Literature DB >> 17437268

Age-period-cohort projections of breast cancer incidence in a rapidly transitioning Chinese population.

Irene O L Wong1, Benjamin J Cowling, Catherine Mary Schooling, Gabriel M Leung.   

Abstract

Breast cancer incidence should be assessed separately in different populations, as it differs substantially between Chinese and Caucasian women, and more generally in developing versus developed populations. Estimation of future trends is important for public health planning. On the basis of the recent breast cancer incidence trends, we projected future disease rates in the rapidly transitioning Chinese population of Hong Kong. We used local data on breast cancer incidence and mid-year population figures for the years 1974-2003. We fitted Poisson age-period-cohort models with autoregressive priors on the age, period and cohort effects, and used projections of these effects to forecast future incidence to 2018. We found that age-standardized breast cancer incidence would continue to rise by approximately 1.1% per annum over the next 15 years, from 45.9 cases in 1999-2003 to 54.3 per 100,000 (95% credible interval: 50.9, 58.4) in 2014-2018. Recent secular incidence increases can be attributed to both ageing and intergenerational effects beginning with the postwar baby boomers, whereas there is no evidence for important changes by time period. There does not appear to be differential cohort-related risk for pre- vs. postmenopausal disease. Unlike most other cancers, breast cancer risk in local women would continue to increase in the short to medium term, at a similar rate of increase compared with historical trends. This could most likely be attributed to Hong Kong's socioeconomic developmental history and continuing adoption of westernized lifestyle changes.

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Year:  2007        PMID: 17437268     DOI: 10.1002/ijc.22731

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  19 in total

1.  Early data from the first population-wide breast cancer-specific registry in Hong Kong.

Authors:  Polly Cheung; W K Hung; Catherine Cheung; Amy Chan; T T Wong; Lawrence Li; Sharon W W Chan; K W Chan; Peter Choi; W H Kwan; C C Yau; Emily Y Y Chan; Stephen C K Law; Daisy Kwan
Journal:  World J Surg       Date:  2012-04       Impact factor: 3.352

2.  The contribution of mammography screening to breast cancer incidence trends in the United States: an updated age-period-cohort model.

Authors:  Ronald E Gangnon; Brian L Sprague; Natasha K Stout; Oguz Alagoz; Harald Weedon-Fekjær; Theodore R Holford; Amy Trentham-Dietz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-03-18       Impact factor: 4.254

Review 3.  Current Status and Future Projections of Breast Cancer in Asia.

Authors:  Lei Fan; Paul E Goss; Kathrin Strasser-Weippl
Journal:  Breast Care (Basel)       Date:  2015-12-15       Impact factor: 2.860

4.  Female breast cancer incidence among Asian and Western populations: more similar than expected.

Authors:  Hyuna Sung; Philip S Rosenberg; Wan-Qing Chen; Mikael Hartman; Wei-Yen Lim; Kee Seng Chia; Oscar Wai-Kong Mang; Chun-Ju Chiang; Daehee Kang; Roger Kai-Cheong Ngan; Lap Ah Tse; William F Anderson; Xiaohong R Yang
Journal:  J Natl Cancer Inst       Date:  2015-04-13       Impact factor: 13.506

5.  Effects of reproductive and demographic changes on breast cancer incidence in China: a modeling analysis.

Authors:  Eleni Linos; Demetri Spanos; Bernard A Rosner; Katerina Linos; Therese Hesketh; Jian Ding Qu; Yu-Tang Gao; Wei Zheng; Graham A Colditz
Journal:  J Natl Cancer Inst       Date:  2008-09-23       Impact factor: 13.506

6.  How does socioeconomic development affect risk of mortality? An age-period-cohort analysis from a recently transitioned population in China.

Authors:  Roger Y Chung; C Mary Schooling; Benjamin J Cowling; Gabriel M Leung
Journal:  Am J Epidemiol       Date:  2009-12-30       Impact factor: 4.897

7.  How does socioeconomic development affect COPD mortality? An age-period-cohort analysis from a recently transitioned population in China.

Authors:  Jing Chen; Catherine Mary Schooling; Janice Mary Johnston; Anthony Johnson Hedley; Sarah Morag McGhee
Journal:  PLoS One       Date:  2011-09-15       Impact factor: 3.240

8.  Breast cancer in the Thai Cohort Study: an exploratory case-control analysis.

Authors:  Susan Jordan; Lynette Lim; Duangkae Vilainerun; Emily Banks; Nintita Sripaiboonkij; Sam-ang Seubsman; Adrian Sleigh; Christopher Bain
Journal:  Breast       Date:  2009-10-02       Impact factor: 4.380

9.  Age-period-cohort projections of ischaemic heart disease mortality by socio-economic position in a rapidly transitioning Chinese population.

Authors:  Irene O L Wong; Benjamin J Cowling; Gabriel M Leung; C Mary Schooling
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

10.  Combined treatment of glibenclamide and CoCl2 decreases MMP9 expression and inhibits growth in highly metastatic breast cancer.

Authors:  Zhe Rong; Li Li; Fei Fei; Lailong Luo; Yang Qu
Journal:  J Exp Clin Cancer Res       Date:  2013-05-28
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