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Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan
Subarachnoid hemorrhage (SAH) remains a serious public health problem worldwide, especially in economically developed regions/countries. This study intends to thoroughly analyze the incidence, mortality, and disability-adjusted life years (DALYs) rate of SAH at the global, regional, and national lev...
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Published in: | BMC public health 2025-01, Vol.25 (1), p.27-9, Article 27 |
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description | Subarachnoid hemorrhage (SAH) remains a serious public health problem worldwide, especially in economically developed regions/countries. This study intends to thoroughly analyze the incidence, mortality, and disability-adjusted life years (DALYs) rate of SAH at the global, regional, and national levels. This study focused on the differences in SAH incidence between China and Japan from 1990 to 2019, and projected global, Chinese, and Japanese SAH incidence rates until 2030.
Data on the disease burden owing to SAH from 1990 to 2019 were obtained from the Global Burden of Disease (GBD) Study 2019. linear regression analysis was used to calculate the estimated annual percentage change (EAPC) and linear regression method was used to calculate the average annual percentage change (AAPC). Bayesian age-period-cohort (BAPC) model was used to predict the disease burden from 2020 to 2030.
Globally, age-standardised incidence, mortality, and DALYs rates was declined from 1990 to 2019. In 1990-2019, the incidence of SAH decreased in China, while it increased in Japan, especially among middle-aged and elderly women. Projections suggest that the global incidence of SAH will decrease by 2.06% in 2030, with an increase of 6.24% in China and 13.82% in Japan, with the highest increase among Japanese women being 16.19%.
Global SAH incidence, mortality, and DALYs rates declined over the 1990-2019 period, with regional/national SAH mortality and DALYs rates negatively correlated with socio-demographic index (SDI), while SAH incidence was positively correlated with SDI. The incidence of SAH decreased in China and increased in Japan during this period. The predictions show that over the next 10 years, while the incidence of SAH continues to decline globally, the incidence of SAH in China and Japan has increased. Thus, SAH remains a serious disease burden that requires early intervention targeting risk factors and populations at risk that may have increased because of economic development. |
doi_str_mv | 10.1186/s12889-024-21227-9 |
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Data on the disease burden owing to SAH from 1990 to 2019 were obtained from the Global Burden of Disease (GBD) Study 2019. linear regression analysis was used to calculate the estimated annual percentage change (EAPC) and linear regression method was used to calculate the average annual percentage change (AAPC). Bayesian age-period-cohort (BAPC) model was used to predict the disease burden from 2020 to 2030.
Globally, age-standardised incidence, mortality, and DALYs rates was declined from 1990 to 2019. In 1990-2019, the incidence of SAH decreased in China, while it increased in Japan, especially among middle-aged and elderly women. Projections suggest that the global incidence of SAH will decrease by 2.06% in 2030, with an increase of 6.24% in China and 13.82% in Japan, with the highest increase among Japanese women being 16.19%.
Global SAH incidence, mortality, and DALYs rates declined over the 1990-2019 period, with regional/national SAH mortality and DALYs rates negatively correlated with socio-demographic index (SDI), while SAH incidence was positively correlated with SDI. The incidence of SAH decreased in China and increased in Japan during this period. The predictions show that over the next 10 years, while the incidence of SAH continues to decline globally, the incidence of SAH in China and Japan has increased. Thus, SAH remains a serious disease burden that requires early intervention targeting risk factors and populations at risk that may have increased because of economic development.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-024-21227-9</identifier><identifier>PMID: 39754116</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Activities of daily living ; Adolescent ; Adult ; Age ; Aged ; Aged, 80 and over ; Bayes Theorem ; Bayesian analysis ; Care and treatment ; China ; China - epidemiology ; Cost of Illness ; Diagnosis ; Disability-Adjusted Life Years ; Disease ; Disease burden ; Economic development ; Female ; Forecasting ; Global Burden of Disease ; Global Health - statistics & numerical data ; Health aspects ; Hemorrhage ; High income ; Humans ; Incidence ; Japan ; Japan - epidemiology ; Male ; Middle Aged ; Mortality ; Population ; Prediction ; Public health ; Regional development ; Regions ; Regression analysis ; Risk factors ; Software ; Subarachnoid hemorrhage ; Subarachnoid Hemorrhage - epidemiology ; Subarachnoid Hemorrhage - mortality ; Trends ; Young Adult</subject><ispartof>BMC public health, 2025-01, Vol.25 (1), p.27-9, Article 27</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2025 BioMed Central Ltd.</rights><rights>2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c389t-749c680819e0374a02ca2b2835d6fa33b7d539a2a3611c1cfa610dca12e8a4ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3152694066?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27843,27901,27902,36989,36990,44566</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39754116$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Peng-Fei</creatorcontrib><creatorcontrib>Xing, Chen-Jie</creatorcontrib><creatorcontrib>Gao, Yong-Yue</creatorcontrib><creatorcontrib>Hang, Chun-Hua</creatorcontrib><creatorcontrib>Zhuang, Zong</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><title>Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Subarachnoid hemorrhage (SAH) remains a serious public health problem worldwide, especially in economically developed regions/countries. This study intends to thoroughly analyze the incidence, mortality, and disability-adjusted life years (DALYs) rate of SAH at the global, regional, and national levels. This study focused on the differences in SAH incidence between China and Japan from 1990 to 2019, and projected global, Chinese, and Japanese SAH incidence rates until 2030.
Data on the disease burden owing to SAH from 1990 to 2019 were obtained from the Global Burden of Disease (GBD) Study 2019. linear regression analysis was used to calculate the estimated annual percentage change (EAPC) and linear regression method was used to calculate the average annual percentage change (AAPC). Bayesian age-period-cohort (BAPC) model was used to predict the disease burden from 2020 to 2030.
Globally, age-standardised incidence, mortality, and DALYs rates was declined from 1990 to 2019. In 1990-2019, the incidence of SAH decreased in China, while it increased in Japan, especially among middle-aged and elderly women. Projections suggest that the global incidence of SAH will decrease by 2.06% in 2030, with an increase of 6.24% in China and 13.82% in Japan, with the highest increase among Japanese women being 16.19%.
Global SAH incidence, mortality, and DALYs rates declined over the 1990-2019 period, with regional/national SAH mortality and DALYs rates negatively correlated with socio-demographic index (SDI), while SAH incidence was positively correlated with SDI. The incidence of SAH decreased in China and increased in Japan during this period. The predictions show that over the next 10 years, while the incidence of SAH continues to decline globally, the incidence of SAH in China and Japan has increased. Thus, SAH remains a serious disease burden that requires early intervention targeting risk factors and populations at risk that may have increased because of economic development.</description><subject>Activities of daily living</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Care and treatment</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Cost of Illness</subject><subject>Diagnosis</subject><subject>Disability-Adjusted Life Years</subject><subject>Disease</subject><subject>Disease burden</subject><subject>Economic development</subject><subject>Female</subject><subject>Forecasting</subject><subject>Global Burden of Disease</subject><subject>Global Health - statistics & numerical data</subject><subject>Health aspects</subject><subject>Hemorrhage</subject><subject>High income</subject><subject>Humans</subject><subject>Incidence</subject><subject>Japan</subject><subject>Japan - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Population</subject><subject>Prediction</subject><subject>Public health</subject><subject>Regional development</subject><subject>Regions</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Software</subject><subject>Subarachnoid hemorrhage</subject><subject>Subarachnoid Hemorrhage - epidemiology</subject><subject>Subarachnoid Hemorrhage - mortality</subject><subject>Trends</subject><subject>Young Adult</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkktv3CAUha2qVZOm_QNdVJa66SJOuYANLEejPlJF6qZZo2seM4w8MAV7kX8fMpOmD1UsQFffORcup2neArkCkMPHAlRK1RHKOwqUik49a86BC-go7-XzP85nzatSdoSAkD192ZwxJXoOMJw3t6uI010JpcVo20N2Npg5pNgm35ZlxIxmG1Ow7dbtU85b3Lh2XLJ1sQ2x3UxpxOmyXW9DxMujxTc8YHzdvPA4Fffmcb9obj9_-rH-2t18_3K9Xt10hkk1d4IrM0giQTnCBEdCDdKRStbbwSNjo7A9U0iRDQAGjMcBiDUI1Enk3rOL5vrkaxPu9CGHPeY7nTDoYyHljcY8BzM5TRQTvbRKWc44GZwEKxT1iqHiTo6yen04eR1y-rm4Mut9KMZNE0aXlqIZ9MB7Lhir6Pt_0F1ach3kkaKDqg2G39QGa_8QfZrrNB9M9UrS-l-KKl6pq_9QdVm3DyZF50Ot_yWgJ4HJqZTs_NO7geiHXOhTLnTNhT7mQqsqevd442XcO_sk-RUEdg_7sK7k</recordid><startdate>20250103</startdate><enddate>20250103</enddate><creator>Ding, Peng-Fei</creator><creator>Xing, Chen-Jie</creator><creator>Gao, Yong-Yue</creator><creator>Hang, Chun-Hua</creator><creator>Zhuang, Zong</creator><creator>Li, Wei</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TQ</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20250103</creationdate><title>Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan</title><author>Ding, Peng-Fei ; Xing, Chen-Jie ; Gao, Yong-Yue ; Hang, Chun-Hua ; Zhuang, Zong ; Li, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-749c680819e0374a02ca2b2835d6fa33b7d539a2a3611c1cfa610dca12e8a4ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Activities of daily living</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Care and treatment</topic><topic>China</topic><topic>China - epidemiology</topic><topic>Cost of Illness</topic><topic>Diagnosis</topic><topic>Disability-Adjusted Life Years</topic><topic>Disease</topic><topic>Disease burden</topic><topic>Economic development</topic><topic>Female</topic><topic>Forecasting</topic><topic>Global Burden of Disease</topic><topic>Global Health - statistics & numerical data</topic><topic>Health aspects</topic><topic>Hemorrhage</topic><topic>High income</topic><topic>Humans</topic><topic>Incidence</topic><topic>Japan</topic><topic>Japan - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Population</topic><topic>Prediction</topic><topic>Public health</topic><topic>Regional development</topic><topic>Regions</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Software</topic><topic>Subarachnoid hemorrhage</topic><topic>Subarachnoid Hemorrhage - epidemiology</topic><topic>Subarachnoid Hemorrhage - mortality</topic><topic>Trends</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Peng-Fei</creatorcontrib><creatorcontrib>Xing, Chen-Jie</creatorcontrib><creatorcontrib>Gao, Yong-Yue</creatorcontrib><creatorcontrib>Hang, Chun-Hua</creatorcontrib><creatorcontrib>Zhuang, Zong</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Peng-Fei</au><au>Xing, Chen-Jie</au><au>Gao, Yong-Yue</au><au>Hang, Chun-Hua</au><au>Zhuang, Zong</au><au>Li, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2025-01-03</date><risdate>2025</risdate><volume>25</volume><issue>1</issue><spage>27</spage><epage>9</epage><pages>27-9</pages><artnum>27</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Subarachnoid hemorrhage (SAH) remains a serious public health problem worldwide, especially in economically developed regions/countries. This study intends to thoroughly analyze the incidence, mortality, and disability-adjusted life years (DALYs) rate of SAH at the global, regional, and national levels. This study focused on the differences in SAH incidence between China and Japan from 1990 to 2019, and projected global, Chinese, and Japanese SAH incidence rates until 2030.
Data on the disease burden owing to SAH from 1990 to 2019 were obtained from the Global Burden of Disease (GBD) Study 2019. linear regression analysis was used to calculate the estimated annual percentage change (EAPC) and linear regression method was used to calculate the average annual percentage change (AAPC). Bayesian age-period-cohort (BAPC) model was used to predict the disease burden from 2020 to 2030.
Globally, age-standardised incidence, mortality, and DALYs rates was declined from 1990 to 2019. In 1990-2019, the incidence of SAH decreased in China, while it increased in Japan, especially among middle-aged and elderly women. Projections suggest that the global incidence of SAH will decrease by 2.06% in 2030, with an increase of 6.24% in China and 13.82% in Japan, with the highest increase among Japanese women being 16.19%.
Global SAH incidence, mortality, and DALYs rates declined over the 1990-2019 period, with regional/national SAH mortality and DALYs rates negatively correlated with socio-demographic index (SDI), while SAH incidence was positively correlated with SDI. The incidence of SAH decreased in China and increased in Japan during this period. The predictions show that over the next 10 years, while the incidence of SAH continues to decline globally, the incidence of SAH in China and Japan has increased. Thus, SAH remains a serious disease burden that requires early intervention targeting risk factors and populations at risk that may have increased because of economic development.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39754116</pmid><doi>10.1186/s12889-024-21227-9</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Activities of daily living Adolescent Adult Age Aged Aged, 80 and over Bayes Theorem Bayesian analysis Care and treatment China China - epidemiology Cost of Illness Diagnosis Disability-Adjusted Life Years Disease Disease burden Economic development Female Forecasting Global Burden of Disease Global Health - statistics & numerical data Health aspects Hemorrhage High income Humans Incidence Japan Japan - epidemiology Male Middle Aged Mortality Population Prediction Public health Regional development Regions Regression analysis Risk factors Software Subarachnoid hemorrhage Subarachnoid Hemorrhage - epidemiology Subarachnoid Hemorrhage - mortality Trends Young Adult |
title | Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan |
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