2011
DOI: 10.1080/15275922.2011.577521
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Cadmium in Rice: Disease and Social Considerations

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Cited by 8 publications
(10 citation statements)
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“…Human intake of Cd has been reported to be highest through consumption of rice [88]. Contamination of rice with toxic heavy metals is especially a health concern in developing countries [89].…”
Section: Bioaccumulation Of Heavy Metals In Rice (Oryza Sativa)mentioning
confidence: 99%
“…Human intake of Cd has been reported to be highest through consumption of rice [88]. Contamination of rice with toxic heavy metals is especially a health concern in developing countries [89].…”
Section: Bioaccumulation Of Heavy Metals In Rice (Oryza Sativa)mentioning
confidence: 99%
“…In our study, the human intake of Cd was reported to be highest through the consumption of Allium cepa . Besante et al [ 60 ] also reported that Cd contamination of food has severe toxic effects on human health, especially in developing countries [ 51 ]. High concentrations of these metals in edible portions affect food quality and pose health risks, particularly to local consumers.…”
Section: Resultsmentioning
confidence: 99%
“…An increase in DALYs reflects the additional fraction of burden of disease that can be eliminated once effective interventions are used to alleviate the problems. For the cadmium situation in Mae Sot, the best solution for this problem is to mitigate the problem by reducing population exposure to cadmium or reducing PF as high cadmium exposure level as shown in other land contamination management strategies of other countries, such as Toyama in Japan [ 44 , 45 , 46 ].Two major findings from this study show the significance of the problem, percentage of add-DALYs reflecting an increase of disease burden of Mae Sot population compared to the general Thai population and the ceiling effect implying that the exposure dose of Mae Sot people is much higher than populations from other countries with Cd contamination by their standard. The quantification of add-DALYs can be used for priority setting, especially when the data is combined with other useful information such as economic evaluation following health outcome development.…”
Section: Discussionmentioning
confidence: 99%