Please wait a minute...
文章检索
预防医学  2023, Vol. 35 Issue (7): 611-614    DOI: 10.19485/j.cnki.issn2096-5087.2023.07.013
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2016—2022年金东区脑卒中发病趋势分析
郑颖1,2, 陈述2, 钱棪梅1, 唐晓翠1, 李秀央1
1.浙江大学公共卫生学院大数据健康科学系,浙江 杭州 310000;
2.金华市金东区疾病预防控制中心,浙江 金华 321000
Trend in incidence of stroke in Jindong District from 2016 to 2022
ZHENG Ying1,2, CHEN Shu2, QIAN Yanmei1, TANG Xiaocui1, LI Xiuyang1
1. Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, Zhejiang 310000, China;
2. Jindong District Center for Disease Control and Prevention, Jinhua, Zhejiang 321000, China
全文: PDF(774 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 了解2016—2022年浙江省金华市金东区脑卒中发病趋势,为完善脑卒中防治策略提供依据。方法 通过浙江省慢性病监测信息系统收集2016—2022年金东区脑卒中发病资料,采用2010年全国人口普查数据进行标化,分析不同性别、年龄和疾病亚型脑卒中发病率;采用平均年度变化百分比(AAPC)分析脑卒中发病趋势。结果 2016—2022年金东区报告脑卒中发病9 159例,粗发病率为386.52/10万,标化发病率为276.75/10万;脑卒中粗发病率呈上升趋势(AAPC=3.704%,95%CI:0.792%~6.700%,P<0.05),标化发病率未见明显变化趋势(P>0.05)。男性脑卒中粗发病率为438.69/10万,高于女性的334.66/10万(χ2=14.028,P<0.05);男性脑卒中标化发病率为316.58/10万,高于女性的237.31/10万(χ2=6.985,P<0.05)。脑卒中粗发病率随年龄增长呈上升趋势(χ2=5 290.180,P<0.05),其中45~<65岁居民脑卒中粗发病率呈逐年下降趋势(AAPC=-9.135%,95%CI:-15.003%~-2.861%,P<0.05);其他年龄组居民脑卒中粗发病率均未见明显变化趋势(P>0.05)。缺血性脑卒中粗发病率为306.08/10万,高于出血性脑卒中的76.89/10万(χ2=137.184,P<0.05)。结论 2016—2022年金东区脑卒中粗发病率呈上升趋势,以缺血性脑卒中为主;男性和中老年人群是脑卒中防治的重点。
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
郑颖
陈述
钱棪梅
唐晓翠
李秀央
关键词 脑卒中发病率趋势    
AbstractObjective To investigate the trends in incidence of stroke in Jindong District, Jinhua City, Zhejiang Province from 2016 to 2022, so as to provide to the evidence for improving the stroke control strategy. Methods The incidence of stroke in Jindong District from 2016 to 2022 was collected through the Zhejiang Chronic Disease Monitoring Information System, and standardized by the data of the Chinese National Population Census in 2010. The gender-, age- and subtype-specific incidence of stroke was calculated, and the trends in stroke incidence were investigated with average annual percent change (AAPC). Results A total of 9 159 stroke cases were reported in Jindong District from 2016 to 2022, with crude incidence of 386.52/105 and standardized incidence of 276.75/105. The crude incidence of stroke appeared a tendency towards a rise (AAPC=3.704%, 95%CI: 0.792%-6.700%, P<0.05), while the standardized incidence showed no significant changing patterns (P>0.05). The crude incidence of stroke was significantly higher among men than among women (438.69/105 vs. 334.66/105; χ2=14.028, P<0.05), and the standardized incidence of stroke was significantly higher among men than among women (316.58/105 vs. 237.31/105; χ2=6.985, P<0.05). The crude incidence of stroke appeared a tendency towards a rise with age(χ2=5 290.180, P<0.05), and the crude incidence of stroke appeared a tendency towards a decline with age among residents at ages of 45 to 64 years (AAPC=-9.135%, 95%CI: -15.003% to -2.861%, P<0.05), while no significant changing patterns were found in the crude incidence of stroke among residents at other age groups (P>0.05). The crude incidence of ischemic stroke was significantly higher than that of hemorrhagic stroke (306.08/105 vs. 76.89/105; χ2=137.184, P<0.05). Conclusions The incidence of stroke appeared a tendency towards a rise in Jindong District from 2016 to 2022, with ischemic stroke as the predominant subtype. Male and middle-aged and elderly populations should be given a high priority for stroke control.
Key wordsstroke    incidence    trend
收稿日期: 2023-04-23      修回日期: 2023-06-02      出版日期: 2023-07-10
中图分类号:  R743.3  
作者简介: 郑颖,硕士研究生在读,主管医师,主要从事慢性病预防控制工作
通信作者: 李秀央,E-mail:lixiuyang@zju.edu.cn   
引用本文:   
郑颖, 陈述, 钱棪梅, 唐晓翠, 李秀央. 2016—2022年金东区脑卒中发病趋势分析[J]. 预防医学, 2023, 35(7): 611-614.
ZHENG Ying, CHEN Shu, QIAN Yanmei, TANG Xiaocui, LI Xiuyang. Trend in incidence of stroke in Jindong District from 2016 to 2022. Preventive Medicine, 2023, 35(7): 611-614.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2023.07.013      或      https://www.zjyfyxzz.com/CN/Y2023/V35/I7/611
[1] 王陇德,彭斌,张鸿祺,等.《中国脑卒中防治报告2020》概要[J].中国脑血管病杂志,2022,19(2):136-144.
[2] WANG Y J,LI Z X,GU H Q,et al.China Stroke Statistics 2019:a report from the national center for healthcare quality management in neurological diseases,China national clinical research center for neurological diseases,the Chinese stroke association,national center for chronic and non-communicable disease control and prevention,Chinese center for disease control and prevention and institute for global neuroscience and stroke collaborations[J].Stroke Vasc Neurol,2020,5(3):211-239.
[3] THORVALDSEN P,ASPLUND K,KUULASMAA K,et al.Stroke incidence,case fatality,and mortality in the WHO MONICA project.World Health Organization monitoring trends and determinants in cardiovascular disease[J].Stroke,1995,26(3):361-367.
[4] 王小红,王诚,陈左霞,等.2014—2017年金华市居民脑血管病死亡情况分析[J].中国预防医学杂志,2019,20(3):208-211.
[5] 丁晶莹,俞梅华,刘小琦.2015—2017年湖州市居民脑卒中流行状况调查及分析[J].健康研究,2019,39(5):505-509.
[6] 张瑞洁,纪威,韩丽媛,等.2012—2021年宁波市脑卒中发病和死亡趋势分析[J].预防医学,2023,35(3):224-228.
[7] 陈晓明,王杨凤,王琪,等.2015—2019年重庆市涪陵区脑卒中发病和死亡趋势分析[J].职业卫生与病伤,2021,36(5):320-324.
[8] 华钰洁,王临池,黄春妍,等.2008—2017年苏州市脑卒中发病率和死亡率变化趋势分析[J].现代预防医学,2019,46(13):2492-2496.
[9] 王一茸,蔡伟聪,彭绩,等.深圳市2008—2018年脑卒中发病情况及其变化趋势[J].中华疾病控制杂志,2021,25(10):1231-1234,1240.
[10] 张伟伟,秦绪成,李伟伟,等.2014—2020年连云港市脑卒中发病趋势分析[J].预防医学,2022,34(9):932-936,950.
[11] 马林,巢宝华,曹雷,等.2007—2017年中国脑卒中流行趋势及特征分析[J].中华脑血管病杂志(电子版),2020,14(5):253-258.
[12] 赵信星,陈洪恩,董晓,等.2010—2021年南山区脑卒中发病趋势[J].预防医学,2023,35(3):200-204.
[13] WU S,WU B,LIU M,et al.Stroke in China:advances and challenges in epidemiology,prevention,and management[J].Lancet Neurol,2019,18(4):394-405.
[1] 韩亚蓉, 韩颖颖, 蔡波, 林玲. 2013—2022年南通市甲状腺癌发病和死亡趋势分析[J]. 预防医学, 2026, 38(1): 20-25.
[2] 周凡, 王小红, 陈梦倩, 张小兰, 徐则林. 2016—2027年金华市结直肠癌发病和死亡趋势分析及预测[J]. 预防医学, 2026, 38(1): 26-30.
[3] 卢文海, 孔校杰, 宋丽霞, 卢春如, 于碧鲲, 谢延. SARIMA、Prophet与BSTS模型预测手足口病发病率的效果比较[J]. 预防医学, 2026, 38(1): 79-84.
[4] 李玉荣, 王冬飞, 高媛媛, 蒋园园, 林君英, 肖段段. 2010—2024年萧山区结直肠癌发病趋势分析[J]. 预防医学, 2025, 37(9): 927-931,936.
[5] 李君, 朱婷婷, 胡文雪. 2005—2023年温州市丙型病毒性肝炎流行特征分析[J]. 预防医学, 2025, 37(9): 932-936.
[6] 胡晓强, 刘艳, 周思凡, 张子喆, 王雨达, 沈建勇. 2014—2023年湖州市流行性感冒流行特征分析[J]. 预防医学, 2025, 37(9): 959-962.
[7] 李克, 庞志峰, 吴晓虹, 王诚, 何瑶, 唐慧玲. 2007—2024年金华市钩端螺旋体病流行特征分析[J]. 预防医学, 2025, 37(8): 818-821.
[8] 冷雪, 傅淑琴, 舒纪为, 谭启龙, 李科峰. 舟山市带状疱疹首诊病例特征分析[J]. 预防医学, 2025, 37(7): 701-704.
[9] 楚楚, 徐红, 蔡波, 韩颖颖, 穆海祥, 郑会燕, 林玲. 中老年人群脑卒中风险预测模型研究[J]. 预防医学, 2025, 37(7): 649-653.
[10] 丁哲渊, 杨研, 傅天颖, 鲁琴宝, 王心怡, 吴昊澄, 刘魁, 林君芬, 吴晨. 2024年浙江省法定传染病疫情分析[J]. 预防医学, 2025, 37(5): 433-438,442.
[11] 任露露, 顾嘉昌, 闵艺璇, 张思晨, 乔健健, 肖月, 胡静. 2016—2023年宜兴市脑卒中发病趋势分析[J]. 预防医学, 2025, 37(5): 498-502.
[12] 周沁易, 马涛, 赵跃媛, 王恒学, 吴小清, 丁松宁, 苏晶晶. 2004—2022年南京市法定传染病发病趋势分析[J]. 预防医学, 2025, 37(5): 476-480.
[13] 张小乔, 张筱碟, 赵振希, 谢鹏留, 代敏. LSTM、SARIMA和SARIMAX模型预测手足口病发病率的效果比较[J]. 预防医学, 2025, 37(3): 280-284,287.
[14] 沈敏, 郁智慧, 朱爱韬. 1992—2021年中国慢性阻塞性肺疾病发病和死亡的年龄-时期-队列分析[J]. 预防医学, 2025, 37(2): 113-117.
[15] 赵琳, 蒋龙艳, 徐斌, 唐咸艳. 南宁市五种主要恶性肿瘤发病率分析[J]. 预防医学, 2025, 37(2): 135-138.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed