Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case-control study

被引:13
作者
Airoldi, C. [1 ]
Magnani, C. [1 ,2 ,3 ]
Lazzarato, F. [4 ]
Mirabelli, D. [2 ,3 ]
Tunesi, S. [1 ]
Ferrante, D. [1 ,2 ]
机构
[1] Univ Piemonte Orientale, Dept Translat Med, Med Stat, Via Solaroli 17, I-28100 Novara, NO, Italy
[2] CPO Piemonte, Canc Epidemiol Unit, Novara, Italy
[3] Univ Turin, Interdept Ctr Studies Asbestos & Other Tox Partic, Turin, Italy
[4] Citta Salute & Sci Hosp, Unit Canc Epidemiol, Turin, Italy
关键词
Asbestos; Mesothelioma; Spatial analysis; PLEURAL MESOTHELIOMA; CASALE-MONFERRATO; RISK; CANCER; CROCIDOLITE; MORTALITY; DISEASE; COHORT;
D O I
10.1186/s12940-021-00790-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background 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.
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页数:13
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