4.7 Article

Factors influencing combined exposure to three indicator polychlorinated biphenyls in an adult cohort from Bolivia

Journal

ENVIRONMENTAL RESEARCH
Volume 116, Issue -, Pages 17-25

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2012.04.009

Keywords

Polychlorinated biphenyl; Serum; Adipose tissue; Exposure predictors; Multiple linear regression

Funding

  1. Impuesto Directo a Hidrocarburos (IDH) of the Government of Bolivia
  2. EU Commission [CONTAMED FP7-ENV-212502]
  3. Spanish Ministry of Health [EUS2008-03574]
  4. Instituto de Salud Carlos III [FIS PI11/0610]
  5. Regional Government of Andalusia-Spain [P09-CTS-5488, SAS PI-0675-2010]
  6. Granada Research of Excellence Initiative on BioHealth GREIB from the University of Granada [CEB-005]

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Polychlorinated biphenyls are persistent organic pollutants that have been used for decades in several industrial applications. Although production of polychlorinated biphenyls was restricted from the 1970s in most countries, substantial amounts remain in old equipment and buildings and they have been detected in various environmental and biological matrices. The main objective of this study was to analyze predictors of the combined exposure to three non-dioxin-like polychlorinated biphenyls (congeners 138, 153 and 180) in serum and adipose tissue from an adult cohort (n=112) living in the city of Santa Cruz de la Sierra (Bolivia) and surrounding towns/villages. A second aim was to identify modifiers that might influence the statistical associations found, using crude, partially-adjusted, and global multiple linear regression models. Main predictors of serum concentrations were occupation and fatty food consumption, while those for adipose tissue concentrations included age, smoking habit, fatty food consumption, and residence. The differences between the two matrices might be derived from their biological meaning, given that adipose tissue concentrations are an indicator of chronic exposure to polychlorinated biphenyls while serum levels are a good predictor of ongoing exposure and the mobilization of polychlorinated biphenyls stored in fatty tissues. Body mass index was found to be an important modifier of these associations. (C) 2012 Elsevier Inc. All rights reserved.

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