[1]向 芳,李 胜,郝 莲,等.2003—2017年中国女性宫颈癌死亡趋势分析——基于年龄—时期—队列模型[J].卫生经济研究,2020,(05):23-27.
　XIANG Fang,LI Sheng,HAO Lian,et al.Analysis on Chinese Women's Cervical Cancer Death Trends from 2003 to 2017——Based on Age-Period-Cohort Model[J].Journal Press of Health Economics Research,2020,(05):23-27.
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2003—2017年中国女性宫颈癌死亡趋势分析
——基于年龄—时期—队列模型
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卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
期数:
2020年05期
页码:
23-27
栏目:
成本与费用
出版日期:
2020-04-29

文章信息/Info

Title:
Analysis on Chinese Women's Cervical Cancer Death Trends from 2003 to 2017
——Based on Age-Period-Cohort Model
作者:
向 芳1; 李 胜2; 郝 莲1; 康媛媛1
1.成都中医药大学管理学院，四川 成都 610075
2.成都中医药大学健康政策与药事运营管理研究中心，四川 成都 610075
Author(s):
XIANG Fang;  LI Sheng;  HAO Lian;  KANG Yuan-yuan
Management College of Chengdu University of Traditional Chinese Medicine, Chengdu Sichuan 610075,China
关键词:
宫颈癌; 死亡率; APC模型
Keywords:
cervical cancer; mortality rate; APC model
分类号:
R19；R737.33
文献标志码:
A
摘要:
目的：探讨2003—2017年我国成年女性宫颈癌死亡趋势。方法：采用年龄—时期—队列模型和内生因子法估计宫颈癌死亡风险的年龄、时期和队列效应。结果：2003—2017年，我国女性宫颈癌死亡率整体呈上升趋势，APC模型分析显示，我国女性宫颈癌死亡风险的年龄效应随年龄增加而增大，城市和农村女性分别在70~74岁和50~54岁面临更高的死亡风险；出生队列效应整体呈下降趋势，且变化速度波动较大。结论：应积极开展宫颈癌防治相关知识宣传工作，加大宫颈癌筛查力度，提倡健康的生活方式。
Abstract:
Objective To explore the death trend of cervical cancer among adult women in China from 2003 to 2017. Methods The age-period-cohort model and endogenous factor method were used to estimate the age, period and cohort effect of cervical cancer mortality risk. Results From 2003 to 2017, the overall mortality rate of cervical cancer among females in China showed an upward trend. The analysis of APC model showed that the age effect of cervical cancer death risk among females in China increased with age. Urban and rural women face higher risk of death at ages 70-74, and 50-54, respectively; the overall effect of the birth cohort is declining, and the rate of change fluctuates greatly. Conclusion Health promotion of cervical cancer prevention related knowledge should be actively carried out, cervical cancer screening should be increased, and a healthy lifestyle should be promoted.

参考文献/References:

[1] Bray F. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]．CA Cancer Journal for Clinicians，2018，68 (6): 394-424.
[2] 陶思源,彭介入,王英, 等.子宫颈癌及癌前病变患者直接经济负担及其影响因素研究[J].中华预防医学杂志,2018,52(12):1281-1286.
[3] 祝意,白亚娜,胡晓斌,等.农业人群女性三种恶性肿瘤经济负担趋势调查[J].中国全科医学,2012,15(28):3300-3302.
[4] 苏晶晶,彭非.年龄-时期-队列模型参数估计方法最新研究进展[J].统计与决策,2014(23):21-26.
[5] Fu W J. Ridge Estimator in Singular Design with Application to Age-Period-Cohort Analysis of Disease Rates[J]. Communications in Statistics - Theory and Methods, 2000, 29(2):263-278.
[6] Yang Y, Land K C. The Intrinsic Estimator for Age-Period-Cohort Analysis: What It Is and How to Use It[J]. American Journal of Sociology, 2008, 113(6):1697-1736.
[7] Martínez Miranda M D, Nielsen B, Nielsen J P. Inference and forecasting in the age-period-cohort model with unknown exposure with an application to mesothelioma mortality[J]. Journal of the Royal Statistical Society: Series A(Statistics in Society), 2015, 178(1):29-55.
[8] 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(5):285-289.
[9] 乔友林,赵宇倩.宫颈癌的流行病学现状和预防[J].中华妇幼临床医学杂志(电子版),2015,11(2):1-6. [10] Bosch F, Lorincz A, Mu?oz N, et al. The causal relation between human papillomavirus and cervical cancer[J]. Journal of Clinical Pathology, 2002, 55(4):244-265.
[11] 王宇,宋淑芳,刘凤.我国宫颈癌流行病学特征和发病高危因素的研究进展[J].中国妇幼保健,2019,34(5):1207-1209.
[12] 赵方辉,胡尚英,张思维,等.2004-2005年中国居民子宫颈癌死亡情况及30年变化趋势[J].中国预防医学杂志,2010,44(5):408-412.
[13] Du PL, Wu KS, Fang JY, et al. Cervical cancer mortality trends in China,1991-2013,and predictions for the future[J].Asian Pac J Cancer Prev,2015,16(15):6391-6396.
[14] 应倩,夏庆民,郑荣寿,等.中国2009年宫颈癌发病与死亡分析[J].中国肿瘤,2013,22(8):612-616.
[15] Gutiérrez O M, Muntner P , Rizk D V , et al. Dietary Patterns and Risk of Death and Progression to ESRD in Individuals With CKD: A Cohort Study[J]. American Journal of Kidney Diseases, 2014, 64(2):204-213.
[16] 王国威,刘丁阳,马艺菲,等.徐州市肾功能下降患病率的年龄-时期-队列模型分析[J].郑州大学学报(医学版),2019,54(2):241-244.
[17] 熊甜,王雷,魏晟,等.2004-2016年湖北省0～10岁人群乙肝发病变化的年龄-时期-队列(APC)模型[J].中国卫生统计,2018,35(3):388-390.
[18] 高艳多,吴凯,朱慈华,等.武汉市江岸区2000-2014年脑血管疾病死亡趋势的年龄-时期-队列模型分析[J].中华疾病控制杂志,2017,21(2):118-122.
[19] Ito Y, Ioka A, Nakayama T, et al. Comparison of Trends in Cancer Incidence and Mortality in Osaka, Japan, Using an Age-Period-Cohort Model[J]. Asian Pacific Journal of Cancer Prevention, 2011, 12(4):879-888.
[20] 周薇,张志将,王丽君,等.中国子宫颈癌1987-2014年死亡趋势的Joinpoint回归分析[J].中国癌症杂志,2017,27(8):634-640.
[21] 鲁爱枝,张敏,王金融,等.湖北省肿瘤登记地区2012年宫颈癌发病及死亡分析[J].肿瘤防治研究,2018,45(1):32-36.
[22] 王亮,夏劲节,何燕,等.2011-2015年成都市恶性肿瘤死亡流行特征及变化趋势分析[J].中华疾病控制杂志,2017,21(5):531-533.
[23] 王甫勤.社会经济地位、生活方式与健康不平等[J].社会,2012,32(2):125-143.

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更新日期/Last Update: 2020-04-29