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A Risk Assessment for Methylmercury in Tuna

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Abstract

An analysis of the risk of a developmental delay or neurological impairment in children as a result of exposure to MeHg from tuna consumption was conducted. Data used as a basis for the analyses were obtained from surveys of tuna intake, MeHg concentrations in tuna, MeHg levels in the blood of pregnant women, individual relationships between dietary intake and blood levels, individual relationships between blood levels and hair levels, and individual relationships between hair levels and indices of behavioral and neurological performance. Causal or associational relationships, population variability, and uncertainty were modeled for the six data sets. Two predictive models were constructed using the model components. The first was designed to predict the risk of a delay in the onset of talking in a child of a mother who frequently consumes tuna (90 g-day-1). This model uses a one-dimensional Monte-Carlo simulation to assimilate the uncertainties. An average delay of 3-4 days was est imated. The second model was designed to compare the impact of several regulatory options on the risk among the population of tuna-eaters using a scale of central nervous system dysfunction expressly constructed for the assessment. A two-dimensional Monte-Carlo simulation was used to assimilate the distributional components describing population variability and uncertainty.

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References

  • Carrington, CD (1996). Human Ecol Risk Assess 2:62-73.

    Google Scholar 

  • Cernichiari E, Brewer R, Myers GJ, Marsh DO, Lapham LW, Cox C, Shamlaye CF, Berlin M, Davidson PW, and Clarkson TW (1996). Neurotoxicol 16:705-709.

    Google Scholar 

  • Cox C, Clarkson TW, Marsh DO, Amin-Zaki L, Tikriti S, and Myers GG (1989). Environ Res 49:318-332.

    Google Scholar 

  • Kuhnert PM, Kuhnert BR, and Erhard P (1981). Am J Obstet Gynecol 139:209-213.

    Google Scholar 

  • Lipfert FW, Moskowitz PD, Fthenakis VM, and Saroff L (1996). Neurotoxicol. 17:197-212.

    Google Scholar 

  • Marsh, DO, Clarkson TW, Cox C, Myers GJ, Amin-Zaki L, and Al-Tikriti S. (1987). Arch. Neurol. 44:1017-1022.

    Google Scholar 

  • Marsh DO, Clarkson TW, Myers GJ, Davidson PW, Cox C, Cernichiari E, Tanner MA, Lednar W, Shamlaye CF, Choisy O, Hoareau C, and Berlin M (1995). Neurotoxicol 16:583-596.

    Google Scholar 

  • National Academy of Sciences (1991). Seafood Safety, NAS, Washington, DC pp 172-266.

    Google Scholar 

  • Sherlock JC, Hislop J, Newton D, Topping G., and Whittle K (1984). Hum Toxicol 3:117-131.

    Google Scholar 

  • Sherlock JC, Lindsay DG, Hislop JE, Evans WH, and Collier TR (1982). Arch Environ Hlth 37:271-278.

    Google Scholar 

  • Sherlock JC and Quinn M (1988). Hum Toxicol 7:129-132.

    Google Scholar 

  • Stern A (1993). Risk Analysis 13:355-364.

    Google Scholar 

  • Tollefson L and Cordle F (1986). Environ Hlth Perspect 68:203-208.

    Google Scholar 

  • World Health Organization (1990). Environmental Health Criteria 101. Methylmercury. WHO International Programme on Chemical Safety, Geneva.

    Google Scholar 

  • Yess N (1993). J AOAC Int 76:36-38.

    Google Scholar 

Download references

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Carrington, C.D., Cramer, G.M. & Bolger, P.M. A Risk Assessment for Methylmercury in Tuna. Water, Air, & Soil Pollution 97, 273–283 (1997). https://doi.org/10.1023/A:1018367225334

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  • DOI: https://doi.org/10.1023/A:1018367225334

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