Work-related asthma in France: recent trends for the period 2001-2009
Work-related asthma in France: recent trends for the period 2001-2009
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DOI：
10.1136/oemed-2011-100487
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发表时间：
2012-06-01
影响因子：
4.9
通讯作者：
Ameille, Jacques
中科院分区：
文献类型：
--
作者：
Paris, Christophe;Ngatchou-Wandji, Joseph;Ameille, Jacques
目的：关于与工作有关的哮喘（WRA）的时间进程（趋势）的知识仍然很少。本研究的目的是描述2001-2009年期间法国工业活动和主要致病因素方面的WRA趋势。方法从法国国家职业健康监测和预防网络（Reseau national de Vigilance et de prevention des pathology professionelles, RNV3P）收集数据。使用了几种统计模型（非参数检验、零膨胀负二项、逻辑回归和时间序列模型）并与评估趋势进行了比较。结果在研究期间，网络共纳入2914例WRA病例。总体上观察到显着下降，对于一些剂，如异氰酸酯（p=0.007），醛（p=0.01）和乳胶（p=0.01）。相反，观察到与暴露于季铵化合物有关的病例显著增加（p=0.003）。卫生和社会部门表明，与季铵化合物的使用有关的病例越来越多，与乙醛和乳胶接触有关的病例有所减少。结论：在研究期间，法国的WRA有所下降。唯一显著增加的是与接触季铵化合物有关的WRA。零膨胀负二项和逻辑回归模型似乎充分地描述了这些数据。
Objective Knowledge on the time-course (trends) of work-related asthma (WRA) remains sparse. The aim of this study was to describe WRA trends in terms of industrial activities and the main causal agents in France over the period 2001-2009.Method Data were collected from the French national network of occupational health surveillance and prevention (Reseau National de Vigilance et de Prevention des Pathologies Professionnelles (RNV3P)). Several statistical models (non-parametric test, zero-inflated negative binomial, logistic regression and time-series models) were used and compared with assess trends.Results Over the study period, 2914 WRA cases were included in the network. A significant decrease was observed overall and for some agents such as isocyanates (p=0.007), aldehydes (p=0.01) and latex (p=0.01). Conversely, a significant increase was observed for cases related to exposure to quaternary ammonium compounds (p=0.003). The health and social sector demonstrated both a growing number of cases related to the use of quaternary ammonium compounds and a decrease of cases related to aldehyde and latex exposure.Conclusions WRA declined in France over the study period. The only significant increase concerned WRA related to exposure to quaternary ammonium compounds. Zero-inflated negative binomial and logistic regression models appear to describe adequately these data.