Internal exposure to organochlorine pollutants and XXXX and self-reported health status: A prospective study.

@entity1 @entity15213 @entity101 @entity6 @entity5241 @entity5 @entity8710 @entity5980 @entity3409 @entity65154 @entity3215
UNASSIGNED: In this paper, based on the Flemish biomonitoring programs, we describe the associations between internal exposure to organochlorine pollutants and to @entity3409 (measured in 2004-2005 for adults aged 50-65 years) and self-reported health status obtained through a questionnaire in November 2011. Dioxin-like activity in serum showed a significant positive association with risk of @entity5 for @entity1 . After adjustment for confounders and covariates, the odds ratio for an exposure equal to the 90th percentile was 2.4 times higher than for an exposure equal to the 10th percentile. For both @entity1 and @entity1 @entity8710 -like activity and serum @entity15213 (HCB) showed a significant positive association with risk of @entity6 and of @entity101 . Detailed analysis suggested that an increase in BMI might be part of the mechanism through which @entity15213 contributes to @entity6 and @entity101 . Serum @entity5980 ( @entity5980 ) concentration showed a significant positive association with @entity6 and @entity101 in @entity1 , but not in women. Serum polychlorinated biphenyl ( @entity5241 ) 118 showed a significant positive association with @entity6 in both @entity1 and @entity1 , and after adjustment for correlated exposures, also with @entity101 in @entity1 . Urinary @entity3409 concentrations showed a significant positive association with @entity101 . Urinary @entity3409 concentrations were (in 2004-2005) significantly higher in @entity1 who felt in less than good health (in 2011) than in @entity1 who felt in very good health. After adjustment for correlated exposures (to HCB, @entity5980 and @entity65154 ) marker @entity3215 showed a significant negative association with @entity6 and @entity101 . Serum @entity5980 showed in @entity1 a significant negative association with risk of diseases based on atheromata. Our findings suggest that exposure to pollutants can lead to an important increase in the risk of diseases such as @entity5 , @entity6 and @entity101 . Some pollutants may possibly also decrease the risk of some health problems, although this requires confirmation by other approaches.
