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1990年至2021年中国吸烟所致喉癌负担及2035年预测:全球疾病负担研究2021的年龄-时期-队列分析

Burden of laryngeal cancer in China caused by smoking from 1990 to 2021 and predictions for 2035: An age-period-cohort analysis of global burden of disease study 2021.

作者信息

Gu Xue, Sun Xiaopeng, Ren Xiao, Li Yu, Fang Yingying, Song Hui, Luo Pingli, Yuan Mengfan

机构信息

Department of Otolaryngology Head and Neck Surgery, Second Affiliated Hospital of Xi'an Medical University, Xi 'an, China.

出版信息

Tob Induc Dis. 2025 Apr 12;23. doi: 10.18332/tid/202875. eCollection 2025.

DOI:10.18332/tid/202875
PMID:40224397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11992923/
Abstract

INTRODUCTION

Smoking is a major risk factor for laryngeal cancer (LC). Understanding the impact of smoking on the changing disease burden of LC is crucial for LC prevention in China and provides a scientific basis for formulating targeted LC prevention and control strategies, contributing to the achievement of the 'Healthy China 2030' goals.

METHODS

Data on LC attributable to smoking in China, stratified by sex, age, and year, were obtained from the 2021 Global Burden of Disease (GBD) study to conduct a secondary data analysis. Joinpoint regression was used to analyze trends in the burden of LC attributable to smoking in China from 1990 to 2021. Age-period-cohort (APC) analysis was employed to compare and analyze trends in the age, period, and cohort effects on the disease burden. Finally, Bayesian age-period-cohort (BAPC) analysis was used to predict trends in LC mortality and disability-adjusted life years (DALYs) from 2022 to 2035.

RESULTS

From 1990 to 2021, the overall burden of LC attributable to smoking in China increased. The number of deaths in males rose from 9128 to 14219, and in females from 790 to 1054. DALYs increased by 39.85% in males and 22.21% in females. Despite the rise in absolute burden, age-standardized mortality rates (ASMR) and age-standardized DALY rates (ASDR) declined, with reductions exceeding 50% in females. Joinpoint regression analysis revealed a decline-stabilization-decline trend in age-standardized rates among males, while females exhibited a continuous decline. According to the APC model, the age effect on disease burden increased with age, while period and cohort risk ratios generally declined. Net drift analysis showed a decline in mortality and DALY rates attributable to smoking, more pronounced in females than males, with local drift values <0 for both sexes. Predictions indicate that by 2035, male LC deaths will reach 17205, and female deaths 1373; however, ASMR and ASDR will continue to decline, with male ASMR dropping to 2.44 per 100000 and female ASMR to 0.16 per 100000.

CONCLUSIONS

Over the past three decades, the burden of LC attributable to smoking in China has shown an increasing trend, with sex and age disparities. This burden is expected to continue rising over the next fourteen years. Therefore, it is imperative to strengthen smoking prevention and cessation efforts, particularly targeting high-risk groups. Additionally, continued emphasis on education and awareness regarding LC is necessary to facilitate early detection and intervention, thereby effectively reducing the disease burden attributable to smoking.

摘要

引言

吸烟是喉癌(LC)的主要危险因素。了解吸烟对喉癌疾病负担变化的影响,对于中国的喉癌预防至关重要,并为制定针对性的喉癌防控策略提供科学依据,有助于实现“健康中国2030”目标。

方法

从2021年全球疾病负担(GBD)研究中获取中国按性别、年龄和年份分层的归因于吸烟的喉癌数据,进行二次数据分析。采用Joinpoint回归分析1990年至2021年中国归因于吸烟的喉癌负担趋势。运用年龄-时期-队列(APC)分析比较和分析年龄、时期和队列效应在疾病负担上的趋势。最后,使用贝叶斯年龄-时期-队列(BAPC)分析预测2022年至2035年喉癌死亡率和伤残调整生命年(DALYs)的趋势。

结果

1990年至2021年,中国归因于吸烟的喉癌总体负担增加。男性死亡人数从9128例增至14219例,女性从790例增至1054例。男性DALYs增加了39.85%,女性增加了22.21%。尽管绝对负担有所上升,但年龄标准化死亡率(ASMR)和年龄标准化DALY率(ASDR)下降,女性下降幅度超过50%。Joinpoint回归分析显示男性年龄标准化率呈下降-稳定-下降趋势,而女性呈持续下降趋势。根据APC模型,年龄对疾病负担的影响随年龄增长而增加,而时期和队列风险比总体下降。净漂移分析显示归因于吸烟的死亡率和DALY率下降,女性比男性更明显,两性的局部漂移值均<0。预测表明,到2035年,男性喉癌死亡人数将达到17205例,女性死亡人数将达到1373例;然而,ASMR和ASDR将继续下降,男性ASMR降至每10万分之2.44,女性ASMR降至每10万分之0.16。

结论

在过去三十年中,中国归因于吸烟的喉癌负担呈上升趋势,存在性别和年龄差异。预计在未来十四年中这一负担将继续上升。因此,必须加强吸烟预防和戒烟工作,特别是针对高危人群。此外,持续强调喉癌的教育和意识,以促进早期发现和干预,从而有效降低归因于吸烟的疾病负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/46094b4f9b0d/TID-23-47-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/5a5a398ccea8/TID-23-47-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/b95ba3a76858/TID-23-47-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/46094b4f9b0d/TID-23-47-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/5a5a398ccea8/TID-23-47-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/b95ba3a76858/TID-23-47-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/5a2445e4cad2/TID-23-47-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17cc/11992923/46094b4f9b0d/TID-23-47-g004.jpg

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