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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 李文宗 | |
dc.contributor.author | Yi-Chu Chen | en |
dc.contributor.author | 陳薏竹 | zh_TW |
dc.date.accessioned | 2021-07-10T21:49:37Z | - |
dc.date.available | 2021-07-10T21:49:37Z | - |
dc.date.copyright | 2019-08-28 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-19 | |
dc.identifier.citation | 1. Torre, L., et al., Global cancer statistics, 2012 CA: A Cancer Journal for Clinicians 2015; 65: 87-108. External Resources Pubmed/Medline (NLM) Crossref (DOI). 2. Lin, C.H., et al., The emerging epidemic of estrogen‐related cancers in young women in a developing Asian country. International journal of cancer, 2012. 130(11): p. 2629-2637. 3. Shen, Y.-C., et al., Significant difference in the trends of female breast cancer incidence between Taiwanese and Caucasian Americans: implications from age-period-cohort analysis. Cancer Epidemiology and Prevention Biomarkers, 2005. 14(8): p. 1986-1990. 4. Wong, I.O., et al., Age‐period‐cohort projections of breast cancer incidence in a rapidly transitioning Chinese population. International journal of cancer, 2007. 121(7): p. 1556-1563. 5. Chia, K.S., et al., Profound changes in breast cancer incidence may reflect changes into a Westernized lifestyle: A comparative population‐based study in Singapore and Sweden. International Journal of Cancer, 2005. 113(2): p. 302-306. 6. Sung, H., et al., The impact of breast cancer‐specific birth cohort effects among younger and older C hinese populations. International journal of cancer, 2016. 139(3): p. 527-534. 7. Sung, H., et al., Female breast cancer incidence among Asian and Western populations: more similar than expected. Journal of the National Cancer Institute, 2015. 107(7): p. djv107. 8. Chiang, C.-J., et al., Quality assessment and improvement of nationwide cancer registration system in Taiwan: a review. Japanese journal of clinical oncology, 2015. 45(3): p. 291-296. 9. Chiang, C.J., Y.W. Wang, and W.C. Lee, Taiwan's Nationwide Cancer Registry System of 40 years: Past, present, and future. J Formos Med Assoc, 2019. 118(5): p. 856-858. 10. Lu, T.-H., M.-C. Lee, and M.-C. Chou, Accuracy of cause-of-death coding in Taiwan: types of miscoding and effects on mortality statistics. International journal of epidemiology, 2000. 29(2): p. 336-343. 11. Hamilton, A.S., A.H. Wu, and D.O. Stram, Resources and Methods for Studying Cancer Among Asian Americans, in Cancer Epidemiology Among Asian Americans, A.H. Wu and D.O. Stram, Editors. 2016, Springer International Publishing: Cham. p. 1-17. 12. Lakhani, S., et al., WHO classification of tumours of the breast, 4th edn. Geneva: International Agency for Research on Cancer. 4 ed. 2012: World Health Organization. 13. Stewart, B. and C.P. Wild, World cancer report 2014. 2014. 14. Forouzanfar, M.H., et al., Breast and cervical cancer in 187 countries between 1980 and 2010: a systematic analysis. The lancet, 2011. 378(9801): p. 1461-1484. 15. Porter, P., 'Westernizing' women's risks? Breast cancer in lower-income countries. N Engl J Med, 2008. 358(3): p. 213-6. 16. Parise, C. and V. Caggiano, Disparities in the risk of the ER/PR/HER2 breast cancer subtypes among Asian Americans in California. Cancer epidemiology, 2014. 38(5): p. 556-562. 17. Yi, M., et al., Comparative analysis of clinicopathologic features, treatment, and survival of Asian women with a breast cancer diagnosis residing in the United States. Cancer, 2012. 118(17): p. 4117-25. 18. Leong, S.P., et al., Is breast cancer the same disease in Asian and Western countries? World journal of surgery, 2010. 34(10): p. 2308-2324. 19. Kim, H. and D.H. Choi, Distribution of BRCA1 and BRCA2 mutations in Asian patients with breast cancer. Journal of breast cancer, 2013. 16(4): p. 357-365. 20. Porter, P., “Westernizing” women's risks? Breast cancer in lower-income countries. New England Journal of Medicine, 2008. 358(3): p. 213-216. 21. Perou, C.M., et al., Molecular portraits of human breast tumours. Nature, 2000. 406(6797): p. 747-52. 22. Key, T.J., P.K. Verkasalo, and E. Banks, Epidemiology of breast cancer. Lancet Oncol, 2001. 2(3): p. 133-40. 23. Key, T.J., P.K. Verkasalo, and E. Banks, Epidemiology of breast cancer. The lancet oncology, 2001. 2(3): p. 133-140. 24. Pharoah, P.D., et al., Family history and the risk of breast cancer: a systematic review and meta-analysis. Int J Cancer, 1997. 71(5): p. 800-9. 25. Wu, A.H., et al., Body size, hormone therapy and risk of breast cancer in Asian-American women. Int J Cancer, 2007. 120(4): p. 844-52. 26. Nomura, A., et al., Breast cancer in Caucasian and Japanese women in Hawaii. National Cancer Institute Monograph, 1985. 69: p. 191-196. 27. Hirohata, T., et al., An epidemiologic study on the association between diet and breast cancer. J Natl Cancer Inst, 1987. 78(4): p. 595-600. 28. White, K.K., et al., Body size and breast cancer risk: the Multiethnic Cohort. Int J Cancer, 2012. 131(5): p. E705-16. 29. Iwasaki, M., et al., Role and impact of menstrual and reproductive factors on breast cancer risk in Japan. Eur J Cancer Prev, 2007. 16(2): p. 116-23. 30. Kawai, M., et al., Reproductive factors, exogenous female hormone use and breast cancer risk in Japanese: the Miyagi Cohort Study. Cancer Causes Control, 2010. 21(1): p. 135-45. 31. Huang, Z., et al., Associations of reproductive time events and intervals with breast cancer risk: a report from the Shanghai Breast Cancer Study. Int J Cancer, 2014. 135(1): p. 186-95. 32. Lee, C.P., et al., Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population. Breast Cancer Res, 2014. 16(3): p. R64. 33. Kurian, A.W., BRCA1 and BRCA2 mutations across race and ethnicity: distribution and clinical implications. Curr Opin Obstet Gynecol, 2010. 22(1): p. 72-8. 34. Kurian, A.W., et al., Performance of BRCA1/2 mutation prediction models in Asian Americans. J Clin Oncol, 2008. 26(29): p. 4752-8. 35. Kwong, A., et al., Comprehensive spectrum of BRCA1 and BRCA2 deleterious mutations in breast cancer in Asian countries. J Med Genet, 2016. 53(1): p. 15-23. 36. Ghoussaini, M., P.D.P. Pharoah, and D.F. Easton, Inherited genetic susceptibility to breast cancer: the beginning of the end or the end of the beginning? Am J Pathol, 2013. 183(4): p. 1038-1051. 37. Michailidou, K., et al., Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet, 2013. 45(4): p. 353-61, 361e1-2. 38. Michailidou, K., et al., Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat Genet, 2015. 47(4): p. 373-80. 39. Russo, J., et al., The protective role of pregnancy in breast cancer. Breast cancer research, 2005. 7(3): p. 131. 40. Bruzzi, P., et al., Short term increase in risk of breast cancer after full term pregnancy. Bmj, 1988. 297(6656): p. 1096-1098. 41. Albrektsen, G., et al., Breast cancer risk by age at birth, time since birth and time intervals between births: exploring interaction effects. British journal of cancer, 2005. 92(1): p. 167. 42. Lord, S.J., et al., Breast cancer risk and hormone receptor status in older women by parity, age of first birth, and breastfeeding: a case-control study. Cancer Epidemiology and Prevention Biomarkers, 2008. 17(7): p. 1723-1730. 43. Ma, H., et al., Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status: a meta-analysis of epidemiological studies. Breast Cancer Research, 2006. 8(4): p. R43. 44. Henderson, B.E., M.C. Pike, and J.T. Casagrande, Breast cancer and the oestrogen window hypothesis. Lancet, 1981. 2(8242): p. 363-4. 45. Menarche, menopause, and breast cancer risk: individual participant meta-analysis, including 118 964 women with breast cancer from 117 epidemiological studies. Lancet Oncol, 2012. 13(11): p. 1141-51. 46. Wu, A.H., et al., Menstrual and reproductive factors and risk of breast cancer in Asian-Americans. Br J Cancer, 1996. 73(5): p. 680-6. 47. Ursin, G., et al., Reproductive factors and risk of breast carcinoma in a study of white and African-American women. Cancer, 2004. 101(2): p. 353-62. 48. Wyshak, G. and R.E. Frisch, Evidence for a secular trend in age of menarche. New England Journal of Medicine, 1982. 306(17): p. 1033-1035. 49. Kaplowitz, P.B., Link between body fat and the timing of puberty. Pediatrics, 2008. 121(3): p. S208. 50. Keizer‐Schrama, S.d.M. and D. Mul, Trends in pubertal development in Europe. Apmis, 2001. 109(S103): p. S164-S170. 51. Hosokawa, M., et al., Secular trends in age at menarche and time to establish regular menstrual cycling in Japanese women born between 1930 and 1985. BMC Womens Health, 2012. 12: p. 19. 52. Cho, G.J., et al., Age at menarche in a Korean population: secular trends and influencing factors. Eur J Pediatr, 2010. 169(1): p. 89-94. 53. Hoel, D.G., T. Wakabayashi, and M.C. Pike, Secular trends in the distributions of the breast cancer risk factors--menarche, first birth, menopause, and weight--in Hiroshima and Nagasaki, Japan. Am J Epidemiol, 1983. 118(1): p. 78-89. 54. Linos, E., et al., Effects of reproductive and demographic changes on breast cancer incidence in China: a modeling analysis. J Natl Cancer Inst, 2008. 100(19): p. 1352-60. 55. Pike, M.C., et al., Breast cancer in a multiethnic cohort in Hawaii and Los Angeles: risk factor-adjusted incidence in Japanese equals and in Hawaiians exceeds that in whites. Cancer Epidemiol Biomarkers Prev, 2002. 11(9): p. 795-800. 56. Wu, A.H., et al., Traditional Breast Cancer Risk Factors in Filipina Americans Compared with Chinese and Japanese Americans in Los Angeles County. Cancer Epidemiol Biomarkers Prev, 2016. 25(12): p. 1572-1586. 57. Chen, M.J., et al., Body mass index and breast cancer: analysis of a nation-wide population-based prospective cohort study on 1 393 985 Taiwanese women. Int J Obes (Lond), 2016. 40(3): p. 524-30. 58. Victora, C.G., et al., Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet, 2016. 387(10017): p. 475-90. 59. Breast cancer and breastfeeding: collaborative reanalysis of individual data from 47 epidemiological studies in 30 countries, including 50302 women with breast cancer and 96973 women without the disease. Lancet, 2002. 360(9328): p. 187-95. 60. Tao, S.C., et al., Risk factors for breast cancer in Chinese women of Beijing. Int J Cancer, 1988. 42(4): p. 495-8. 61. Yuan, J.M., et al., Risk factors for breast cancer in Chinese women in Shanghai. Cancer Res, 1988. 48(7): p. 1949-53. 62. Wang, Q.S., et al., A case-control study of breast cancer in Tianjin, China. Cancer Epidemiol Biomarkers Prev, 1992. 1(6): p. 435-9. 63. Nagata, C., et al., Breastfeeding and breast cancer risk: an evaluation based on a systematic review of epidemiologic evidence among the Japanese population. Jpn J Clin Oncol, 2012. 42(2): p. 124-30. 64. Bao, P.P., et al., Association of hormone-related characteristics and breast cancer risk by estrogen receptor/progesterone receptor status in the shanghai breast cancer study. Am J Epidemiol, 2011. 174(6): p. 661-71. 65. Maskarinec, G., et al., Trends of breast cancer incidence and risk factor prevalence over 25 years. Breast Cancer Res Treat, 2006. 98(1): p. 45-55. 66. Dratva, J., et al., Is age at menopause increasing across Europe? Results on age at menopause and determinants from two population-based studies. Menopause, 2009. 16(2): p. 385-394. 67. Rödström, K., et al., Evidence for a secular trend in menopausal age: a population study of women in Gothenburg. Menopause, 2003. 10(6): p. 538-543. 68. Nichols, H.B., et al., From menarche to menopause: trends among US Women born from 1912 to 1969. American journal of epidemiology, 2006. 164(10): p. 1003-1011. 69. Gold, E.B., et al., Factors related to age at natural menopause: longitudinal analyses from SWAN. Am J Epidemiol, 2013. 178(1): p. 70-83. 70. Alkema, L., et al., National, regional, and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis. The Lancet, 2013. 381(9878): p. 1642-1652. 71. Ursin, G., et al., Breast cancer and oral contraceptive use in Asian-American women. Am J Epidemiol, 1999. 150(6): p. 561-7. 72. Ichida, M., et al., No increase in breast cancer risk in Japanese women taking oral contraceptives: a case-control study investigating reproductive, menstrual and familial risk factors for breast cancer. Asian Pac J Cancer Prev, 2015. 16(9): p. 3685-90. 73. Xu, W.H., et al., Relation of FGFR2 genetic polymorphisms to the association between oral contraceptive use and the risk of breast cancer in Chinese women. Am J Epidemiol, 2011. 173(8): p. 923-31. 74. de Visser, S.J., et al., Pharmacokinetic differences between Caucasian and Japanese subjects after single and multiple doses of a potential combined oral contraceptive (Org 30659 and EE). Contraception, 2003. 68(3): p. 195-202. 75. Blode, H., et al., Pharmacokinetics of drospirenone and ethinylestradiol in Caucasian and Japanese women. Eur J Contracept Reprod Health Care, 2012. 17(4): p. 284-97. 76. Lee, S., et al., Postmenopausal hormone therapy and breast cancer risk: the Multiethnic Cohort. Int J Cancer, 2006. 118(5): p. 1285-91. 77. Key, T.J., et al., Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women. J Natl Cancer Inst, 2003. 95(16): p. 1218-26. 78. van den Brandt, P.A., et al., Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol, 2000. 152(6): p. 514-27. 79. Amadou, A., et al., Overweight, obesity and risk of premenopausal breast cancer according to ethnicity: a systematic review and dose-response meta-analysis. Obes Rev, 2013. 14(8): p. 665-78. 80. Ziegler, R.G., et al., Relative weight, weight change, height, and breast cancer risk in Asian-American women. J Natl Cancer Inst, 1996. 88(10): p. 650-60. 81. Amadou, A., P. Hainaut, and I. Romieu, Role of obesity in the risk of breast cancer: lessons from anthropometry. J Oncol, 2013. 2013: p. 906495. 82. Renehan, A.G., et al., Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet, 2008. 371(9612): p. 569-78. 83. Wu, Y., D. Zhang, and S. Kang, Physical activity and risk of breast cancer: a meta-analysis of prospective studies. Breast Cancer Res Treat, 2013. 137(3): p. 869-82. 84. Suzuki, S., et al., Effect of physical activity on breast cancer risk: findings of the Japan collaborative cohort study. Cancer Epidemiol Biomarkers Prev, 2008. 17(12): p. 3396-401. 85. Suzuki, R., et al., Leisure-time physical activity and breast cancer risk defined by estrogen and progesterone receptor status--the Japan Public Health Center-based Prospective Study. Prev Med, 2011. 52(3-4): p. 227-33. 86. Key, J., et al., Meta-analysis of studies of alcohol and breast cancer with consideration of the methodological issues. Cancer Causes Control, 2006. 17(6): p. 759-70. 87. Brown, L.M., et al., Low level alcohol intake, cigarette smoking and risk of breast cancer in Asian-American women. Breast Cancer Res Treat, 2010. 120(1): p. 203-10. 88. Wu, A.H., et al., Alcohol and breast cancer risk among Asian-American women in Los Angeles County. Breast Cancer Res, 2012. 14(6): p. R151. 89. Lin, Y., et al., Alcohol consumption and mortality among middle-aged and elderly Japanese men and women. Ann Epidemiol, 2005. 15(8): p. 590-7. 90. Baron, J.A., C. La Vecchia, and F. Levi, The antiestrogenic effect of cigarette smoking in women. Am J Obstet Gynecol, 1990. 162(2): p. 502-14. 91. Key, T.J., et al., Circulating sex hormones and breast cancer risk factors in postmenopausal women: reanalysis of 13 studies. Br J Cancer, 2011. 105(5): p. 709-22. 92. Setiawan, V.W., et al., Racial/ethnic differences in postmenopausal endogenous hormones: the multiethnic cohort study. Cancer Epidemiol Biomarkers Prev, 2006. 15(10): p. 1849-55. 93. National Center for Chronic Disease, P., S. Health Promotion Office on, and Health, Reports of the Surgeon General, in The Health Consequences of Smoking-50 Years of Progress: A Report of the Surgeon General. 2014, Centers for Disease Control and Prevention (US): Atlanta (GA). 94. Catsburg, C., A.B. Miller, and T.E. Rohan, Active cigarette smoking and risk of breast cancer. Int J Cancer, 2015. 136(9): p. 2204-9. 95. Dossus, L., et al., Active and passive cigarette smoking and breast cancer risk: results from the EPIC cohort. Int J Cancer, 2014. 134(8): p. 1871-88. 96. Gaudet, M.M., et al., Active smoking and breast cancer risk: original cohort data and meta-analysis. J Natl Cancer Inst, 2013. 105(8): p. 515-25. 97. Hanaoka, T., et al., Active and passive smoking and breast cancer risk in middle-aged Japanese women. Int J Cancer, 2005. 114(2): p. 317-22. 98. Nagata, C., et al., Tobacco smoking and breast cancer risk: an evaluation based on a systematic review of epidemiological evidence among the Japanese population. Jpn J Clin Oncol, 2006. 36(6): p. 387-94. 99. Lin, Y., et al., Active smoking, passive smoking, and breast cancer risk: findings from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk. J Epidemiol, 2008. 18(2): p. 77-83. 100. Ryder, N.B., The Cohort as a Concept in the Study of Social Change. S. 9-44 in: William M. Mason und Stephen E. Fienberg (Hg.), Cohort Analysis in Social Reserach. Beyond the Identification Problem. 1965, New York/Heidelberg/Toronto: Springer. 101. Yang, Y. and K.C. Land, Age-period-cohort analysis: New models, methods, and empirical applications. 2016: Chapman and Hall/CRC. 102. Yang, Y., Is old age depressing? Growth trajectories and cohort variations in late-life depression. Journal of health and social behavior, 2007. 48(1): p. 16-32. 103. Bell, A. and K. Jones, The impossibility of separating age, period and cohort effects. Soc Sci Med, 2013. 93: p. 163-5. 104. Fienberg, S.E., Cohort analysis' unholy quest: a discussion. Demography, 2013. 50(6): p. 1981-4; discussion 1985-8. 105. Te Grotenhuis, M., et al., The Intrinsic Estimator, Alternative Estimates, and Predictions of Mortality Trends: A Comment on Masters, Hummer, Powers, Beck, Lin, and Finch. Demography, 2016. 53(4): p. 1245-52. 106. Luo, L., Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography, 2013. 50(6): p. 1945-67. 107. Bell, A.J. and K. Jones, Another'futile quest'? A simulation study of Yang and Land's Hierarchical Age-Period-Cohort model. Demographic Research, 2014. 30: p. 333-360. 108. Fienberg, S.E. and W.M. Mason, Identification and estimation of age-period-cohort models in the analysis of discrete archival data. Sociological methodology, 1979. 10: p. 1-67. 109. Kupper, L.L., et al., Statistical age-period-cohort analysis: A review and critique. Journal of Chronic Diseases, 1985. 38(10): p. 811-830. 110. Osmond, C. and M. Gardner, Age, period and cohort models applied to cancer mortality rates. Statistics in Medicine, 1982. 1(3): p. 245-259. 111. Fu, W.J., Ridge estimator in singulah oesiun with application to age-period-cohort analysis of disease rates. Communications in statistics-Theory and Methods, 2000. 29(2): p. 263-278. 112. Yang, Y., W.J. Fu, and K.C. Land, A methodological comparison of age‐period‐cohort models: the intrinsic estimator and conventional generalized linear models. Sociological methodology, 2004. 34(1): p. 75-110. 113. Lee, W.C. and R.S. Lin, Modelling the Age‐Period‐Cohort Trend Surface. Biometrical journal, 1996. 38(1): p. 97-106. 114. Lee, W.C. and R.S. Lin, Autoregressive age–period–cohort models. Statistics in Medicine, 1996. 15(3): p. 273-281. 115. Tu, Y.-K., N. Krämer, and W.-C. Leec, Addressing the identification problem in age-period-cohort analysis: a tutorial on the use of partial least squares and principal components analysis. Epidemiology, 2012: p. 583-593. 116. Tu, Y.-K., G.D. Smith, and M.S. Gilthorpe, A new approach to age-period-cohort analysis using partial least squares regression: the trend in blood pressure in the Glasgow alumni cohort. PloS one, 2011. 6(4): p. e19401. 117. Rosenberg, P.S., D.P. Check, and W.F. Anderson, A web tool for age-period-cohort analysis of cancer incidence and mortality rates. Cancer Epidemiol Biomarkers Prev, 2014. 23(11): p. 2296-302. 118. Heo, J., et al., The unrealized potential: cohort effects and age-period-cohort analysis. Epidemiol Health, 2017. 39: p. e2017056. 119. Tzeng, I.S. and W.C. Lee, Forecasting hepatocellular carcinoma mortality in Taiwan using an age-period-cohort model. Asia Pac J Public Health, 2015. 27(2): p. Np65-73. 120. Bernstein, C.N., et al., The epidemiology of inflammatory bowel disease in Canada: a population-based study. Am J Gastroenterol, 2006. 101(7): p. 1559-68. 121. Møller, B., et al., Prediction of cancer incidence in the Nordic countries: empirical comparison of different approaches. Statistics in medicine, 2003. 22(17): p. 2751-2766. 122. Smittenaar, C., et al., Cancer incidence and mortality projections in the UK until 2035. British journal of cancer, 2016. 115(9): p. 1147. 123. Moller, B., et al., Prediction of cancer incidence in the Nordic countries up to the year 2020. Eur J Cancer Prev, 2002. 11 Suppl 1: p. S1-96. 124. Su, S.Y., et al., Secular trends in liver cancer incidence from 1997 to 2014 in Taiwan and projection to 2035: An age-period-cohort analysis. J Formos Med Assoc, 2019. 118(1 Pt 3): p. 444-449. 125. Kontis, V., et al., Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble. Lancet, 2017. 389(10076): p. 1323-1335. 126. Flores, B.E., A pragmatic view of accuracy measurement in forecasting. Omega, 1986. 14(2): p. 93-98. 127. Su, S.-Y., et al., Secular trends in liver cancer incidence from 1997 to 2014 in Taiwan and projection to 2035: An age-period-cohort analysis. Journal of the Formosan Medical Association, 2019. 118(1): p. 444-449. 128. Anderson, W.F., H.A. Katki, and P.S. Rosenberg, Incidence of breast cancer in the United States: current and future trends. J Natl Cancer Inst, 2011. 103(18): p. 1397-402. 129. Martin-Sanchez, J.C., et al., Bayesian prediction of lung and breast cancer mortality among women in Spain (2014-2020). Cancer Epidemiol, 2016. 43: p. 22-9. 130. Lee, M.M., et al., Breast cancer and dietary factors in Taiwanese women. 2005. 16(8): p. 929-937. 131. Lai, F.M., et al., A case-control study of parity, age at first full-term pregnancy, breast feeding and breast cancer in Taiwanese women. Proc Natl Sci Counc Repub China B, 1996. 20(3): p. 71-7. 132. Yang, P.S., et al., A case-control study of breast cancer in Taiwan--a low-incidence area. Br J Cancer, 1997. 75(5): p. 752-6. 133. Chang, S.R. and K.H. Chen, Age at menarche of three-generation families in Taiwan. Ann Hum Biol, 2008. 35(4): p. 394-405. 134. Shen, T.Y., et al., Secular trends and associated factors of age at natural menopause in Taiwanese women. Menopause, 2019. 26(5): p. 499-505. 135. Lu, Y.Y., et al., Daily intake of 4-nonylphenol in Taiwanese. Environ Int, 2007. 33(7): p. 903-10. 136. Chen, C.Y., et al., Determining estrogenic steroids in Taipei waters and removal in drinking water treatment using high-flow solid-phase extraction and liquid chromatography/tandem mass spectrometry. Sci Total Environ, 2007. 378(3): p. 352-65. 137. Fang, G.C., et al., Polycyclic aromatic hydrocarbons in the ambient air of suburban and industrial regions of central Taiwan. Chemosphere, 2004. 54(4): p. 443-52. 138. Autier, P., et al., Disparities in breast cancer mortality trends between 30 European countries: retrospective trend analysis of WHO mortality database. Bmj, 2010. 341: p. c3620. 139. Amaro, J., et al., Patterns of breast cancer mortality trends in Europe. Breast, 2013. 22(3): p. 244-53. 140. Baum, M., et al., Improved survival among patients treated with adjuvant tamoxifen after mastectomy for early breast cancer. Lancet, 1983. 2(8347): p. 450. 141. Holmes, F.A., et al., Phase II trial of taxol, an active drug in the treatment of metastatic breast cancer. J Natl Cancer Inst, 1991. 83(24): p. 1797-805. 142. Albertini, J.J., et al., Lymphatic mapping and sentinel node biopsy in the patient with breast cancer. Jama, 1996. 276(22): p. 1818-22. 143. Rajan, S., et al., Multidisciplinary decisions in breast cancer: does the patient receive what the team has recommended? Br J Cancer, 2013. 108(12): p. 2442-7. 144. Hsiao, W.C., et al., What can be achieved with a single-payer NHI system: The case of Taiwan. 2016. 145. Tabár, L., et al., Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades. 2011. 260(3): p. 658-663. 146. Fletcher, S.W., et al., Report of the International Workshop on Screening for Breast Cancer. J Natl Cancer Inst, 1993. 85(20): p. 1644-56. 147. Lundberg, V., et al., Use of oral contraceptives and hormone replacement therapy in the WHO MONICA project. Maturitas, 2004. 48(1): p. 39-49. 148. Rossouw, J.E., et al., Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial. Jama, 2002. 288(3): p. 321-33. 149. Doepke, M.J.J.o.E.g., Accounting for fertility decline during the transition to growth. 2004. 9(3): p. 347-383. 150. Ng, M., et al., Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet, 2014. 384(9945): p. 766-81. 151. Anderson, W.F., et al., How many etiological subtypes of breast cancer: two, three, four, or more? 2014. 106(8): p. dju165. 152. Leong, S.P., et al., Is breast cancer the same disease in Asian and Western countries? World J Surg, 2010. 34(10): p. 2308-24. 153. Anderson, W.F., et al., Associations of parity-related reproductive histories with ER±and HER2±receptor-specific breast cancer aetiology. 2017. 46(1): p. 86-95. 154. Rosenberg, P.S., K.A. Barker, and W.F. Anderson, Estrogen Receptor Status and the Future Burden of Invasive and In Situ Breast Cancers in the United States. J Natl Cancer Inst, 2015. 107(9). 155. Anderson, W.F., et al., Divergent estrogen receptor-positive and -negative breast cancer trends and etiologic heterogeneity in Denmark. Int J Cancer, 2013. 133(9): p. 2201-6. 156. Barnes, B.B., et al., Population attributable risk of invasive postmenopausal breast cancer and breast cancer subtypes for modifiable and non-modifiable risk factors. Cancer epidemiology, 2011. 35(4): p. 345-352. 157. Shin, H.-R., et al., Recent trends and patterns in breast cancer incidence among Eastern and Southeastern Asian women. Cancer Causes Control, 2010. 21(11): p. 1777-1785. 158. Chen, C.-H., et al., Population structure of Han Chinese in the modern Taiwanese population based on 10,000 participants in the Taiwan Biobank project. Human molecular genetics, 2016. 25(24): p. 5321-5331. 159. Goldhirsch, A., et al., Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol, 2011. 22(8): p. 1736-47. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77179 | - |
dc.description.abstract | 研究背景:乳癌為世界上發生率最高的惡性腫瘤。台灣近一百年經歷日本殖民、二次大戰結束並於1960年代開始工業化。不同出生世代生活經驗很大不同,因此將以年齡-年代-世代方法分析台灣乳癌發生率以及死亡率,並以同樣方式進行國際間比較。 材料方法:使用台灣1997-2016乳癌原位癌、侵襲癌發生率以及乳癌死亡率資料。世界各國乳癌侵襲癌發生率以五大洲癌症登記1997-2011年資料。兩者皆以“年齡-年代-世代”模式分析。 研究結果:台灣乳癌發生率有很強的世代效應,但在年輕的出生世代,上升趨勢有緩減的現象;而台灣乳癌死亡率並無世代效應。國際比較方面,乳癌世代效應排名前三依序為韓國、台灣以及日本。印度和香港有世代效應,但不若韓國、台灣以及日本明顯。菲律賓乳癌發生率並無世代效應。洛杉磯的各類族群(包含亞裔族群)乳癌發生率皆無世代效應。 結論:越早開始接觸西方事物的國家,乳癌發生率的世代效應越不明顯。乳癌可能為一西化所造成的富裕疾病。 | zh_TW |
dc.description.abstract | Background: Breast cancer is the most common female neoplasm in the world. Taiwan has experienced Japanese colonization, the end of the Second World War, and industrialization began in the 1960s. The life experiences of different birth cohorts are very different. The age-period-cohort analysis will be used to analyze the incidence and mortality of breast cancer in Taiwan, and the international comparisons will be made in the same way. Materials and Methods: Data on the incidence and mortality of breast cancer from 1997 to 2016 were used in Taiwan. The international companions of breast cancer incidence were from 1997 to 2011. Both were analyzed in an age-period-cohort analysis model. Results: The incidence of breast cancer in Taiwan has a strong cohort effect, but in the younger cohorts, the upward trend has been slowed down. There is no cohort effect on breast cancer mortality in Taiwan. Internationally, the top three breast cancer cohort effects are South Korea, Taiwan and Japan. India and Hong Kong have cohort effects, but not as pronounced as South Korea, Taiwan and Japan. There was no cohort effect in the Philippines. There was no cohort effect among all ethnicity groups, including Asians, in Los Angeles. Conclusion: Breast cancer may be a disease caused by westernization. | en |
dc.description.provenance | Made available in DSpace on 2021-07-10T21:49:37Z (GMT). No. of bitstreams: 1 ntu-108-D99849005-1.pdf: 2723406 bytes, checksum: f9d607d91f5e89746386db16deaf38cc (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 目 錄 1 圖表目錄 2 中文摘要 3 Abstract 4 第一章、 前言 5 第二章、 文獻探討 8 第一節、 乳癌及其危險因子 8 第二節、 年齡-年代-世代分析 (Age-period-cohort analysis;APC) 22 第三節、 以年齡-年代-世代模式進行預測 26 第三章、 研究目的、材料與方法 29 第一節、 研究目的 29 第二節、 研究材料與方法 30 第四章、 研究結果 35 第一節、 台灣女性乳癌發生率、死亡率年齡-年代-世代分析 35 第二節、 台灣女性乳癌侵襲癌發生率及乳癌死亡率的未來預測 51 第三節、 台灣女性乳癌發生率與世界各國的比較 64 第五章、 討論 90 參考文獻 101 | |
dc.language.iso | zh-TW | |
dc.title | 台灣乳癌發生率及死亡率之年齡-年代-世代效應分析與國際比較 | zh_TW |
dc.title | Age-Period-Cohort Analysis of Breast Cancer Incidence/Mortality Rates in Taiwan and International Comparisons | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 俞志誠,杜裕康‧,林先和,游山林,廖勇柏 | |
dc.subject.keyword | 年齡-年代-世代,乳癌,世代效應,國際比較, | zh_TW |
dc.subject.keyword | Age-Period-Cohort,Breast Cancer,Cohort Effect,International Comparisons., | en |
dc.relation.page | 112 | |
dc.identifier.doi | 10.6342/NTU201904005 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2019-08-19 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
顯示於系所單位: | 流行病學與預防醫學研究所 |
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