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Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data

BACKGROUND: Evidence on historical trends extracted embedded in recent data can advance our understanding of the epidemiology of breast cancer for Chinese women. China is a country with significant political, socioeconomic, and cultural events since the 1900s; however, no such studies are reported i...

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Autores principales: Ding, Yani, Chen, Xinguang, Zhang, Qingjun, Liu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445908/
https://www.ncbi.nlm.nih.gov/pubmed/32843006
http://dx.doi.org/10.1186/s12889-020-09375-0
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author Ding, Yani
Chen, Xinguang
Zhang, Qingjun
Liu, Qing
author_facet Ding, Yani
Chen, Xinguang
Zhang, Qingjun
Liu, Qing
author_sort Ding, Yani
collection PubMed
description BACKGROUND: Evidence on historical trends extracted embedded in recent data can advance our understanding of the epidemiology of breast cancer for Chinese women. China is a country with significant political, socioeconomic, and cultural events since the 1900s; however, no such studies are reported in the literature. METHODS: Age-specific mortality rates of breast cancer during 1990–2015 in China were analyzed using APC modeling (age-period-cohort modeling) method. Net effect from birth cohort was derived to measure cancer mortality risk during 1906–1990 when no mortality data were collected, and net effect from time period was derived to measure cancer mortality risk during 1990–2015 when data were collected. Model parameters were estimated using intrinsic estimator, a novel method to handle collinearity. The estimated effects were numerical differentiated to enhance presentations of time/age trend. RESULTS: Breast cancer mortality rate per 100,000 women increased from 6.83 in 1990 to 12.07 in 2015. After controlling for age and period, the risk of breast cancer mortality declined from 0.626 in 1906–10 to − 1.752 in 1991–95 (RR = 0.09). The decline consisted of 3 phases, a gradual phase during 1906–1940, a moderate phase with some fluctuations during 1941–1970, and a rapid phase with large fluctuations during 1971–1995. After controlling for age and cohort, the risk of breast cancer mortality increased from − 0.141 in 1990 to 0.258 in 2015 (RR = 1.49) with an acceleration after 2005. The time trends revealed by both the cohort effect and the period effect were in consistency with the significant political and socioeconomic events in China since the 1900s. CONCLUSIONS: With recent mortality data in 1990–2015, we detected the risk of breast cancer mortality for Chinese women over a long period from 1906 to 2015. The risk declined more than 90% from the highest level in 1906–10 to the lowest in 1990–95, followed by an increase of 49% from 1990 to 2015. Findings of this study connected historical evidence with recent data, supporting further research to exam the relationship between development and risk of breast cancer for medical and health decision-making at the population level and prevention and treatment at the individual level.
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spelling pubmed-74459082020-08-26 Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data Ding, Yani Chen, Xinguang Zhang, Qingjun Liu, Qing BMC Public Health Research Article BACKGROUND: Evidence on historical trends extracted embedded in recent data can advance our understanding of the epidemiology of breast cancer for Chinese women. China is a country with significant political, socioeconomic, and cultural events since the 1900s; however, no such studies are reported in the literature. METHODS: Age-specific mortality rates of breast cancer during 1990–2015 in China were analyzed using APC modeling (age-period-cohort modeling) method. Net effect from birth cohort was derived to measure cancer mortality risk during 1906–1990 when no mortality data were collected, and net effect from time period was derived to measure cancer mortality risk during 1990–2015 when data were collected. Model parameters were estimated using intrinsic estimator, a novel method to handle collinearity. The estimated effects were numerical differentiated to enhance presentations of time/age trend. RESULTS: Breast cancer mortality rate per 100,000 women increased from 6.83 in 1990 to 12.07 in 2015. After controlling for age and period, the risk of breast cancer mortality declined from 0.626 in 1906–10 to − 1.752 in 1991–95 (RR = 0.09). The decline consisted of 3 phases, a gradual phase during 1906–1940, a moderate phase with some fluctuations during 1941–1970, and a rapid phase with large fluctuations during 1971–1995. After controlling for age and cohort, the risk of breast cancer mortality increased from − 0.141 in 1990 to 0.258 in 2015 (RR = 1.49) with an acceleration after 2005. The time trends revealed by both the cohort effect and the period effect were in consistency with the significant political and socioeconomic events in China since the 1900s. CONCLUSIONS: With recent mortality data in 1990–2015, we detected the risk of breast cancer mortality for Chinese women over a long period from 1906 to 2015. The risk declined more than 90% from the highest level in 1906–10 to the lowest in 1990–95, followed by an increase of 49% from 1990 to 2015. Findings of this study connected historical evidence with recent data, supporting further research to exam the relationship between development and risk of breast cancer for medical and health decision-making at the population level and prevention and treatment at the individual level. BioMed Central 2020-08-25 /pmc/articles/PMC7445908/ /pubmed/32843006 http://dx.doi.org/10.1186/s12889-020-09375-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Ding, Yani
Chen, Xinguang
Zhang, Qingjun
Liu, Qing
Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title_full Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title_fullStr Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title_full_unstemmed Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title_short Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990–2015 breast Cancer mortality data
title_sort historical trends in breast cancer among women in china from age-period-cohort modeling of the 1990–2015 breast cancer mortality data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445908/
https://www.ncbi.nlm.nih.gov/pubmed/32843006
http://dx.doi.org/10.1186/s12889-020-09375-0
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