|
|
|
|
|
|
|
|
abstract
Highlights
- •
- We studied excess mortality due to ovarian cancer near Spanish industries.
- •
- Integrated nested Laplace approximations were used as a Bayesian inference tool.
- •
- We found excess ovarian cancer mortality near all industrial groups as a whole.
- •
- Risk also was found in towns near industries releasing carcinogens and metals.
- •
- Risk was associated with plants releasing polycyclic aromatic chemicals and POPs.
Abstract
We
investigated whether there might be excess ovarian cancer mortality
among women residing near Spanish industries, according to different
categories of industrial groups and toxic substances. An ecologic study
was designed to examine ovarian cancer mortality at a municipal level
(period 1997–2006). Population exposure to pollution was estimated by
means of distance from town to facility. Using Poisson regression
models, we assessed the relative risk of dying from ovarian cancer in
zones around installations, and analyzed the effect of industrial groups
and pollutant substances. Excess ovarian cancer mortality was detected
in the vicinity of all sectors combined, and, principally, near
refineries, fertilizers plants, glass production, paper production,
food/beverage sector, waste treatment plants, pharmaceutical industry
and ceramic. Insofar as substances were concerned, statistically
significant associations were observed for installations releasing
metals and polycyclic aromatic chemicals. These results support that
residing near industries could be a risk factor for ovarian cancer
mortality.
0 comments :
Post a Comment
Your comments?
Note: Only a member of this blog may post a comment.