首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study
  • 本地全文:下载
  • 作者:C. Airoldi ; C. Magnani ; F. Lazzarato
  • 期刊名称:Environmental Health - a Global Access Science Source
  • 印刷版ISSN:1476-069X
  • 电子版ISSN:1476-069X
  • 出版年度:2021
  • 卷号:20
  • DOI:10.1186/s12940-021-00790-3
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. Methods A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. Results One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant ( p  < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. Conclusions In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials. Supplementary Information The online version contains supplementary material available at 10.1186/s12940-021-00790-3.
  • 关键词:Asbestos; Mesothelioma; Spatial analysis
国家哲学社会科学文献中心版权所有