Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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
_version_ 1783238447602860032
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
work_keys_str_mv AT wangfeng disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT tselapah disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT chanwingcheong disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT kwokcarolchihei disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT leungsiulan disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT wucherry disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT mangoscarwaikong disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT nganrogerkaicheong disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT limengjie disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT yuwaicho disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT tsangkoonho disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT lawszehong disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT miaoxiaoping disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT wuchunxiao disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT zhengying disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT wufan disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT yangxiaohongr disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen
AT yuignatiustaksun disparitiesoftimetrendsandbirthcohorteffectsoninvasivebreastcancerincidenceinshanghaiandhongkongpreandpostmenopausalwomen