エコチル調査における化学物質曝露評価
「1. はじめに」環境省事業「子どもの健康と環境に関する全国調査(エコチル調査)」は, 2010年に開始された大規模出生コホート研究である. エコチル調査では, 胎児期及び小児期の環境要因, 特に化学物質への曝露が子どもの健康, 発達に影響するかどうかを調査する. その特徴として, 1) 10万人の妊婦を対象とする大規模調査であること, 2) 生まれた子どもを13歳になるまで追跡調査する長期前向きコホート調査であること, 3) 妊娠期間中の母親(可能な場合父親も)の生体試料(血液, 尿), 出産時の生体試料(母親試料, 臍帯血試料), 生後の試料(母乳, 子ども試料等)を幅広く採取し, バイオ...
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| Published in | 日本衛生学雑誌 Vol. 73; no. 2; pp. 156 - 163 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
一般社団法人日本衛生学会
2018
日本衛生学会 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-5082 1882-6482 |
| DOI | 10.1265/jjh.73.156 |
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| Abstract | 「1. はじめに」環境省事業「子どもの健康と環境に関する全国調査(エコチル調査)」は, 2010年に開始された大規模出生コホート研究である. エコチル調査では, 胎児期及び小児期の環境要因, 特に化学物質への曝露が子どもの健康, 発達に影響するかどうかを調査する. その特徴として, 1) 10万人の妊婦を対象とする大規模調査であること, 2) 生まれた子どもを13歳になるまで追跡調査する長期前向きコホート調査であること, 3) 妊娠期間中の母親(可能な場合父親も)の生体試料(血液, 尿), 出産時の生体試料(母親試料, 臍帯血試料), 生後の試料(母乳, 子ども試料等)を幅広く採取し, バイオマーカーを用いた精密な曝露評価を行うこと, 4) 化学物質以外の幅広い環境要因(大気汚染, 居住環境, 子育て環境, 母親ストレス, コミュニティーサポート, 社会経済指標等)の測定を行うこと, 5) それにより複数の環境要因の影響を同時に評価することが可能であることなどが挙げられ, 世界的にも注目される調査である. |
|---|---|
| AbstractList | 「1. はじめに」環境省事業「子どもの健康と環境に関する全国調査(エコチル調査)」は, 2010年に開始された大規模出生コホート研究である. エコチル調査では, 胎児期及び小児期の環境要因, 特に化学物質への曝露が子どもの健康, 発達に影響するかどうかを調査する. その特徴として, 1) 10万人の妊婦を対象とする大規模調査であること, 2) 生まれた子どもを13歳になるまで追跡調査する長期前向きコホート調査であること, 3) 妊娠期間中の母親(可能な場合父親も)の生体試料(血液, 尿), 出産時の生体試料(母親試料, 臍帯血試料), 生後の試料(母乳, 子ども試料等)を幅広く採取し, バイオマーカーを用いた精密な曝露評価を行うこと, 4) 化学物質以外の幅広い環境要因(大気汚染, 居住環境, 子育て環境, 母親ストレス, コミュニティーサポート, 社会経済指標等)の測定を行うこと, 5) それにより複数の環境要因の影響を同時に評価することが可能であることなどが挙げられ, 世界的にも注目される調査である. |
| Author | 小林, 弥生 中山, 祥嗣 竹内, 文乃 小栗, 朋子 磯部, 友彦 岩井, 美幸 |
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| References | (18) Meeker JD, Cantonwine DE, Rivera-Gonzalez LO, Ferguson KK, Mukherjee B, Calafat AM, et al. Distribution, variability, and predictors of urinary concentrations of phenols and parabens among pregnant women in Puerto Rico. Environ Sci Technol 2013;47(7):3439–3447. (21) Deziel NC, Ward MH, Bell EM, Whitehead TP, Gunier RB, Friesen MC, et al. Temporal variability of pesticide concentrations in homes and implications for attenuation bias in epidemiologic studies. Environ Health Perspect 2013;121(5):565–571. (3) Ciesielski T, Weuve J, Bellinger DC, Schwartz J, Lanphear B, Wright RO. Cadmium exposure and neurodevelopmental outcomes in U.S. Children. Environ Health Perspect 2012;120(5):758–763. (35) Bello GA, Arora M, Austin C, Horton MK, Wright RO, Gennings C. Extending the distributed lag model framework to handle chemical mixtures. Environ Res 2017;156:253–264. (26) Verner MA, Sonneborn D, Lancz K, Muckle G, Ayotte P, Dewailly E, et al. Toxicokinetic modeling of persistent organic pollutant levels in blood from birth to 45 months of age in longitudinal birth cohort studies. Environ Health Perspect 2013;121(1):131–137. (32) Arora M, Austin C. Teeth as a biomarker of past chemical exposure. Curr Opin Pediatr 2013;25(2):261–267. (31) Andra SS, Austin C, Wright RO, Arora M. Reconstructing pre-natal and early childhood exposure to multi-class organic chemicals using teeth: Towards a retrospective temporal exposome. Environ Int 2015;83:137–145. (8) Lee JE, Choi K. Perfluoroalkyl substances exposure and thyroid hormones in humans: Epidemiological observations and implications. Ann Pediatr Endocrinol Metab 2017;22(1):6–14. (13) Lachin JM. The role of measurement reliability in clinical trials. Clin Trials 2004;1(6):553–566. (37) Dereumeaux C, Fillol C, Charles MA, Denys S. The French human biomonitoring program: First lessons from the perinatal component and future needs. Int J Hyg Environ Health 2017;220(2 Pt A):64–70. (33) Gennings C, Carrico C, Factor-Litvak P, Krigbaum N, Cirillo PM, Cohn BA. A cohort study evaluation of maternal PCB exposure related to time to pregnancy in daughters. Environ Health 2013;12(1):66. (11) 子どもの健康と環境に関する全国調査（エコチル調査）研究計画書（第1.51版）．http://www.env.go.jp/chemi/ceh/outline/data/kenkyukeikaku151.pdf（2018.3.10） (27) Wild CP. Complementing the genome with an “exposome”: The outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 2005;14(8):1847–1850. (9) Rappazzo KM, Coffman E, Hines EP. Exposure to perfluorinated alkyl substances and health outcomes in children: A systematic review of the epidemiologic literature. Int J Environ Res Public Health 2017;14(7):691. doi: 10.3390/ijerph14070691. (14) Braun JM, Kalkbrenner AE, Calafat AM, Bernert JT, Ye X, Silva MJ, et al. Variability and predictors of urinary bisphenol a concentrations during pregnancy. Environ Health Perspect 2011;119(1):131–137. (19) Suzuki Y, Niwa M, Yoshinaga J, Watanabe C, Mizumoto Y, Serizawa S, et al. Exposure assessment of phthalate esters in Japanese pregnant women by using urinary metabolite analysis. Environ Health Prev Med 2009;14(3):180–187. (20) Wielgomas B. Variability of urinary excretion of pyrethroid metabolites in seven persons over seven consecutive days—Implications for observational studies. Toxicol Lett 2013;221(1):15–22. (4) Ng DK-K, Chan C-H, Soo M-T, Lee RS-Y. Low-level chronic mercury exposure in children and adolescents: Meta-analysis. Pediatr Int 2007;49(1):80–87. (6) Bach CC, Vested A, Jørgensen KT, Bonde JP, Henriksen TB, Toft G. Perfluoroalkyl and polyfluoroalkyl substances and measures of human fertility: A systematic review. Crit Rev Toxicol 2016;46(9):735–755. (34) Czarnota J, Gennings C, Wheeler DC. Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk. Cancer Inform 2015;14(Suppl 2):159–171. (15) 小栗朋子，鈴木弥生，久田 文，吉永 淳．日本人における尿中無機ヒ素代謝産物濃度の個人内・個人間変動．Biomed Res Trace Elements 2012;23(1):33–39 (22) Verner MA, Loccisano AE, Morken NH, Yoon M, Wu H, McDougall R, et al. Associations of perfluoroalkyl substances (PFAS) with lower birth weight: An evaluation of potential confounding by glomerular filtration rate using a physiologically based pharmacokinetic model (PBPK). Environ Health Perspect 2015;123(12):1317–1324. (24) Verner MA, Ayotte P, Muckle G, Charbonneau M, Haddad S. A physiologically based pharmacokinetic model for the assessment of infant exposure to persistent organic pollutants in epidemiologic studies. Environ Health Perspect 2009;117(3):481–487. (5) Murata K, Iwata T, Dakeishi M, Karita K. Lead toxicity: Does the critical level of lead resulting in adverse effects differ between adults and children? J Occup Health 2009;51(1):1–12. (12) 小林弥生，岩井美幸，磯部友彦，小栗朋子，中山祥嗣．大規模出生コホート調査における質量分析計の応用．JSBMS Letters 2017;42(1):5–15 (2) Michikawa T, Nitta H, Nakayama SF, Yamazaki S, Isobe T, Tamura K, et al. Baseline profile of participants in the Japan Environment and Children’s Study (JECS). J Epidemiol 2017;28(2):99–104. (16) 久田 文，鈴木弥生，吉永 淳．尿中ヨウ素排泄濃度の個人内・個人間変動．日本衛生学雑誌2011;66(4):711–716 (36) Helsel DR. Statistics for censored environmental data using Minitab and R (2nd Ed). New Jersey: John Wiley & Sons, Inc., 2012. (10) 子どもの健康と環境に関する全国調査（エコチル調査）基本計画．https://www.env.go.jp/chemi/ceh/outline/data/kihonkeikaku.pdf（2018.3.10） (30) Andra SS, Austin C, Arora M. The tooth exposome in children’s health research. Curr Opin Pediatr 2016;28(2):221–227. (7) Bach CC, Bech BH, Brix N, Nohr EA, Bonde JP, Henriksen TB. Perfluoroalkyl and polyfluoroalkyl substances and human fetal growth: A systematic review. Crit Rev Toxicol 2015;45(1):53–67. (25) Verner MA, McDougall R, Johanson G. Using population physiologically based pharmacokinetic modeling to determine optimal sampling times and to interpret biological exposure markers: The example of occupational exposure to styrene. Toxicol Lett 2012;213(2):299–304. (28) Ambatipudi S, Cuenin C, Hernandez-Vargas H, Ghantous A, Le Calvez-Kelm F, Kaaks R, et al. Tobacco smoking-associated genome-wide DNA methylation changes in the EPIC study. Epigenomics 2016;8(5):599–618. (17) Smith KW, Braun JM, Williams PL, Ehrlich S, Correia KF, Calafat AM, et al. Predictors and variability of urinary paraben concentrations in men and women, including before and during pregnancy. Environ Health Perspect 2012;120(11):1538–1543. (29) Andra SS, Austin C, Arora M. Tooth matrix analysis for biomonitoring of organic chemical exposure: Current status, challenges, and opportunities. Environ Res 2015;142:387–406. (23) Verner MA, Charbonneau M, Lopez-Carrillo L, Haddad S. Physiologically based pharmacokinetic modeling of persistent organic pollutants for lifetime exposure assessment: A new tool in breast cancer epidemiologic studies. Environ Health Perspect 2008;116(7):886–892. (1) Kawamoto T, Nitta H, Murata K, Toda E, Tsukamoto N, Hasegawa M, et al. Rationale and study design of the Japan Environment and Children’s Study (JECS). BMC Public Health 2014;14:25. |
| References_xml | – reference: (1) Kawamoto T, Nitta H, Murata K, Toda E, Tsukamoto N, Hasegawa M, et al. Rationale and study design of the Japan Environment and Children’s Study (JECS). BMC Public Health 2014;14:25. – reference: (17) Smith KW, Braun JM, Williams PL, Ehrlich S, Correia KF, Calafat AM, et al. Predictors and variability of urinary paraben concentrations in men and women, including before and during pregnancy. Environ Health Perspect 2012;120(11):1538–1543. – reference: (19) Suzuki Y, Niwa M, Yoshinaga J, Watanabe C, Mizumoto Y, Serizawa S, et al. Exposure assessment of phthalate esters in Japanese pregnant women by using urinary metabolite analysis. Environ Health Prev Med 2009;14(3):180–187. – reference: (6) Bach CC, Vested A, Jørgensen KT, Bonde JP, Henriksen TB, Toft G. Perfluoroalkyl and polyfluoroalkyl substances and measures of human fertility: A systematic review. Crit Rev Toxicol 2016;46(9):735–755. – reference: (10) 子どもの健康と環境に関する全国調査（エコチル調査）基本計画．https://www.env.go.jp/chemi/ceh/outline/data/kihonkeikaku.pdf（2018.3.10） – reference: (8) Lee JE, Choi K. Perfluoroalkyl substances exposure and thyroid hormones in humans: Epidemiological observations and implications. Ann Pediatr Endocrinol Metab 2017;22(1):6–14. – reference: (26) Verner MA, Sonneborn D, Lancz K, Muckle G, Ayotte P, Dewailly E, et al. Toxicokinetic modeling of persistent organic pollutant levels in blood from birth to 45 months of age in longitudinal birth cohort studies. Environ Health Perspect 2013;121(1):131–137. – reference: (3) Ciesielski T, Weuve J, Bellinger DC, Schwartz J, Lanphear B, Wright RO. Cadmium exposure and neurodevelopmental outcomes in U.S. Children. Environ Health Perspect 2012;120(5):758–763. – reference: (33) Gennings C, Carrico C, Factor-Litvak P, Krigbaum N, Cirillo PM, Cohn BA. A cohort study evaluation of maternal PCB exposure related to time to pregnancy in daughters. Environ Health 2013;12(1):66. – reference: (20) Wielgomas B. Variability of urinary excretion of pyrethroid metabolites in seven persons over seven consecutive days—Implications for observational studies. Toxicol Lett 2013;221(1):15–22. – reference: (34) Czarnota J, Gennings C, Wheeler DC. Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk. Cancer Inform 2015;14(Suppl 2):159–171. – reference: (22) Verner MA, Loccisano AE, Morken NH, Yoon M, Wu H, McDougall R, et al. Associations of perfluoroalkyl substances (PFAS) with lower birth weight: An evaluation of potential confounding by glomerular filtration rate using a physiologically based pharmacokinetic model (PBPK). Environ Health Perspect 2015;123(12):1317–1324. – reference: (36) Helsel DR. Statistics for censored environmental data using Minitab and R (2nd Ed). New Jersey: John Wiley & Sons, Inc., 2012. – reference: (18) Meeker JD, Cantonwine DE, Rivera-Gonzalez LO, Ferguson KK, Mukherjee B, Calafat AM, et al. Distribution, variability, and predictors of urinary concentrations of phenols and parabens among pregnant women in Puerto Rico. Environ Sci Technol 2013;47(7):3439–3447. – reference: (15) 小栗朋子，鈴木弥生，久田 文，吉永 淳．日本人における尿中無機ヒ素代謝産物濃度の個人内・個人間変動．Biomed Res Trace Elements 2012;23(1):33–39． – reference: (11) 子どもの健康と環境に関する全国調査（エコチル調査）研究計画書（第1.51版）．http://www.env.go.jp/chemi/ceh/outline/data/kenkyukeikaku151.pdf（2018.3.10） – reference: (23) Verner MA, Charbonneau M, Lopez-Carrillo L, Haddad S. Physiologically based pharmacokinetic modeling of persistent organic pollutants for lifetime exposure assessment: A new tool in breast cancer epidemiologic studies. Environ Health Perspect 2008;116(7):886–892. – reference: (2) Michikawa T, Nitta H, Nakayama SF, Yamazaki S, Isobe T, Tamura K, et al. Baseline profile of participants in the Japan Environment and Children’s Study (JECS). J Epidemiol 2017;28(2):99–104. – reference: (29) Andra SS, Austin C, Arora M. Tooth matrix analysis for biomonitoring of organic chemical exposure: Current status, challenges, and opportunities. Environ Res 2015;142:387–406. – reference: (9) Rappazzo KM, Coffman E, Hines EP. Exposure to perfluorinated alkyl substances and health outcomes in children: A systematic review of the epidemiologic literature. Int J Environ Res Public Health 2017;14(7):691. doi: 10.3390/ijerph14070691. – reference: (21) Deziel NC, Ward MH, Bell EM, Whitehead TP, Gunier RB, Friesen MC, et al. Temporal variability of pesticide concentrations in homes and implications for attenuation bias in epidemiologic studies. Environ Health Perspect 2013;121(5):565–571. – reference: (25) Verner MA, McDougall R, Johanson G. Using population physiologically based pharmacokinetic modeling to determine optimal sampling times and to interpret biological exposure markers: The example of occupational exposure to styrene. Toxicol Lett 2012;213(2):299–304. – reference: (27) Wild CP. Complementing the genome with an “exposome”: The outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev 2005;14(8):1847–1850. – reference: (5) Murata K, Iwata T, Dakeishi M, Karita K. Lead toxicity: Does the critical level of lead resulting in adverse effects differ between adults and children? J Occup Health 2009;51(1):1–12. – reference: (12) 小林弥生，岩井美幸，磯部友彦，小栗朋子，中山祥嗣．大規模出生コホート調査における質量分析計の応用．JSBMS Letters 2017;42(1):5–15． – reference: (37) Dereumeaux C, Fillol C, Charles MA, Denys S. The French human biomonitoring program: First lessons from the perinatal component and future needs. Int J Hyg Environ Health 2017;220(2 Pt A):64–70. – reference: (24) Verner MA, Ayotte P, Muckle G, Charbonneau M, Haddad S. A physiologically based pharmacokinetic model for the assessment of infant exposure to persistent organic pollutants in epidemiologic studies. Environ Health Perspect 2009;117(3):481–487. – reference: (28) Ambatipudi S, Cuenin C, Hernandez-Vargas H, Ghantous A, Le Calvez-Kelm F, Kaaks R, et al. Tobacco smoking-associated genome-wide DNA methylation changes in the EPIC study. Epigenomics 2016;8(5):599–618. – reference: (7) Bach CC, Bech BH, Brix N, Nohr EA, Bonde JP, Henriksen TB. Perfluoroalkyl and polyfluoroalkyl substances and human fetal growth: A systematic review. Crit Rev Toxicol 2015;45(1):53–67. – reference: (13) Lachin JM. The role of measurement reliability in clinical trials. Clin Trials 2004;1(6):553–566. – reference: (35) Bello GA, Arora M, Austin C, Horton MK, Wright RO, Gennings C. Extending the distributed lag model framework to handle chemical mixtures. Environ Res 2017;156:253–264. – reference: (14) Braun JM, Kalkbrenner AE, Calafat AM, Bernert JT, Ye X, Silva MJ, et al. Variability and predictors of urinary bisphenol a concentrations during pregnancy. Environ Health Perspect 2011;119(1):131–137. – reference: (31) Andra SS, Austin C, Wright RO, Arora M. Reconstructing pre-natal and early childhood exposure to multi-class organic chemicals using teeth: Towards a retrospective temporal exposome. Environ Int 2015;83:137–145. – reference: (30) Andra SS, Austin C, Arora M. The tooth exposome in children’s health research. Curr Opin Pediatr 2016;28(2):221–227. – reference: (32) Arora M, Austin C. Teeth as a biomarker of past chemical exposure. Curr Opin Pediatr 2013;25(2):261–267. – reference: (4) Ng DK-K, Chan C-H, Soo M-T, Lee RS-Y. Low-level chronic mercury exposure in children and adolescents: Meta-analysis. Pediatr Int 2007;49(1):80–87. – reference: (16) 久田 文，鈴木弥生，吉永 淳．尿中ヨウ素排泄濃度の個人内・個人間変動．日本衛生学雑誌2011;66(4):711–716． |
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| Snippet | 「1. はじめに」環境省事業「子どもの健康と環境に関する全国調査(エコチル調査)」は, 2010年に開始された大規模出生コホート研究である. エコチル調査では, 胎児期及び小児... |
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| StartPage | 156 |
| SubjectTerms | エクスポゾーム エコチル調査 バイオモニタリング 子どもの健康と環境に関する全国調査 級内相関係数 |
| Title | エコチル調査における化学物質曝露評価 |
| URI | https://www.jstage.jst.go.jp/article/jjh/73/2/73_156/_article/-char/ja http://mol.medicalonline.jp/library/journal/download?GoodsID=ch4eisei/2018/007302/012&name=0156-0163j |
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| ispartofPNX | 日本衛生学雑誌, 2018, Vol.73(2), pp.156-163 |
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