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1990 - 2021年中国胰腺癌吸烟归因疾病负担变化趋势及预测分析中的性别差异

Gender Difference in the Trend and Forecast Analysis of Changes in the Burden of Disease of Pancreatic Cancer Attributable to Smoking in China, 1990-2021.

作者信息

Wang Haodi, Sun Wenhao, Zuo Jiaqian, Wang Gang, Deng Zhengming, Jiang Zhiwei

机构信息

The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

The First Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

出版信息

Cancer Control. 2025 Jan-Dec;32:10732748251341521. doi: 10.1177/10732748251341521. Epub 2025 May 10.

DOI:10.1177/10732748251341521
PMID:40347157
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12065983/
Abstract

BackgroundPancreatic cancer is one of the most aggressive malignant tumors worldwide, often resulting in poor prognosis. Smoking is widely recognized as a significant risk factor for this disease.MethodsThis study extracted data on the disease burden of pancreatic cancer attributable to smoking in China from the Global Burden of Disease 2021 (GBD 2021) database. A total of 447 334 individuals were included in the analysis. A joinpoint regression model was used to calculate the annual percentage change (APC) and average annual percentage change (AAPC) to assess trends in the disease burden from 1990 to 2021. The age-period-cohort model was applied to explain the epidemiological trends of the disease by controlling for variables associated with age, period, and birth cohort. Decomposition analysis was conducted to quantify the relative contributions of population growth, population aging, and epidemiological changes. The Autoregressive Integrated Moving Average (ARIMA) model was utilized to forecast the burden of pancreatic cancer due to smoking in China over the next 15 years.ResultsFrom 1990 to 2021, the age-standardized mortality rate (ASMR) and the age-standardized disability-adjusted life years rate (ASDR) due to smoking-related pancreatic cancer in China exhibited an upward trend. By 2021, the total number of deaths and disability-adjusted life years (DALYs) had almost doubled compared to 1990. The mortality and DALY rates increased with age, peaking at approximately 85 years and 70 years, respectively, indicating a substantial burden on the elderly population. Furthermore, we predict that female ASMR and ASDR may start to decline in the next 15 years; however, the absolute burden remains unchanged. Conversely, the ASMR and ASDR for males continue to rise, indicating an increasing burden, with the male burden consistently surpassing that of females.ConclusionsThis study demonstrates that from 1990 to 2021, the burden of pancreatic cancer attributable to smoking in China has intensified, with significant disparities related to sex and age. The future outlook appears quite severe, given the large population base and accelerating population aging. Strong smoking cessation and control measures specifically targeting elderly males are imperative to limit tobacco exposure among high-risk groups, as these measures are crucial for alleviating the burden of pancreatic cancer in China.

摘要

背景

胰腺癌是全球侵袭性最强的恶性肿瘤之一,通常预后较差。吸烟被广泛认为是该疾病的一个重要危险因素。

方法

本研究从《2021年全球疾病负担》(GBD 2021)数据库中提取了中国吸烟所致胰腺癌疾病负担的数据。共纳入447334人进行分析。采用连接点回归模型计算年度百分比变化(APC)和平均年度百分比变化(AAPC),以评估1990年至2021年疾病负担的趋势。应用年龄-时期-队列模型,通过控制与年龄、时期和出生队列相关的变量来解释该疾病的流行病学趋势。进行分解分析以量化人口增长、人口老龄化和流行病学变化的相对贡献。利用自回归积分移动平均(ARIMA)模型预测未来15年中国吸烟所致胰腺癌的负担。

结果

1990年至2021年,中国吸烟相关胰腺癌的年龄标准化死亡率(ASMR)和年龄标准化残疾调整生命年率(ASDR)呈上升趋势。到2021年,死亡总数和残疾调整生命年(DALYs)与1990年相比几乎翻了一番。死亡率和DALY率随年龄增长而增加,分别在约85岁和70岁时达到峰值,表明老年人口负担沉重。此外,我们预测女性ASMR和ASDR在未来15年可能开始下降;然而,绝对负担保持不变。相反,男性的ASMR和ASDR继续上升,表明负担加重,男性负担一直超过女性。

结论

本研究表明,1990年至2021年,中国吸烟所致胰腺癌的负担加剧,存在与性别和年龄相关的显著差异。鉴于庞大的人口基数和加速的人口老龄化,未来前景相当严峻。必须采取强有力的戒烟和控制措施,特别是针对老年男性,以限制高危人群的烟草暴露,因为这些措施对于减轻中国胰腺癌的负担至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/ebc0c07f5180/10.1177_10732748251341521-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/66f0514bdc28/10.1177_10732748251341521-fig1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/ebc0c07f5180/10.1177_10732748251341521-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/66f0514bdc28/10.1177_10732748251341521-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/cf3fd894c6f5/10.1177_10732748251341521-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/121949945b06/10.1177_10732748251341521-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/1e4995f6e64c/10.1177_10732748251341521-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/81917e2e6954/10.1177_10732748251341521-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/ea08d34884e2/10.1177_10732748251341521-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd72/12065983/ebc0c07f5180/10.1177_10732748251341521-fig7.jpg

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