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Temporal trend and attributable risk factors of stroke burden in China, 1990-2019: an analysis for the Global Burden of Disease Study 2019.

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机构: [1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. [2]Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. [3]National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. [4]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China [5]National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. [5]Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA. [6]School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA. [7]Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA [9]Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA. [8]Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China. [9]Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. Electronic address: yangyin3@mail.sysu.edu.cn.
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Understanding the temporal trend of the disease burden of stroke and its attributable risk factors in China, especially at provincial levels, is important for effective prevention strategies and improvement. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is to investigate the disease burden of stroke and its risk factors at national and provincial levels in China from 1990 to 2019.Following the methodology in the GBD 2019, the incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of stroke cases in the Chinese population were estimated by sex, age, year, stroke subtypes (ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage), and across 33 provincial administrative units in China from 1990 to 2019. Attributable mortality and DALYs of underlying risk factors were calculated by a comparative risk assessment.In 2019, there were 3·94 million (95% uncertainty interval 3·43-4·58) new stroke cases in China. The incidence rate of stroke increased by 86·0% (73·2-99·0) from 1990, reaching 276·7 (241·3-322·0) per 100 000 population in 2019. The age-standardised incidence rate declined by 9·3% (3·3-15·5) from 1990 to 2019. Among 28·76 million (25·60-32·21) prevalent cases of stroke in 2019, 24·18 million (20·80-27·87) were ischaemic stroke, 4·36 million (3·69-5·05) were intracerebral haemorrhage, and 1·58 million (1·32-1·91) were subarachnoid haemorrhage. The prevalence rate increased by 106·0% (93·7-118·8) and age-standardised prevalence rate increased by 13·2% (7·7-19·1) from 1990 to 2019. In 2019, there were 2·19 million (1·89-2·51) deaths and 45·9 million (39·8-52·3) DALYs due to stroke. The mortality rate increased by 32·3% (8·6-59·0) from 1990 to 2019. Over the same period, the age-standardised mortality rate decreased by 39·8% (28·6-50·7) and the DALY rate decreased by 41·6% (30·7-50·9). High systolic blood pressure, ambient particulate matter pollution exposure, smoking, and diet high in sodium were four major risk factors for stroke burden in 2019. Moreover, we found marked differences of stroke burden and attributable risk factors across provinces in China from 1990 to 2019.The disease burden of stroke is still severe in China, although the age-standardised incidence and mortality rates have decreased since 1990. The stroke burden in China might be reduced through blood pressure management, lifestyle interventions, and air pollution control. Moreover, because substantial heterogeneity of stroke burden existed in different provinces, improved health care is needed in provinces with heavy stroke burden.National Key Research and Development Program of China and Taikang Yicai Public Health and Epidemic Control Fund.Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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出版当年[2020]版:
大类 | 1 区 医学
小类 | 1 区 公共卫生、环境卫生与职业卫生
最新[2023]版:
大类 | 1 区 医学
小类 | 1 区 公共卫生、环境卫生与职业卫生
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出版当年[2019]版:
Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
最新[2023]版:
Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
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通讯机构: [9]Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA. [9]Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China. Electronic address: yangyin3@mail.sysu.edu.cn. [*1]School of Public Health, Sun Yat-sen University, Guangzhou, China
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