首页|1990-2019年我国居民肺癌死亡水平与疾病负担趋势预测研究

1990-2019年我国居民肺癌死亡水平与疾病负担趋势预测研究

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目的 探讨我国居民1990-2019年肺癌疾病负担与危险因素,并对流行趋势预测分析,为进一步防控提供依据.方法 数据来源于全球疾病负担(GBD)研究,根据中国和全球肺癌的死亡人数、死亡率和标化死亡率(ASMR)描述死亡水平;采用伤残调整寿命年综合评估疾病负担;对职业和非职业共16种危险因素负担进行归因分析.运用Joinpoint找出最优模型,即采用对数线性回归模型计算年度变化百分比(APC)和平均年度变化百分比(AAPC),并进行趋势分析.采用贝叶斯年龄-时期-队列(BAPC)模型预测我国不同性别居民肺癌2020-2035年的死亡情况.结果 1990和2019年中国肺癌死亡人数分别为25.63万例和75.72万例,变化率为195.39%,AAPC=3.84%(95%CI:3.60~4.08),大约是全球(AAPC=2.27%)的 2 倍;死亡率从 21.65/10 万增长到 53.23/10 万,变化率为 145.83%,AAPC=3.08%(95%CI:2.80~3.36),大约是全球(AAPC=0.98%)的3倍;ASMR呈上升趋势,AAPC=0.78%(95%CI:0.56~1.01),但全球呈下降趋势.2019年我国肺癌标化伤残损失寿命年(YLD)、早死损失寿命年(YLL)率和伤残调整寿命年(DALY)率较1990年分别增长了44.49%、8.96%和 9.28%,AAPC 分别为 1.31%(95%CI:1.09~1.53)、0.32%(95%CI:0.09~0.55)和 0.33%(95%CI:0.10~0.56);我国肺癌负担男性更高,且增幅更明显.2019年我国肺癌排名前3的危险因素为吸烟、环境PM2.5和二手烟,高空腹血糖水平从1990年的第6位上升至第4位,其标化DALY率上升幅度最大.预测结果显示,2020-2035年,中国男性肺癌的ASMR平缓波动,而女性表现为上升趋势.结论 我国居民肺癌的死亡水平和疾病负担较全球严重,其中由高空腹血糖水平引起的负担顺位有所上升.预测2020-2035年女性肺癌标化死亡率将上升.全面掌握我国肺癌负担趋势及其影响因素,并有效预测发展趋势,可以为我国肺癌防控工作提供理论支持.
Epidemiological trends and projections of lung cancer deaths levels and disease burden in Chinese residents,1990-2019
Objective To explore the disease burden and risk factors of lung cancer among Chinese residents,1990-2019,and to analyze the trend prediction of the epidemiological trend,so as to provide a basis for further prevention and control.Methods The data were obtained from the Global Burden of Disease(GBD)study,which described the level of mortality based on the number of deaths,mortality rates,and age-standardized mortality rates(ASMR)of lung cancer in China and globally.Disability-adjusted life-years(DALY)were used to comprehensively assess the burden of disease.The burden of a total of 16 occupational and non-occupational risk factors was attributed.The optimal model was identified using the Joinpoint method,which was to use a log linear regression model to calculate the annual percentage change(APC)and av-erage annual percentage change(AAPC),and trend analysis was performed.APC and AAPC were calculated by log-linear regression model,and trend analysis was performed.Bayesian age-period-cohort(BAPC)model was used to predict the deaths of lung cancer of different genders of residents in China from 2020 to 2035.Results From 1990 to 2019,the num-ber of lung cancer deaths in China was 256 300 and 757 200 cases,an increase of 195.39%,AAPC=3.84%(95%CI:3.60-4.08),nearly twice the global growth rate(AAPC=2.27%).The mortality rate increased from 21.65/100 000 to 53.23/100 000,an increase of 145.83%,AAPC=3.08%(95%CI:2.80-3.36),nearly three times the global rate(AAPC=0.98%).ASMR showed an upward trend,AAPC=0.78%(95%CI:0.56-1.01),but the global trend was downward.China's standardized disability loss of life-years for lung cancer,the rate of life-years lost in early death,and the rate of DA-LY rate increased by 44.49%,8.96%,and 9.28%,respectively in 2019,with an AAPCs of 1.31%(95%CI:1.09-1.53),0.32%(95%CI:0.09-0.55),and 0.33%(95%CI:0.10-0.56),respectively.The burden of lung cancer in Chi-na was higher in male,and the increase was more significant.The top three risk factors for lung cancer in China in 2019 were smoking,environmental PM2.5 and second-hand smoke,and high fasting blood glucose level rose to the 4th place,with the largest increase in its standardized DALY rate.The prediction results showed that the standardized mortality rate of lung cancer in Chinese males fluctuated flatly from 2020 to 2035,while females demonstrated an increasing trend.Con-clusions The level of lung cancer deaths and the burden of disease in China's population are more severe than people in the world.There was an increase in the burden parity caused by high fasting blood glucose levels.Lung cancer deaths in fe-males are predicted to rise in the period of 2020-2035.Comprehensively grasping the trend of the burden of lung cancer in China and its influencing factors,as well as effectively predicting the developmental trend,will provide theoretical support for the prevention and control of lung cancer in China.

lung cancerdisease burdenbayesian age-period-cohort analysis modelprojections

辛雯艳、郭晓莉、何小双、王蓓、徐丽娜

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石河子大学第一附属医院呼吸内科,新疆石河子 832000

石河子大学医学院,新疆石河子 832000

肺癌 疾病负担 贝叶斯年龄-时期-队列模型 预测

2024

中华肿瘤防治杂志
中华预防医学会 山东省肿瘤防治研究院

中华肿瘤防治杂志

CSTPCD北大核心
影响因子:1.292
ISSN:1673-5269
年,卷(期):2024.31(2)
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