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Relationship between dietary mercury intake and blood mercury level in Korea.
You, Chang-Hun; Kim, Byoung-Gwon; Kim, Yu-Mi; Lee, Sang-Ah; Kim, Rock-Bum; Seo, Jeong-Wook; Hong, Young-Seoub.
Afiliação
  • You CH; Department of Preventive Medicine, Dong-A University, Busan, Korea.
  • Kim BG; Department of Preventive Medicine, Dong-A University, Busan, Korea. ; Environmental Health Center, Dong-A University, Busan, Korea.
  • Kim YM; Department of Preventive Medicine, Dong-A University, Busan, Korea. ; Environmental Health Center, Dong-A University, Busan, Korea.
  • Lee SA; Department of Preventive Medicine, College of Medicine, Kangwon University, Chuncheon, Korea.
  • Kim RB; Department of Preventive Medicine, Dong-A University, Busan, Korea. ; Environmental Health Center, Dong-A University, Busan, Korea.
  • Seo JW; Department of Preventive Medicine, Dong-A University, Busan, Korea.
  • Hong YS; Department of Preventive Medicine, Dong-A University, Busan, Korea. ; Environmental Health Center, Dong-A University, Busan, Korea.
J Korean Med Sci ; 29(2): 176-82, 2014 Feb.
Article em En | MEDLINE | ID: mdl-24550642
This study was performed to evaluate the effect of dietary factors for mercury exposure by comparing with blood mercury concentration. Study population consisted of 1,866 adults (839 men and 1,027 women) in randomly-selected 30 districts in southeast Korea. Dietary mercury intake was calculated from food frequency questionnaire (FFQ) on seafood items and 24 hr recall record. Blood mercury concentration was measured with atomic absorption spectrometry. Mean age of the subjects was 43.5 ± 14.6 yr. The FFQ showed that mercury-laden fish (tuna, shark) and frequently-eating fish (squid, belt fish, mackerel) were important in mercury intake from fish species. The recall record suggested that fish and shellfish was a highest group (63.1%) of mercury intake and had a wide distribution in the food groups. In comparison with the blood mercury concentration, age group, sex, household income, education, drinking status and coastal area were statistically significant (P < 0.001). In multiple regression analysis, coefficient from the FFQ (ß = 0.003) had greater effect on the blood mercury than the recall record (ß = 0.002), but the effect was restricted (adjusted R(2) = 0.234). Further studies with more precise estimation of dietary mercury intake were required to evaluate the risk for mercury exposure by foods and assure risk communication with heavily-exposed group.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Alimentos Marinhos / Comportamento Alimentar / Mercúrio Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Alimentos Marinhos / Comportamento Alimentar / Mercúrio Idioma: En Ano de publicação: 2014 Tipo de documento: Article