Innovation Hub and Population Health, University of Montreal Hospital Research Centre (CRCHUM), Montréal, Québec, Canada (Dr Bosson-Rieutort); University Grenoble Alpes, CNRS, G-INP, TIMC-IMAG, EPSP team (Environment and Health Prediction of Populations), Grenoble, France (Dr Bosson-Rieutort); IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium (Dr Schouteden); IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium (Dr Godderis); Katholieke Universiteit Leuven, Centre for Environment and Health, Leuven, Belgium (Dr Godderis); and University Grenoble Alpes, CNRS, G-INP, TIMC-IMAG, EPSP team (Environment and Health Prediction of Populations), Grenoble, France (Dr Bicout); VetAgro Sup, Biomathematics and Epidemiology Unit, Veterinary Campus of Lyon, Marcy l'Etoile, France (Dr Bicout).
J Occup Environ Med. 2018 Sep;60(9):e476-e483. doi: 10.1097/JOM.0000000000001399.
Rapid changes in working conditions give rise to new occupational health risks. We applied the Spectrosome approach, a network-based analysis, to investigate associations between disease and multiple occupational exposures.
We investigated work and health's associations in a specific sector: the agricultural sector and for a specific and frequent health complaint: sore throat; using PRECUBE dataset of the Belgian Occupational Health and Safety, containing 381.615 occupational health observations. We compared the results of the spectrosome with classic frequency analyses.
Spectrosome approach reports more significant signals of multiple associations of agents compare to the frequency analysis.
This difference justifies the usefulness of taking into account the multiplicity of causes leading to a health event, which is a clear asset of the Spectrosome method.
工作条件的快速变化引发了新的职业健康风险。我们应用基于网络的 Spectrosome 方法来研究疾病与多种职业暴露之间的关联。
我们使用比利时职业健康与安全的 PRECUBE 数据集(包含 381615 例职业健康观察),针对特定行业(农业部门)和特定且常见的健康问题(喉咙痛),调查工作与健康之间的关联。我们将 Spectrosome 的结果与经典的频率分析进行了比较。
与频率分析相比,Spectrosome 方法报告了更多agents 多因素关联的显著信号。
这种差异证明了考虑导致健康事件的多种原因的必要性,这是 Spectrosome 方法的明显优势。