Self-collected breath sampling for monitoring low-level benzene exposures among automobile mechanics.

P. Egeghy, L. Nylander-French, K. Gwin, I. Hertz-Picciotto, S. Rappaport
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引用次数: 62

Abstract

Automobile mechanics are exposed to benzene through their contact with gasoline vapor and engine exhaust. This study investigated the benzene uptake associated with these exposures. We first evaluated the reliability of self-collected breath samples among a subset of subjects and found good agreement between these samples and those collected under expert supervision (intraclass correlation coefficient 0.79, n = 69). We then used self-monitoring together with a longitudinal sampling design (with up to three measurements per worker) to measure benzene in air and benzene in end-exhaled breath among 81 workers from 12 automobile repair garages in North Carolina. A statistically significant difference (P < 0.0001, Mann-Whitney rank sum test) was observed between non-smokers and smokers for post-exposure benzene concentration in breath (median values of 18.9 and 39.1 micro g/m(3), respectively). Comparing pre- and post-exposure breath concentrations within these two groups, the difference was significant among non-smokers (P < 0.0001) but not significant among smokers (P > 0.05). Mixed effects regression analysis using backwards elimination yielded five significant predictors of benzene concentration in breath, namely benzene exposure (P < 0.0001), pre-exposure benzene concentration in breath (P = 0.021), smoking status (P < 0.0001), fuel system work (P = 0.0043) and carburetor cleaner use (P < 0.0001). The between-person variance component comprised only 28% of the total variance in benzene levels in breath, indicating that differences among individuals related to physiological and metabolic characteristics had little influence on benzene uptake among these workers.
汽车修理工自采呼吸取样监测低浓度苯暴露。
汽车修理工通过接触汽油蒸气和发动机废气而接触苯。本研究调查了与这些暴露有关的苯摄取。我们首先评估了一部分受试者自我采集呼吸样本的可靠性,发现这些样本与在专家监督下采集的样本之间存在良好的一致性(类内相关系数0.79,n = 69)。然后,我们使用自我监测和纵向抽样设计(每个工人最多三次测量)来测量北卡罗莱纳州12个汽车修理厂的81名工人的空气中苯和呼气末苯。非吸烟者与吸烟者呼吸中苯暴露后浓度差异有统计学意义(P < 0.0001, Mann-Whitney秩和检验)(中位数分别为18.9和39.1微g/m(3))。比较两组暴露前后呼吸浓度,非吸烟者差异显著(P < 0.0001),而吸烟者差异不显著(P < 0.05)。使用反向消去的混合效应回归分析得出了5个显著的呼气中苯浓度预测因子,即苯暴露(P < 0.0001)、暴露前呼气中苯浓度(P = 0.021)、吸烟状态(P < 0.0001)、燃油系统工作(P = 0.0043)和化油器清洁器使用(P < 0.0001)。人与人之间的差异只占呼吸中苯含量总差异的28%,这表明与生理和代谢特征相关的个体差异对这些工人的苯摄取影响很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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