Please wait a minute...
文章检索
预防医学  2026, Vol. 38 Issue (2): 130-134,139    DOI: 10.19485/j.cnki.issn2096-5087.2026.02.005
  论著 本期目录 | 过刊浏览 | 高级检索 |
2010—2021年杨浦区4类慢性病过早死亡对期望寿命的影响
秦永发, 赵佳, 李辉, 陈静, 韩雪
上海市杨浦区疾病预防控制中心(上海市杨浦区卫生健康监督所),上海 200090
Probability of premature death due to four types of chronic diseases and its impact on life expectancy in Yangpu District from 2010 to 2021
QIN Yongfa, ZHAO Jia, LI Hui, CHEN Jing, HAN Xue
Yangpu District Center for Disease Control and Prevention (Yangpu District Institute of Public Health Supervision), Shanghai 200090, China
全文: PDF(1099 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 分析2010—2021年上海市杨浦区4类慢性病早死概率对期望寿命的影响,为制定慢性病防控策略提供依据。方法 通过上海市疾病预防控制信息管理平台死亡信息登记管理系统收集2010—2021年杨浦区户籍居民死亡资料,采用简略寿命表法计算恶性肿瘤、糖尿病、心脑血管疾病、慢性呼吸系统疾病的早死概率和期望寿命;采用平均年度变化百分比(AAPC)分析4类慢性病早死概率变化趋势;采用Arriaga分解法分析4类慢性病早死概率对期望寿命的影响。结果 杨浦区4类慢性病早死概率从2010年的9.88%下降至2021年的9.22%,总体呈下降趋势(AAPC=-0.540%,P<0.05);女性早死概率从6.71%下降至4.90%,呈下降趋势(AAPC=-2.715%,P<0.05);男性趋势无统计学意义(P>0.05)。居民期望寿命从2010年的82.52岁增加至2021年的84.50岁,总体呈上升趋势(AAPC=0.244%,P<0.05),其中男性和女性分别增加1.71和2.34岁(AAPC=0.197%和0.303%,均P<0.05)。恶性肿瘤(AAPC=-0.967%,P<0.05)和慢性呼吸系统疾病(AAPC=-3.071%,P<0.05)早死概率下降分别使期望寿命增加0.30和0.03岁,贡献率分别为12.18%和1.29%。糖尿病和心脑血管疾病的早死概率变化趋势无统计学意义(均P>0.05),分别使期望寿命降低0.05和0.10岁,贡献率分别为-2.40%和-5.05%;其中男性心脑血管疾病早死概率上升(AAPC=1.673%)使男性期望寿命降低0.22岁,女性心脑血管疾病早死概率下降(AAPC=-3.824%)使女性期望寿命增加0.03岁,贡献率分别为-13.03%和1.14%。结论 2010—2021年杨浦区4类慢性病早死概率总体呈下降趋势,期望寿命增加,需重点关注糖尿病和男性心脑血管疾病早死概率对期望寿命的负向影响。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
秦永发
赵佳
李辉
陈静
韩雪
关键词 早死概率期望寿命恶性肿瘤糖尿病心脑血管疾病慢性呼吸系统疾病    
AbstractObjective To analyze the impact of premature death due to four major chronic diseases on life expectancy in Yangpu District, Shanghai Municipality from 2010 to 2021, so as to provide the evidence for formulating chronic disease prevention and control strategies. Methods Mortality data of registered residents in Yangpu District from 2010 to 2021 were collected through the Death Information Registration and Management System of the Shanghai Municipal Disease Control and Prevention Information Management Platform. The premature death probability of malignant tumors, diabetes, cardiovascular and cerebrovascular diseases, and chronic respiratory diseases, and life expectancy of residents were calculated using the abridged life table method. Trends in premature death probability for four types of chronic diseases were analyzed using the average annual percent change (AAPC). The impact of premature death probability due to four chronic diseases on life expectancy was assessed by Arriaga's decomposition method. Results The premature death probability due to four major chronic diseases in Yangpu District decreased from 9.88% in 2010 to 9.22% in 2021, showing an overall declining trend (AAPC=-0.540%, P<0.05). Among females, the premature death probability declined from 6.71% to 4.90% (AAPC=-2.715%, P<0.05), whereas no statistically significant trend was observed in males (P>0.05). Life expectancy increased from 82.52 years in 2010 to 84.50 years in 2021, with an overall upward trend (AAPC=0.244%, P<0.05). Life expectancy rose by 1.71 years for males and 2.34 years for females (AAPC=0.197% and 0.303%,both P<0.05). Declines in premature death probability from malignant tumors (AAPC=-0.967%, P< 0.05) and chronic respiratory diseases (AAPC=-3.071%, P<0.05) contributed to gains in life expectancy of 0.30 years and 0.03 years, with contribution rates of 12.18% and 1.29%, respectively. Changes in premature death probability due to diabetes as well as cardiovascular and cerebrovascular diseases were not statistically significant (both P>0.05), resulting in reductions in life expectancy of 0.05 years and 0.10 years, with contribution rates of -2.40% and -5.05%, respectively. Notably, an increase in premature death probability due to cardiovascular and cerebrovascular diseases among males (AAPC=1.673%) contributed to a decrease of 0.22 years in male life expectancy, whereas a decrease among females (AAPC=-3.824%) contributed to an increase of 0.03 years in female life expectancy, with contribution rates of -13.03% and 1.14%, respectively. Conclusions From 2010 to 2021, Yangpu District experienced an overall decline in premature death probability due to four major chronic diseases and an increase in life expectancy. Greater attention should be paid to the negative impacts of premature death probability from diabetes as well as cardiovascular and cerebrovascular diseases among males on life expectancy.
Key wordsprobability of premature death    life expectancy    malignant tumor    diabetes    cardiovascular and cerebrovascular diseases    chronic respiratory diseases
收稿日期: 2025-09-26      修回日期: 2026-01-03     
中图分类号:  R181.2  
基金资助:杨浦区卫生健康委员会科研项目(YPGWQ202404)
作者简介: 秦永发,硕士,主管医师,主要从事慢性病流行病学研究工作
通信作者: 韩雪,E-mail:hanxues@sina.com   
引用本文:   
秦永发, 赵佳, 李辉, 陈静, 韩雪. 2010—2021年杨浦区4类慢性病过早死亡对期望寿命的影响[J]. 预防医学, 2026, 38(2): 130-134,139.
QIN Yongfa, ZHAO Jia, LI Hui, CHEN Jing, HAN Xue. Probability of premature death due to four types of chronic diseases and its impact on life expectancy in Yangpu District from 2010 to 2021. Preventive Medicine, 2026, 38(2): 130-134,139.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2026.02.005      或      https://www.zjyfyxzz.com/CN/Y2026/V38/I2/130
[1] 虞慧婷,夏天,王春芳,等.上海市居民期望寿命与健康期望寿命的差异分析[J].中华流行病学杂志,2021,42(6):1018-1023.
[2] YANG H F,FU Y L,HONG X,et al.Trend in premature mortality from four major NCDs in Nanjing,China,2007-2018 [J/OL].BMC Public Health,2021,21(1)[2026-01-03].https://doi.org/10.1186/s12889-021-12018-7.
[3] SUN L,ZHOU Y B,ZHANG M G,et al.Association of major chronic noncommunicable diseases and life expectancy in China,2019 [J/OL].Healthcare,2022,10(2)[2026-01-03].https://doi.org/10.3390/healthcare10020296.
[4] World Health Organization.Global status report on non-communicable diseases 2014[R].Geneva:WHO,2016.
[5] 邢秀雅,贺琴,程倩瑶,等.安徽省2014—2018年4类重大慢性病早死概率变化趋势及健康指标达标分析[J].中华流行病学杂志,2021,42(3):531-537.
[6] 潘东霞,谢开婿,陈玲,等.桐乡市主要慢性病早死亡概率及对期望寿命的影响[J].预防医学,2018,30(6):586-589.
[7] 陈青山,王锋,李晓珍,等.简略寿命表Excel程序的编制及在居民健康状况评价中的应用[J].南方医科大学学报,2012,32(5):627-630.
[8] 李鹏斌,刘世友,孟杨,等.2005—2021年宝山区主要慢性病过早死亡对期望寿命的影响[J].预防医学,2024,36(8):693-697.
[9] MEHREGAN M,KHOSRAVI A,FARHADIAN M,et al.The age and cause decomposition of inequality in life expectancy between Iranian provinces:application of Arriaga method[J/OL].BMC Public Health,2022,22(1)[2026-01-03].https://doi.org/10.1186/s12889-022-13092-1.
[10] 韩仁强,缪伟刚,俞浩,等.2009—2021年江苏省肿瘤登记地区恶性肿瘤发病趋势及年龄变化分析[J].预防医学,2025,37(10):979-984,990.
[11] 邓泽南,胡屹,薛婷,等.2012—2021年上海市奉贤区户籍居民4类慢性病死亡水平及早死概率变化趋势分析[J].疾病监测,2024,39(12):1584-1589.
[12] 黄敏婵,陈凤灵,黄锦航,等.2014—2021年佛山市禅城区四类慢性病早死概率及达标分析[J].华南预防医学,2025,51(2):137-141,147.
[13] 何柳,石文惠.人口老龄化对中国人群主要慢性非传染性疾病死亡率的影响[J].中华疾病控制杂志,2016,20(2):121-124,133.
[14] 陈俊,应颖,沈渊,等.2000—2019年上海市普陀区户籍居民主要慢性病早死情况及寿命损失[J].中国慢性病预防与控制,2021,29(6):464-469.
[15] GUAN W J,ZHENG X Y,CHUNG K F,et al.Impact of air pollution on the burden of chronic respiratory diseases in China:time for urgent action[J].Lancet,2016,388(10054):1939-1951.
[16] WANG L M,PENG W,ZHAO Z P,et al.Prevalence and treatment of diabetes in China,2013-2018[J].JAMA,2021,326(24):2498-2506.
[17] 新华网. 首次发病有年轻化趋势我国将建立心脑血管疾病综合防控体系[EB/OL].[2026-01-03].https://www.news.cn/politics/2023-11/22/c_1129987268.htm.
[18] GROVER S A,KAOUACHE M,REMPEL P,et al.Years of life lost and healthy life-years lost from diabetes and cardiovascular disease in overweight and obese people:a modelling study[J].Lancet Diabetes Endocrinol,2015,3(2):114-122.
[19] JAYATILLEKE N,HAYES R D,DUTTA R,et al.Contributions of specific causes of death to lost life expectancy in severe mental illness[J].Eur Psychiatr,2017,43:109-115.
[20] MARTINEZ R,LLOYD-SHERLOCK P,SOLIZ P,et al.Trends in premature avertable mortality from non-communicable diseases for 195 countries and territories,1990-2017:a population-based study[J].Lancet Glob Health,2020,8(4):511-523.
[21] LIU M,LIU S W,WANG L J,et al.Burden of diabetes,hyperglycaemia in China from to 2016:findings from the 1990 to 2016,global burden of disease study[J].Diabetes Metab,2019,45(3):286-293.
[1] 仲玮, 李伟伟, 相璐, 柴莉莉, 董建梅, 马昭君, 秦绪成, 张伟伟. 2011—2029年连云港市慢性呼吸系统疾病死亡趋势及预测研究[J]. 预防医学, 2026, 38(2): 181-186.
[2] 吴成慧, 彭艳红, 张可, 朱维晔, 邓亮, 谭玲玲, 瞿丹丹, 米秋香. 中青年2型糖尿病患者益处发现的影响因素分析[J]. 预防医学, 2026, 38(1): 31-35.
[3] 陆杰, 张柯, 吴雅, 王玥, 张玥, 陆叶, 吴周理, 任志华, 黄艺文. 肥胖指标预测2型糖尿病患者心脑血管疾病的效果比较[J]. 预防医学, 2025, 37(9): 886-891.
[4] 张凯慧, 李婉玲, 王彦兴, 安愿. 老年2型糖尿病患者心理灵活性、运动自我效能在衰弱与社会疏离间的中介效应分析[J]. 预防医学, 2025, 37(8): 783-788.
[5] 刘明坤, 张丰香, 韩彩静, 王霞, 陈世坤, 金梅, 孙金月. 2型糖尿病患者周围神经病变风险预测模型研究[J]. 预防医学, 2025, 37(7): 692-696.
[6] 俞丹丹, 杨加丽, 张雅萍, 许慧琳, 何丹丹, 李俊. 2型糖尿病共病患者空腹血糖波动轨迹的影响因素研究[J]. 预防医学, 2025, 37(6): 562-567,572.
[7] 李美琳, 周梦姣, 吴佳芸, 喻喆, 孔利萍. 老年男性2型糖尿病患者合并肌少症的影响因素分析[J]. 预防医学, 2025, 37(6): 588-592.
[8] 朱颖, 郑添. 2013—2023年嘉善县居民期望寿命变化[J]. 预防医学, 2025, 37(6): 598-602.
[9] 陆丽君, 袁磊, 李殿江, 卢昆, 朱怡萱, 王志勇, 刘思浚. 老年2型糖尿病患者自我效能、自我管理行为在抑郁症状与血糖控制间的中介效应分析[J]. 预防医学, 2025, 37(5): 455-459.
[10] 史美琦, 殷玉华, 汪旭虹, 付元庆, 苗泽蕾, 胡文胜. 妊娠糖尿病孕妇植物性饮食模式与孕期体重增加的关联研究[J]. 预防医学, 2025, 37(5): 503-506.
[11] 蒋舒頔, 郭婷, 凌军军, 任婕, 张亮. 初次性行为年龄与妇科恶性肿瘤的孟德尔随机化研究[J]. 预防医学, 2025, 37(5): 516-520.
[12] 王英杰 综述, 孙高峰, 审校. 2型糖尿病预测模型研究进展[J]. 预防医学, 2025, 37(4): 369-372,377.
[13] 李倩, 杨柏林, 陈积标, 尹寒露, 许祝平, 孟晓军. 无锡市50岁及以上HIV/AIDS抗病毒治疗病例自报慢性病资料分析[J]. 预防医学, 2025, 37(4): 390-394.
[14] 孙霞, 但玲英, 郑鹏, 陈薪伊. 2型糖尿病患者脂肪因子与糖尿病视网膜病变的关联研究[J]. 预防医学, 2025, 37(3): 248-252.
[15] 陈海苗, 马岩, 刘明奇, 马珊珊, 李军, 方益荣. 儿童期肥胖与2型糖尿病、冠心病的孟德尔随机化研究[J]. 预防医学, 2025, 37(3): 307-311.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed