您的位置：山东大学 -> 科技期刊社 -> 《山东大学学报（医学版）》

山东大学学报 (医学版) ›› 2022, Vol. 60 ›› Issue (6): 114-121.doi: 10.6040/j.issn.1671-7554.0.2021.1124

• • 上一篇    下一篇

2019年山东省淄博市居民死因及疾病负担探析

刘盈1*,杨淑霞2*,佘凯丽1,程传龙1,房启迪1,韩闯1,崔峰2,李秀君1   

  • 发布日期:2022-06-17
  • 通讯作者: 李秀君. E-mail:xjli@sdu.edu.cn崔峰. E-mail:cuifeng@126.com*共同第一作者
  • 基金资助:
    国家自然科学基金(81673238);国家重点研发计划(2019YFC1200500,2019YFC1200502)

Cause of death and disease burden of residents of Zibo City, Shandong Province in 2019

LIU Ying1*, YANG Shuxia2*, SHE Kaili1, CHENG Chuanlong1, FANG Qidi1, HAN Chuang1, CUI Feng2, LI Xiujun1   

  1. 1. Department of Biostatistics, School of Public Heath, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Zibo Center for Disease Control and Prevention, Zibo 255026, Shandong, China
  • Published:2022-06-17

PDF (PC)

295

摘要： 目的 分析2019年淄博市户籍居民死亡特征和疾病负担,为淄博市卫生决策和疾病防控提供科学依据。 方法 收集和整理2019年淄博市户籍居民死因监测资料,计算早死所致的寿命损失年(YLLs)、伤残所致的寿命损失年(YLDs)和伤残调整寿命年(DALYs)等疾病负担指标。 结果 2019年淄博市户籍居民死亡率为706.03/10万,标化死亡率为402.47/10万,DALYs为941.36千人年,DALY率为216.71‰,YLLs是DALYs的主要构成部分(62.14%)。男性标化死亡率和DALY率均高于女性; 65岁及以上人群死亡数占总死亡数的77.50%,DALYs占总DALYs的47.97%;分别有89.77%的死亡人数和86.87%的DALYs来自慢性非传染性疾病。死因顺位前3位分别是循环系统疾病、恶性肿瘤和各类伤害;DALYs顺位前3位分别为循环系统疾病、恶性肿瘤和肌肉骨骼及结缔组织疾病。 结论 2019年淄博市户籍居民主要死因和疾病负担都主要以慢性非传染性疾病为主,应重点关注中老年男性等人群,加强对循环系统疾病、恶性肿瘤等居民主要死因和肌肉骨骼及结缔组织疾病等可能严重影响居民健康生命年的疾病的预防与控制。

关键词: 死因监测, 疾病负担, 伤残调整寿命年, 死亡率, 死因顺位

Abstract: Objective To analyze the death characteristics and disease burden of registered residents of Zibo City in 2019 and provide scientific evidence for health decision-making and disease prevention and control. Methods The monitoring data of death of registered residents of Zibo City in 2019 were collected and collated. The disease burden of indicators such as years of life lost(YLLs), years lived with disability(YLDs)and disability-adjusted life years(DALYs)were calculated. Results In 2019, the mortality was 706.03/100,000, standardized mortality was 402.47/100,000, DALYs was 941.36 thousand person-years and DALY rate was 216.71‰. YLLs was the major part of DALYs(62.14%). The standardized mortality and DALY rate of males were higher than those of females; people aged 65 and over accounted for 77.50% of the total deaths and DALYs accounted for 47.97% of the total DALYs; non-communicable diseases accounted for 89.77% of deaths and 86.87% of DALYs, respectively. The top three causes of death were circulatory diseases, malignant neoplasms and various injuries. The top three causes of DALYs were circulatory diseases, malignant neoplasms, and musculoskeletal and connective tissue diseases. Conclusion The major causes of death and disease burden of registered residents of Zibo City in 2019 are non-communicable diseases. The prevention and control of circulatory diseases, malignant neoplasms, and musculoskeletal and connective tissue diseases that may seriously affect residents healthy life years should be strengthened for middle-aged and elderly men and other key groups.

Key words: Death-surveillance, Disease burden, Disability-adjusted life years, Mortality, Death sequence

中图分类号: 

  • R195.4
[1] 侯钱英. 肥城市2014-2017年居民死因分析[D]. 济南: 山东大学, 2018.
[2] 李茜瑶, 周莹, 黄辉, 等. 疾病负担研究进展[J]. 中国公共卫生, 2018, 34(5): 777-780. LI Xiyao, ZHOU Ying, HUANG Hui, et al. Progress in disease burden researches [J]. Chinese Joural of Public Health, 2018, 34(5): 777-780.
[3] Zhou M, Wang H, Zeng X, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J]. The Lancet, 2019, 394(10204): 1145-1158.
[4] 殷鹏, 齐金蕾, 刘韫宁, 等. 2005-2017年中国疾病负担研究报告[J]. 中国循环杂志, 2019, 34(12): 1145-1154. YIN Peng, QI Jinlei, LIU Yunning, et al. Burden of disease in the Chinese population from 2005 to 2017 [J]. Chinese Circulation Journal, 2019, 34(12): 1145-1154.
[5] Vos T, Lim SS, Abbafati C, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019 [J]. The Lancet, 2020, 396(10258): 1204-1222.
[6] 王建华. 流行病学[M]. 北京: 人民卫生出版社, 2004.
[7] 丁贤彬, 毛德强, 焦艳, 等. 重庆市糖尿病患病率、死亡率及伤残调整寿命年率分析[J]. 上海交通大学学报(医学版), 2021, 41(1): 78-81. DING Xianbin, MAO Deqiang, JIAO Yan, et al. Analysis of prevalence, mortality and disability-adjusted life year rate of diabetes in Chongqing City [J]. Journal of Shanghai Jiaotong University(Medical Science), 2021, 41(1): 78-81.
[8] 方积乾. 卫生统计学[M]. 北京: 人民卫生出版社, 2008.
[9] Murray CJL, Lopez AD, World Health Organization. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020: summary [M]. Cambridge: Harvard University Press, 1996.
[10] 贾铁武, 周晓农. 疾病负担(DALY)的评价与应用[J]. 中国寄生虫学与寄生虫病杂志, 2005(5): 304-308.
[11] World Health Organization. The global burden of disease concept [EB/OL].(2003)[2021-08-10]. https: //www.who.int/quantifying_ehimpacts/publications/en/9241546204chap3.pdf.
[12] Lijana Zaletel-Kragelj and Jadranka Boikov. Methods and tools in public health[M]. Lage: Hans Jacobs Publishing Company, 2010.
[13] World Health Organization. WHO methods and data sources for global burden of disease estimates 2000-2019 [EB/OL].(2020-03)[2021-08-10]. https://www.who.int/docs/default-source/gho-documents/global-health-estimates/ghe2019_daly-methods.pdf?sfvrsn=31b25009_7.
[14] 夏毅, 龚幼龙, 顾杏元, 等. 上海市疾病负担研究[J]. 中国卫生统计, 2000(4): 20-23.
[15] 孙建东, 郭晓雷, 李维卡, 等. 应用伤残调整寿命年测量山东省居民疾病负担[J]. 中国卫生经济, 2007(8): 61-63. SUN Jiandong, GUO Xiaolei, LI Weika, et al. Measuring the burden of disease in Shandong Province: an adoption of the disability- adjusted life year [J]. Chinese Health Economics, 2007(8): 61-63.
[16] Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019(GBD 2019)results [EB/OL].(2020-10-17)[2021-08-10]. http: //ghdx.healthdata.org/gbd-results-tool.
[17] 王宁, 冯雅靖, 王宝华, 等. 1990年与2013年中国人群白血病疾病负担分析[J]. 中华流行病学杂志, 2016(6): 783-787. WANG Ning, FENG Yajing, WANG Baohua, et al. Disease burden of leukemia in the Chinese population, in 1990 and 2013 [J]. Chinese Journal of Epidemiology, 2016(6): 783-787.
[18] 杨进, 毛玮, 黄金梅, 等. 2019年广西常住居民死因监测结果分析[J]. 应用预防医学, 2020, 26(6): 453-457. YANG Jin, MAO Wei, HUANG Jinmei, et al. Analysis of causes of death among permanent residents in Guangxi in 2019 [J]. Applied Prev Med, 2020, 26(6): 453-457.
[19] 杨丽萍. 2019年定西市居民死亡特征分析[J]. 疾病预防控制通报, 2021, 36(3): 44-46.
[20] 侯爱平, 王蕊, 颜俊, 等. 2015-2019年曲阜市居民死因监测分析[J]. 预防医学论坛, 2021, 27(6): 452-456. HOU Aiping, WANG Rui, YAN Jun, et al. Analysis on death cause monitoring, Qufu city, 2015-2019 [J]. Preventive Medicine Tribune, 2021, 27(6): 452-456.
[21] 尹胜利. 德州市2011-2015年居民死因监测结果与疾病负担分析[D]. 济南: 山东大学, 2017.
[22] 中国疾病预防控制中心慢性非传染性疾病预防控制中心等. 中国死因监测数据集-2019[M]. 北京: 中国科学技术出版社, 2020.
[23] 天津经济课题组, 虞冬青, 田生, 等. 老龄化社会的机遇与挑战[J]. 天津经济, 2013(2): 27-34.
[24] 王莹, 宫舒萍, 高昌, 等. 2011-2017年济南市居民死因分析及疾病负担研究[J]. 中国慢性病预防与控制, 2019, 27(6): 468-471.
[25] 韩联宇, 王蓓. 2019年济南市历城区居民死因分析[J]. 慢性病学杂志, 2021, 22(5): 659-662. HAN Lianyu, WANG Bei, Analysis of death surveillance data of residents in Licheng district of Jinan in 2019 [J]. Chronic Pathematology J, 2021, 22(5): 659-662.
[26] 姚青奎, 王嘉祥, 李冬梅, 等. 2009-2017年宁波市城区居民死因监测分析[J]. 中国农村卫生事业管理, 2019, 39(9): 664-667. YAO Qingkui, WANG Jiaxiang, LI Dongmei, et al. Death-surveillance in the urban areas of Ningbo City from 2009 to 2017 [J]. Chinese Rural Health Service Administration, 2019, 39(9): 664-667.
[27] 隋丹丹, 孙宝志, 古嘉诚, 等. 2016年佛山市户籍居民疾病负担分析[J]. 中国慢性病预防与控制, 2018, 26(3): 238-240.
[28] 宿涌涛. 淄博市2010-2012年居民死因及疾病负担分析[D]. 唐山: 河北联合大学, 2014.
[29] 沈洪兵,李立明,叶冬青,等. 流行病学-第三卷[M]. 北京: 人民卫生出版社, 2014.
[1] 李晓琪,刘佩丽,成红,赵艳艳. 基于自注意力机制预测ICU脓毒症患者的死亡率[J]. 山东大学学报 (医学版), 2025, 63(8): 86-93.
[2] 葛雪,赵红艳. 疱疹病毒感染对重症肺炎患者临床预后及呼吸道微生态的影响[J]. 山东大学学报 (医学版), 2025, 63(6): 27-37.
[3] 李敬,郝盼盼. 急性心力衰竭患者出入院心率变化与预后相关性[J]. 山东大学学报 (医学版), 2025, 63(4): 75-82.
[4] 孙丽娜,白红艳,牛宗格,张福帅,曲仪庆. 基于SII构建及评价预测ARDS住院死亡率的在线临床风险模型[J]. 山东大学学报 (医学版), 2024, 62(7): 10-20.
[5] 王玉淼,崔晓霈,张红雨. 高龄老年新型冠状病毒肺炎患者应用抗凝治疗的短期疗效和安全性[J]. 山东大学学报 (医学版), 2024, 62(12): 21-31.
[6] 张蒙,马伟. 1990—2019年中国人类免疫缺陷病毒/获得性免疫缺陷综合征流行趋势及疾病负担[J]. 山东大学学报 (医学版), 2023, 61(5): 84-89.
[7] 许怀悦,王情,马润美,班婕,李湉湉. 温度相关的疾病负担研究进展[J]. 山东大学学报 (医学版), 2021, 59(12): 13-19.
[8] 杨珍,张艳敏,王倩倩,陈惠敏,冯强,周少英. 微小RNA-103及RNA-107表达与120例脓毒症患者临床特征及预后的关联分析[J]. 山东大学学报 (医学版), 2020, 58(12): 77-85.
[9] 刘冠邑,杨丽媛,付振涛,徐爱强,郭晓雷. 2014年山东省口腔癌发病和死亡水平分析[J]. 山东大学学报 (医学版), 2019, 57(7): 102-107.
[10] 夏宇,陈任,陈菲,李伯阳,潘新锋,高翔,李程跃,徐凌忠. 2008~2017上海市居民健康素养时序变化与孕产妇及婴幼儿死亡率的相关性[J]. 山东大学学报 (医学版), 2019, 57(12): 97-102.
[11] 曹若明,崔亮亮,姜超,景一鸣,周林,张琳,刘守钦. 济南市大气污染物O3与居民呼吸系统疾病死亡风险的时间序列分析[J]. 山东大学学报 (医学版), 2018, 56(11): 91-97.
[12] 康凤玲,丁荔洁,柳晓涓,周苗,薛付忠. 多中心健康管理人群心脑血管疾病负担分析[J]. 山东大学学报 (医学版), 2017, 55(12): 51-55.
[13] 杨柳,周林,张军,王莹,刘守钦. 2011―2015年济南市道路交通伤害死亡病例特征[J]. 山东大学学报 (医学版), 2017, 55(12): 77-81.
[14] 于绍轶, 陈远银, 刘海韵, 曲淑娜, 徐颖, 王倩倩, 王茂波. 应用DALYs评价烟台市恶性肿瘤疾病负担[J]. 山东大学学报（医学版）, 2015, 53(8): 92-96.
[15] 王宁, 丁国永, 高璐, 李杰, 李学文. 气象因素对平江县慢支敏感人群慢支死亡率的影响[J]. 山东大学学报（医学版）, 2015, 53(7): 92-96.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2018 《山东大学学报(医学版)》编辑部　
地址:山东大学科技期刊社（济南市历城区山大南路27号山东大学中心校区明德楼B座721室） 电话: 0531-88366918 E-mail: xbyxb@sdu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发