indoor air pollutants and urinary VOC biomarkers in a nationally representative sample. We analyzed data from 1880 adults in the eighth Korea National Health and Nutrition Examination Survey (2020-2021) who completed an indoor air quality (IAQ) survey and provided urine samples, assessing the influence of sociodemographic, behavioral, and environmental factors. Indoor concentrations of PM, CO, formaldehyde, total VOCs, benzene, ethylbenzene, toluene, xylene, and styrene were measured, alongside the urinary concentrations of nine VOC biomarkers. Associations between pollutants, sociodemographic variables, and biomarkers were evaluated using univariate and multivariable linear regression with Bonferroni correction. Older age, female, lower socioeconomic status (SES), and smoking were associated with higher urinary VOC biomarker concentrations, with smoking showing the strongest associations. Indoor ethylbenzene, styrene, benzene, and CO were also associated with multiple metabolites. These findings indicated significant associations between household air pollutants and urinary VOC metabolites, with disparities by age, sex, SES, and smoking status, underscoring the importance of targeted IAQ interventions for vulnerable populations.
挥发性有机化合物(VOCs)是常见的室内空气污染物,已知会对健康构成重大风险,但对于内部暴露在不同人群和环境中的差异知之甚少。本研究在一个具有全国代表性的样本中调查了室内空气污染物与尿液VOC生物标志物之间的关联。我们分析了第八次韩国国民健康与营养检查调查(2020 - 2021年)中1880名成年人的数据,这些成年人完成了室内空气质量(IAQ)调查并提供了尿液样本,评估了社会人口统计学、行为和环境因素的影响。测量了室内PM、CO、甲醛、总VOCs、苯、乙苯、甲苯、二甲苯和苯乙烯的浓度,以及九种VOC生物标志物的尿液浓度。使用单变量和多变量线性回归并进行Bonferroni校正,评估了污染物、社会人口统计学变量和生物标志物之间的关联。年龄较大、女性、社会经济地位(SES)较低和吸烟与较高的尿液VOC生物标志物浓度相关,其中吸烟的关联最强。室内乙苯、苯乙烯、苯和CO也与多种代谢物相关。这些发现表明家庭空气污染物与尿液VOC代谢物之间存在显著关联,且在年龄、性别、SES和吸烟状况方面存在差异,强调了针对弱势群体进行有针对性的IAQ干预的重要性。