Please wait a minute...
文章检索
预防医学  2018, Vol. 30 Issue (2): 134-138    DOI: 10.19485/j.cnki.issn2096-5087.2018.02.007
  论著 本期目录 | 过刊浏览 | 高级检索 |
奉化区主要慢性非传染性疾病早死概率分析
王海明, 王春丽, 冯伟
宁波市奉化区疾病预防控制中心,浙江 宁波 315500
Premature mortality caused by four main non-communicable diseases in Fenghua District
WANG Hai-ming, WANG Chun-li, FENG Wei
The Center for Disease Control and Prevention of Fenghua District ,Ningbo,Zhejiang 315500,China
全文: PDF(532 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 了解宁波市奉化区2010—2015年四类主要慢性非传染性疾病(慢性病)早死概率及趋势,为实现“健康中国2030”重大慢性病控制目标提供数据支持。方法 从浙江省慢性病监测信息管理系统导出2010—2015年宁波市奉化区户籍居民死亡个案数据,应用寿命表法计算早死概率,分析四类慢性病早死概率的趋势以及性别和地区差异,并以“健康中国2030”重大慢性病早死概率目标评价四类慢性病早死概率下降空间。结果 心脑血管疾病(2.60%~3.82%)和恶性肿瘤(7.03%~9.20%)的早死概率高于慢性呼吸系统疾病(0.18%~0.48%)和糖尿病(0.17%~0.44%),早死概率男性(13.71%~16.57%)高于女性(5.92%~9.41%),早死概率最高的前三位乡镇/街道为大堰镇(14.62%)、松岙镇(12.83%)和西坞街道(12.66%)。2010—2015年宁波市奉化区四类慢性病早死概率呈下降趋势(P<0.05),由12.05%下降到10.21%;四类慢性病年均下降速度为3.26%,女性年均下降速度为6.56%,快于男性的1.32%。以2015年为基准计算,男性四类慢性病早死概率距离2030年控制目标(9.60%)尚有4.11%的下降空间,女性距离2030年控制目标(4.58%)尚有1.96%的下降空间。结论 宁波市奉化区四类慢性病早死概率呈逐年下降趋势,男性早死概率高于女性,且下降速度较慢,不同乡镇/街道居民四类慢性病早死概率及其变化速度存在较大差异。
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
王海明
王春丽
冯伟
关键词 慢性非传染性疾病早死概率糖尿病恶性肿瘤心脑血管疾病慢性呼吸系统疾病    
AbstractObjective To analyze the probability of premature mortality and temporal trend caused by four main non-communicable diseases(NCDs)in Fenghua District of Ningbo City from 2010 to 2015,and to provide data support for achieving Health China 2030 reduction target. Methods The data of deaths were from chronic disease surveillance information management system in Zhejiang Province from 2010 to 2015. According to the life-table method of calculating premature mortality probability,the premature mortality of four main NCDs by different gender,years and regions was analyzed and compared. Taking “Health China 2030” goal of reduction 30% as the standard for the probability of premature mortality caused by major NCDs to evaluate the descent space of premature mortality. Results The probability of premature mortality of cardiovascular and cerebrovascular diseases and cancer was higher than that of chronic respiratory disease and diabetes,and the probability of premature mortality in men was higher than that in women. The top three villages and towns in terms of probability of prematuremortality caused by four main NCDs were Dayan town,Songao town and Xiwu Street in turn. From 2010 to 2015,the probabilities of premature mortality in four main NCDs were all declined consistently in Fenghua District of Ningbo City(P<0.05),and the total of four main NCDs decreased from 12.05% to 10.21%. The probability of premature mortality of four main NCDs declined by 3.26% a year on average with higher decreasing in women(6.56%)than that in men(1.32%). Compared with 2015 baseline,the premature mortality of four NCDs in men would decrease by 4.11% to reach 2030 goal(9.60%),and the probability of premature mortality four main NCDs in women would decrease by 1.96% to reach the 2030 goal(4.58%). Conclusion s The probabilities of premature mortality in four main NCDs were all declined consistently in Fenghua District of Ningbo City. Compared with women,the men had higher probabilities and declined slower,and there were significant different in probabilities of premature mortality and their change speed among villages and towns.
Key wordsNon-communicable diseases    Premature mortality    Health China 2030
收稿日期: 2017-09-01      出版日期: 1900-01-01
ZTFLH:  R181.3  
通信作者: 王海明,E-mail:1322066928@qq.com   
作者简介: 王海明,硕士,主任医师,主要从事疾病预防与控制工作
引用本文:   
王海明, 王春丽, 冯伟. 奉化区主要慢性非传染性疾病早死概率分析[J]. 预防医学, 2018, 30(2): 134-138.
WANG Hai-ming, WANG Chun-li, FENG Wei. Premature mortality caused by four main non-communicable diseases in Fenghua District. Preventive Medicine, 2018, 30(2): 134-138.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2018.02.007      或      http://www.zjyfyxzz.com/CN/Y2018/V30/I2/134
[1] ZHOU M,WANG H,ZHU J,et al. Cause-specific mortality for 240 causes in China during 1990-2013:a systematic subnational analysis for the Global Burden of Disease Study 2013[J]. Lancet,2016,387(10015):251-272.
[2] 朱银潮,王永,李辉,等. 常见慢性病对患者生活质量的影响[J]. 浙江预防医学,2016,28(1):24-27.
[3] World Health Organization. Global status report on non-communicable diseases 2014[EB/OL].[2016-08-09]. http://www.who.int/nmh/publications/ncd-status-report-2014/en/.
[4] BONITA R,MAGNUSSON R,BOVET P,et al. Country actions to meet UN commitments on non-communicable diseases:a stepwise approach[J]. Lancet,2013,381(9866):575-584.
[5] LISTED N. 65th World Health Assembly closes with new global health measures[J]. Cent Eur J Public Health,2012,20(2):163-164.
[6] 新华社. “健康中国2030”规划纲要[EB/OL].[2016-12-19]. http://news.xinhuanet.com/health/2016-10/25/c_1119786029_4.htm.
[7] GBD 2015 Mortality and Cause of Death Collaborations. Global,regional,and national life expectancy,all-cause and cause-specific mortality for 249 causes of death,1980-2015:a systematic analysis for the Global Burden of Disease Study 2015[J]. Lancet,2016, 388 (10053):1459-1544.
[8] 孙振球. 医学统计学[M]. 3版. 北京:人民卫生出版社,2011:86.
[9] 曾新颖,李镒冲,刘世炜,等. 1990—2015年中国四类慢性病早死概率与“健康中国2030”下降目标分析[J]. 中华预防医学杂志,2017,51(3):209-214.
[10] KONTIS V,MATHERS C D,REHM J,et al. Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target:a modelling study[J]. Lancet,2014, 384(9941):427-437.
[11] LI Y C,ZENG X Y,LIU J M,et al. Can China achieve a one-third reduction in premature mortality from non-communicable diseases by 2030?[J]. BMC Medicine,2017,15(1):132.
[12] 张颖,胡碧波,苗超. 余姚市居民主要慢性病死因分析[J]. 预防医学,2017,29(1):66-69.
[13] 李刚,苏健婷,韦再华,等.北京市2010—2015年慢性非传染性疾病早死概率研究[J]. 中华流行病学杂志,2016,37(9):1268-1271.
[1] 宋晓宇, 徐文妹, 陈静, 曹瑾, 俞海萍. 慢性非传染性疾病管理模式研究进展[J]. 预防医学, 2019, 31(9): 901-905.
[2] 李萍萍, 袁芳, 吴锋, 叶莉霞. 2型糖尿病患者流感疫苗接种综合干预效果评价[J]. 预防医学, 2019, 31(9): 930-932.
[3] 陈向宇, 钟节鸣, 郭丽花, 赵鸣, 徐春晓, 陆凤, 李辉, 高欣, 方乐. 社区管理糖尿病患者抑郁、焦虑状况及影响因素研究[J]. 预防医学, 2019, 31(7): 683-687.
[4] 李迎君, 朱家豪, 范佳耀, 范春红. 咖啡摄入与东亚人群恶性肿瘤死亡风险关联的Meta分析[J]. 预防医学, 2019, 31(6): 549-553.
[5] 汪亚男, 宋红玲, 顾艳荭, 徐娟兰. 老年2型糖尿病患者合并肌少症影响因素分析[J]. 预防医学, 2019, 31(6): 582-585.
[6] 楚丽萍, 张亚丽, 郭静, 崔赏谦, 王军锋, 候津杰, 乔钦增. 2型糖尿病并发脑卒中患者抑郁及影响因素分析[J]. 预防医学, 2019, 31(6): 586-588.
[7] 潘琴琴, 俞梅华, 蔡道盈, 赵妍. 吴兴区2型糖尿病患者家庭医生签约服务效果评价[J]. 预防医学, 2019, 31(5): 499-502.
[8] 胡云卿, 朱洪挺, 胡春生, 陈璐, 徐玲巧. 永康市糖尿病患者死亡特征分析[J]. 预防医学, 2019, 31(2): 174-176.
[9] 黄文,李金,陈奇峰. 绍兴市老年人群慢性病危险因素聚集性分析[J]. 预防医学, 2019, 31(11): 1112-1115.
[10] 胡如英, 王勇, 陈凯伦, 何青芳, 潘劲. 浙江省农村2型糖尿病患者血脂水平及控制现状[J]. 预防医学, 2019, 31(11): 1091-1096.
[11] 侯秀丽, 陈丽芬, 包妮娜, 巨蓓. 老年2型糖尿病患者自我管理小组干预效果评价[J]. 预防医学, 2019, 31(10): 1065-1067.
[12] 向宇凌, 骆文, 鲁刚. 2型糖尿病患者正念减压心理干预效果评价[J]. 预防医学, 2019, 31(10): 1068-1070.
[13] 胡瑜洁, 姚晓霖, 钟涛. 血糖波动对糖尿病大鼠肝脏TLR4和TNF-α表达的影响[J]. 预防医学, 2019, 31(1): 15-19.
[14] 陈国伶, 沈勤, 卢晓杰, 王岚, 赵舒薇. 2型糖尿病患者医养护一体化签约服务管理效果评价[J]. 预防医学, 2019, 31(1): 100-102.
[15] 费方荣,俞敏,钟节鸣,潘劲,武海滨,龚巍巍,王蒙,王浩,胡如英. 2016年浙江省居民心脑血管疾病死亡及去死因期望寿命分析[J]. 预防医学, 2018, 30(9): 865-869.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed