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Probabilistic Integrated Human Mixture Risk Assessment of Multiple Metals Through Seafood Consumption

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  • Yi‐Jun Lin
  • Pinpin Lin

Abstract

Inorganic arsenic (iAs), cadmium (Cd), lead (Pb), and methylmercury (MeHg) are toxic metals that cause substantial health concern and are present in various seafood items. This study linked probabilistic risk assessment to the interactive hazard index (HIINT) approach to assess the human mixture risk posed by the dietary intake of iAs, Cd, Pb, and MeHg from seafood for different age populations, and joint toxic actions and toxic interactions among metals were also considered in the assessment. We found that, in combination, an iAs–Cd–Pb–MeHg mixture synergistically causes neurological toxicity. Furthermore, an iAs–Cd–Pb mixture antagonistically causes renal and hematological effects and additively causes cardiovascular effect. Our results demonstrated that if toxic interactions are not considered, the health risk may be overestimated or underestimated. The 50th percentile HIINT estimates in all age populations for neurological, renal, cardiovascular, and hematological effects were lower than 1; however, the 97.5th percentile HIINT estimates might exceed 1. In particular, toddlers and preschoolers had the highest neurological risk, with 0.16 and 0.19 probabilities, respectively, of neurological HIINT exceeding 1. Saltwater fish consumption was the principal contributor to the health risk. We suggest that regular monitoring of metal levels in seafood, more precise dietary surveys, further toxicological data, and risk–benefit analysis of seafood consumption are warranted to improve the accuracy of human mixture risk assessment and determine optimal consumption.

Suggested Citation

  • Yi‐Jun Lin & Pinpin Lin, 2019. "Probabilistic Integrated Human Mixture Risk Assessment of Multiple Metals Through Seafood Consumption," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 426-438, February.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:2:p:426-438
    DOI: 10.1111/risa.13183
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    References listed on IDEAS

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    1. Ying Zhang & Satoshi Nakai & Shigeki Masunaga, 2009. "An Exposure Assessment of Methyl Mercury via Fish Consumption for the Japanese Population," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1281-1291, September.
    2. Carlos Cardoso & Inês Farias & Valentina Costa & Maria Nunes & Leonel Gordo, 2010. "Estimation of Risk Assessment of Some Heavy Metals Intake Through Black Scabbardfish (Aphanopus carbo) Consumption in Portugal," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 952-961, June.
    3. Katherine von Stackelberg & Elizabeth Guzy & Tian Chu & Birgit Claus Henn, 2015. "Exposure to Mixtures of Metals and Neurodevelopmental Outcomes: A Multidisciplinary Review Using an Adverse Outcome Pathway Framework," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 971-1016, June.
    4. Hamm, Robert M., 1991. "Selection of verbal probabilities: A solution for some problems of verbal probability expression," Organizational Behavior and Human Decision Processes, Elsevier, vol. 48(2), pages 193-223, April.
    5. Kimberly M. Thompson, 2002. "Variability and Uncertainty Meet Risk Management and Risk Communication," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 647-654, June.
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