Proximity to mining industry and cancer mortality

• Published in: The Science of the total environment Vol. 435-436; pp. 66 - 73
• Main Authors: Fernández-Navarro, Pablo, García-Pérez, Javier, Ramis, Rebeca, Boldo, Elena, López-Abente, Gonzalo
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.10.2012
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; at-risk population; Bayes Theorem; bladder; brain; Cancer mortality; Child; Child, Preschool; coal; colorectal neoplasms; Colorectal Neoplasms - mortality; European Pollutant Release and Transfer Register; Female; gall bladder; Humans; Infant; INLA; leukemia; Leukemia - mortality; liver neoplasms; lung neoplasms; Lung Neoplasms - mortality; Male; Middle Aged; Mining - statistics & numerical data; Mining industry; Models, Biological; mortality; Neoplasms - mortality; pollutants; pollution control; regression analysis; relative risk; stomach neoplasms; towns; toxic substances; underground mining; Urinary Bladder Neoplasms - mortality; Young Adult; RR; INE; European Pollutant Release and Transfer Register; ps; Ei; Exposi; Soci; ill; pph; IARC; MARM; CIs; Cancer mortality; E-PRTR; far; unem; IPPC; EPER; INLA; PAHs; Oi; SMRs; Mining industry; inc
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2012.07.019

Mining installations are releasing toxic substances into the environment which could pose a health problem to populations in their vicinity. We sought to investigate whether there might be excess cancer-related mortality in populations residing in towns lying in the vicinity of Spanish mining industries governed by the Integrated Pollution Prevention and Control Directive, and the European Pollutant Release and Transfer Register Regulation, according to the type of extraction method used. An ecologic study was designed to examine municipal mortality due to 32 types of cancer, across the period 1997 through 2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Poisson regression models, using the Bayesian conditional autoregressive model proposed by Besag, York and Molliè and Integrated Nested Laplace Approximations for Bayesian inference, were used: to analyze risk of dying from cancer in a 5-kilometer zone around mining installations; effect of type of industrial activity; and to conduct individual analyses within a 50-kilometer radius of each installation. Excess mortality (relative risk, 95% credible interval) of colorectal cancer (1.097, 1.041–1.157), lung cancer (1.066, 1.009–1.126) specifically related with proximity to opencast coal mining, bladder cancer (1.106, 1.016–1.203) and leukemia (1.093, 1.003–1.191) related with other opencast mining installations, was detected among the overall population in the vicinity of mining installations. Other tumors also associated in the stratified analysis by type of mine, were: thyroid, gallbladder and liver cancers (underground coal installations); brain cancer (opencast coal mining); stomach cancer (coal and other opencast mining installations); and myeloma (underground mining installations). The results suggested an association between risk of dying due to digestive, respiratory, hematologic and thyroid cancers and proximity to Spanish mining industries. These associations were dependent on the type of mine. ► Increased risk of cancer mortality among populations in the vicinity of mines. ► We found that underground coal mining was related to digestive cancers and thyroid cancer. ► We found that lung cancer was associated with open-air coal mining. ► We used information from the European Pollutant Release and Transfer Register. ► Integrated nested Laplace approximations (INLA) was used as Bayesian inference tool.