空气中的职业暴露与 Lifelines 队列研究中的炎症生物标志物。
Airborne occupational exposures and inflammatory biomarkers in the Lifelines cohort study.
机构信息
University Medical Center Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands.
University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, Groningen, The Netherlands.
出版信息
Occup Environ Med. 2021 Feb;78(2):82-85. doi: 10.1136/oemed-2020-106493. Epub 2020 Aug 7.
INTRODUCTION
Inflammatory biomarkers are associated with negative health outcomes. In this study, we investigated the associations between airborne occupational exposures and levels and changes in inflammatory biomarkers.
METHODS
We included 79 604 adults at baseline from the Lifelines cohort of which 48 403 (60.8%) subjects were followed for a median of 4.5 years. Airborne occupational exposures at the current or last-held job at baseline were estimated with the occupational asthma-specific job-exposure matrix. Both in cross-sectional and longitudinal analyses, we used linear regression models (adjusted for age, sex, education, monthly income, body mass index, smoking, pack-years, asthma and anti-inflammatory medication) to investigate the associations between airborne occupational exposures (allergens, reactive chemicals, pesticides and micro-organisms) and inflammatory biomarkers (C reactive protein (CRP), eosinophils and neutrophils).
RESULTS
In the cross-sectional analyses, exposure to allergens, reactive chemicals and micro-organisms was associated with a lower (Log) CRP level (B(95% CI)=-0.05 (-0.08 to -0.02),-0.05(-0.08 to -0.02) and -0.09(-0.16 to -0.02), respectively). Likewise, exposure to allergens, reactive chemicals, pesticides and micro-organisms was associated with a lower (log) neutrophils count (-0.01 (-0.02 to -0.01), -0.01 (-0.02 to -0.01),-0.02 (-0.04 to -0.01) and -0.02(-0.03 to -0.01), respectively). No association between airborne occupational exposures and eosinophils count was found. In the longitudinal analyses, no association between airborne occupational exposures and changes in inflammatory biomarkers was found.
CONCLUSIONS
At baseline, airborne occupational exposures are inversely associated with inflammation; no effect of occupational exposures on inflammation was found at follow-up. In the future studies, details of occupational exposures, such as duration of exposures and cumulative exposures, need to be included to investigate the airborne occupational exposures and inflammatory biomarkers.
简介
炎症生物标志物与不良健康结局相关。在这项研究中，我们调查了空气中职业暴露与炎症生物标志物水平和变化之间的关系。
方法
我们纳入了 Lifelines 队列的 79604 名成年人作为基线人群，其中 48403 名（60.8%）参与者在中位时间为 4.5 年的随访期间进行了跟踪。在基线时，通过职业性哮喘特异性职业暴露矩阵（job-exposure matrix）评估当前或上一份工作中的空气中职业暴露。在横断面和纵向分析中，我们使用线性回归模型（调整年龄、性别、教育、月收入、体重指数、吸烟、吸烟量、哮喘和抗炎药物）来研究空气中职业暴露（过敏原、反应性化学物质、农药和微生物）与炎症生物标志物（C 反应蛋白（CRP）、嗜酸性粒细胞和中性粒细胞）之间的关系。
结果
在横断面分析中，过敏原、反应性化学物质和微生物暴露与 CRP 水平降低有关（B（95%CI）=-0.05[-0.08 至 -0.02]，-0.05[-0.08 至 -0.02]和-0.09[-0.16 至 -0.02]）。同样，过敏原、反应性化学物质、农药和微生物暴露与中性粒细胞计数降低有关（-0.01[-0.02 至 -0.01]，-0.01[-0.02 至 -0.01]，-0.02[-0.04 至 -0.01]和-0.02[-0.03 至 -0.01]）。未发现空气中职业暴露与嗜酸性粒细胞计数之间存在关联。在纵向分析中，未发现空气中职业暴露与炎症生物标志物变化之间存在关联。
结论
在基线时，空气中职业暴露与炎症呈负相关；在随访期间，未发现职业暴露对炎症有影响。在未来的研究中，需要包括职业暴露的详细信息，如暴露时间和累积暴露量，以研究空气中的职业暴露与炎症生物标志物。
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