Literature DB >> 21432141

Effects of hair treatment on hair mercury-The best biomarker of methylmercury exposure?

Miwako Dakeishi1, Kunihiko Nakai, Mineshi Sakamoto, Toyoto Iwata, Keita Suzuki, Xiao-Jie Liu, Tomoko Ohno, Tomoko Kurosawa, Hiroshi Satoh, Katsuyuki Murata.   

Abstract

OBJECTIVES: Exposure misclassification is a major obstacle to obtain accurate dose-response relationships. In order to solve this problem, the impact of hair treatment on total mercury in hair was assessed in Japanese women.
METHODS: A cross-sectional study was carried out among 327 women at age 24-49 years to determine hair mercury levels and estimate daily mercury intakes from seafood by using a food frequency questionnaire.
RESULTS: Hair mercury levels in the women and daily mercury intake ranged from 0.11 to 6.86 (median 1.63) μg/g and from 0.77 to 144.9 (median 15.0) μg/day, respectively. The hair mercury was positively correlated with the daily mercury intake (p<0.001). When the women were divided into two subgroups based on artificial hair-waving, hair coloring/dyeing, residence (non-fishing and fishing areas), and working status, a significant difference in the hair mercury level was observed between the women with and without artificial hair-waving only (p<0.001). The multiple regression analysis showed that the log-transformed hair mercury level was significantly related to the log-transformed daily mercury intake (standardized regression coefficient βs=0.307) and artificial hair-waving (βs=-0.276); but not to hair coloring/dyeing, residence, working status or age. Permanent hair treatment was estimated to reduce total mercury in hair by approximately 30%, after adjusting for daily mercury intake and other possible factors.
CONCLUSIONS: These findings suggest that hair mercury is not the best biomarker of methylmercury exposure when a study population includes women with artificial hair-waving.

Entities:  

Keywords:  Japanese women; daily mercury intake; exposure biomarker; hair mercury; permanent hair treatment

Year:  2005        PMID: 21432141      PMCID: PMC2723315          DOI: 10.1007/BF02897712

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


  17 in total

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Authors:  Akira Yasutake; Miyuki Matsumoto; Masako Yamaguchi; Noriyuki Hachiya
Journal:  Tohoku J Exp Med       Date:  2003-03       Impact factor: 1.848

2.  Estimation of daily mercury intake from seafood in Japanese women: Akita cross-sectional study.

Authors:  Yoko Iwasaki; Mineshi Sakamoto; Kunihiko Nakai; Tomoko Oka; Miwako Dakeishi; Toyoto Iwata; Hiroshi Satoh; Katsuyuki Murata
Journal:  Tohoku J Exp Med       Date:  2003-06       Impact factor: 1.848

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Journal:  Chemosphere       Date:  1997-12       Impact factor: 7.086

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Journal:  J Epidemiol       Date:  1996-08       Impact factor: 3.211

5.  Methylmercury dose estimation from umbilical cord concentrations in patients with Minamata disease.

Authors:  H Akagi; P Grandjean; Y Takizawa; P Weihe
Journal:  Environ Res       Date:  1998-05       Impact factor: 6.498

6.  Methylmercury exposure biomarkers as indicators of neurotoxicity in children aged 7 years.

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Journal:  Am J Epidemiol       Date:  1999-08-01       Impact factor: 4.897

7.  Effects of methylmercury on neurodevelopment in Japanese children in relation to the Madeiran study.

Authors:  Katsuyuki Murata; Mineshi Sakamoto; Kunihiko Nakai; Pal Weihe; Miwako Dakeishi; Toyoto Iwata; Xiao-Jie Liu; Tomoko Ohno; Tomoko Kurosawa; Kazuko Kamiya; Hiroshi Satoh
Journal:  Int Arch Occup Environ Health       Date:  2004-11-20       Impact factor: 3.015

8.  Effects of prenatal and postnatal methylmercury exposure from fish consumption on neurodevelopment: outcomes at 66 months of age in the Seychelles Child Development Study.

Authors:  P W Davidson; G J Myers; C Cox; C Axtell; C Shamlaye; J Sloane-Reeves; E Cernichiari; L Needham; A Choi; Y Wang; M Berlin; T W Clarkson
Journal:  JAMA       Date:  1998-08-26       Impact factor: 56.272

9.  Prenatal methylmercury exposure from ocean fish consumption in the Seychelles child development study.

Authors:  Gary J Myers; Philip W Davidson; Christopher Cox; Conrad F Shamlaye; Donna Palumbo; Elsa Cernichiari; Jean Sloane-Reeves; Gregory E Wilding; James Kost; Li-Shan Huang; Thomas W Clarkson
Journal:  Lancet       Date:  2003-05-17       Impact factor: 79.321

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Authors:  T Ando; I Wakisaka; T Yanagihashi; T Tomari; H Hatano
Journal:  Nihon Eiseigaku Zasshi       Date:  1989-02
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  3 in total

1.  Subclinical effects of prenatal methylmercury exposure on cardiac autonomic function in Japanese children.

Authors:  Katsuyuki Murata; Mineshi Sakamoto; Kunihiko Nakai; Miwako Dakeishi; Toyoto Iwata; Xiao-Jie Liu; Hiroshi Satoh
Journal:  Int Arch Occup Environ Health       Date:  2005-12-20       Impact factor: 3.015

2.  Estimation of the Biological Half-Life of Methylmercury Using a Population Toxicokinetic Model.

Authors:  Seongil Jo; Hae Dong Woo; Ho-Jang Kwon; Se-Young Oh; Jung-Duck Park; Young-Seoub Hong; Heesoo Pyo; Kyung Su Park; Mina Ha; Ho Kim; Seok-Joon Sohn; Yu-Mi Kim; Ji-Ae Lim; Sang-Ah Lee; Sang-Yong Eom; Byoung-Gwon Kim; Kyoung-Mu Lee; Jong-Hyeon Lee; Myung Sil Hwang; Jeongseon Kim
Journal:  Int J Environ Res Public Health       Date:  2015-07-31       Impact factor: 3.390

3.  Development, validation and utilisation of dish-based dietary assessment tools: a scoping review.

Authors:  Nana Shinozaki; Xiaoyi Yuan; Kentaro Murakami; Satoshi Sasaki
Journal:  Public Health Nutr       Date:  2020-08-06       Impact factor: 4.022

  3 in total

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