Breast and prostate cancer mortality and industrial pollution

Environ Pollut. 2016 Jul:214:394-399. doi: 10.1016/j.envpol.2016.04.027. Epub 2016 Apr 22.

Abstract

We investigated whether there might be an excess of breast and prostate cancer mortality among the population residing near Spanish industries, according to different categories of industrial groups. An ecologic study was designed to examine breast and prostate cancer mortality at a municipal level (period 1997-2006). Population exposure to pollution was estimated by means of distance from town of residence to industrial facilities. Using Besag-York-Mollié regression models with Integrated Nested Laplace approximations for Bayesian inference, we assessed the relative risk of dying from these tumors in 2-, 3-, 4-, and 5-km zones around installations, and analyzed the effect of category of industrial group. For all sectors combined, no excess risk was detected. However, excess risk of breast cancer mortality (relative risk, 95% credible interval) was detected near mines (1.10, 1.00-1.21 at 4 km), ceramic industries (1.05, 1.00-1.09 at 5 km), and ship building (1.12, 1.00-1.26 at 5 km), and excess risk of prostate cancer was detected near aquaculture for all distances analyzed (from 2.42, 1.53-3.63 at 2 km to 1.63, 1.07-2.36 at 5 km). Our findings do not support that residing in the vicinity of pollutant industries as a whole (all industrial sectors combined) is a risk factor for breast and prostate cancer mortality. However, isolated statistical associations found in our study with respect to specific industrial groups warrant further investigation.

Keywords: BYM model; Breast cancer; INLA; Industrial pollution; PRTR register; Prostate cancer.

MeSH terms

  • Air Pollution / adverse effects*
  • Air Pollution / analysis*
  • Breast Neoplasms / chemically induced
  • Breast Neoplasms / mortality*
  • Female
  • Geography, Medical / statistics & numerical data*
  • Humans
  • Industrial Waste / adverse effects*
  • Industrial Waste / analysis*
  • Male
  • Models, Statistical
  • Prostatic Neoplasms / chemically induced
  • Prostatic Neoplasms / mortality*
  • Risk Factors

Substances

  • Industrial Waste