Harmonized approach to estimate the burden of disease of dietary exposure to four chemical contaminants - A French study

Hernán G. Redondo*, Laurent Guillier, Nawel Bemrah, Lea Sletting Jakobsen, Sofie Theresa Thomsen, Sara M. Pires

*Corresponding author for this work

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Abstract

Exposure to chemical contaminants found in foods has been associated with various adverse health effects. Burden of disease studies are increasingly used to estimate the public health impact of such exposures. The aims of this study were to estimate the burden of disease due to dietary exposure to four chemicals in France in 2019 (lead (Pb), cadmium (Cd), methylmercury (MeHg), and inorganic arsenic (i-As)), and to develop harmonized methods that can be applied for other chemicals and countries. We used national food consumption data from the third French national food consumption survey, chemical food monitoring data from the Second French Total Diet Study (TDS), dose-response data and disability weights from scientific literature, and disease incidence and demographics from national statistics. We adopted a risk assessment approach to estimate disease burden, incidence, mortality, and Disability-Adjusted Life Years (DALYs) attributable to dietary exposure to the chemicals. In all models, we harmonized food classification and exposure assessment. We propagated uncertainty through the calculations using Monte Carlo simulation. We estimated that, among these chemicals, i-As and Pb were responsible for the highest disease burden. i-As was estimated to cause 820 DALYs, or approximately 1.25 DALYs per 100,000 inhabitants. The estimated burden of Pb was 1834 to 5936 DALYs, or 2.7 (lower bound) to 8.96 (upper bound) DALYs/100,000. The burden of MeHg (192 DALYs), and Cd (0 DALY) was substantially lower. The foods contributing most to disease burden was drinks (30 %), "other foods" (mostly composite dishes) (19 %), and fish and seafood (7 %). Interpretation of estimates needs to consider all underlying uncertainties, linked with data and knowledge gaps. The harmonized models are the first to make use of data from TDS, which are available in several other countries. Thus, they can be applied to estimate the burden and to rank food-associated chemicals at national level.
Original languageEnglish
Article number164804
JournalScience of the Total Environment
Volume894
Number of pages11
ISSN0048-9697
DOIs
Publication statusPublished - 2023

Keywords

  • Methylmercury
  • Arsenic
  • Cadmium
  • Lead
  • Burden of disease
  • DALY
  • Diet
  • Health impact

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