Suppr超能文献

生殖与人口结构变化对中国乳腺癌发病率的影响:一项模型分析

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

作者信息

Linos Eleni, Spanos Demetri, Rosner Bernard A, Linos Katerina, Hesketh Therese, Qu Jian Ding, Gao Yu-Tang, Zheng Wei, Colditz Graham A

机构信息

Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.

出版信息

J Natl Cancer Inst. 2008 Oct 1;100(19):1352-60. doi: 10.1093/jnci/djn305. Epub 2008 Sep 23.

Abstract

BACKGROUND

Breast cancer incidence is currently low in China. However, the distribution of reproductive and lifestyle risk factors for breast cancer among Chinese women is changing rapidly. We quantified the expected effect of changes in breast cancer risk factors on future rates of breast cancer in China.

METHODS

We first validated and calibrated the Rosner-Colditz log-incidence breast cancer model in Chinese women who participated in the Shanghai Women's Health Study cohort (N = 74,942). We then applied the calibrated model to a representative sample of Chinese women who were aged 35-49 years in 2001 using data from the Chinese National Family Planning and Reproductive Health Survey (NFPRHS, N = 17,078) to predict the age-specific and cumulative breast cancer incidence among all Chinese women of this age group. We evaluated the relative impact of changes in modifiable risk factors, including alcohol intake, parity, postmenopausal hormone use, and adult weight gain, on cumulative incidence of breast cancer.

RESULTS

Breast cancer incidence in China is expected to increase substantially from current rates, estimated at 10-60 cases per 100,000 women, to more than 100 new cases per 100,000 women aged 55-69 years by 2021. We predicted 2.5 million cases of breast cancer by 2021 among Chinese women who were 35-49 years old in 2001. Modest reductions in hormone and alcohol use, and weight maintenance could prevent 270,000 of these cases.

CONCLUSIONS

China is on the cusp of a breast cancer epidemic. Although some risk factors associated with economic development are largely unavoidable, the substantial predicted increase in new cases of breast cancer calls for urgent incorporation of this disease in future health care infrastructure planning.

摘要

背景

目前中国乳腺癌发病率较低。然而,中国女性中乳腺癌的生殖和生活方式风险因素分布正在迅速变化。我们对乳腺癌风险因素变化对中国未来乳腺癌发病率的预期影响进行了量化。

方法

我们首先在参与上海女性健康研究队列(N = 74,942)的中国女性中验证并校准了Rosner-Colditz乳腺癌对数发病率模型。然后,我们使用中国国家计划生育与生殖健康调查(NFPRHS,N = 17,078)的数据,将校准后的模型应用于2001年年龄在35 - 49岁的中国女性代表性样本,以预测该年龄组所有中国女性的年龄特异性和累积乳腺癌发病率。我们评估了可改变风险因素(包括酒精摄入、生育状况、绝经后激素使用和成年后体重增加)变化对乳腺癌累积发病率的相对影响。

结果

预计到2021年,中国乳腺癌发病率将从目前估计的每10万名女性10 - 60例大幅上升至55 - 69岁女性中每10万名超过100例新发病例。我们预测,到2021年,2001年年龄在35 - 49岁的中国女性中将有250万例乳腺癌病例。适度减少激素和酒精使用以及维持体重可预防其中27万例。

结论

中国正处于乳腺癌流行的边缘。尽管一些与经济发展相关的风险因素在很大程度上不可避免,但预计乳腺癌新发病例的大幅增加要求在未来的医疗保健基础设施规划中紧急纳入这种疾病。

相似文献

2
Increasing breast cancer incidence in China: the numbers add up.中国乳腺癌发病率上升:数据累计起来了。
J Natl Cancer Inst. 2008 Oct 1;100(19):1339-41. doi: 10.1093/jnci/djn330. Epub 2008 Sep 23.
8
[Can breast cancer be prevented?].[乳腺癌可以预防吗?]
Tidsskr Nor Laegeforen. 1991 May 30;111(14):1745-8.
9
Alcohol consumption and breast cancer risk in the Women's Health Study.女性健康研究中的饮酒与乳腺癌风险
Am J Epidemiol. 2007 Mar 15;165(6):667-76. doi: 10.1093/aje/kwk054. Epub 2007 Jan 4.
10
Breast cancer incidence and hormone replacement therapy in Canada.加拿大的乳腺癌发病率与激素替代疗法。
J Natl Cancer Inst. 2010 Oct 6;102(19):1489-95. doi: 10.1093/jnci/djq345. Epub 2010 Sep 23.

引用本文的文献

4
The African Female Breast Cancer Epidemiology Study Protocol.非洲女性乳腺癌流行病学研究方案
Front Oncol. 2022 Apr 13;12:856182. doi: 10.3389/fonc.2022.856182. eCollection 2022.

本文引用的文献

3
Dietary patterns and breast cancer risk in the shanghai breast cancer study.上海乳腺癌研究中的饮食模式与乳腺癌风险
Cancer Epidemiol Biomarkers Prev. 2007 Jul;16(7):1443-8. doi: 10.1158/1055-9965.EPI-07-0059. Epub 2007 Jul 10.
10
Overweight and obesity in China.中国的超重与肥胖问题。
BMJ. 2006 Aug 19;333(7564):362-3. doi: 10.1136/bmj.333.7564.362.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验