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Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women
BACKGROUND: Breast cancer is the leading cause of cancer morbidity among Shanghai and Hong Kong women, which contributes to 20–25% of new female cancer incidents. This study aimed to describe the temporal trend of breast cancer and interpret the potential effects on the observed secular trends. METH...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442698/ https://www.ncbi.nlm.nih.gov/pubmed/28535760 http://dx.doi.org/10.1186/s12885-017-3359-5 |
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author | Wang, Feng Tse, Lap Ah Chan, Wing-cheong Kwok, Carol Chi-hei Leung, Siu-lan Wu, Cherry Mang, Oscar Wai-kong Ngan, Roger Kai-cheong Li, Mengjie Yu, Wai-cho Tsang, Koon-ho Law, Sze-hong Miao, Xiaoping Wu, Chunxiao Zheng, Ying Wu, Fan Yang, Xiaohong R. Yu, Ignatius Tak-sun |
author_facet | Wang, Feng Tse, Lap Ah Chan, Wing-cheong Kwok, Carol Chi-hei Leung, Siu-lan Wu, Cherry Mang, Oscar Wai-kong Ngan, Roger Kai-cheong Li, Mengjie Yu, Wai-cho Tsang, Koon-ho Law, Sze-hong Miao, Xiaoping Wu, Chunxiao Zheng, Ying Wu, Fan Yang, Xiaohong R. Yu, Ignatius Tak-sun |
author_sort | Wang, Feng |
collection | PubMed |
description | BACKGROUND: Breast cancer is the leading cause of cancer morbidity among Shanghai and Hong Kong women, which contributes to 20–25% of new female cancer incidents. This study aimed to describe the temporal trend of breast cancer and interpret the potential effects on the observed secular trends. METHODS: Cancer incident data were obtained from the cancer registries. Age-standardized incidence rate was computed by the direct method using the World population of 2000. Average annual percentage change (AAPC) in incidence rate was estimated by the Joinpoint regression. Age, period and cohort effects were assessed by using a log-linear model with Poisson regression. RESULTS: During 1976–2009, an increasing trend of breast cancer incidence was observed, with an AAPC of 1.73 [95% confidence interval (CI): 1.54–1.92)] for women in Hong Kong and 2.83 (95% CI, 2.26–3.40) in Shanghai. Greater upward trends were revealed in Shanghai women aged 50 years old or above (AAPC = 3.09; 95% CI, 1.48–4.73). Using age at 50 years old as cut-point, strong birth cohort effects were shown in both pre- and post-menopausal women, though a more remarkable effect was suggested in Shanghai post-menopausal women. No evidence for a period effect was indicated. CONCLUSIONS: Incidence rate of breast cancer has been more speedy in Shanghai post-menopausal women than that of the Hong Kong women over the past 30 years. Decreased birth rate and increasing environmental exposures (e.g., light-at-night) over successive generations may have constituted major impacts on the birth cohort effects, especially for the post-menopausal breast cancer; further analytic studies are warranted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3359-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5442698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54426982017-05-25 Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women Wang, Feng Tse, Lap Ah Chan, Wing-cheong Kwok, Carol Chi-hei Leung, Siu-lan Wu, Cherry Mang, Oscar Wai-kong Ngan, Roger Kai-cheong Li, Mengjie Yu, Wai-cho Tsang, Koon-ho Law, Sze-hong Miao, Xiaoping Wu, Chunxiao Zheng, Ying Wu, Fan Yang, Xiaohong R. Yu, Ignatius Tak-sun BMC Cancer Research Article BACKGROUND: Breast cancer is the leading cause of cancer morbidity among Shanghai and Hong Kong women, which contributes to 20–25% of new female cancer incidents. This study aimed to describe the temporal trend of breast cancer and interpret the potential effects on the observed secular trends. METHODS: Cancer incident data were obtained from the cancer registries. Age-standardized incidence rate was computed by the direct method using the World population of 2000. Average annual percentage change (AAPC) in incidence rate was estimated by the Joinpoint regression. Age, period and cohort effects were assessed by using a log-linear model with Poisson regression. RESULTS: During 1976–2009, an increasing trend of breast cancer incidence was observed, with an AAPC of 1.73 [95% confidence interval (CI): 1.54–1.92)] for women in Hong Kong and 2.83 (95% CI, 2.26–3.40) in Shanghai. Greater upward trends were revealed in Shanghai women aged 50 years old or above (AAPC = 3.09; 95% CI, 1.48–4.73). Using age at 50 years old as cut-point, strong birth cohort effects were shown in both pre- and post-menopausal women, though a more remarkable effect was suggested in Shanghai post-menopausal women. No evidence for a period effect was indicated. CONCLUSIONS: Incidence rate of breast cancer has been more speedy in Shanghai post-menopausal women than that of the Hong Kong women over the past 30 years. Decreased birth rate and increasing environmental exposures (e.g., light-at-night) over successive generations may have constituted major impacts on the birth cohort effects, especially for the post-menopausal breast cancer; further analytic studies are warranted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3359-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-23 /pmc/articles/PMC5442698/ /pubmed/28535760 http://dx.doi.org/10.1186/s12885-017-3359-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Feng Tse, Lap Ah Chan, Wing-cheong Kwok, Carol Chi-hei Leung, Siu-lan Wu, Cherry Mang, Oscar Wai-kong Ngan, Roger Kai-cheong Li, Mengjie Yu, Wai-cho Tsang, Koon-ho Law, Sze-hong Miao, Xiaoping Wu, Chunxiao Zheng, Ying Wu, Fan Yang, Xiaohong R. Yu, Ignatius Tak-sun Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title | Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title_full | Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title_fullStr | Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title_full_unstemmed | Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title_short | Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women |
title_sort | disparities of time trends and birth cohort effects on invasive breast cancer incidence in shanghai and hong kong pre- and post-menopausal women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5442698/ https://www.ncbi.nlm.nih.gov/pubmed/28535760 http://dx.doi.org/10.1186/s12885-017-3359-5 |
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