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Role of Methylmercury Exposure (from Fish Consumption) on Growth and Neurodevelopment of Children Under 5 Years of Age Living in a Transitioning (Tin-Mining) Area of the Western Amazon, Brazil

  • Rejane C. Marques
  • José G. DóreaEmail author
  • Renata S. Leão
  • Verusca G. dos Santos
  • Lucélia Bueno
  • Rayson C. Marques
  • Katiane G. Brandão
  • Elisabete F. A. Palermo
  • Jean Remy D. Guimarães
Article

Abstract

Human occupation of the Amazon region has recently increased, bringing deforestation for agriculture and open-cast mining, activities that cause environmental degradation and pollution. Families of new settlers in mining areas might have a diet less dependent on abundant fish and their children might also be impacted by exposures to mining environments. Therefore, there is compounded interest in assessing young children’s nutritional status and neurobehavioral development with regard to family fish consumption. Anthropometric (z-scores, WHO standards) and neurologic [Gesell developmental scores (GDS)] development in 688 preschool children (1–59 months of age) was studied. Overall, the prevalence of malnutrition [i.e., moderate stunting (≤2 H/A-Z), underweight (≤2 W/A-Z), and wasting (≤2 W/H-Z) were respectively 0.3% (n = 2), 1.6% (n = 11), and 2.5% (n = 17). Children’s mean hair Hg (HHg) concentration was 2.56 μg/g (SD = 1.67); only 14% of children had HHg concentrations lower than 1 μg/g and 1.7% had ≥5 μg/g. The biomarker of fish consumption was weakly but positively correlated with GDS (Spearman r = 0.080; p = 0.035). In the bivariate model, attained W/H-Z scores were not significantly correlated with GDS. A moderate level of GDS deficits (70–84%) was seen in 20% of children. There was significant correlation between family fish consumption and children’s hair Hg (HHg) (Spearman r = 0.1756; p < 0.0001) but no significant correlation between children’s HHg and W/H-Z scores. However, the multivariate model showed that breastfeeding, a fish consumption biomarker (HHg), maternal education, and child’s age were statistically significant associated with specific domains (language and personal-social) of the Gesell scale. In this mining environment, family fish-eating did not affect children’s linear growth, but it showed a positive influence (along with maternal variables) on neurodevelopment. Health hazards attendant on a high prevalence of moderate neurodevelopment delays coexisting with exposure to multiple neurotoxic substances merits further investigation in poor environmental settings of tin-mining areas.

Keywords

Fish Consumption Cassiterite MeHg Exposure Vaccination Card Moderate Delay 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank the mothers who gracefully participated in the study, the “Prefeitura Municipal de Ariquemes,” “Escola Municipal Padre Ângelo Spadari”, and “Cooperativa de Garimpeiros de Santa Cruz LTDA–COOPERSANTA”. We also thank the dedication of Elen Noujain, Rogério Monteiro, José Luiz Lazarini, Jr., and Professor Edina Miazaki for help with the statistical analysis. This work was partly supported by the National Research Council of Brazil-CNPq (CT-HIDRO, project-555516/2006-7; CT-AMAZONIA, project-575573/2008-2).

References

  1. Adimado AA, Baah DA (2002) Mercury in human blood, urine, hair, nail, and fish from the Ankobra and Tano river basins in southwestern Ghana. Bull Environ. Contam Toxicol 68:339–346CrossRefGoogle Scholar
  2. Bao QS, Lu CY, Song H, Wang M, Ling W, Chen WQ, Deng XQ, Hao YT, Rao S (2009) Behavioural development of school-aged children who live around a multi-metal sulphide mine in Guangdong province, China: a cross-sectional study. BMC Public Health 9:217CrossRefGoogle Scholar
  3. Barbieri FL, Cournil A, Gardon J (2009) Mercury exposure in a high fish eating Bolivian Amazonian population with intense small-scale gold-mining activities. Int J Environ Health Res 19:267–277CrossRefGoogle Scholar
  4. Barbieri FL, Cournil A, Souza Sarkis JE, Bénéfice E, Gardon J (2011) Hair trace elements concentration to describe polymetallic mining waste exposure in Bolivian Altiplano. Biol Trace Element Res 139:10–23CrossRefGoogle Scholar
  5. Boischio AA, Henshel D (2000) Fish consumption, fish lore, and mercury pollution: risk communication for the Madeira River people. Environ Res 84:108–126CrossRefGoogle Scholar
  6. Bonham MP, Duffy EM, Robson PJ, Wallace J, Myers GJ, Davidson PW, Clarkson TW, Shamlaye CF, Strain JJ, Livingstone MB (2009) Contribution of fish to intakes of micronutrients important for fetal development: a dietary survey of pregnant women in the Republic of Seychelles. Public Health Nutr 2:1312–1320CrossRefGoogle Scholar
  7. Bose-O’Reilly S, Lettmeier B, Gothe RM, Beinhoff C, Siebert U, Drasch G (2008) Mercury as a serious health hazard for children in gold mining areas. Environ Res 107:89–97CrossRefGoogle Scholar
  8. Chevrier C, Sullivan K, White RF, Comtois C, Cordier S, Grandjean P (2009) Qualitative assessment of visuospatial errors in mercury-exposed Amazonian children. Neurotoxicology 30:37–46CrossRefGoogle Scholar
  9. Cortes-Maramba N, Reyes JP, Francisco-Rivera AT, Akagi H, Sunio R, Panganiban LC (2006) Health and environmental assessment of mercury exposure in a gold mining community in Western Mindanao, Philippines. J Environ Manage 81:126–134CrossRefGoogle Scholar
  10. Counter SA, Buchanan LH, Ortega F (2005) Mercury levels in urine and hair of children in an Andean gold-mining settlement. Int J Occup Environ Health 11:132–137Google Scholar
  11. Counter SA, Buchanan LH, Ortega F (2006) Neurocognitive screening of mercury-exposed children of Andean gold miners. Int J Occup Environ Health 12:209–214Google Scholar
  12. Dórea JG (2003) Fish are central in the diet of Amazonian riparians: should we worry about their mercury concentrations? Environ Res 92:232–244CrossRefGoogle Scholar
  13. Dórea JG (2004) Cassava cyanogens and fish mercury are high but safely consumed in the diet of native Amazonians. Ecotoxicol Environ Safety 57:248–256CrossRefGoogle Scholar
  14. Dórea JG (2009a) Comparing fish-mercury exposed Amazonian children: should not we consider thimerosal-preserved vaccines? Neurotoxicology 30:485–486CrossRefGoogle Scholar
  15. Dórea JG (2009b) Fish: biomarkers: blood or hair? Public Health Nutr 12:2536–2537CrossRefGoogle Scholar
  16. Dórea JG, Marques RC (2010) Infants’ exposure to aluminum from vaccines and breast milk during the first 6 months. J Expo Sci Environ Epidemiol 20:598–601CrossRefGoogle Scholar
  17. Dórea JG, Barbosa AC, Ferrari I, De Souza JR (2005) Fish consumption (hair mercury) and nutritional status of Amazonian Amer-Indian children. Am J Hum Biol 17:507–514CrossRefGoogle Scholar
  18. Dórea JG, Bezerra VL, Fajon V, Horvat M (2011a) Speciation of methyl- and ethyl-mercury in hair of breastfed infants acutely exposed to thimerosal-containing vaccines. Clin Chim Acta 412:1563–1566CrossRefGoogle Scholar
  19. Dórea JG, Wimer W, Marques RC, Shade C (2011b) Automated speciation of mercury in the hair of breastfed infants exposed to ethylmercury from thimerosal-containing vaccines. Biol Trace Element Res 140:262–271CrossRefGoogle Scholar
  20. Drasch G, Böse-O’Reilly S, Beinhoff C, Roider G, Maydl S (2001) The Mt. Diwata study on the Philippines 1999—assessing mercury intoxication of the population by small scale gold mining. Sci Total Environ 267:151–168CrossRefGoogle Scholar
  21. Dror R, Malinger G, Ben-Sira L, Lev D, Pick CG, Lerman-Sagie T (2009) Developmental outcome of children with enlargement of the cisterna magna identified in utero. J Child Neurol 24:1486–1492CrossRefGoogle Scholar
  22. Fonseca MF, Dórea JG, Bastos WR, Marques RC, Torres JP, Malm O (2008) Poor psychometric scores of children living in isolated riverine and agrarian communities and fish-methylmercury exposure. Neurotoxicology 29:1008–1015CrossRefGoogle Scholar
  23. Gesell A (2003) A criança de 0 a 5 anos, 6th edn. Martins Fontes, São Paulo, pp 20–300Google Scholar
  24. Gesell A, Amatruda CS (2000) Psicologia do Desenvolvimento-do Lactente a criança pequena, bases neuropsicológicas e comportamentais Atheneu, São Paulo, pp 30–106Google Scholar
  25. Lefcort H, Vancura J, Lider EL (2010) 75 Years after mining ends stream insect diversity is still affected by heavy metals. Ecotoxicology 19:1416–1425CrossRefGoogle Scholar
  26. Lopes I, Sedlmayr A, Moreira-Santos M, Moreno-Garrido I, Blasco J, Ribeiro R (2010) European bee-eater (Merops apiaster) populations under arsenic and metal stress: evaluation of exposure at a mining site. Environ Monit Assess 161:237–245CrossRefGoogle Scholar
  27. Marques RC, Dórea JG, Bastos WR, Malm O (2007a) Changes in children hair-Hg concentrations during the first 5 years: maternal, environmental and iatrogenic modifying factors. Regul Toxicol Pharmacol 49:17–24CrossRefGoogle Scholar
  28. Marques RC, Dórea JG, Bastos WR, Rebelo MF, Fonseca MF, Malm O (2007b) Maternal mercury exposure and neuro-motor development in breastfed infants from Porto Velho (Amazon), Brazil. Int J Hyg Environ Health 210:51–60CrossRefGoogle Scholar
  29. Marques RC, Dórea JG, Bernardi JV, Bastos WR, Malm O (2008) Maternal fish consumption in the nutrition transition of the Amazon Basin: growth of exclusively breastfed infants during the first 5 years. Ann Hum Biol 35:363–377CrossRefGoogle Scholar
  30. Marques RC, Dórea JG, Bernardi JV, Bastos WR, Malm O (2009) Prenatal and postnatal mercury exposure, breastfeeding and neurodevelopment during the first 5 years. Cogn Behav Neurol 22:134–141CrossRefGoogle Scholar
  31. Marques RC, Dórea JG, McManus C, Leão RS, Brandão KG, Marques RC, Vieira IGI, Guimarães JRD, Malm O (2011) Hydroelectric-reservoir inundation (Rio Madeira Basin-Amazon) and changes in traditional lifestyle: impact on growth and neuro-development of preschoolers. Pub Health Nutr 14(4):661–669CrossRefGoogle Scholar
  32. Mendez MA, Torrent M, Julvez J, Ribas-Fitó N, Kogevinas M, Sunyer J (2009) Maternal fish and other seafood intakes during pregnancy and child neurodevelopment at age 4 years. Public Health Nutr 12:1702–1710CrossRefGoogle Scholar
  33. Myers GJ, Davidson PW, Strain JJ (2007) Nutrient and methyl mercury exposure from consuming fish. J Nutr 137:2805–2808Google Scholar
  34. Oken E, Radesky JS, Wright RO, Bellinger DC, Amarasiriwardena CJ, Kleinman KP, Hu H, Gillman MW (2008) Maternal fish intake during pregnancy, blood mercury levels, and child cognition at age 3 years in a US cohort. Am J Epidemiol 167:1171–1181CrossRefGoogle Scholar
  35. Pinheiro MC, Crespo-López ME, Vieira JL, Oikawa T, Guimarães GA, Araújo CC, Amoras WW, Ribeiro DR, Herculano AM, do Nascimento JL, Silveira LC (2007) Mercury pollution and childhood in Amazon riverside villages. Environ Int 33:56–61CrossRefGoogle Scholar
  36. Piperata BA (2007) Nutritional status of Ribeirinhos in Brazil and the nutrition transition. Am J Phys Anthropol 133:868–878CrossRefGoogle Scholar
  37. Stewart PW, Reihman J, Lonky EI, Darvill TJ, Pagano J (2003) Cognitive development in preschool children prenatally exposed to PCBs and MeHg. Neurotoxicol Teratol 25:11–22CrossRefGoogle Scholar
  38. Suzuki K, Nakai K, Sugawara T, Nakamura T, Ohba T, Shimada M, Hosokawa T, Okamura K, Sakai T, Kurokawa N, Murata K, Satoh C, Satoh H (2010) Neurobehavioral effects of prenatal exposure to methylmercury and PCBs, and seafood intake: neonatal behavioral assessment scale results of Tohoku study of child development. Environ Res 110:699–704CrossRefGoogle Scholar
  39. Tang D, Li TY, Liu JJ, Zhou ZJ, Yuan T, Chen YH, Rauh VA, Xie J, Perera F (2008) Effects of prenatal exposure to coal-burning pollutants on children’s development in China. Environ Health Perspect 116:674–679CrossRefGoogle Scholar
  40. Tarras-Wahlberg NH, Flachier A, Lane SN, Sangfors O (2001) Environmental impacts and metal exposure of aquatic ecosystems in rivers contaminated by small scale gold mining: the Puyango River basin, southern Ecuador. Sci Total Environ 278:239–261CrossRefGoogle Scholar
  41. Torres-Sánchez L, Schnaas L, Cebrián ME, Hernández M, del Valencia EOC, García Hernández RM, López-Carrillo L (2009) Prenatal dichlorodiphenyldichloroethylene (DDE) exposure and neurodevelopment: a follow-up from 12 to 30 months of age. Neurotoxicology 30:1162–1165CrossRefGoogle Scholar
  42. Umbangtalad S, Parkpian P, Visvanathan C, Delaune RD, Jugsujinda A (2007) Assessment of Hg contamination and exposure to miners and schoolchildren at a small-scale gold mining and recovery operation in Thailand. J Environ Sci Health A: Tox Hazard Subst Environ Eng 42:2071–2079CrossRefGoogle Scholar
  43. Velásquez-López PC, Veiga MM, Hall K (2010) Mercury balance in amalgamation in artisanal and small-scale gold mining: identifying strategies for reducing environmental pollution in Portovelo-Zaruma, Ecuador. J Cleaner Prod 18:226–232CrossRefGoogle Scholar
  44. Wickre JB, Folt CL, Sturup S, Karagas MR (2004) Environmental exposure and fingernail analysis of arsenic and mercury in children and adults in a Nicaraguan gold mining community. Arch Environ Health 59:400–409CrossRefGoogle Scholar
  45. World Health Organization (2007) WHO Anthro for Personal Computers, Version 2. Software for Assessing Growth and Development of the World’s Children. WHO, Geneva. Available at http://www.who.int/childgrowth/software/en/
  46. Zocche JJ, Leffa DD, Damiani AP, Carvalho F, Mendonça RA, Santos CEI, Boueur LA, Dias JF, Andrade VM (2010) Heavy metals and DNA damage in blood cells of insectivore bats in coal mining areas of Catarinense coal basin, Brazil. Environ Res 110:684–691CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Rejane C. Marques
    • 1
  • José G. Dórea
    • 2
    Email author
  • Renata S. Leão
    • 3
  • Verusca G. dos Santos
    • 4
  • Lucélia Bueno
    • 5
  • Rayson C. Marques
    • 4
  • Katiane G. Brandão
    • 6
  • Elisabete F. A. Palermo
    • 7
  • Jean Remy D. Guimarães
    • 3
  1. 1.Escola de Enfermagem Anna NeryUniversidade Federal do Rio de JaneiroRio de JaneiroBrazil
  2. 2.Department of NutritionUniversidade de BrasíliaBrasíliaBrazil
  3. 3.Instituto de Biofísica Carlos Chagas FilhoUniversidade Federal do Rio de JaneiroRio de JaneiroBrazil
  4. 4.Prefeitura Municipal de Porto VelhoPorto VelhoBrazil
  5. 5.Department of NursingUniversidade Federal de RondôniaPorto VelhoBrazil
  6. 6.Medical SchoolUniversidade Federal de RondôniaPorto VelhoBrazil
  7. 7.Universidade Federal do Estado do Rio de JaneiroRio de JaneiroBrazil

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