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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 黃耀輝(Yaw-Huei Hwang) | |
dc.contributor.author | Yi-Hsuan Lin | en |
dc.contributor.author | 林怡萱 | zh_TW |
dc.date.accessioned | 2021-06-15T05:46:21Z | - |
dc.date.available | 2020-08-20 | |
dc.date.copyright | 2010-09-13 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-19 | |
dc.identifier.citation | Ammann, A. A., 2007. Inductively coupled plasma mass spectrometry (ICP MS): a versatile tool. Journal of Mass Spectrometry. 42, 419-427.
Apostoli, P., Telišman, R., Sager, P. R., 2007. Reproductive and Developmenal. In: Nordberg, G. F., Fowler, G. A., Nordberg, M., Friberg, L. T. (Ed.), Handbook on the Toxicology of Metals. 3th ed., Academic Press, Inc., pp.213-249 Arbuckle, J., Wothke, W., 1999. Amos user's guide. Chicago, IL: SmallWaters. ATSDR, 2007. Toxicological Profile for Lead., Agency for Toxic Substances and Disease Registry, Atlanta, GA. ATSDR, 2008. Toxicological Profile for Manganese., Agency for Toxic Substances and Disease Registry, Altanta, GA. Axelrad, D. A., Bellinger, D. C., Ryan, L. M., Woodruff, T. J., 2007. Dose-response relationship of prenatal mercury exposure and IQ: An integrative analysis of epidemiologic data. Environmental Health Perspectives. 115, 609-615. Belles, M., Albina, M. L., Sanchez, D. J., Corbella, J., Domingo, J. L., 2002. Interactions in developmental toxicology: Effects of concurrent exposure to lead, organic mercury, and arsenic in pregnant mice. Archives of Environmental Contamination and Toxicology. 42, 93-98. Bentler, P. M., 2004. EQS structural equations program manual. Encino, CA: Multivariate Software Inc. Bhattacharya, A., Shukla, R., Dietrich, K. N., Bornschein, R. L., 2006. Effect of early lead exposure on the maturation of children's postural balance: A longitudinal study. Neurotoxicology and Teratology. 28, 376-385. Budtz-Jørgensen, E., Keiding, N., Grandjean, P., Weihe, P., 2002. Estimation of health effects of prenatal methylmercury exposure using structural equation models. Environmental Health: A Global Access Science Source. Accessed on June, 2010 at http://www.ehjournal.net/content/1/1/2 Buchet, J. P., Lison, D., Ruggeri, M., Foa, V., Elia, G., 1996. Assessment of exposure to inorganic arsenic, a human carcinogen, due to the consumption of seafood. Archives of Toxicology. 70, 773-778. Chien, L. C., Yeh, C. Y., Jiang, C. B., Hsu, C. S., Han, B. C., 2007. Estimation of acceptable mercury intake from fish in Taiwan. Chemosphere. 67, 29-35. Connors, S. L., Levitt, P., Matthews, S. G., Slotkin, T. A., Johnston, M. V., Kinney, H. C., et al., 2008. Fetal mechanisms in neurodevelopmental disorders. Pediatric Neurology. 38, 163-176. Dahly, D. L., Adair, L. S., Bollen, K. A., 2009. A structural equation model of the developmental origins of blood pressure. International Journal of Epidemiology. 38, 538-548. Daniels, J. L., Longnecker, M. P., Rowland, A. S., Golding, J., Team, A. S., 2004. Fish intake during pregnancy and early cognitive development of offspring. Epidemiology. 15, 394-402. Davidson, P. W., Myers, G. J., Weiss, B., 2004. Mercury exposure and child development outcomes. Pediatrics. 113, 1023-1029. Debes, F., Budtz-Jorgensen, E., Weihe, P., White, R. F., Grandjean, P., 2006. Impact of prenatal methylmercury exposure on neurobehavioral function at age 14 years. Neurotoxicology and Teratology. 28, 363-375. Grandjean, P., Landrigan, P. J., 2006. Developmental neurotoxicity of industrial chemicals. Lancet. 368, 2167-2178. Hamadani, J. D., Grantham-McGregor, S. M., Tofail, F., Nermell, B., Fängström, B., Huda, S. N., Pre- and postnatal arsenic exposure and child development at 18 months of age: a cohort study in rural Bangladesh. International Journal of Epidemiology. 1, 1-11 Heinrich-Ramm, R., Mindt-Prufert, S., Szadkowski, D., 2002. Arsenic species excretion after controlled seafood consumption. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences. 778, 263-273. Hibbeln, J. R., Davis, J. M., Steer, C., Emmett, P., Rogers, I., Williams, C., et al., 2007. Maternal seafood consumption in pregnancy and neurodevelopmental outcomes in childhood (ALSPAC study): an observational cohort study. Lancet. 369, 578-585. Holmes, P., James, K. A. F., Levy, L. S., 2009. Is low-level environmental mercury exposure of concern to human health? Science of the Total Environment. 408, 171-182. Hsueh, Y. M., Hsu, M. K., Chiou, H. Y., Yang, M. H., Huang, C. C., Chen, C. J., 2002. Urinary arsenic speciation in subjects with or without restriction from seafood dietary intake. Toxicology Letters. 133, 83-91. Huang, J. Q., Hu, X., Zhang, J. R., Li, K. X., Yan, Y., Xu, X. B., 2006. The application of inductively coupled plasma mass spectrometry in pharmaceutical and biomedical analysis. Journal of Pharmaceutical and Biomedical Analysis. 40, 227-234. Ishitobi, H., Stern, S., Thurston, S. W., Zareba, G., Langdon, M., Gelein, R., et al., 2010. Organic and Inorganic Mercury in Neonatal Rat Brain after Prenatal Exposure to Methylmercury and Mercury Vapor. Environmental Health Perspectives. 118, 242-248. Jedrychowski, W., Jankowski, J., Flak, E., Skarupa, A., Mroz, E., Sochacka-Tatara, E., et al., 2006. Effects of prenatal exposure to mercury on cognitive and psychomotor function in one-year-old infants: Epidemiologic cohort study in Poland. Annals of Epidemiology. 16, 439-447. Kim, Y., Kim, B. N., Hong, Y. C., Shin, M. S., Yoo, H. J., Kim, J. W., et al., 2009. Co-exposure to environmental lead and manganese affects the intelligence of school-aged children. NeuroToxicology. 30, 564-571. Lin, Y. Y., Hwang, Y. H., Guo, Y. L., 2010. Cord Blood Manganese Level Was Related to Ambient NO2 Concentration during Pregnancy, an indicator for Traffic Emission. Thesis, National Taiwan University. Lung, F. W., Shu, B. C., Chiang, T. L., Lin, S. J., 2009. Parental mental health, education, age at childbirth and child development from six to 18 months. Acta Paediatrica. 98, 834-841. Myers, G. J., Davidson, P. W., 2000. Does methylmercury have a role in causing developmental disabilities in children? Environmental Health Perspectives. 108, 413-420. National Research Council. 2001. Arsenic in Drinking Water 2001 Update. (Free Executive Summary) Washington, DC: National Academy Press. Assessed on June, 2010 at http://www.nap.edu/catalog/10194.html Oken, E., Radesky, J. S., Wright, R. O., Bellinger, D. C., Amarasiriwardena, C. J., Kleinman, K. P., et al., 2008. Maternal fish intake during pregnancy, blood mercury levels, and child cognition at age 3 years in a US cohort. American Journal of Epidemiology. 167, 1171-1181. Palkovicova, L., Ursinyova, M., Masanova, V., Yu, Z. W., Hertz-Picciotto, I., 2008. Maternal amalgam dental fillings as the source of mercury exposure in developing fetus and newborn. Journal of Exposure Science and Environmental Epidemiology. 18, 326-331. Patriarca, M., Menditto, A., Rossi, B., Lyon, T. D. B., Fell, G. S., 2000. Environmental exposure to metals of newborns, infants and young children. Microchemical Journal. 67, 351-361. Plusquellec, P., Muckle, G., Dewailly, E., Ayotte, P., Jacobson, S., Jacobson, J., 2007. The relation of low-level prenatal lead exposure to behavioral indicators of attention in Inuit infants in Arctic Quebec. Neurotoxicology and Teratology. 29, 527-537. Rahman, A., Vahter, M., Smith, A. H., Nermell, B., Yunus, M., El Arifeen, S., et al., 2009a. Arsenic Exposure During Pregnancy and Size at Birth: A Prospective Cohort Study in Bangladesh. American Journal of Epidemiology. 169, 304-312. Rahman, M. M., Ng, J. C., Naidu, R., 2009b. Chronic exposure of arsenic via drinking water and its adverse health impacts on humans. Environmental Geochemistry and Health. 31, 189-200. Raykov, T., Marcoulides, G. A., 2006. Fundamentals od Structural Equation Modeling. In :Raykov, T., Marcoulides, G. A., A First Course in Structural Equation Model. 2nd ed., Lawrence Erlbaum Associates, pp.1-55 Rice, D. C., 2005. Assessing the effects of environmental toxicant exposure in developmental epidemiological studies: Issues for risk assessment. NeuroToxicology. 26, 483-489. Rodriguez, V. M., Carrizales, L., Mendoza, M. S., Fajardo, O. R., Giordano, M., 2002. Effects of sodium arsenite exposure on development and behavior in the rat. Neurotoxicology and Teratology. 24, 743-750. Rosado, J. L., Ronquillo, D., Kordas, K., Rojas, O., Alatorre, J., Lopez, P., et al., 2007. Arsenic exposure and cognitive performance in Mexican schoolchildren. Environmental Health Perspectives. 115, 1371-1375. Ruchkin, V., Gilliam, W. S., Mayes, L., 2008. Developmental pathway modeling in considering behavior problems in young Russian children. Child Psychiatry Hum Dev. 39, 49-66. Rudge, C. V., Rollin, H. B., Nogueira, C. M., Thomassen, Y., Rudge, M. C., Odland, J. O., 2009. The placenta as a barrier for toxic and essential elements in paired maternal and cord blood samples of South African delivering women. Journal of Environmental Monitoring. 11, 1322-1330. Sardans, J., Montes, F., Penuelas, J., 2009. Determination of As, Cd, Cu, Hg and Pb in biological samples by modern electrothermal atomic absorption spectrometry. Spectrochimica Acta Part B-Atomic Spectroscopy. 65, 97-112. Sirot, V., Guerin, T., Volatier, J. L., Leblanc, J. C., 2009. Dietary exposure and biomarkers of arsenic in consumers of fish and shellfish from France. Science of the Total Environment. 407, 1875-1885. Stein, J., Schettler, T., Wallinga, D., Valenti, M., 2002. In harm's way: Toxic threats to child development. Journal of Developmental and Behavioral Pediatrics. 23, S13-S22. Surkan, P. J., Zhang, A., Trachtenberg, F., Daniel, D. B., McKinlay, S., Bellinger, D. C., 2007. Neuropsychological function in children with blood lead levels < 10 mu g/dL. NeuroToxicology. 28, 1170-1177. Takser, L., Lafond, J., Bouchard, M., St-Amour, G., Mergler, D., 2004. Manganese levels during pregnancy and at birth: relation to environmental factors and smoking in a Southwest Quebec population. Environmental Research. 95, 119-125. Tofail, F., Vahter, M., Hamadani, J. D., Nermell, B., Huda, S. N., Yunus, M., et al., 2009. Effect of Arsenic Exposure during Pregnancy on Infant Development at 7 Months in Rural Matlab, Bangladesh. Environmental Health Perspectives. 117, 288-293. US Environmental Protection Agency. What you need to know about mercury in fish and shellfish 2004 EPA and FDA advice for: women who might become pregnant women who are pregnant nursing mothers young children., 2004. Washington, DC, Report number EPA-823-R-04-005 accessed on June 2010 at http://www.cfsan.fda.gov/~dms/admehg3.html Vahter, M., 2009. Effects of Arsenic on Maternal and Fetal Health. Annual Review of Nutrition. 29, 381-399. Vahter, M., et al., 2000. Longitudinal study of methylmercury and inorganic mercury in blood and urine of pregnant and lactating women, as well as in umbilical cord blood. Environmental Research. 84, 186-194. Vigeh, M., Yokoyama, K., Ramezanzadeh, F., Dahaghin, M., Fakhriazad, E., Seyedaghamiri, Z., et al., 2008. Blood manganese concentrations and intrauterine growth restriction. Reproductive Toxicology. 25, 219-223. Wang, A., Holladay, S. D., Wolf, D. C., Ahmed, S. A., Robertson, J. L., 2006. Reproductive and developmental toxicity of arsenic in rodents: A review. International Journal of Toxicology. 25, 319-331. Wang, T.M., Su, C.W., Liao, H.F., Lin, L.Y., Chou, K.S., Lin, S.H., 1998 The standardization of the comprehensive developmental inventory for infants and toddlers. Psychol Test, 45,19–46 Wasserman, G. A., Liu, X. H., Parvez, F., Ahsan, H., Factor-Litvak, P., Kline, J., et al., 2007. Water arsenic exposure and intellectual function in 6-year-old children in Araihazar, Bangladesh. Environmental Health Perspectives. 115, 285-289. Wigg, N. R., 2001. Low-level lead exposure and children. Journal of Paediatrics and Child Health. 37, 423-425. Wigle, D. T., Arbuckle, T. E., Turner, M. C., Berube, A., Yang, Q. Y., Liu, S. L., et al., 2008. Epidemiologic evidence of relationships between reproductive and child health outcomes and environmental chemical contaminants. Journal of Toxicology and Environmental Health-Part B-Critical Reviews. 11, 373-517. Wind, M., Lehmann, W. D., 2004. Element and molecular mass spectrometry - an emerging analytical dream team in the life sciences. Journal of Analytical Atomic Spectrometry. 19, 20-25. Wood, R. J., 2009. Manganese and birth outcome. Nutrition Reviews. 67, 416-420. Yang, C. Y., Chuang, H. Y., Ho, C. K., Wu, T. N., Wu, M. T. F., 2003. Arsenic in drinking water and adverse pregnancy outcome in an arseniasis-endemic area in Northeastern Taiwan. Epidemiology. 14, S127-S127. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47058 | - |
dc.description.abstract | 背景與目的:胎兒、嬰幼兒和幼童是環境毒性化學物質暴露中最受到關注的易感受族群,因為這樣的暴露可能導致其神經行為發展出現問題。過去長久以來,針對個別金屬暴露後健康效應的研究已有廣泛的討論,但尚未有研究著重於多種重金屬的共同暴露影響。為釐清不同金屬對健康效應的表現,本篇研究利用結構方程模型評估出生前金屬暴露對嬰幼兒的出生狀態及後續神經行為發展之影響。
材料與方法: 研究對象選取自2004年4月至2005年1月間收案的台灣出生世代先驅研究,共計106名孕婦及其新生兒被納入本研究。母親血液和新生兒臍帶血液中的金屬濃度作為反映出生前暴露的指標。以嬰幼兒綜合發展測驗 (The Comprehensive Developmental Inventory for Infants and Toddlers)評估孩童兩歲大時之神經行為發展。 結果:母親血液中的總砷和總汞濃度分別為6.7 ± 2.0 ( ug/L ) and 4.6 ± 1.7 ( ug/L ),臍帶血中的總砷和總汞濃度則為13.9 ± 1.8 ( ug/L ) and 4.5 ± 1.6 ( ug/L )。結構方程模式顯示,其模型適配度卡方值為 38.12 (p值=0.12),CFI=0.95,RMSEA=0.06。血液中的砷及汞濃度和出生狀態及神經行為發展有關。模型中的出生狀態也可被推定為出生前金屬暴露影響神經行為發展的中介因子。 結論: 比較不同的途徑後,本篇研究指出出生前的砷暴露對出生狀態和之後的神行為發展相較於汞暴露有較強的表現。懷孕期間海鮮的攝取被認為是常見的砷和汞的來源之一,對其同時所帶來的營養價值和潛在危害的綜合影響仍需後續的研究繼續探討。 | zh_TW |
dc.description.abstract | Background and objectives: Fetuses, infants, and young children are the most susceptible to some of environmental toxicological chemicals which can potentially affect their neurodevelopment. The effects of single metal exposure have been widely discussed for a long time, but few studies described joint exposure of heavy metals. To evaluate the roles of various affecting metals, a structural equation model was applied to estimate the effect from prenatal metal exposure on birth outcomes and the following neurodevelopment.
Methods: A prospective cohort study was conducted from April 2004 to January 2005 in Taiwan and a total of 106 delivering women and their newborns were enrolled in this study. Metal concentrations in maternal and umbilical cord blood samples were obtained to reflect prenatal metal exposure while birth outcomes were observed after delivery. The Comprehensive Developmental Inventory for Infants and Toddlers (CDIIT) was used for assessing toddler’s neurodevelopment at 2 years of age. Results: Concentration of total arsenic and total mercury were 6.7 ± 2.0 ug/L and 4.6 ± 1.7 ug/L in maternal blood samples and 13.9 ± 1.8 ug/L and 4.5 ± 1.6 ug/L in umbilical blood samples. Results of structural equation model indicated that prenatal arsenic and mercury exposure were inversely associated with birth outcomes (coefficients -0.28 (p=0.05), -0.06 (p=0.05)) and neurodevelopment with model χ2 value of 38.12 (p=0.12), CFI of 0.95 and RMSEA of 0.06 for goodness of fit. This model also indicated that fetal birth outcome could be a mediated factor for prenatal metal exposure to predict following neurodevelopment. Conclusions: By comparing different exposure pathways, this study suggested prenatal arsenic exposure might play a stronger role, as compared to mercury, affecting the birth outcomes and the following neurodevelopment. Seafood intake during pregnancy was thought as one of the exposure sources for arsenic and mercury exposure, therefore, further study to simultaneously explore to the nutritional benefits of seafood as well as the potential harms should be concerned. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T05:46:21Z (GMT). No. of bitstreams: 1 ntu-99-R97841016-1.pdf: 371968 bytes, checksum: aba8a8f321d29f60e9162420e2b4d9cb (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 致謝 ii
Contents iv Table contents v Figure contents vi Abstract vii 摘要 ix Chapter 1 Introduction 1 1.1 Background 1 1.2 Study objective 3 Chapter 2 Literature review 4 2.1 Metal with neurodevelopment 4 2.1.1 Arsenic 6 2.1.2 Mercury 8 2.1.3 Lead 9 2.1.4 Manganese 10 2.2 Inductively coupled plasma mass spectrometry (ICP-MS) 11 2.3 Structural equation model 11 Chapter 3 Materials and Methods 14 3.1 Study participants 14 3.2 Data Collection 15 3.3 The observation for measurement of the environment (HOME) 15 3.3 Metal analysis in blood sample 15 3.4 Toddler’s neurodevelopment measurement 16 3.5 Statistical analysis 17 3.5.1 Structural equation model 19 Chapter 4 Results 21 4.1 Demographic data 21 4.2 Metal concentrations in blood samples 21 4.3 Exploratory factor analysis of the metals 21 4.4 Correlation matrix 22 4.5 Structural equation model 23 Chapter 5 Discussion 25 Chapter 6 References 33 Table contents Table 1. Characteristics of the study participants 43 Table 2. Metal concentrations in maternal and cord blood samples (ug/L) 44 Table 3. Exploratory factor analysis of the concentrations of eight 45 Table 4. Correlation matrix of variables used in the theoretical structural equation model 46 Figure contents Figure 1. Flow chart of study subject recruitment. 48 Figure 2. Initial theoretical structural equation model of prenatal metal exposure on the neurodevelopment 49 Figure3. Reduced Structural equation model of prenatal As and Hg exposure on the neurodevelopment 50 | |
dc.language.iso | en | |
dc.title | 以結構方程模式評估出生前金屬暴露對嬰幼兒神經行為發展之影響 | zh_TW |
dc.title | Using Structural Equation Model to Explore the Effects of Prenatal Metal Exposure on Toddler Neurodevelopment | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳保中(Pau-Chung Chen),廖華芳(Hua-Fang Liao),李永凌(Yung-ling Lee),陳美蓮(Mei-Lien Chen) | |
dc.subject.keyword | 結構方程模型,砷,汞,神經行為發展,新生兒,懷孕, | zh_TW |
dc.subject.keyword | structural equation model (SEM),arsenic,mercury,neurodevelopment,newborn,pregnancy, | en |
dc.relation.page | 50 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-08-19 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 職業醫學與工業衛生研究所 | zh_TW |
顯示於系所單位: | 職業醫學與工業衛生研究所 |
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