• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

1995-2019 年东非和南非六国青少年和成年人死因的时间变化:基于死因推断数据的多国监测研究。

Temporal changes in cause of death among adolescents and adults in six countries in eastern and southern Africa in 1995-2019: a multi-country surveillance study of verbal autopsy data.

机构信息

Department of Sociology, The Ohio State University, Columbus, OH, USA; Institute for Population Research, The Ohio State University, Columbus, OH, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA.

Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

Lancet Glob Health. 2024 Aug;12(8):e1278-e1287. doi: 10.1016/S2214-109X(24)00171-2.

DOI:10.1016/S2214-109X(24)00171-2
PMID:39030059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11416856/
Abstract

BACKGROUND

The absence of high-quality comprehensive civil registration and vital statistics systems across many settings in Africa has led to little empirical data on causes of death in the region. We aimed to use verbal autopsy data to provide comparative, population-based estimates of cause-specific mortality among adolescents and adults in eastern and southern Africa.

METHODS

In this surveillance study, we harmonised verbal autopsy and residency data from nine health and demographic surveillance system (HDSS) sites in Kenya, Malawi, Tanzania, South Africa, Uganda, and Zimbabwe, each with variable coverage from Jan 1, 1995, to Dec 31, 2019. We included all deaths to adolescents and adults aged 12 or over that were residents of the study sites and had a verbal autopsy conducted. InSilicoVA, a probabilistic model, was used to assign cause of death on the basis of the signs and symptoms reported in the verbal autopsy. Levels and trends in all-cause and cause-specific mortality rates and cause-specific mortality fractions were calculated, stratified by HDSS site, sex, age, and calendar periods.

FINDINGS

52 484 deaths and 5 157 802 person-years were reported among 1 071 913 individuals across the nine sites during the study period. 47 961 (91·4%) deaths had a verbal autopsy, of which 46 570 (97·1%) were assigned a cause of death. All-cause mortality generally decreased across the HDSS sites during this period, particularly for adults aged 20-59 years. In many of the HDSS sites, these decreases were driven by reductions in HIV and tuberculosis-related deaths. In 2010-14, the top causes of death were: road traffic accidents, HIV or tuberculosis, and meningitis or sepsis in adolescents (12-19 years); HIV or tuberculosis in adults aged 20-59 years; and neoplasms and cardiovascular disease in adults aged 60 years and older. There was greater between-HDSS and between-sex variation in causes of death for adolescents compared with adults.

INTERPRETATION

This study shows progress in reducing mortality across eastern and southern Africa but also highlights age, sex, within-HDSS, and between-HDSS differences in causes of adolescent and adult deaths. These findings highlight the importance of detailed local data to inform health needs to ensure continued improvements in survival.

FUNDING

National Institute of Child Health and Human Development of the US National Institutes of Health.

摘要

背景

由于许多非洲国家缺乏高质量的综合民事登记和人口动态统计系统,导致该地区关于死亡原因的实际数据很少。我们旨在利用死因推断数据,提供东非和南非青少年和成年人特定原因死亡率的比较性、基于人群的估计。

方法

在这项监测研究中,我们对来自肯尼亚、马拉维、坦桑尼亚、南非、乌干达和津巴布韦的 9 个健康和人口监测系统(HDSS)站点的死因推断和居住数据进行了协调,每个站点的覆盖范围从 1995 年 1 月 1 日至 2019 年 12 月 31 日不等。我们纳入了所有居住在研究地点且进行了死因推断的 12 岁及以上青少年和成年人的死亡。基于死因推断中报告的体征和症状,使用概率模型 InSilicoVA 来确定死亡原因。计算了全因和特定原因死亡率以及特定原因死亡率分数的水平和趋势,按 HDSS 站点、性别、年龄和日历时期进行分层。

结果

在研究期间,9 个站点报告了 1071913 人中有 52484 例死亡和 5157802 人年,其中 47961 例(91.4%)有死因推断,其中 46570 例(97.1%)确定了死因。在整个 HDSS 站点中,全因死亡率总体呈下降趋势,尤其是 20-59 岁的成年人。在许多 HDSS 站点中,这种下降主要是由于艾滋病毒和结核病相关死亡的减少。在 2010-14 年,青少年(12-19 岁)的主要死亡原因是道路交通意外、艾滋病毒或结核病以及脑膜炎或败血症;20-59 岁成年人的主要死亡原因是艾滋病毒或结核病;60 岁及以上成年人的主要死亡原因是肿瘤和心血管疾病。与成年人相比,青少年的死亡率在 HDSS 站点之间和性别之间存在更大的差异。

解释

本研究表明,东非和南非的死亡率有所下降,但也突显了青少年和成年人死亡原因在年龄、性别、HDSS 内部和 HDSS 之间的差异。这些发现强调了详细的本地数据对于确定卫生需求的重要性,以确保生存状况的持续改善。

资助

美国国立卫生研究院国家儿童健康与人类发展研究所。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/9b96a7594514/nihms-2010731-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/5249323cd01b/nihms-2010731-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/ae465032385f/nihms-2010731-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/9b96a7594514/nihms-2010731-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/5249323cd01b/nihms-2010731-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/ae465032385f/nihms-2010731-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a41/11416856/9b96a7594514/nihms-2010731-f0003.jpg

相似文献

1
Temporal changes in cause of death among adolescents and adults in six countries in eastern and southern Africa in 1995-2019: a multi-country surveillance study of verbal autopsy data.1995-2019 年东非和南非六国青少年和成年人死因的时间变化:基于死因推断数据的多国监测研究。
Lancet Glob Health. 2024 Aug;12(8):e1278-e1287. doi: 10.1016/S2214-109X(24)00171-2.
2
Trend and causes of adult mortality in Kersa health and demographic surveillance system (Kersa HDSS), eastern Ethiopia: verbal autopsy method.埃塞俄比亚东部克萨卫生与人口监测系统(Kersa HDSS)中成人死亡率的趋势及原因:死因推断方法
Popul Health Metr. 2017 Jul 1;15(1):22. doi: 10.1186/s12963-017-0144-2.
3
Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.全球、地区和国家按年龄、性别划分的 264 种死因的死亡率:2016 年全球疾病负担研究的系统分析。
Lancet. 2017 Sep 16;390(10100):1151-1210. doi: 10.1016/S0140-6736(17)32152-9.
4
A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa.对撒哈拉以南非洲七个 INDEPTH 网络健康和人口监测系统中全因和死因死亡率的家庭社会经济地位比较。
Glob Health Action. 2019;12(1):1608013. doi: 10.1080/16549716.2019.1608013.
5
Pregnancy-related mortality up to 1 year postpartum in sub-Saharan Africa: an analysis of verbal autopsy data from six countries.撒哈拉以南非洲地区产后 1 年内与妊娠相关的死亡:来自六个国家的死因推断数据分析。
BJOG. 2024 Jan;131(2):163-174. doi: 10.1111/1471-0528.17606. Epub 2023 Jul 19.
6
Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.全球、地区和国家按年龄、性别划分的 240 种死因的全死因和特定死因死亡率,1990-2013 年:2013 年全球疾病负担研究的系统分析。
Lancet. 2015 Jan 10;385(9963):117-71. doi: 10.1016/S0140-6736(14)61682-2. Epub 2014 Dec 18.
7
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.全球 204 个国家和地区及 811 个亚级行政区 1990 年至 2021 年 288 种死因及预期寿命的归因分析:全球疾病负担研究 2021 系统分析。
Lancet. 2024 May 18;403(10440):2100-2132. doi: 10.1016/S0140-6736(24)00367-2. Epub 2024 Apr 3.
8
Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.全球、区域和国家按年龄、性别和死因分类的死亡率,195 个国家和地区,1980-2017 年:2017 年全球疾病负担研究的系统分析。
Lancet. 2018 Nov 10;392(10159):1736-1788. doi: 10.1016/S0140-6736(18)32203-7. Epub 2018 Nov 8.
9
Direct maternal deaths attributable to HIV in the era of antiretroviral therapy: evidence from three population-based HIV cohorts with verbal autopsy.抗反转录病毒疗法时代与 HIV 相关的直接孕产妇死亡:来自三个基于人群的使用死因推断调查的 HIV 队列研究证据。
AIDS. 2020 Jul 15;34(9):1397-1405. doi: 10.1097/QAD.0000000000002552.
10
The effect of antiretroviral therapy provision on all-cause, AIDS and non-AIDS mortality at the population level--a comparative analysis of data from four settings in Southern and East Africa.抗逆转录病毒疗法的提供对人群水平全因死亡率、艾滋病死亡率和非艾滋病死亡率的影响——来自南部和东部非洲四个地区数据的比较分析。
Trop Med Int Health. 2012 Aug;17(8):e84-93. doi: 10.1111/j.1365-3156.2012.03032.x.

引用本文的文献

1
High epilepsy prevalence and excess mortality in onchocerciasis-endemic counties of South Sudan: A call for integrated interventions.南苏丹盘尾丝虫病流行县的癫痫高患病率和超额死亡率:呼吁采取综合干预措施。
PLoS Negl Trop Dis. 2025 Jun 30;19(6):e0013244. doi: 10.1371/journal.pntd.0013244. eCollection 2025 Jun.

本文引用的文献

1
The openVA Toolkit for Verbal Autopsies.用于死因推断的开放式VA工具包。
R J. 2022 Dec;14(4):316-334. doi: 10.32614/rj-2023-020. Epub 2023 Feb 24.
2
Mortality transition over a quarter century in rural South Africa: findings from population surveillance in Agincourt 1993-2018.在南非农村地区,过去四分之一个世纪的死亡率变迁:来自 1993-2018 年阿格因库尔人群监测的发现。
Glob Health Action. 2021 Oct 26;14(sup1):1990507. doi: 10.1080/16549716.2021.1990507.
3
Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008-2017).
内罗毕贫民窟非传染性疾病死亡率的趋势及风险因素(2008 - 2017年)
Glob Epidemiol. 2021 Nov;3:100049. doi: 10.1016/j.gloepi.2021.100049.
4
Cohort Profile Update: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey.队列简介更新:非洲人口信息系统(ACDIS)与基于人群的艾滋病毒调查。
Int J Epidemiol. 2021 Mar 3;50(1):33-34. doi: 10.1093/ije/dyaa264.
5
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 369 种疾病和伤害导致的全球负担:2019 年全球疾病负担研究的系统分析。
Lancet. 2020 Oct 17;396(10258):1204-1222. doi: 10.1016/S0140-6736(20)30925-9.
6
Direct maternal deaths attributable to HIV in the era of antiretroviral therapy: evidence from three population-based HIV cohorts with verbal autopsy.抗反转录病毒疗法时代与 HIV 相关的直接孕产妇死亡:来自三个基于人群的使用死因推断调查的 HIV 队列研究证据。
AIDS. 2020 Jul 15;34(9):1397-1405. doi: 10.1097/QAD.0000000000002552.
7
Global Health Observatory Data Repository.全球卫生观测站数据储存库。
Med Ref Serv Q. 2020 Jan-Mar;39(1):67-74. doi: 10.1080/02763869.2019.1693231.
8
Improving birth and death data for African decision making.改善非洲决策所需的出生和死亡数据。
Lancet Glob Health. 2020 Jan;8(1):e35-e36. doi: 10.1016/S2214-109X(19)30397-3.
9
Non-communicable diseases in sub-Saharan Africa: a scoping review of large cohort studies.撒哈拉以南非洲的非传染性疾病:大型队列研究的范围综述。
J Glob Health. 2019 Dec;9(2):020409. doi: 10.7189/jogh.09.020409.
10
An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model.一种综合处理世卫组织 2016 年死因推断数据的方法:InterVA-5 模型。
BMC Med. 2019 May 30;17(1):102. doi: 10.1186/s12916-019-1333-6.