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J Biomed Biotechnol ; 2012: 132876, 2012.
Article in English | MEDLINE | ID: mdl-22619491

ABSTRACT

Neurodevelopment as Gesell development scores (GDSs) in relation to mercury exposure in infants (<6 months of age) of one urban center and two rural villages, respectively, of fisherman and cassiterite miners. Mean total hair-Hg (HHg) concentrations of infants from Itapuã (3.95 ± 1.8 ppm) were statistically (P = 0.0001) different from those of infants from Porto Velho (3.84 ± 5.5 ppm) and Bom Futuro (1.85 ± 0.9 ppm). Differences in vaccine coverage among these populations resulted in significantly higher (P = 0.0001) mean ethylmercury (EtHg) exposure in urban infants (150 µg) than in infants from either village (41.67 µg, Itapuã; 42.39 µg, Bom Futuro). There was an inverse significant (Spearman r = -0.2300; P = 0.0376) correlation between HHg and GDS for infants from Porto Velho, but not for the rural infants from Bom Futuro (Spearman r = 0.1336; P = 0.0862) and Itapuã (Spearman r = 0.1666; P = 0.5182). Logistic regression applied to variables above or below the median GDS showed that EtHg exposure (estimated probability = -0.0157; P = 0.0070) and breastfeeding score (estimated probability = -0.0066; P = 0.0536) score were significantly associated with GDS. Conclusion. In nurslings whose mothers are exposed to different levels of fish-MeHg (HHg), a higher score of neurological development at six months was negatively associated with exposure to additional TCV-EtHg. Results should be interpreted with caution because of unaccounted variables.


Subject(s)
Ethylmercury Compounds/poisoning , Hair/chemistry , Maternal Exposure , Mercury/analysis , Methylmercury Compounds/poisoning , Brazil , Breast Feeding , Developmental Disabilities/chemically induced , Diet , Diet Surveys , Ethylmercury Compounds/pharmacokinetics , Female , Hair/metabolism , Humans , Infant , Infant, Newborn , Logistic Models , Male , Mercury/pharmacokinetics , Methylmercury Compounds/pharmacokinetics , Pregnancy , Prenatal Exposure Delayed Effects , Psychomotor Performance/drug effects , Rural Population , Socioeconomic Factors , Urban Population
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