Multivariate models to predict human adipose tissue PCB concentrations in Southern Spain.
The use of Polychlorinated biphenyls (PCBs) has been severely restricted due to their high toxicity and persistency in the environment. However, the presence of PCBs in human tissues nowadays is still been reported worldwide. Background exposure predictors of the human PCB body burden require more precise understanding. In the present study, PCB congeners 138, 153, and 180 were quantified in adult adipose tissue samples (n=387) from Granada Province (Southern Spain) and data on potential predictors of PCB concentrations were gathered by questionnaire. Chemical analysis of the selected congeners was done by gas chromatography and mass spectrometry, and multivariate analyses were performed stratifying by gender. PCB residues were quantified in 92% (PCB 153), 90% (PCB 180), and 86% (PCB 138) of the population. Geometric mean concentrations were 161.65+/-4.41 ng/g lipid for PCB 153, 111.62+/-6.27 ng/g lipid for PCB 180, and 38.41+/-8.61 ng/g lipid for PCB 138. Multivariate models explained 30-36% of the variability in PCB concentrations. Age and body mass index (BMI) predicted exposure in both males and females and were positively correlated with the concentration of the three PCB congeners. Occupation and diet predicted exposure in the males, whereas only dietary predictors were observed in the females. Further in-depth studies are required to investigate the influence of dietary habits on the bioaccumulation of PCBs and to evaluate the impact of policies aimed at reducing human exposure.
Arrebola
Juan P
JP
Escuela Andaluza de Salud Pública, Cuesta del Observatorio s/n, Campus Universitario de Cartuja s/n, 18080 Granada, Spain. jparrebola@ugr.es
Fernandez
Mariana F
MF
Porta
Miquel
M
Rosell
Jorge
J
de la Ossa
Rafael Martinez
RM
Olea
Nicolas
N
Martin-Olmedo
Piedad
P
D000273:Adipose Tissue / Q000378:metabolism*; D001822:Body Burden; D003430:Cross-Sectional Studies; D004032:Diet / Q000706:statistics & numerical data; D004781:Environmental Exposure / Q000032:analysis* / Q000706:statistics & numerical data; D004784:Environmental Monitoring; D004785:Environmental Pollutants / Q000378:metabolism*; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D008956:Models, Chemical; D015999:Multivariate Analysis; D011078:Polychlorinated Biphenyls / Q000378:metabolism*; D013030:Spain
D004785:Environmental Pollutants; D011078:Polychlorinated Biphenyls