Dongying People's Hospital, Dongying, People's Republic of China.
Dongying Center for Disease Control and Prevention, Dongying, People's Republic of China.
Cancer Med. 2023 Jan;12(2):1888-1902. doi: 10.1002/cam4.5006. Epub 2022 Jul 3.
To investigate the secular trends in breast cancer burden with attributable risk factors, and make projections over time, which would contribute to the control and prevention of breast cancer.
We extracted detailed data on breast cancer incident cases and age-standardized incidence rate (ASIR), deaths and age-standardized mortality rate (ASMR), disability-adjusted life-years (DALYs), and age-standardized DALYs rate (ASDR), as well as the attributable risk factors in China from the Global Burden of Diseases Study 2019. The estimated annual percentage change (EAPC) was calculated to quantify the changing trends. The national DALYs attributable to Socio-demographic Index (SDI) values were also presented. Projections to 2030 were estimated using the Bayesian age-period-cohort model.
From 1990 to 2019, the number of breast cancer incident cases increased fourfold to 375,484, with deaths and DALYs over doubling to 96.306 and 2,957,454, respectively. The ASIR (EAPC = 2.84; 95% CI, 2.74-2.95) and ASMR (EAPC = 0.06; 95% CI, 0.00-0.12) increased, while the ASDR decreased with the EAPC of -0.13 (95% CI, -0.19 to -0.06) at the same period. The ASDR varied across provincial regions, which appeared to be in a wave-like upcurve with SDI values increasing. High body mass index became the first contribution to breast cancer DALYs for females in 2019, and alcohol use for males. Breast Cancer incident cases and deaths would increase to 587.7 and 125.6 thousand in 2030, of which there will be 577.1 and 122.7 thousand for females, and 10.6 and 2.9 thousand for males, respectively.
Breast cancer remains a major public health problem in China. The absolute burden has been increasing over time, and varied across sex and regions. To control the potential risk factors and develop specific strategies will help to reduce the disease burden.
为了研究乳腺癌负担的长期趋势及归因风险因素,并对未来进行预测,这将有助于乳腺癌的控制和预防。
我们从 2019 年全球疾病负担研究中提取了中国乳腺癌发病例数和年龄标准化发病率(ASIR)、死亡数和年龄标准化死亡率(ASMR)、伤残调整生命年(DALYs)和年龄标准化伤残调整生命年率(ASDR),以及归因于社会人口指数(SDI)值的风险因素的详细数据。通过计算估计年度百分比变化(EAPC)来量化变化趋势。还呈现了归因于 SDI 值的全国 DALYs 。使用贝叶斯年龄-时期-队列模型对 2030 年的预测进行了估计。
1990 年至 2019 年期间,乳腺癌发病例数增加了四倍,达到 375484 例,死亡数和 DALYs 增加了一倍以上,分别达到 96306 例和 2957454 例。ASIR(EAPC=2.84;95%CI,2.74-2.95)和 ASMR(EAPC=0.06;95%CI,0.00-0.12)增加,而同期 ASDR 下降,EAPC 为-0.13(95%CI,-0.19 至-0.06)。各省级地区的 ASDR 存在差异,随着 SDI 值的增加,呈现出波浪式上升趋势。高体重指数(BMI)在 2019 年成为女性乳腺癌 DALYs 的首要贡献因素,而饮酒则是男性的首要贡献因素。2030 年乳腺癌发病例数和死亡例数将分别增加到 587700 例和 125600 例,其中女性将分别为 577100 例和 122700 例,男性将分别为 10600 例和 2900 例。
乳腺癌仍然是中国的一个主要公共卫生问题。绝对负担随着时间的推移一直在增加,并且在性别和地区之间存在差异。控制潜在的风险因素并制定具体的策略将有助于减轻疾病负担。