使用测量的血清浓度评估全氟辛烷磺酸暴露重建在大范围暴露工人中的有效性。

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Annals Of Work Exposures and Health Pub Date : 2024-12-19 DOI:10.1093/annweh/wxae099
Jerry L Campbell, Matthew W Linakis, Anna K Porter, Emma M Rosen, Perry W Logan, Sarah E Kleinschmidt, Kara L Andres, Sue Chang, Oyebode A Taiwo, Geary W Olsen, Harvey J Clewell, Matthew P Longnecker
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引用次数: 0

摘要

背景:对广泛接触全氟烷基物质的工人进行的研究为风险评估提供了信息。Alexander等人于2024年研究了全氟辛烷磺酸(PFOS)这一普遍存在的环境污染物与职业暴露人群死亡率和癌症发病率的关系。在该研究中,利用工作暴露矩阵和个人工作经历重建了累积职业暴露(空气中全氟辛烷磺酸当量mg/m3)。虽然暴露重建具有良好的面效度,但评估其与血清全氟辛烷磺酸水平的关系将有助于改进对职业流行病学研究结果的解释。目的:本研究的目的是评估Alexander等人(2024)使用的暴露重建方法的有效性。方法:Olsen等人(2003)之前的一项研究在1998年测量了260名工人的血清全氟辛烷磺酸水平,由于这些工人被纳入Alexander等人(2024)的流行病学研究,因此本文报道的研究将血清全氟辛烷磺酸水平与使用简单的室室药代动力学模型预测的水平进行了比较。结果:观察值与药代动力学模型预测的血清PFOS浓度Pearson相关系数为0.80(95%可信区间为0.75 ~ 0.84)。预测与观察血清浓度的中位数比值为12(即实际暴露明显低于预测)。预测血清全氟辛烷磺酸浓度对药代动力学模型中使用的除暴露浓度或吸收外的参数不敏感。结论:该模型不能很好地预测绝对暴露,可能是因为没有考虑到个人防护装备的使用以及全氟辛烷磺酸或前体的吸收低于模型。另一方面,该模型在对工人暴露程度进行排序方面做得相当好,因此,Alexander等人(2024)的研究中,使用测量的血清全氟辛烷磺酸数据进行验证时,根据累积全氟辛烷磺酸当量的相对数量对工人进行分类是相当准确的。
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Evaluation of the validity of a perfluorooctane sulfonic acid exposure reconstruction using a measured serum concentration among workers with a wide range of exposure.

Background: Studies among workers with a wide range of exposure to perfluoroalkyl substances inform risk assessments. Perfluorooctane sulfonate (PFOS), a ubiquitous environmental contaminant, was recently examined in relation to mortality and cancer incidence in an occupationally exposed population by Alexander et al. in 2024. In that study, cumulative occupational exposure (mg/m3 PFOS-equivalents in air) was reconstructed using a job-exposure matrix and individual work history. While the exposure reconstruction had good face validity, an assessment of its performance in relation to serum PFOS levels would allow improved interpretation of the occupational epidemiology findings.

Objective: The objective of this study was to assess the validity of the exposure reconstruction used by Alexander et al. (2024).

Methods: A previous study by Olsen et al. (2003) measured serum PFOS levels in 1998 for 260 workers and because these workers were included in the epidemiologic study by Alexander et al. (2024), the study reported herein compared serum PFOS levels to those predicted using a simple compartmental pharmacokinetic model.

Results: The Pearson correlation coefficient between the observed and pharmacokinetic model-predicted serum PFOS concentration was 0.80 (95% confidence interval, 0.75 to 0.84). The median ratio of predicted to observed serum concentrations was 12 (i.e. actual exposure was significantly less than predicted). The predicted serum PFOS concentrations were not sensitive to the parameters used in the pharmacokinetic model other than exposure concentration or absorption.

Conclusions: The model did not predict absolute exposure well, probably because of personal protective equipment use not being accounted for and absorption of PFOS or precursors being lower than modeled. On the other hand, the model did a reasonably good job of ranking the workers' exposure, thus classification of workers according to relative amount of cumulative PFOS-equivalents was reasonably accurate in the study by Alexander et al. (2024) when validated using the measured serum PFOS data.

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来源期刊
Annals Of Work Exposures and Health
Annals Of Work Exposures and Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.60
自引率
19.20%
发文量
79
期刊介绍: About the Journal Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?" We are interested in high quality scientific research addressing: the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures; the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities; populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers; the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems; policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities; methodologies and mechanisms that underlie the quantification and/or control of exposure and risk. There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.
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