Multivariate models to predict human adipose tissue PCB concentrations in Southern Spain
Juan P Arrebola1, Mariana F Fernandez, Miquel Porta
1Escuela Andaluza de Salud Pública, Cuesta del Observatorio s/n, Campus Universitario de Cartuja s/n, 18080 Granada, Spain. jparrebola@ugr.es
Environment International
|July 8, 2010
Summary
Polychlorinated biphenyls (PCBs) are still found in human tissues. Age, BMI, occupation, and diet influence PCB levels, with variations between genders, highlighting the need for further research into dietary impacts and exposure reduction policies.
Area of Science:
- Environmental Chemistry
- Human Toxicology
- Public Health
Background:
- Polychlorinated biphenyls (PCBs) are persistent organic pollutants with high toxicity.
- Despite restrictions, PCBs remain detectable in human tissues globally.
- Understanding background exposure predictors for human PCB body burden is crucial.
Purpose of the Study:
- To quantify PCB congeners 138, 153, and 180 in human adipose tissue.
- To identify predictors of PCB concentrations in adults from Southern Spain.
- To analyze gender-specific differences in PCB exposure predictors.
Main Methods:
- Quantification of PCB congeners 138, 153, and 180 in 387 adult adipose tissue samples.
- Data collection on potential predictors via questionnaires.
- Gas chromatography-mass spectrometry for chemical analysis and multivariate analyses stratified by gender.
Main Results:
- PCB residues detected in 86-92% of the population.
- Geometric mean concentrations: PCB 153 (161.65 ng/g lipid), PCB 180 (111.62 ng/g lipid), PCB 138 (38.41 ng/g lipid).
- Age and BMI correlated positively with PCB levels in both genders. Occupation and diet were significant predictors in males; diet was significant in females.
Conclusions:
- Multivariate models explained 30-36% of PCB concentration variability.
- Age, BMI, occupation, and diet are significant predictors of human PCB burden, with gender-specific patterns.
- Further research is needed on dietary influences and the effectiveness of exposure reduction policies.
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