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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 陳保中(Pau-Chung Chen) | |
dc.contributor.author | Pei-Yu Rao | en |
dc.contributor.author | 饒珮伃 | zh_TW |
dc.date.accessioned | 2021-06-15T12:27:28Z | - |
dc.date.available | 2021-08-26 | |
dc.date.copyright | 2016-08-26 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-09 | |
dc.identifier.citation | 1. Abdi H. 2010. Partial least squares regression and projection on latent structure regression (pls regression). WIREs Computational Statistics.
2. Abdi H, Williams LJ. 2010. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics 2:433-459. 3. Arbuckle TE, Davis K, Boylan K, Fisher M, Fu J. 2016. Bisphenol a, phthalates and lead and learning and behavioral problems in canadian children 6-11 years of age: Chms 2007-2009. Neurotoxicology 54:89-98. 4. Arnold LE, DiSilvestro RA. 2005. Zinc in attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol 15:619-627. 5. Braun JM, Kahn RS, Froehlich T, Auinger P, Lanphear BP. 2006. Exposures to environmental toxicants and attention deficit hyperactivity disorder in u.S. Children. Environ Health Perspect 114:1904-1909. 6. Bro R, Smilde AK. 2014. Principal component analysis. Analytical Methods 6:2812. 7. Chopra V, Harley K, Lahiff M, Eskenazi B. 2014. Association between phthalates and attention deficit disorder and learning disability in u.S. Children, 6-15 years. Environ Res 128:64-69. 8. Froehlich TE, Anixt JS, Loe IM, Chirdkiatgumchai V, Kuan L, Gilman RC. 2011. Update on environmental risk factors for attention-deficit/hyperactivity disorder. Curr Psychiatry Rep 13:333-344. 9. Garrett-Mayer E. Statistics in psychosocial research lecture 8 factor analysis i. 10. Gau SS, Shang CY, Liu SK, Lin CH, Swanson JM, Liu YC, et al. 2008. Psychometric properties of the chinese version of the swanson, nolan, and pelham, version iv scale - parent form. Int J Methods Psychiatr Res 17:35-44. 11. Golub MS, Takeuchi PT, Keen CL, Hendrickx AG, Gershwin ME. 1996. Activity and attention in zinc-deprived adolescent monkeys. Am J Clin Nutr 64:908-915. 12. Hastie HZaT. 2005. Regularization and variable selection via the elastic net. Royal Statistical Society 67:PP. 301–320. 13. Hsieh CJ, Liao HF, Wu KY, Hsieh WS, Su YN, Jeng SF, et al. 2008. Cyp1a1 ile462val and gstt1 modify the effect of cord blood cotinine on neurodevelopment at 2 years of age. Neurotoxicology 29:839-845. 14. Hsieh CJ, Hsieh WS, Su YN, Liao HF, Jeng SF, Taso FM, et al. 2011. The taiwan birth panel study: A prospective cohort study for environmentally- related child health. BMC Res Notes 4:291. 15. Kim S, Arora M, Fernandez C, Landero J, Caruso J, Chen A. 2013. Lead, mercury, and cadmium exposure and attention deficit hyperactivity disorder in children. Environ Res 126:105-110. 16. Kobrosly RW, Evans S, Miodovnik A, Barrett ES, Thurston SW, Calafat AM, et al. 2014. Prenatal phthalate exposures and neurobehavioral development scores in boys and girls at 6-10 years of age. Environ Health Perspect 122:521-528. 17. Lien GW, Wen TW, Hsieh WS, Wu KY, Chen CY, Chen PC. 2011. Analysis of perfluorinated chemicals in umbilical cord blood by ultra-high performance liquid chromatography/tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 879:641-646. 18. Patricia A. Berglund AA. 2010. An introduction to multiple imputation of complex sample data using sas®. 19. Toren P, Eldar S, Sela BA, Wolmer L, Weitz R, Inbar D, et al. 1996. Zinc deficiency in attention-deficit hyperactivity disorder. Biol Psychiatry 40:1308-1310. 20. Tsai FJ, Liu ST, Lee CM, Lee WT, Fan PC, Lin WS, et al. 2013. Adhd-related symptoms, emotional/behavioral problems, and physical conditions in taiwanese children with epilepsy. J Formos Med Assoc 112:396-405. 21. Vela G, Stark P, Socha M, Sauer AK, Hagmeyer S, Grabrucker AM. 2015. Zinc in gut-brain interaction in autism and neurological disorders. Neural Plast 2015:972791. 22. Won EK, Kim Y, Ha M, Burm E, Kim YS, Lim H, et al. 2016. Association of current phthalate exposure with neurobehavioral development in a national sample. Int J Hyg Environ Health. 23. Yang Y, Jing XP, Zhang SP, Gu RX, Tang FX, Wang XL, et al. 2013. High dose zinc supplementation induces hippocampal zinc deficiency and memory impairment with inhibition of bdnf signaling. PLoS One 8:e55384. 24. Yuan Y. 2011. Multiple imputation using sas software. Journal of Statistical Software Volume 45:25. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49997 | - |
dc.description.abstract | 背景
過去探討產前暴露對兒童注意力過動或缺陷症狀的關係主要針對單一暴露,雖近日多增加產前多重暴露對嬰幼兒出生體重或兒童肥胖的研究,然尚未有針對產前多重暴露與七歲兒童注意力過動或缺陷症狀的研究。 研究目的 本研究比較不同統計方法於產前多重暴露與七歲兒童缺乏注意力的相關性。 研究方法 從 2004 年到2005 年臺灣出生世代研究共收集486 名懷孕女性,測量臍帶血中18 種重金屬、9 種塑化劑代謝物、雙酚A 與全氟碳化物等。追蹤至七歲共有192名完成兒童注意力過動或缺陷症狀評估問卷,大於80 百分位則被視為有嚴重注意力過動或缺陷症狀,使用不同統計方法因素分析(Factor Analysis, FA)、主成分分析(Principal Component Analysis, PCA)、偏最小平方法(Partial Least Squares , PLS) 與彈性淨回歸法(Elastic Net regression, EN),線性回歸模式得出估計值。 結果 利用偏最小平方法 (Partial Least Squares, PLS) 與彈性淨回歸法(Elastic Net regression, EN) 兩者方法所挑選與注意力行為有關相同的變數為:MEHP、Zn、PFUA;挑選不同的變數為:Cotinine, PFNA, NP。利用因素分析(Factor Analysis, FA) 與主成分分析(Principal Component Analysis, PCA) 兩者方法產生類似結果,主要在塑化劑與全氟碳化物與注意力行為顯著負相關。 結論 偏最小平方法 (Partial Least Squares , PLS) 能同時考慮變數間與結果的共變異;而彈性淨回歸法(Elastic Net regression, EN) 則能在線性模式同時解決變數間的高度相關性,因此依研究設計與目的,選擇合適適配模型。 | zh_TW |
dc.description.abstract | Background: Previously, many studies focus on postnatal exposure to single chemical has association with attention deficit/hyperactivity symptoms (ADHD) in children. However, few of them studies prenatal environmental exposure may induce ADHD in 7 year-old children.
Objective: To evaluate the association between prenatal multiple exposure and child attention deficit/hyperactivity symptoms at 7 years of age, we compared different statistical methods. Methods: 486 pregnant women were enrolled in a Taiwan Birth Panel Study (TBPS) cohort study between 2004 and 2005. We measured the concentrations of nine phthalate metabolites, bisphenol A, eighteen heavy metals including manganese, arsenic, and lead, cotinine in cord blood. Among 192 offspring at 7 years, attention deficit/hyperactivity symptoms were accessed based on parental reported, Chinese version of Swanson, Nolan, and Pelham (SNAP-IV). We used different statistical methods, including factor analysis, principal component analysis (PCA), partial least squares (PLS), and Elastic Net regression (EN) to fit models. Furthermore, inattention symptom was defined as score over 80 percentile. Results: There same variables (MEHP, Zn, PFUA) were selected by EN and PLS, but there were also three different variables (Cotinine, PFNA, NP). Both phthalate and PFASs were showed negative association with inattention symptom by FA and PCA. Conclusions: PLS takes maximum covariance between original variables (X’s) and outcome into consideration, on the other hand, EN selects few important variable to represent original variables. In our study, comparison dimension reduction methods between PLS and EN showed that EN had a better prediction base on char. Nevertheless, there is no guarantee that EN generated a better result. Still, it relies on study design and purpose to select a fit model. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T12:27:28Z (GMT). No. of bitstreams: 1 ntu-105-R03841015-1.pdf: 1149550 bytes, checksum: 4d42388fcefd0d0bec9a6b4afbf7ba8a (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 致謝 i
中文摘要 ii Abstract iv I. Introduction 1 II. Methods 4 III. Results 12 IV. Discussion 15 V. Conclusion 19 VI. References 20 Supplemental Material 38 | |
dc.language.iso | en | |
dc.title | 產前多重暴露與七歲兒童過動行為之相關性 – 各種統計分析方法比較 | zh_TW |
dc.title | Prenatal Multiple Exposure and Attention Deficit/
Hyperactivity Symptoms in Children at 7 Years of Age – Comparison of Statistical Methods | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 劉貞佑(Chen-Yu Liu) | |
dc.contributor.oralexamcommittee | 陳美蓮(Mei-Lien Chen),簡伶朱(Ling-Chu Chien),陳美惠(Mei-Hue Chen) | |
dc.subject.keyword | 多重暴露,兒童,因素分析,主成分分析,偏最小平方法,彈性淨回歸法(Elastic Net regression, EN),注意力過動或缺陷症狀, | zh_TW |
dc.subject.keyword | Attention Deficit/Hyperactivity Symptoms,Multiple Exposure,Children,Factor Analysis,Principal Component Analysis (PCA),Partial Least Squares (PLS),Elastic Net Regression (EN), | en |
dc.relation.page | 61 | |
dc.identifier.doi | 10.6342/NTU201602111 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-08-09 | |
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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