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中国居民1990 — 2019年缺血性脑卒中发病和死亡趋势年龄 – 时期 – 队列分析

覃心如 邹伟 王穆

覃心如, 邹伟, 王穆. 中国居民1990 — 2019年缺血性脑卒中发病和死亡趋势年龄 – 时期 – 队列分析[J]. 中国公共卫生, 2023, 39(8): 1024-1031. doi: 10.11847/zgggws1139489
引用本文: 覃心如, 邹伟, 王穆. 中国居民1990 — 2019年缺血性脑卒中发病和死亡趋势年龄 – 时期 – 队列分析[J]. 中国公共卫生, 2023, 39(8): 1024-1031. doi: 10.11847/zgggws1139489
QIN Xinru, ZOU Wei, WANG Mu. Incidence and mortality of ischemic stroke in China, 1990 – 2019: an age-period-cohort analysis[J]. Chinese Journal of Public Health, 2023, 39(8): 1024-1031. doi: 10.11847/zgggws1139489
Citation: QIN Xinru, ZOU Wei, WANG Mu. Incidence and mortality of ischemic stroke in China, 1990 – 2019: an age-period-cohort analysis[J]. Chinese Journal of Public Health, 2023, 39(8): 1024-1031. doi: 10.11847/zgggws1139489

中国居民1990 — 2019年缺血性脑卒中发病和死亡趋势年龄 – 时期 – 队列分析

doi: 10.11847/zgggws1139489
基金项目: 2020年度湖南省科技创新重大项目(2020SK1012);2020年度湖南省临床医疗技术创新引导项目(2020SK51905);2021年度南华大学临床医学研究“4310”计划培育项目[衡医发(2021)01号]
详细信息
    作者简介:

    覃心如(1997 – ),硕士在读,研究方向:心脑血管病流行病学

    通信作者:

    邹伟,E-mail:zouwei415@163.com

    王穆,E-mail:wangmu2009@163.com

  • 中图分类号: R 743.3

Incidence and mortality of ischemic stroke in China, 1990 – 2019: an age-period-cohort analysis

More Information
  • 摘要:   目的  了解中国居民1990 — 2019年缺血性脑卒中发病和死亡趋势,为我国缺血性脑卒中的防控提供参考依据。  方法  收集2019年全球疾病负担研究(GBD 2019)数据库中1990 — 2019年中国居民缺血性脑卒中发病和死亡相关数据,采用Joinpoint回归模型分析缺血性脑卒中发病率和死亡率变化趋势,并应用年龄 – 时期 – 队列(APC)模型分析缺血性脑卒中发病和死亡风险的年龄、时期和出生队列效应。  结果  中国总体居民、男性居民和女性居民缺血性脑卒中粗发病率分别从1990年的74.26/10万、64.58/10万和84.55/10万上升至2019年的201.74/10万、183.60/10万和220.59/10万,标化发病率分别从1990年的107.49/10万、 101.14/10万和113.72/10万上升至2019年的144.78/10万、141.10/10万和149.44/10万,标化发病率的平均年度变化百分比(AAPC)分别为1.04%、1.16%和0.94%(均P < 0.001);中国总体居民、男性居民和女性居民缺血性脑卒中粗死亡率分别从1990年的32.08/10万、32.09/10万和32.06/10万上升至2019年的72.37/10万、79.89/10万和64.55/10万,中国总体居民和女性居民标化死亡率分别从1990年的64.32/10万和56.13/10万下降至2019年的62.18/10万和48.26/10万,男性居民标化死亡率从1990年的77.34/10万上升至2019年的83.55/10万,中国总体居民标化死亡率的AAPC为 – 0.12%(P = 0.463),男性居民和女性居民标化死亡率的AAPC分别为0.29%和 – 0.50%(均P < 0.05)。APC模型分析结果显示,中国35~89岁男性居民和45~89岁女性居民缺血性脑卒中发病率的局部漂移值均 > 0,75~94岁男性居民缺血性脑卒中死亡率的局部漂移值均 > 0;在同一出生队列中,男性居民和女性居民缺血性脑卒中发病率和死亡率的纵向年龄曲线均呈上升趋势;男性居民缺血性脑卒中发病风险在1990 — 2004年各时期组保持稳定,2005 — 2009年缓慢上升,在2010 — 2019年各时期组中快速上升;女性居民缺血性脑卒中发病风险在1990 — 2004年各时期组呈下降趋势,2005 — 2009年缓慢上升,2010 — 2014年发病风险快速上升,2015 — 2019年上升趋势极为平缓几乎保持平稳。中国男性和女性居民1990 — 2019年缺血性脑卒中死亡风险均随时期推移整体呈下降趋势,死亡风险均在2015 — 2019年达到最小值;中国男性和女性居民1990 — 2019年缺血性脑卒中发病风险均随出生队列推移呈先上升后下降的趋势,男性和女性居民发病风险的出生队列效应峰值分别出现在1973 — 1977年和1958 — 1962年;男性和女性居民1990 — 2019年缺血性脑卒中死亡风险均随出生队列推移整体呈下降趋势。  结论  中国居民1990 — 2019年缺血性脑卒中发病率呈上升趋势,年龄、时期和出生队列效应对不同性别居民发病风险均有一定程度影响;虽然死亡风险的时期和队列效应呈下降趋势,但由于持续增加的年龄效应使我国居民尤其是老年男性居民实际死亡负担较重。
  • 图  1  中国不同性别居民1990 — 2019年缺血性脑卒中发病率和死亡率的局部漂移值变化情况

    Figure  1.  Changes in local drift values of ischemic stroke incidence and mortality among Chinese residents by gender, 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    图  2  中国不同性别居民1990 — 2019年缺血性脑卒中发病率和死亡率的年龄变化趋势

    Figure  2.  Age-specific trends in ischemic stroke incidence and mortality among Chinese residents by gender, 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    图  3  中国不同性别居民1990 — 2019年缺血性脑卒中发病和死亡风险的时期效应

    Figure  3.  Period effect on risk of ischemic stroke incidence and death by gender in Chinese residents, 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    图  4  中国不同性别居民1990 — 2019年缺血性脑卒中发病和死亡风险的队列效应

    Figure  4.  Cohort effect on risk of ischemic stroke incidence and death by sex in Chinese residents 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    表  1  中国居民1990 — 2019年缺血性脑卒中发病情况

    Table  1.   Year-specific crude and standardized incidence of ischemic stroke for all, male and female Chinese population, 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    年份总体男性女性
    发病数粗发病率
    (1/10万)
    标化发病率
    (1/10万)
    发病数粗发病率
    (1/10万)
    标化发病率
    (1/10万)
    发病数粗发病率
    (1/10万)
    标化发病率
    (1/10万)
    199087894874.26107.4939406764.58101.1448488184.55113.72
    199190491775.50107.8540783665.94101.7449708285.70113.87
    199293198376.86108.3042195167.36102.3951003287.01114.14
    199395999278.32108.8043621168.84103.0352378188.46114.52
    199498970079.93109.3245112270.44103.6753857790.09114.97
    1995102013081.61109.8546595372.06104.2755417691.84115.46
    1996105418983.59110.5748165573.85104.9157253494.03116.31
    1997109210185.87111.5849818675.78105.6859391496.67117.62
    1998113250188.34112.7051521077.81106.5261729299.60119.09
    1999117485190.97113.7653356580.06107.40641286102.59120.42
    2000121462193.40114.5855164982.29108.26662971105.21121.31
    2001125401895.82115.1657094384.72109.16683076107.59121.69
    2002129281198.21115.6259083287.25110.13701979109.81121.81
    20031332010100.64116.0461122689.86111.10720785112.04121.85
    20041374611103.36116.4763340192.74112.01741210114.56121.94
    20051419401106.24117.0165561095.63112.80763790117.42122.27
    20061482325110.46118.2968340799.31113.75798919122.20123.88
    20071566259116.21120.60717504103.86115.09848756129.19127.13
    20081662746122.84123.43755644108.97116.76907102137.41131.09
    20091765681129.91126.25797895114.65118.67967786145.92134.83
    20101859870136.30128.59839553120.22120.751020317153.15137.41
    20111955206142.74130.63885715126.41123.191069491159.83139.08
    20122057240149.55132.84936835133.21126.051120406166.63140.72
    20132164559156.64135.08990990140.35129.061173569173.66142.28
    20142278688164.19137.201048739147.97131.951229949181.12143.70
    20152389899171.37139.061104112155.11134.451285787188.33144.93
    20162509358178.88140.691164268162.66136.661345090195.76145.88
    20172626416186.16142.041222175169.86138.421404241203.13146.73
    20182743089193.57143.331275307176.52139.781467782211.29147.90
    20192869438201.74144.781330759183.60141.101538678220.59149.44
    下载: 导出CSV

    表  2  中国居民1990 — 2019年缺血性脑卒中死亡情况

    Table  2.   Year-specific crude and standardized mortality of ischemic stroke for all, male and female Chinese population, 1990 – 2019 based on the data from Global Burden of Disease Study 2019

    年份总体男性女性
    死亡数粗死亡率
    (1/10)
    标化死亡率
    (1/10万)
    死亡数粗死亡率
    (1/10)
    标化死亡率
    (1/10万)
    死亡数粗死亡率
    (1/10)
    标化死亡率
    (1/10万)
    199037969732.0864.3219580732.0977.3418389032.0656.13
    199138908532.4663.9020200032.6677.2218708632.2655.48
    199240231033.1864.1620989433.5177.8119241632.8355.49
    199341617033.9564.5221687334.2278.1519929733.6655.88
    199442314234.1764.0222154834.5977.6920159433.7255.22
    199543438934.7564.0223036535.6378.3220402433.8154.58
    199645209535.8564.6924000336.8079.0621209234.8355.11
    199746598436.6464.6624783837.7079.2321814635.5154.94
    199848327637.7064.8925852139.0480.1422475536.2654.73
    199951158139.6166.4327091140.6581.2324067038.5056.56
    200055011842.3068.8628962243.2183.3626049741.3459.05
    200158034244.3470.1230532945.3185.0027501343.3260.12
    200260762346.1670.5231847147.0385.3628915345.2360.70
    200363848848.2471.1333382849.0885.8730466047.3661.42
    200467053850.4272.1235347351.7687.9331706549.0061.74
    200568426551.2271.5036309952.9688.1532116649.3760.66
    200667377950.2168.1735685351.8684.1831692648.4857.87
    200767915950.3966.3536281652.5283.1031634348.1555.72
    200870411652.0266.3938031454.8584.4632380249.0554.98
    200974048554.4867.3440428658.0986.9633619950.6955.02
    201078169057.2968.6643048561.6589.6535120652.7255.45
    201180991259.1368.6344818063.9790.6836173254.0655.01
    201282293459.8266.9946435366.0391.2935858153.3352.35
    201384717561.3166.2448000867.9891.0736716754.3351.40
    201487305762.9165.3549629970.0289.8137675855.4850.48
    201589465064.1564.1651190971.9188.9638274156.0649.05
    201693004466.3063.8753165774.2888.5839838757.9848.76
    201796283468.2563.3254657375.9686.5541626160.2248.72
    201899139869.9662.5155854477.3184.2443285462.3148.49
    2019102931872.3762.1857905479.8983.5545026464.5548.26
    下载: 导出CSV
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  • 接收日期:  2022-06-17
  • 录用日期:  2023-02-22
  • 修回日期:  2022-09-26
  • 网络出版日期:  2023-09-06
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