[1]杨珂馨,钟菲菲,曾永杰,等.1992—2021年中国白血病发病和死亡趋势分析 ——基于Joinpoint回归模型和年龄-时期-出生队列模型[J].卫生经济研究,2025,42(08):24-31,36.
 YANG Kexin,ZHONG Feifei,ZENG Yongjie,et al.Trend Analysis of Leukemia Incidence and Mortality in China from 1992 to 2021 ——Based on Joinpoint Regression Model and Age-Period-Birth Cohort Model[J].Journal Press of Health Economics Research,2025,42(08):24-31,36.
点击复制

1992—2021年中国白血病发病和死亡趋势分析
——基于Joinpoint回归模型和年龄-时期-出生队列模型

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
42
期数:
2025年08期
页码:
24-31,36
栏目:
理论研究
出版日期:
2025-07-31

文章信息/Info

Title:
Trend Analysis of Leukemia Incidence and Mortality in China from 1992 to 2021
——Based on Joinpoint Regression Model and Age-Period-Birth Cohort Model
作者:
杨珂馨1钟菲菲1曾永杰1郝彦斌1李 钧1
1.赣南医科大学公共卫生与健康管理学院,江西 赣州 341000
Author(s):
YANG Kexin ZHONG Feifei ZENG Yongjie HAO Yanbin LI Jun
School of Public Health and Health Management, Gannan Medical University, Ganzhou Jiangxi 341000, China
关键词:
白血病Joinpoint回归模型年龄-时期-出生队列模型发病率死亡率
Keywords:
leukemia Joinpoint regression model age-period-birth cohort model incidence mortality
分类号:
R19
文献标志码:
A
摘要:
目的:分析1992—2021年中国白血病发病及死亡趋势。方法:应用Joinpoint回归模型分析白血病患者发病率及死亡率的变化,应用年龄-时期-出生队列模型分析其中的影响因素。结果:1992—2021年中国男性和女性白血病发病率的年均变化百分比分别为0.31%和-0.42%,死亡率的年均变化百分比分别为-1.71%和-2.58%;年龄效应结果显示,发病和死亡风险呈“U”型分布;时期效应结果显示,发病风险呈上升或波动上升趋势,死亡风险逐渐下降;出生队列效应结果显示,发病和死亡风险都逐渐下降。结论:1992—2021年中国白血病发病率先下降后上升,死亡率逐年下降,年龄、时期、出生队列对中国白血病发病和死亡风险都有较大影响,应积极推行三级预防,有效控制白血病发病率和死亡率。
Abstract:
Objective To analyze the trend of leukemia incidence and death in China from 1992 to 2021. Methods The changes of incidence and mortality rate of leukemia patients were analyzed by applying the Joinpoint regression model, and the influencing factors were analyzed by applying the age-period-birth cohort model. Results From 1992 to 2021, the average annual percentage changes of leukemia incidence rate were 0.31% and -0.42% for males and females, and the average annual percentage changes of mortality rate were -1.71%and -2.58% for males and females in China, respectively. The results of the age effect showed that the risk of morbidity and mortality had a "U" shaped distribution. The period effect showed that the risk of morbidity was increasing or fluctuating, and the risk of mortality was gradually decreasing. The birth cohort effect showed that the risk of both morbidity and mortality were gradually decreasing. Conclusion From 1992 to 2021, the incidence rate of leukemia in China first decreased and then increased, and the mortality rate decreased year by year. Age, period, and birth cohort havd a greater impact on the incidence and mortality risk of leukemia. It is necessary to actively implement tertiary prevention to effectively control the incidence rate and mortality rate of leukemia.

参考文献/References:

[1] Bray F,Laversanne M,Sung H,et al.Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J].CA Cancer J Clin,2024,74(03):229-263.
[2] Han B,Zheng R,Zeng H,et al.Cancer incidence and mortality in China,2022[J].Journal of the National Cancer Center,2024,4(01):47-53.
[3] Chen S,Cao Z,Prettner K,et al.Estimates and projections of the global economic cost of 29 cancers in 204 countries and territories from 2020 to 2050[J].JAMA Oncol,2023,9(04):465-472.
[4] 国家卫生健康委员会.2022中国卫生健康统计年鉴[M].北京:中国协和医科大学出版社,2022.
[5] Ferrari A J,Santomauro D F,Aali A,et al.Global incidence, prevalence, years lived with disability(YLDs),disability-adjusted life-years (DALYs), and healthy life expectancy(HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021:a systematic analysis for the Global Burden of Disease Study 2021[J].The Lancet,2024,403(10440):2133-2161.
[6] 曾四清.Joinpoint回归模型及其在传染病流行趋势分析中的应用[J].中国卫生统计,2019,36(05):787-791.
[7] Yin M,Wang F,Zhang Y,et al.Analysis on incidence and mortality trends and age-period-cohort of breast cancer in Chinese women from 1990 to 2019[J].Int J Environ Res Public Health, 2023,20(01):826.
[8] Driscoll T R,Carey R N,Peters S,et al.The australian work exposures study:prevalence of occupational exposure to formaldehyde[J].Ann Occup Hyg,2016,60(01):132-138.
[9] Shi Y,Chen C,Huang Y,et al.Global disease burden and trends of leukemia attributable to occupational risk from 1990 to 2019:an observational trend study[J].Front Public Health,2022,10:1015861.
[10] Karakitsios S P,Sarigiannis D,Gotti A,et al.A methodological frame for assessing benzene induced leukemia risk mitigation due to policy measures[J].Sci Total Environ,2013,443:549-558.
[11] Kabat G C,Wu J W,Moore S C,et al.Lifestyle and dietary factors in relation to risk of chronic myeloid leukemia in the NIH-AARP diet and health study[J].Cancer Epidemiol Biomarkers Prev, 2013,22(05):848-854.
[12] Zhang H,Xin H,Li X,et al.A dose-response relationship of smoking with tuberculosis infection:a cross-sectional study among 21008 rural residents in China[J].PLoS One,2017,12(04):e175183.
[13] Dongdong N,Yumei Z,Jia W Y H L.Secular trend in disease burden of leukemia and its subtypes in China from 1990 to 2019 and its projection in 25years[J].Annals of Hematology,2023,102(09):2375-2386.
[14] 夏俊杰,袁冬妹,蒋伟超,等.甲醛接触、全基因组DNA甲基化与儿童急性淋巴细胞白血病关系[J].中国职业医学,2018,45(03):335-337.
[15] 李会宁,刘彦权,付海英,等.室内装修污染与白血病的相关性研究[J].医学信息,2019,32(22):27-30.
[16] Protano C,Buomprisco G,Cammalleri V,et al.The carcinogenic effects of formaldehyde occupational exposure:a systematic review[J].Cancers (Basel),2021,14(01):165.
[17] Mozzoni P,Pinelli S,Corradi M,et al.Environmental/occupational exposure to radon and non-pulmonary neoplasm risk:a review of epidemiologic evidence[J].International Journal of Environmental Research and Public Health,2021,18(19):10466.
[18] Zhang N,Wu J,Wang Q,et al.Global burden of hematologic malignancies and evolution patterns over the past 30 years[J].Blood Cancer J,2023,13(01):82.
[19] Yi M,Li A,Zhou L,et al.The global burden and attributable risk factor analysis of acute myeloid leukemia in 195 countries and territories from 1990 to 2017: estimates based on the global burden of disease study 2017[J].J Hematol Oncol,2020,13(01):72.
[20] 王兰兰,刘广超,李小凡,等.1990-2019年中国白血病发病率与死亡率年龄-时期-队列分析[J].现代肿瘤医学,2024,32(07):1334-1340.
[21] 李莹,李小燕,燕虹,等.1991-2015年中国白血病死亡趋势APC模型分析[J].中华肿瘤防治杂志,2019,26(05):285-289.
[22] 曾倩,崔芳芳,宇传华,等.中国癌症发病、死亡现状与趋势分析[J].中国卫生统计,2016,33(02):321-323.
[23] Zhu B,Wang Y,Zhou W,et al.Trend dynamics of gout prevalence among the Chinese population,1990-2019: a joinpoint and age-period-cohort analysis[J].Front Public Health,2022,10:1008598.
[24] Dockerty J D.Maternal supplementation with folic acid and other vitamins and risk of leukemia in offspring:a childhood leukemia international consortium study[J].Epidemiology,2014,25(06):811-822.
[25] 《“健康中国 2030”规划纲要》[EB/OL]. (2016-10-25)[2024-04-12].https://www.gov.cn/zhengce/2016-10/25/content_5124174.htm.
[26] 薛连国,姚玉前, 蔡志梅,等.影响儿童急性白血病发病的相关因素分析[J].中国实验血液学杂志,2019,27(06):1799-1805.
[27] 国家统计局.中华人民共和国2023年国民经济和社会发展统计公报[EB/OL].(2024-02-29)[2024-11-26].https://www.stats.gov.cn/sj/zxfb/202402/t20240228_1947915.html.
[28] 秦天燕,叶延程,高彩云,等.2018年甘肃省武威市白血病流行特征及2010-2018年变化趋势[J].中华肿瘤防治杂志,2024,31(12):725-730.

更新日期/Last Update: 2025-07-31